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3. Group-Constrained Laplacian Eigenmaps: Longitudinal AD Biomarker Learning

Author

Guerrero, R., Ledig, C., Schmidt-Richberg, A., Rueckert, D., Hutchison, David, Editorial Board Member, Kanade, Takeo, Editorial Board Member, Kittler, Josef, Editorial Board Member, Kleinberg, Jon M., Editorial Board Member, Mattern, Friedemann, Editorial Board Member, Mitchell, John C., Editorial Board Member, Naor, Moni, Editorial Board Member, Pandu Rangan, C., Editorial Board Member, Terzopoulos, Demetri, Editorial Board Member, Tygar, Doug, Editorial Board Member, Weikum, Gerhard, Series Editor, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Zhou, Luping, editor, Wang, Li, editor, Wang, Qian, editor, and Shi, Yinghuan, editor

Published
2015
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5. Variation in Structure and Process of Care in Traumatic Brain Injury: Provider Profiles of European Neurotrauma Centers Participating in the CENTER-TBI Study

Author

Cnossen M. C., Polinder S., Lingsma H. F., Maas A. I. R., Menon D., Steyerberg E. W., Adams H., Alessandro M., Allanson J., Amrein K., Andaluz N., Andelic N., Andrea N., Andreassen L., Anke A., Antoni A., Ardon H., Audibert G., Auslands K., Azouvi P., Baciu C., Bacon A., Badenes R., Baglin T., Bartels R., Barzo P., Bauerfeind U., Beer R., Belda F. J., Bellander B. -M., Belli A., Bellier R., Benali H., Benard T., Berardino M., Beretta L., Beynon C., Bilotta F., Binder H., Biqiri E., Blaabjerg M., Borgen L. S., Bouzat P., Bragge P., Brazinova A., Brehar F., Brorsson C., Buki A., Bullinger M., Buckova V., Calappi E., Cameron P., Carbayo L. G., Carise E., Carpenter C., Castano-Leon A. M., Causin F., Chevallard G., Chieregato A., Citerio G., Coburn M. C., Coles J., Cooper J. D., Correia M., Covic A., Curry N., Czeiter E., Czosnyka M., Dahyot-Fizelier C., Damas F., Damas P., Dawes H., De Keyser V., Della Corte F., Depreitere B., Ding S., Dippel D., Dizdarevic K., Duliere G. -L., Dzeko A., Eapen G., Engemann H., Ercole A., Esser P., Ezer E., Fabricius M., Feigin V. L., Feng J., Foks K., Fossi F., Francony G., Frantzen J., Freo U., Frisvold S., Furmanov A., Gagliardo P., Galanaud D., Gao G., Geleijns K., Ghuysen A., Giraud B., Glocker B., Gomez P. A., Grossi F., Gruen R. L., Gupta D., Haagsma J. A., Hadzic E., Haitsma I., Hartings J. A., Helbok R., Helseth E., Hertle D., Hill S., Hoedemaekers A., Hoefer S., Hutchinson P. J., Haberg A. K., Jacobs B., Janciak I., Janssens K., Jiang J., Jones K., Kalala J. -P., Kamnitsas K., Karan M., Karau J., Katila A., Kaukonen M., Keeling D., Kerforne T., Ketharanathan N., Kettunen J., Kivisaari R., Kolias A. G., Kolumban B., Kompanje E., Kondziella D., Koskinen L. -O., Kovacs N., Kalovits F., Lagares A., Lanyon L., Laureys S., Lauritzen M., Lecky F., Ledig C., Lefering R., Legrand V., Lei J., Levi L., Lightfoot R., Lingsma H., Loeckx D., Lozano A., Luddington R., Luijten-Arts C., MacDonald S., MacFayden C., Maegele M., Majdan M., Major S., Manara A., Manhes P., Manley G., Martin D., Martino C., Maruenda A., Marechal H., Mastelova D., Mattern J., McMahon C., Melegh B., Menovsky T., Morganti-Kossmann C., Mulazzi D., Mutschler M., Muhlan H., Negru A., Nelson D., Neugebauer E., Newcombe V., Noirhomme Q., Nyiradi J., Oddo M., Oldenbeuving A., Oresic M., Ortolano F., Palotie A., Parizel P. M., Patruno A., Payen J. -F., Perera N., Perlbarg V., Persona P., Peul W., Pichon N., Piilgaard H., Piippo A., Pili F. S., Pirinen M., Ples H., Pomposo I., Psota M., Pullens P., Puybasset L., Ragauskas A., Raj R., Rambadagalla M., Rehorcikova V., Rhodes J., Richardson S., Ripatti S., Rocka S., Rodier N., Roe C., Roise O., Roks G., Romegoux P., Rosand J., Rosenfeld J., Rosenlund C., Rosenthal G., Rossaint R., Rossi S., Rostalski T., Rueckert D. L., Ruiz De Arcaute F., Rusnak M., Sacchi M., Sahakian B., Sahuquillo J., Sakowitz O., Sala F., Sanchez-Pena P., Sanchez-Porras R., Sandor J., Santos E., Sasse N., Sasu L., Savo D., Schipper I., Schlosser B., Schmidt S., Schneider A., Schoechl H., Schoonman G., Schou R. F., Schwendenwein E., Scholl M., Sir O., Skandsen T., Smakman L., Smeets D., Smielewski P., Sorinola A., Stamatakis E. L., Stanworth S., Stegemann K., Steinbuchel N., Stevens R., Stewart W., Stocchetti N., Sundstrom N., Synnot A., Szabo J., Soderberg J., Taccone F. S., Tamas V., Tanskanen P., Tascu A., Taylor M. S., Te Ao B., Tenovuo O., Teodorani G., Theadom A., Thomas M., Tibboel D., Tolias C., Tshibanda J. -F. L., Tudora C. M., Vajkoczy P., Valeinis E., Van Hecke W., Van Praag D., Van Roost D., Van Vlierberghe E., Vande Vyvere T., Vanhaudenhuyse A., Vargiolu A., Vega E., Verheyden J., Vespa P. M., Vik A., Vilcinis R., Vizzino G., Vleggeert-Lankamp C., Volovici V., Vulekovic P., Vamos Z., Wade D., Wang K. K. W., Wang L., Wildschut E., Williams G., Willumsen L., Wilson A., Wilson L., Winkler M. K. L., Ylen P., Younsi A., Zaaroor M., Zhang Z., Zheng Z., Zumbo F., De Lange S., De Ruiter G. C. W., Den Boogert H., Van Dijck J., Van Essen T. A., Van Heugten C., Van Der Jagt M., Van Der Naalt J., CENTER-Tbi Invest Participants, Cnossen, M, Polinder, S, Lingsma, H, Maas, A, Menon, D, Steyerberg, E, Adams, H, Alessandro, M, Allanson, J, Amrein, K, Andaluz, N, Andelic, N, Andrea, N, Andreassen, L, Anke, A, Antoni, A, Ardon, H, Audibert, G, Auslands, K, Azouvi, P, Baciu, C, Bacon, A, Badenes, R, Baglin, T, Bartels, R, Barzo, P, Bauerfeind, U, Beer, R, Belda, F, Bellander, B, Belli, A, Bellier, R, Benali, H, Benard, T, Berardino, M, Beretta, L, Beynon, C, Bilotta, F, Binder, H, Biqiri, E, Blaabjerg, M, Borgen, L, Bouzat, P, Bragge, P, Brazinova, A, Brehar, F, Brorsson, C, Buki, A, Bullinger, M, Buckova, V, Calappi, E, Cameron, P, Carbayo, L, Carise, E, Carpenter, C, Castano-Leon, A, Causin, F, Chevallard, G, Chieregato, A, Citerio, G, Coburn, M, Coles, J, Cooper, J, Correia, M, Covic, A, Curry, N, Czeiter, E, Czosnyka, M, Dahyot-Fizelier, C, Damas, F, Damas, P, Dawes, H, De Keyser, V, Della Corte, F, Depreitere, B, Ding, S, Dippel, D, Dizdarevic, K, Duliere, G, Dzeko, A, Eapen, G, Engemann, H, Ercole, A, Esser, P, Ezer, E, Fabricius, M, Feigin, V, Feng, J, Foks, K, Fossi, F, Francony, G, Frantzen, J, Freo, U, Frisvold, S, Furmanov, A, Gagliardo, P, Galanaud, D, Gao, G, Geleijns, K, Ghuysen, A, Giraud, B, Glocker, B, Gomez, P, Grossi, F, Gruen, R, Gupta, D, Haagsma, J, Hadzic, E, Haitsma, I, Hartings, J, Helbok, R, Helseth, E, Hertle, D, Hill, S, Hoedemaekers, A, Hoefer, S, Hutchinson, P, Haberg, A, Jacobs, B, Janciak, I, Janssens, K, Jiang, J, Jones, K, Kalala, J, Kamnitsas, K, Karan, M, Karau, J, Katila, A, Kaukonen, M, Keeling, D, Kerforne, T, Ketharanathan, N, Kettunen, J, Kivisaari, R, Kolias, A, Kolumban, B, Kompanje, E, Kondziella, D, Koskinen, L, Kovacs, N, Kalovits, F, Lagares, A, Lanyon, L, Laureys, S, Lauritzen, M, Lecky, F, Ledig, C, Lefering, R, Legrand, V, Lei, J, Levi, L, Lightfoot, R, Loeckx, D, Lozano, A, Luddington, R, Luijten-Arts, C, Macdonald, S, Macfayden, C, Maegele, M, Majdan, M, Major, S, Manara, A, Manhes, P, Manley, G, Martin, D, Martino, C, Maruenda, A, Marechal, H, Mastelova, D, Mattern, J, Mcmahon, C, Melegh, B, Menovsky, T, Morganti-Kossmann, C, Mulazzi, D, Mutschler, M, Muhlan, H, Negru, A, Nelson, D, Neugebauer, E, Newcombe, V, Noirhomme, Q, Nyiradi, J, Oddo, M, Oldenbeuving, A, Oresic, M, Ortolano, F, Palotie, A, Parizel, P, Patruno, A, Payen, J, Perera, N, Perlbarg, V, Persona, P, Peul, W, Pichon, N, Piilgaard, H, Piippo, A, Pili, F, Pirinen, M, Ples, H, Pomposo, I, Psota, M, Pullens, P, Puybasset, L, Ragauskas, A, Raj, R, Rambadagalla, M, Rehorcikova, V, Rhodes, J, Richardson, S, Ripatti, S, Rocka, S, Rodier, N, Roe, C, Roise, O, Roks, G, Romegoux, P, Rosand, J, Rosenfeld, J, Rosenlund, C, Rosenthal, G, Rossaint, R, Rossi, S, Rostalski, T, Rueckert, D, Ruiz De Arcaute, F, Rusnak, M, Sacchi, M, Sahakian, B, Sahuquillo, J, Sakowitz, O, Sala, F, Sanchez-Pena, P, Sanchez-Porras, R, Sandor, J, Santos, E, Sasse, N, Sasu, L, Savo, D, Schipper, I, Schlosser, B, Schmidt, S, Schneider, A, Schoechl, H, Schoonman, G, Schou, R, Schwendenwein, E, Scholl, M, Sir, O, Skandsen, T, Smakman, L, Smeets, D, Smielewski, P, Sorinola, A, Stamatakis, E, Stanworth, S, Stegemann, K, Steinbuchel, N, Stevens, R, Stewart, W, Stocchetti, N, Sundstrom, N, Synnot, A, Szabo, J, Soderberg, J, Taccone, F, Tamas, V, Tanskanen, P, Tascu, A, Taylor, M, Te Ao, B, Tenovuo, O, Teodorani, G, Theadom, A, Thomas, M, Tibboel, D, Tolias, C, Tshibanda, J, Tudora, C, Vajkoczy, P, Valeinis, E, Van Hecke, W, Van Praag, D, Van Roost, D, Van Vlierberghe, E, Vande Vyvere, T, Vanhaudenhuyse, A, Vargiolu, A, Vega, E, Verheyden, J, Vespa, P, Vik, A, Vilcinis, R, Vizzino, G, Vleggeert-Lankamp, C, Volovici, V, Vulekovic, P, Vamos, Z, Wade, D, Wang, K, Wang, L, Wildschut, E, Williams, G, Willumsen, L, Wilson, A, Wilson, L, Winkler, M, Ylen, P, Younsi, A, Zaaroor, M, Zhang, Z, Zheng, Z, Zumbo, F, De Lange, S, De Ruiter, G, Den Boogert, H, Van Dijck, J, Van Essen, T, Van Heugten, C, Van Der Jagt, M, Van Der Naalt, J, Cnossen, M. C., Polinder, S., Lingsma, H. F., Maas, A. I. R., Menon, D., Steyerberg, E. W., Adams, H., Alessandro, M., Allanson, J., Amrein, K., Andaluz, N., Andelic, N., Andrea, N., Andreassen, L., Anke, A., Antoni, A., Ardon, H., Audibert, G., Auslands, K., Azouvi, P., Baciu, C., Bacon, A., Badenes, R., Baglin, T., Bartels, R., Barzo, P., Bauerfeind, U., Beer, R., Belda, F. J., Bellander, B. -M., Belli, A., Bellier, R., Benali, H., Benard, T., Berardino, M., Beretta, L., Beynon, C., Bilotta, F., Binder, H., Biqiri, E., Blaabjerg, M., Borgen, L. S., Bouzat, P., Bragge, P., Brazinova, A., Brehar, F., Brorsson, C., Buki, A., Bullinger, M., Buckova, V., Calappi, E., Cameron, P., Carbayo, L. G., Carise, E., Carpenter, C., Castano-Leon, A. M., Causin, F., Chevallard, G., Chieregato, A., Citerio, G., Coburn, M. C., Coles, J., Cooper, J. D., Correia, M., Covic, A., Curry, N., Czeiter, E., Czosnyka, M., Dahyot-Fizelier, C., Damas, F., Damas, P., Dawes, H., De Keyser, V., Della Corte, F., Depreitere, B., Ding, S., Dippel, D., Dizdarevic, K., Duliere, G. -L., Dzeko, A., Eapen, G., Engemann, H., Ercole, A., Esser, P., Ezer, E., Fabricius, M., Feigin, V. L., Feng, J., Foks, K., Fossi, F., Francony, G., Frantzen, J., Freo, U., Frisvold, S., Furmanov, A., Gagliardo, P., Galanaud, D., Gao, G., Geleijns, K., Ghuysen, A., Giraud, B., Glocker, B., Gomez, P. A., Grossi, F., Gruen, R. L., Gupta, D., Haagsma, J. A., Hadzic, E., Haitsma, I., Hartings, J. A., Helbok, R., Helseth, E., Hertle, D., Hill, S., Hoedemaekers, A., Hoefer, S., Hutchinson, P. J., Haberg, A. K., Jacobs, B., Janciak, I., Janssens, K., Jiang, J., Jones, K., Kalala, J. -P., Kamnitsas, K., Karan, M., Karau, J., Katila, A., Kaukonen, M., Keeling, D., Kerforne, T., Ketharanathan, N., Kettunen, J., Kivisaari, R., Kolias, A. G., Kolumban, B., Kompanje, E., Kondziella, D., Koskinen, L. -O., Kovacs, N., Kalovits, F., Lagares, A., Lanyon, L., Laureys, S., Lauritzen, M., Lecky, F., Ledig, C., Lefering, R., Legrand, V., Lei, J., Levi, L., Lightfoot, R., Lingsma, H., Loeckx, D., Lozano, A., Luddington, R., Luijten-Arts, C., Macdonald, S., Macfayden, C., Maegele, M., Majdan, M., Major, S., Manara, A., Manhes, P., Manley, G., Martin, D., Martino, C., Maruenda, A., Marechal, H., Mastelova, D., Mattern, J., Mcmahon, C., Melegh, B., Menovsky, T., Morganti-Kossmann, C., Mulazzi, D., Mutschler, M., Muhlan, H., Negru, A., Nelson, D., Neugebauer, E., Newcombe, V., Noirhomme, Q., Nyiradi, J., Oddo, M., Oldenbeuving, A., Oresic, M., Ortolano, F., Palotie, A., Parizel, P. M., Patruno, A., Payen, J. -F., Perera, N., Perlbarg, V., Persona, P., Peul, W., Pichon, N., Piilgaard, H., Piippo, A., Pili, F. S., Pirinen, M., Ples, H., Pomposo, I., Psota, M., Pullens, P., Puybasset, L., Ragauskas, A., Raj, R., Rambadagalla, M., Rehorcikova, V., Rhodes, J., Richardson, S., Ripatti, S., Rocka, S., Rodier, N., Roe, C., Roise, O., Roks, G., Romegoux, P., Rosand, J., Rosenfeld, J., Rosenlund, C., Rosenthal, G., Rossaint, R., Rossi, S., Rostalski, T., Rueckert, D. L., Ruiz De Arcaute, F., Rusnak, M., Sacchi, M., Sahakian, B., Sahuquillo, J., Sakowitz, O., Sala, F., Sanchez-Pena, P., Sanchez-Porras, R., Sandor, J., Santos, E., Sasse, N., Sasu, L., Savo, D., Schipper, I., Schlosser, B., Schmidt, S., Schneider, A., Schoechl, H., Schoonman, G., Schou, R. F., Schwendenwein, E., Scholl, M., Sir, O., Skandsen, T., Smakman, L., Smeets, D., Smielewski, P., Sorinola, A., Stamatakis, E. L., Stanworth, S., Stegemann, K., Steinbuchel, N., Stevens, R., Stewart, W., Stocchetti, N., Sundstrom, N., Synnot, A., Szabo, J., Soderberg, J., Taccone, F. S., Tamas, V., Tanskanen, P., Tascu, A., Taylor, M. S., Te Ao, B., Tenovuo, O., Teodorani, G., Theadom, A., Thomas, M., Tibboel, D., Tolias, C., Tshibanda, J. -F. L., Tudora, C. M., Vajkoczy, P., Valeinis, E., Van Hecke, W., Van Praag, D., Van Roost, D., Van Vlierberghe, E., Vande Vyvere, T., Vanhaudenhuyse, A., Vargiolu, A., Vega, E., Verheyden, J., Vespa, P. M., Vik, A., Vilcinis, R., Vizzino, G., Vleggeert-Lankamp, C., Volovici, V., Vulekovic, P., Vamos, Z., Wade, D., Wang, K. K. W., Wang, L., Wildschut, E., Williams, G., Willumsen, L., Wilson, A., Wilson, L., Winkler, M. K. L., Ylen, P., Younsi, A., Zaaroor, M., Zhang, Z., Zheng, Z., Zumbo, F., De Lange, S., De Ruiter, G. C. W., Den Boogert, H., Van Dijck, J., Van Essen, T. A., Van Heugten, C., Van Der Jagt, M., Van Der Naalt, J., Commission of the European Communities, Molecular Neuroscience and Ageing Research (MOLAR), Menon, David [0000-0002-3228-9692], Apollo - University of Cambridge Repository, and Public Health

Subjects
Questionnaires, Comparative Effectiveness Research, Critical Care and Emergency Medicine, Medical Doctors, Neurologi, Health Care Providers, CENTER-TBI Investigators and Participants, lcsh:Medicine, Poison control, Occupational safety and health, Diagnostic Radiology, Geographical Locations, 0302 clinical medicine, Trauma Centers, Surveys and Questionnaires, Brain Injuries, Traumatic, Medicine and Health Sciences, Brain Damage, Longitudinal Studies, Prospective Studies, Israel, lcsh:Science, Tomography, Trauma Medicine, Multidisciplinary, Radiology and Imaging, traumatic brain injury, Trauma center, Hospitals, 3. Good health, Europe, Hospitalization, Professions, Intensive Care Units, Neurology, Research Design, Intracranial pressure monitoring, Medical emergency, Engineering sciences. Technology, Research Article, medicine.medical_specialty, Imaging Techniques, Traumatic brain injury, General Science & Technology, Concordance, Comparative effectiveness research, Neuroimaging, Research and Analysis Methods, 03 medical and health sciences, Diagnostic Medicine, Physicians, Injury prevention, MD Multidisciplinary, medicine, Humans, Treatment Guidelines, Survey Research, Health Care Policy, business.industry, lcsh:R, Biology and Life Sciences, 030208 emergency & critical care medicine, Length of Stay, medicine.disease, ta3124, Computed Axial Tomography, Health Care, Health Care Facilities, Family medicine, People and Places, lcsh:Q, Population Groupings, business, 030217 neurology & neurosurgery, Neuroscience
Abstract

© 2016 Cnossen et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.Introduction: The strength of evidence underpinning care and treatment recommendations in traumatic brain injury (TBI) is low. Comparative effectiveness research (CER) has been proposed as a framework to provide evidence for optimal care for TBI patients. The first step in CER is to map the existing variation. The aim of current study is to quantify variation in general structural and process characteristics among centers participating in the Collaborative European NeuroTrauma Effectiveness Research in Traumatic Brain Injury (CENTER-TBI) study. Methods: We designed a set of 11 provider profiling questionnaires with 321 questions about various aspects of TBI care, chosen based on literature and expert opinion. After pilot testing, questionnaires were disseminated to 71 centers from 20 countries participating in the CENTER-TBI study. Reliability of questionnaires was estimated by calculating a concordance rate among 5% duplicate questions. Results: All 71 centers completed the questionnaires. Median concordance rate among duplicate questions was 0.85. The majority of centers were academic hospitals (n = 65, 92%), designated as a level I trauma center (n = 48, 68%) and situated in an urban location (n = 70, 99%). The availability of facilities for neuro-trauma care varied across centers; e.g. 40 (57%) had a dedicated neuro-intensive care unit (ICU), 36 (51%) had an in-hospital rehabilitation unit and the organization of the ICU was closed in 64% (n = 45) of the centers. In addition, we found wide variation in processes of care, such as the ICU admission policy and intracranial pressure monitoring policy among centers. Conclusion: Even among high-volume, specialized neurotrauma centers there is substantial variation in structures and processes of TBI care. This variation provides an opportunity to study effectiveness of specific aspects of TBI care and to identify best practices with CER approaches.

Published
2020
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6. Contributors

Author

Abràmoff, M.D., primary, Ballester, M.A. González, additional, Barbu, A., additional, Birkbeck, N., additional, Bogunović, H., additional, Carass, A., additional, Chen, M., additional, Collins, D.J., additional, Comaniciu, D., additional, Doran, S., additional, Georgescu, B., additional, Glocker, B., additional, Grbic, S., additional, Feulner, J., additional, Haynor, D.R., additional, Hermosillo, G., additional, Ionasec, R., additional, Kanade, T., additional, Kashyap, S., additional, Kelm, B.M., additional, Kim, M., additional, Kiraly, A.P., additional, Konukoglu, E., additional, Lay, N., additional, Leach, M.O., additional, Ledig, C., additional, Liu, D., additional, Mansi, T., additional, Metaxas, D.N., additional, Novak, C.L., additional, Odry, B.L., additional, Oguz, I., additional, Orton, M., additional, Peng, Z., additional, Prince, J.L., additional, Rueckert, D., additional, Sanroma, G., additional, Shen, D., additional, Shin, H.-C., additional, Sofka, M., additional, Sonka, M., additional, Summers, R.M., additional, Voigt, I., additional, Wimmer, A., additional, Wu, G., additional, Wu, X., additional, Xu, D., additional, Yang, D., additional, Yao, J., additional, Zhan, Y., additional, Zhang, S., additional, Zheng, Y., additional, Zhou, S. Kevin, additional, and Zhou, X.S., additional

Published
2016
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9. Correction to: Variation in neurosurgical management of traumatic brain injury: a survey in 68 centers participating in the CENTER-TBI study (Acta Neurochirurgica, (2019), 161, 3, (435-449), 10.1007/s00701-018-3761-z)

Author

van Essen T. A., van Essen, T, den Boogert, H, Cnossen, M, de Ruiter, G, Haitsma, I, Polinder, S, Steyerberg, E, Menon, D, Maas, A, Lingsma, H, Peul, W, Ackerlund, C, Adams, H, Agnoletti, V, Allanson, J, Amrein, K, Andaluz, N, Andelic, N, Andreassen, L, Antun, A, Anke, A, Antoni, A, Ardon, H, Audibert, G, Auslands, K, Azouvi, P, Azzolini, M, Baciu, C, Badenes, R, Bartels, R, Larizza, D, Barzo, P, Bauerfeind, U, Beauvais, R, Beer, R, Belda, F, Bellander, B, Belli, A, Bellier, R, Benali, H, Benard, T, Berardino, M, Beretta, L, Beynon, C, Bilotta, F, Binder, H, Biqiri, E, Blaabjerg, M, Bouzat, P, Bragge, P, Brazinova, A, Brinck, V, Brooker, J, Brorsson, C, Buki, A, Bullinger, M, Calappi, E, Calvi, M, Cameron, P, Carbayo, L, Carbonara, M, Carise, E, Carpenter, K, Castano-Leon, A, Causin, F, Chevallard, G, Chieregato, A, Citerio, G, Coburn, M, Coles, J, Coles-Kemp, L, Collett, J, Cooper, J, Correia, M, Covic, A, Curry, N, Czeiter, E, Czosnyka, M, Dahyot-Fizelier, C, Damas, F, Damas, P, Dawes, H, De Keyser, V, Della, C, Depreitere, B, Dilvesi, D, Ding, S, Dippel, D, Dixit, A, Donoghue, E, Dreier, J, Duliere, G, Eapen, G, Engemann, H, Ercole, A, Esser, P, Ezer, E, Fabricius, M, Feigin, V, Feng, J, Foks, K, Fossi, F, Francony, G, Freo, U, Frisvold, S, Furmanov, A, Gagliardo, P, Galanaud, D, Gantner, D, Gao, G, Geleijns, K, George, P, Ghuysen, A, Giga, L, Giraud, B, Glocker, B, Golubovic, J, Gomez, P, Grossi, F, Gruen, R, Gupta, D, Haagsma, J, Hartings, J, Helbok, R, Helseth, E, Hertle, D, Hoedemaekers, A, Hoefer, S, Horton, L, Huijben, J, Hutchinson, P, Haberg, A, Jacobs, B, Jankowski, S, Jarrett, M, Jelaca, B, Jiang, J, Jones, K, Kamnitsas, K, Karan, M, Katila, A, Kaukonen, M, Kerforne, T, Kivisaari, R, Kolias, A, Kolumban, B, Kompanje, E, Kolundzija, K, Kondziella, D, Koskinen, L, Kovacs, N, Lagares, A, Lanyon, L, Laureys, S, Lecky, F, Ledig, C, Lefering, R, Legrand, V, Lei, J, Levi, L, Lightfoot, R, Loeckx, D, Lozano, A, Macdonald, S, Maegele, M, Majdan, M, Major, S, Manara, A, Manley, G, Martin, D, Martin, L, Martino, C, Maruenda, A, Marechal, H, Masala, A, Mattern, J, Mcfadyen, C, Mcmahon, C, Melegh, B, Menovsky, T, Morganti-Kossmann, C, Mulazzi, D, Muraleedharan, V, Murray, L, Muhlan, H, Nair, N, Negru, A, Nelson, D, Newcombe, V, Nieboer, D, Noirhomme, Q, Nyiradi, J, Oddo, M, Oldenbeuving, A, Oresic, M, Ortolano, F, Palotie, A, Parizel, P, Patruno, A, Payen, J, Perera, N, Perlbarg, V, Persona, P, Piippo-Karjalainen, A, Pili, F, Pirinen, M, Ples, H, Poca, M, Pomposo, I, Posti, J, Puybasset, L, Radoi, A, Ragauskas, A, Raj, R, Rambadagalla, M, Real, R, Rehorcikova, V, Rhodes, J, Ripatti, S, Rocka, S, Roe, C, Roise, O, Roks, G, Rosand, J, Rosenfeld, J, Rosenlund, C, Rosenthal, G, Rossaint, R, Rossi, S, Rueckert, D, Rusnak, M, Sacchi, M, Sahakian, B, Sahuquillo, J, Sakowitz, O, Sala, F, Sanchez-Porras, R, Sandor, J, Santos, E, Sasu, L, Savo, D, Schaffer, N, Schipper, I, Schlosser, B, Schmidt, S, Schoechl, H, Schoonman, G, Schou, R, Schwendenwein, E, Scholl, M, Sir, O, Skandsen, T, Smakman, L, Smeets, D, Smielewski, P, Sorinola, A, Stamatakis, E, Stanworth, S, Steinbuchel, N, Stevanovic, A, Stevens, R, Stewart, W, Stocchetti, N, Sundstrom, N, Synnot, A, Taccone, F, Takala, R, Tamas, V, Tanskanen, P, Taylor, M, Te Ao, B, Tenovuo, O, Telgmann, R, Teodorani, G, Theadom, A, Thomas, M, Tibboel, D, Tolias, C, Tshibanda, J, Trapani, T, Tudora, C, Vajkoczy, P, Vallance, S, Valeinis, E, Van der Steen, G, van der Jagt, M, van der Naalt, J, van Dijck, J, Van Hecke, W, van Heugten, C, Van Praag, D, Vande Vyvere, T, Van Waesberghe, J, Vanhaudenhuyse, A, Vargiolu, A, Vega, E, Velt, K, Verheyden, J, Vespa, P, Vik, A, Vilcinis, R, Vizzino, G, Vleggeert-Lankamp, C, Volovici, V, Voormolen, D, Vulekovic, P, Vamos, Z, Wade, D, Wang, K, Wang, L, Wessels, L, Wildschut, E, Williams, G, Wilson, L, Winkler, M, Wolf, S, Ylen, P, Younsi, A, Zaaroor, M, Zhihui, Y, Ziverte, A, Zumbo, F, van Essen T. A., den Boogert H. F., Cnossen M. C., de Ruiter G. C. W., Haitsma I., Polinder S., Steyerberg E. W., Menon D., Maas A. I. R., Lingsma H. F., Peul W. C., Ackerlund C., Adams H., Agnoletti V., Allanson J., Amrein K., Andaluz N., Andelic N., Andreassen L., Antun A., Anke A., Antoni A., Ardon H., Audibert G., Auslands K., Azouvi P., Azzolini M. L., Baciu C., Badenes R., Bartels R., Larizza D., Barzo P., Bauerfeind U., Beauvais R., Beer R., Belda F. J., Bellander B. -M., Belli A., Bellier R., Benali H., Benard T., Berardino M., Beretta L., Beynon C., Bilotta F., Binder H., Biqiri E., Blaabjerg M., den Boogert H., Bouzat P., Bragge P., Brazinova A., Brinck V., Brooker J., Brorsson C., Buki A., Bullinger M., Calappi E., Calvi M. R., Cameron P., Carbayo L. G., Carbonara M., Carise E., Carpenter K., Castano-Leon A. M., Causin F., Chevallard G., Chieregato A., Citerio G., Cnossen M., Coburn M., Coles J., Coles-Kemp L., Collett J., Cooper J. D., Correia M., Covic A., Curry N., Czeiter E., Czosnyka M., Dahyot-Fizelier C., Damas F., Damas P., Dawes H., De Keyser V., Della C. F., Depreitere B., Dilvesi D., Ding S., Dippel D., Dixit A., Donoghue E., Dreier J., Duliere G. -L., Eapen G., Engemann H., Ercole A., Esser P., Ezer E., Fabricius M., Feigin V. L., Feng J., Foks K., Fossi F., Francony G., Freo U., Frisvold S., Furmanov A., Gagliardo P., Galanaud D., Gantner D., Gao G., Geleijns K., George P., Ghuysen A., Giga L., Giraud B., Glocker B., Golubovic J., Gomez P. A., Grossi F., Gruen R. L., Gupta D., Haagsma J. A., Hartings J. A., Helbok R., Helseth E., Hertle D., Hoedemaekers A., Hoefer S., Horton L., Huijben J., Hutchinson P. J., Haberg A. K., Jacobs B., Jankowski S., Jarrett M., Jelaca B., Jiang J. -Y., Jones K., Kamnitsas K., Karan M., Katila A., Kaukonen M., Kerforne T., Kivisaari R., Kolias A. G., Kolumban B., Kompanje E., Kolundzija K., Kondziella D., Koskinen L. -O., Kovacs N., Lagares A., Lanyon L., Laureys S., Lecky F., Ledig C., Lefering R., Legrand V., Lei J., Levi L., Lightfoot R., Lingsma H., Loeckx D., Lozano A., MacDonald S., Maegele M., Majdan M., Major S., Manara A., Manley G., Martin D., Martin L. F., Martino C., Maruenda A., Marechal H., Masala A., Mattern J., McFadyen C., McMahon C., Melegh B., Menovsky T., Morganti-Kossmann C., Mulazzi D., Muraleedharan V., Murray L., Muhlan H., Nair N., Negru A., Nelson D., Newcombe V., Nieboer D., Noirhomme Q., Nyiradi J., Oddo M., Oldenbeuving A., Oresic M., Ortolano F., Palotie A., Parizel P. M., Patruno A., Payen J. -F., Perera N., Perlbarg V., Persona P., Peul W., Piippo-Karjalainen A., Pili F. S., Pirinen M., Ples H., Poca M. A., Pomposo I., Posti J., Puybasset L., Radoi A., Ragauskas A., Raj R., Rambadagalla M., Real R., Rehorcikova V., Rhodes J., Ripatti S., Rocka S., Roe C., Roise O., Roks G., Rosand J., Rosenfeld J., Rosenlund C., Rosenthal G., Rossaint R., Rossi S., Rueckert D., Rusnak M., Sacchi M., Sahakian B., Sahuquillo J., Sakowitz O., Sala F., Sanchez-Porras R., Sandor J., Santos E., Sasu L., Savo D., Schaffer N., Schipper I., Schlosser B., Schmidt S., Schoechl H., Schoonman G., Schou R. F., Schwendenwein E., Scholl M., Sir O., Skandsen T., Smakman L., Smeets D., Smielewski P., Sorinola A., Stamatakis E., Stanworth S., Steinbuchel N., Stevanovic A., Stevens R., Stewart W., Stocchetti N., Sundstrom N., Synnot A., Taccone F. S., Takala R., Tamas V., Tanskanen P., Taylor M. S., Te Ao B., Tenovuo O., Telgmann R., Teodorani G., Theadom A., Thomas M., Tibboel D., Tolias C., Tshibanda J. -F. L., Trapani T., Tudora C. M., Vajkoczy P., Vallance S., Valeinis E., Van der Steen G., van der Jagt M., van der Naalt J., van Dijck J. T. J. M., Van Hecke W., van Heugten C., Van Praag D., Vande Vyvere T., Van Waesberghe J., Vanhaudenhuyse A., Vargiolu A., Vega E., Velt K., Verheyden J., Vespa P. M., Vik A., Vilcinis R., Vizzino G., Vleggeert-Lankamp C., Volovici V., Voormolen D., Vulekovic P., Vamos Z., Wade D., Wang K. K. W., Wang L., Wessels L., Wildschut E., Williams G., Wilson L., Winkler M. K. L., Wolf S., Ylen P., Younsi A., Zaaroor M., Zhihui Y., Ziverte A., Zumbo F., van Essen T. A., van Essen, T, den Boogert, H, Cnossen, M, de Ruiter, G, Haitsma, I, Polinder, S, Steyerberg, E, Menon, D, Maas, A, Lingsma, H, Peul, W, Ackerlund, C, Adams, H, Agnoletti, V, Allanson, J, Amrein, K, Andaluz, N, Andelic, N, Andreassen, L, Antun, A, Anke, A, Antoni, A, Ardon, H, Audibert, G, Auslands, K, Azouvi, P, Azzolini, M, Baciu, C, Badenes, R, Bartels, R, Larizza, D, Barzo, P, Bauerfeind, U, Beauvais, R, Beer, R, Belda, F, Bellander, B, Belli, A, Bellier, R, Benali, H, Benard, T, Berardino, M, Beretta, L, Beynon, C, Bilotta, F, Binder, H, Biqiri, E, Blaabjerg, M, Bouzat, P, Bragge, P, Brazinova, A, Brinck, V, Brooker, J, Brorsson, C, Buki, A, Bullinger, M, Calappi, E, Calvi, M, Cameron, P, Carbayo, L, Carbonara, M, Carise, E, Carpenter, K, Castano-Leon, A, Causin, F, Chevallard, G, Chieregato, A, Citerio, G, Coburn, M, Coles, J, Coles-Kemp, L, Collett, J, Cooper, J, Correia, M, Covic, A, Curry, N, Czeiter, E, Czosnyka, M, Dahyot-Fizelier, C, Damas, F, Damas, P, Dawes, H, De Keyser, V, Della, C, Depreitere, B, Dilvesi, D, Ding, S, Dippel, D, Dixit, A, Donoghue, E, Dreier, J, Duliere, G, Eapen, G, Engemann, H, Ercole, A, Esser, P, Ezer, E, Fabricius, M, Feigin, V, Feng, J, Foks, K, Fossi, F, Francony, G, Freo, U, Frisvold, S, Furmanov, A, Gagliardo, P, Galanaud, D, Gantner, D, Gao, G, Geleijns, K, George, P, Ghuysen, A, Giga, L, Giraud, B, Glocker, B, Golubovic, J, Gomez, P, Grossi, F, Gruen, R, Gupta, D, Haagsma, J, Hartings, J, Helbok, R, Helseth, E, Hertle, D, Hoedemaekers, A, Hoefer, S, Horton, L, Huijben, J, Hutchinson, P, Haberg, A, Jacobs, B, Jankowski, S, Jarrett, M, Jelaca, B, Jiang, J, Jones, K, Kamnitsas, K, Karan, M, Katila, A, Kaukonen, M, Kerforne, T, Kivisaari, R, Kolias, A, Kolumban, B, Kompanje, E, Kolundzija, K, Kondziella, D, Koskinen, L, Kovacs, N, Lagares, A, Lanyon, L, Laureys, S, Lecky, F, Ledig, C, Lefering, R, Legrand, V, Lei, J, Levi, L, Lightfoot, R, Loeckx, D, Lozano, A, Macdonald, S, Maegele, M, Majdan, M, Major, S, Manara, A, Manley, G, Martin, D, Martin, L, Martino, C, Maruenda, A, Marechal, H, Masala, A, Mattern, J, Mcfadyen, C, Mcmahon, C, Melegh, B, Menovsky, T, Morganti-Kossmann, C, Mulazzi, D, Muraleedharan, V, Murray, L, Muhlan, H, Nair, N, Negru, A, Nelson, D, Newcombe, V, Nieboer, D, Noirhomme, Q, Nyiradi, J, Oddo, M, Oldenbeuving, A, Oresic, M, Ortolano, F, Palotie, A, Parizel, P, Patruno, A, Payen, J, Perera, N, Perlbarg, V, Persona, P, Piippo-Karjalainen, A, Pili, F, Pirinen, M, Ples, H, Poca, M, Pomposo, I, Posti, J, Puybasset, L, Radoi, A, Ragauskas, A, Raj, R, Rambadagalla, M, Real, R, Rehorcikova, V, Rhodes, J, Ripatti, S, Rocka, S, Roe, C, Roise, O, Roks, G, Rosand, J, Rosenfeld, J, Rosenlund, C, Rosenthal, G, Rossaint, R, Rossi, S, Rueckert, D, Rusnak, M, Sacchi, M, Sahakian, B, Sahuquillo, J, Sakowitz, O, Sala, F, Sanchez-Porras, R, Sandor, J, Santos, E, Sasu, L, Savo, D, Schaffer, N, Schipper, I, Schlosser, B, Schmidt, S, Schoechl, H, Schoonman, G, Schou, R, Schwendenwein, E, Scholl, M, Sir, O, Skandsen, T, Smakman, L, Smeets, D, Smielewski, P, Sorinola, A, Stamatakis, E, Stanworth, S, Steinbuchel, N, Stevanovic, A, Stevens, R, Stewart, W, Stocchetti, N, Sundstrom, N, Synnot, A, Taccone, F, Takala, R, Tamas, V, Tanskanen, P, Taylor, M, Te Ao, B, Tenovuo, O, Telgmann, R, Teodorani, G, Theadom, A, Thomas, M, Tibboel, D, Tolias, C, Tshibanda, J, Trapani, T, Tudora, C, Vajkoczy, P, Vallance, S, Valeinis, E, Van der Steen, G, van der Jagt, M, van der Naalt, J, van Dijck, J, Van Hecke, W, van Heugten, C, Van Praag, D, Vande Vyvere, T, Van Waesberghe, J, Vanhaudenhuyse, A, Vargiolu, A, Vega, E, Velt, K, Verheyden, J, Vespa, P, Vik, A, Vilcinis, R, Vizzino, G, Vleggeert-Lankamp, C, Volovici, V, Voormolen, D, Vulekovic, P, Vamos, Z, Wade, D, Wang, K, Wang, L, Wessels, L, Wildschut, E, Williams, G, Wilson, L, Winkler, M, Wolf, S, Ylen, P, Younsi, A, Zaaroor, M, Zhihui, Y, Ziverte, A, Zumbo, F, van Essen T. A., den Boogert H. F., Cnossen M. C., de Ruiter G. C. W., Haitsma I., Polinder S., Steyerberg E. W., Menon D., Maas A. I. R., Lingsma H. F., Peul W. C., Ackerlund C., Adams H., Agnoletti V., Allanson J., Amrein K., Andaluz N., Andelic N., Andreassen L., Antun A., Anke A., Antoni A., Ardon H., Audibert G., Auslands K., Azouvi P., Azzolini M. L., Baciu C., Badenes R., Bartels R., Larizza D., Barzo P., Bauerfeind U., Beauvais R., Beer R., Belda F. J., Bellander B. -M., Belli A., Bellier R., Benali H., Benard T., Berardino M., Beretta L., Beynon C., Bilotta F., Binder H., Biqiri E., Blaabjerg M., den Boogert H., Bouzat P., Bragge P., Brazinova A., Brinck V., Brooker J., Brorsson C., Buki A., Bullinger M., Calappi E., Calvi M. R., Cameron P., Carbayo L. G., Carbonara M., Carise E., Carpenter K., Castano-Leon A. M., Causin F., Chevallard G., Chieregato A., Citerio G., Cnossen M., Coburn M., Coles J., Coles-Kemp L., Collett J., Cooper J. D., Correia M., Covic A., Curry N., Czeiter E., Czosnyka M., Dahyot-Fizelier C., Damas F., Damas P., Dawes H., De Keyser V., Della C. F., Depreitere B., Dilvesi D., Ding S., Dippel D., Dixit A., Donoghue E., Dreier J., Duliere G. -L., Eapen G., Engemann H., Ercole A., Esser P., Ezer E., Fabricius M., Feigin V. L., Feng J., Foks K., Fossi F., Francony G., Freo U., Frisvold S., Furmanov A., Gagliardo P., Galanaud D., Gantner D., Gao G., Geleijns K., George P., Ghuysen A., Giga L., Giraud B., Glocker B., Golubovic J., Gomez P. A., Grossi F., Gruen R. L., Gupta D., Haagsma J. A., Hartings J. A., Helbok R., Helseth E., Hertle D., Hoedemaekers A., Hoefer S., Horton L., Huijben J., Hutchinson P. J., Haberg A. K., Jacobs B., Jankowski S., Jarrett M., Jelaca B., Jiang J. -Y., Jones K., Kamnitsas K., Karan M., Katila A., Kaukonen M., Kerforne T., Kivisaari R., Kolias A. G., Kolumban B., Kompanje E., Kolundzija K., Kondziella D., Koskinen L. -O., Kovacs N., Lagares A., Lanyon L., Laureys S., Lecky F., Ledig C., Lefering R., Legrand V., Lei J., Levi L., Lightfoot R., Lingsma H., Loeckx D., Lozano A., MacDonald S., Maegele M., Majdan M., Major S., Manara A., Manley G., Martin D., Martin L. F., Martino C., Maruenda A., Marechal H., Masala A., Mattern J., McFadyen C., McMahon C., Melegh B., Menovsky T., Morganti-Kossmann C., Mulazzi D., Muraleedharan V., Murray L., Muhlan H., Nair N., Negru A., Nelson D., Newcombe V., Nieboer D., Noirhomme Q., Nyiradi J., Oddo M., Oldenbeuving A., Oresic M., Ortolano F., Palotie A., Parizel P. M., Patruno A., Payen J. -F., Perera N., Perlbarg V., Persona P., Peul W., Piippo-Karjalainen A., Pili F. S., Pirinen M., Ples H., Poca M. A., Pomposo I., Posti J., Puybasset L., Radoi A., Ragauskas A., Raj R., Rambadagalla M., Real R., Rehorcikova V., Rhodes J., Ripatti S., Rocka S., Roe C., Roise O., Roks G., Rosand J., Rosenfeld J., Rosenlund C., Rosenthal G., Rossaint R., Rossi S., Rueckert D., Rusnak M., Sacchi M., Sahakian B., Sahuquillo J., Sakowitz O., Sala F., Sanchez-Porras R., Sandor J., Santos E., Sasu L., Savo D., Schaffer N., Schipper I., Schlosser B., Schmidt S., Schoechl H., Schoonman G., Schou R. F., Schwendenwein E., Scholl M., Sir O., Skandsen T., Smakman L., Smeets D., Smielewski P., Sorinola A., Stamatakis E., Stanworth S., Steinbuchel N., Stevanovic A., Stevens R., Stewart W., Stocchetti N., Sundstrom N., Synnot A., Taccone F. S., Takala R., Tamas V., Tanskanen P., Taylor M. S., Te Ao B., Tenovuo O., Telgmann R., Teodorani G., Theadom A., Thomas M., Tibboel D., Tolias C., Tshibanda J. -F. L., Trapani T., Tudora C. M., Vajkoczy P., Vallance S., Valeinis E., Van der Steen G., van der Jagt M., van der Naalt J., van Dijck J. T. J. M., Van Hecke W., van Heugten C., Van Praag D., Vande Vyvere T., Van Waesberghe J., Vanhaudenhuyse A., Vargiolu A., Vega E., Velt K., Verheyden J., Vespa P. M., Vik A., Vilcinis R., Vizzino G., Vleggeert-Lankamp C., Volovici V., Voormolen D., Vulekovic P., Vamos Z., Wade D., Wang K. K. W., Wang L., Wessels L., Wildschut E., Williams G., Wilson L., Winkler M. K. L., Wolf S., Ylen P., Younsi A., Zaaroor M., Zhihui Y., Ziverte A., and Zumbo F.

Abstract

The names of themembers of the IOPSMS study Group was inverted in the original paper and is now corrected in this article.

Published
2019

11. Differences Between MR Brain Region Segmentation Methods:Impact on Single-Subject Analysis

Author

Huizinga, W., Poot, D. H.J., Vinke, E. J., Wenzel, F., Bron, E. E., Toussaint, N., Ledig, C., Vrooman, H., Ikram, M. A., Niessen, W. J., Vernooij, M. W., Klein, S., Huizinga, W., Poot, D. H.J., Vinke, E. J., Wenzel, F., Bron, E. E., Toussaint, N., Ledig, C., Vrooman, H., Ikram, M. A., Niessen, W. J., Vernooij, M. W., and Klein, S.

Abstract

For the segmentation of magnetic resonance brain images into anatomical regions, numerous fully automated methods have been proposed and compared to reference segmentations obtained manually. However, systematic differences might exist between the resulting segmentations, depending on the segmentation method and underlying brain atlas. This potentially results in sensitivity differences to disease and can further complicate the comparison of individual patients to normative data. In this study, we aim to answer two research questions: 1) to what extent are methods interchangeable, as long as the same method is being used for computing normative volume distributions and patient-specific volumes? and 2) can different methods be used for computing normative volume distributions and assessing patient-specific volumes? To answer these questions, we compared volumes of six brain regions calculated by five state-of-the-art segmentation methods: Erasmus MC (EMC), FreeSurfer (FS), geodesic information flows (GIF), multi-atlas label propagation with expectation–maximization (MALP-EM), and model-based brain segmentation (MBS). We applied the methods on 988 non-demented (ND) subjects and computed the correlation (PCC-v) and absolute agreement (ICC-v) on the volumes. For most regions, the PCC-v was good ((Formula presented.)), indicating that volume differences between methods in ND subjects are mainly due to systematic differences. The ICC-v was generally lower, especially for the smaller regions, indicating that it is essential that the same method is used to generate normative and patient data. To evaluate the impact on single-subject analysis, we also applied the methods to 42 patients with Alzheimer’s disease (AD). In the case where the normative distributions and the patient-specific volumes were calculated by the same method, the patient’s distance to the normative distribution was assessed with the z-score. We determined the diagnostic value of this z-score, which sho

Published
2021

12. Traumatic brain injury: integrated approaches to improve prevention, clinical care, and research

Author

Maas, A, Menon, D, Adelson, P, Andelic, N, Bell, M, Belli, A, Bragge, P, Brazinova, A, Büki, A, Chesnut, R, CITERIO, GIUSEPPE, Coburn, M, Cooper, D, Crowder, A, Czeiter, E, Czosnyka, M, Diaz arrastia, R, Dreier, J, Duhaime, A, Ercole, A, Van Essen, T, Feigin, V, Gao, G, Giacino, J, Gonzalez lara, L, Gruen, R, Gupta, D, Hartings, J, Hill, S, Jiang, J, Ketharanathan, N, Kompanje, E, Lanyon, L, Laureys, S, Lecky, F, Levin, H, Lingsma, H, Maegele, M, Majdan, M, Manley, G, Marsteller, J, Mascia, L, Mcfadyen, C, Mondello, S, Newcombe, V, Palotie, A, Parizel, P, Peul, W, Piercy, J, Polinder, S, Puybasset, L, Rasmussen, T, Rossaint, R, Smielewski, P, Söderberg, J, Stanworth, S, Stein, M, Von Steinbüchel, N, Stewart, W, Steyerberg, E, Stocchetti, N, Synnot, A, Te Ao, B, Tenovuo, O, Theadom, A, Tibboel, D, Videtta, W, Wang, K, Williams, W, Wilson, L, Yaffe, K, Adams, H, Agnoletti, V, Allanson, J, Amrein, K, Andaluz, N, Anke, A, Antoni, A, Van As, A, Audibert, G, Azaševac, A, Azouvi, P, Azzolini, M, Baciu, C, Badenes, R, Barlow, K, Bartels, R, Bauerfeind, U, Beauchamp, M, Beer, D, Beer, R, Belda, F, Bellander, B, Bellier, R, Benali, H, Benard, T, Beqiri, V, Beretta, L, Bernard, F, Bertolini, G, Bilotta, F, Blaabjerg, M, Den Boogert, H, Boutis, K, Bouzat, P, Brooks, B, Brorsson, C, Bullinger, M, Burns, E, Calappi, E, Cameron, P, Carise, E, Castaño león, A, Causin, F, Chevallard, G, Chieregato, A, Christie, B, Cnossen, M, Coles, J, Collett, J, Della Corte, F, Craig, W, Csato, G, Csomos, A, Curry, N, Dahyot fizelier, C, Dawes, H, Dematteo, C, Depreitere, B, Dewey, D, Van Dijck, J, Đilvesi, Đ, Dippel, D, Dizdarevic, K, Donoghue, E, Duek, O, Dulière, G, Dzeko, A, Eapen, G, Emery, C, English, S, Esser, P, Ezer, E, Fabricius, M, Feng, J, Fergusson, D, Figaji, A, Fleming, J, Foks, K, Francony, G, Freedman, S, Freo, U, Frisvold, S, Gagnon, I, Galanaud, D, Gantner, D, Giraud, B, Glocker, B, Golubovic, J, Gómez López, P, Gordon, W, Gradisek, P, Gravel, J, Griesdale, D, Grossi, F, Haagsma, J, Håberg, A, Haitsma, I, Van Hecke, W, Helbok, R, Helseth, E, Van Heugten, C, Hoedemaekers, C, Höfer, S, Horton, L, Hui, J, Huijben, J, Hutchinson, P, Jacobs, B, Van Der Jagt, M, Jankowski, S, Janssens, K, Jelaca, B, Jones, K, Kamnitsas, K, Kaps, R, Karan, M, Katila, A, Kaukonen, K, De Keyser, V, Kivisaari, R, Kolias, A, Kolumbán, B, Kolundžija, K, Kondziella, D, Koskinen, L, Kovács, N, Kramer, A, Kutsogiannis, D, Kyprianou, T, Lagares, A, Lamontagne, F, Latini, R, Lauzier, F, Lazar, I, Ledig, C, Lefering, R, Legrand, V, Levi, L, Lightfoot, R, Lozano, A, Macdonald, S, Major, S, Manara, A, Manhes, P, Maréchal, H, Martino, C, Masala, A, Masson, S, Mattern, J, Mcfadyen, B, Mcmahon, C, Meade, M, Melegh, B, Menovsky, T, Moore, L, Morgado Correia, M, Morganti kossmann, M, Muehlan, H, Mukherjee, P, Murray, L, Van Der Naalt, J, Negru, A, Nelson, D, Nieboer, D, Noirhomme, Q, Nyirádi, J, Oddo, M, Okonkwo, D, Oldenbeuving, A, Ortolano, F, Osmond, M, Payen, J, Perlbarg, V, Persona, P, Pichon, N, Piippo karjalainen, A, Pili floury, S, Pirinen, M, Ple, H, Poca, M, Posti, J, Van Praag, D, Ptito, A, Radoi, A, Ragauskas, A, Raj, R, Real, R, Reed, N, Rhodes, J, Robertson, C, Rocka, S, Røe, C, Røise, O, Roks, G, Rosand, J, Rosenfeld, J, Rosenlund, C, Rosenthal, G, Rossi, S, Rueckert, D, De Ruiter, G, Sacchi, M, Sahakian, B, Sahuquillo, J, Sakowitz, O, Salvato, G, Sánchez porras, R, Sándor, J, Sangha, G, Schäfer, N, Schmidt, S, Schneider, K, Schnyer, D, Schöhl, H, Schoonman, G, Schou, R, Sir, Ö, Skandsen, T, Smeets, D, Sorinola, A, Stamatakis, E, Stevanovic, A, Stevens, R, Sundström, N, Taccone, F, Takala, R, Tanskanen, P, Taylor, M, Telgmann, R, Temkin, N, Teodorani, G, Thomas, M, Tolias, C, Trapani, T, Turgeon, A, Vajkoczy, P, Valadka, A, Valeinis, E, Vallance, S, Vámos, Z, VARGIOLU, ALESSIA, Vega, E, Verheyden, J, Vik, A, Vilcinis, R, Vleggeert lankamp, C, Vogt, L, Volovici, V, Voormolen, D, Vulekovic, P, Vande Vyvere, T, Van Waesberghe, J, Wessels, L, Wildschut, E, Williams, G, Winkler, M, Wolf, S, Wood, G, Xirouchaki, N, Younsi, A, Zaaroor, M, Zelinkova, V, Zemek, R, Zumbo, F, Citerio, G, Vargiolu, A, Zumbo, F., Maas, Andrew I R, Menon, David K, Adelson, P David, Andelic, Nada, Bell, Michael J, Belli, Antonio, Bragge, Peter, Brazinova, Alexandra, Büki, Andrá, Chesnut, Randall M, Citerio, Giuseppe, Coburn, Mark, Cooper, D Jamie, Crowder, A Tamara, Czeiter, Endre, Czosnyka, Marek, Diaz-Arrastia, Ramon, Dreier, Jens P, Duhaime, Ann-Christine, Ercole, Ari, van Essen, Thomas A, Feigin, Valery L, Gao, Guoyi, Giacino, Joseph, Gonzalez-Lara, Laura E, Gruen, Russell L, Gupta, Deepak, Hartings, Jed A, Hill, Sean, Jiang, Ji-yao, Ketharanathan, Naomi, Kompanje, Erwin J O, Lanyon, Linda, Laureys, Steven, Lecky, Fiona, Levin, Harvey, Lingsma, Hester F, Maegele, Marc, Majdan, Marek, Manley, Geoffrey, Marsteller, Jill, Mascia, Luciana, Mcfadyen, Charle, Mondello, Stefania, Newcombe, Virginia, Palotie, Aarno, Parizel, Paul M, Peul, Wilco, Piercy, Jame, Polinder, Suzanne, Puybasset, Loui, Rasmussen, Todd E, Rossaint, Rolf, Smielewski, Peter, Söderberg, Jeannette, Stanworth, Simon J, Stein, Murray B, von Steinbüchel, Nicole, Stewart, William, Steyerberg, Ewout W, Stocchetti, Nino, Synnot, Anneliese, Te Ao, Braden, Tenovuo, Olli, Theadom, Alice, Tibboel, Dick, Videtta, Walter, Wang, Kevin K W, Williams, W Huw, Wilson, Lindsay, Yaffe, Kristine, InTBIR Participants, Investigator, Beretta, Luigi, InTBIR Participants Investigators, Menon, David [0000-0002-3228-9692], Czosnyka, Marek [0000-0003-2446-8006], Ercole, Ari [0000-0001-8350-8093], Newcombe, Virginia [0000-0001-6044-9035], Smielewski, Peter [0000-0001-5096-3938], Apollo - University of Cambridge Repository, Maas A.I.R., Menon D.K., David Adelson P.D., Andelic N., Bell M.J., Belli A., Bragge P., Brazinova A., Buki A., Chesnut R.M., Citerio G., Coburn M., Jamie Cooper D., Tamara Crowder A., Czeiter E., Czosnyka M., Diaz-Arrastia R., Dreier J.P., Duhaime A.-C., Ercole A., van Essen T.A., Feigin V.L., Gao G., Giacino J., Gonzalez-Lara L.E., Gruen R.L., Gupta D., Hartings J.A., Hill S., Jiang J.-Y., Ketharanathan N., Kompanje E.J.O., Lanyon L., Laureys S., Lecky F., Levin H., Lingsma H.F., Maegele M., Majdan M., Manley G., Marsteller J., Mascia L., McFadyen C., Mondello S., Newcombe V., Palotie A., Parizel P.M., Peul W., Piercy J., Polinder S., Puybasset L., Rasmussen T.E., Rossaint R., Smielewski P., Soderberg J., Stanworth S.J., Stein M.B., von Steinbuchel N., Stewart W., Steyerberg E.W., Stocchetti N., Synnot A., Te Ao B., Tenovuo O., Theadom A., Tibboel D., Videtta W., Wang K.K.W., Huw Williams W., Wilson L., Yaffe K., Adams H., Allanson J., Coles J., Hutchinson P.J., Kolias A.G., Sahakian B.J., Stamatakis E., Williams G., Agnoletti V., Martino C., Masala A., Teodorani G., Zumbo F., Amrein K., Ezer E., Kolumban B., Kovacs N., Melegh B., Nyiradi J., Sorinola A., Vamos Z., Andaluz N., Anke A., Frisvold S.K., Antoni A., van As A.B., Figaji A., Audibert G., Azasevac A., Dilvesi D., Golubovic J., Jelaca B., Karan M., Kolundzija K., Negru A., Vulekovic P., Azouvi P., Azzolini M.L., Beretta L., Baciu C., Beqiri V., Chevallard G., Chieregato A., Sacchi M., Badenes R., Belda F.J., Bilotta F., Lozano A., Barlow K.M., Schneider K.J., Bartels R., den Boogert H., Hoedemaekers C., Sir O., Bauerfeind U., Lefering R., Schafer N., Beauchamp M., Gravel J., Beer D., Beer R., Helbok R., Hofer S., Bellander B.-M., Nelson D., Bellier R., Benard T., Carise E., Dahyot-Fizelier C., Giraud B., Benali H., Bernard F., Bertolini G., Masson S., Blaabjerg M., Rosenlund C., Schou R.F., Boutis K., Bouzat P., Francony G., Manhes P., Payen J.-F., Brooks B., Dewey D., Emery C.A., Freedman S., Kramer A., Brorsson C., Koskinen L.-O., Sundstrom N., Bullinger M., Burns E., Calappi E., Ortolano F., Cameron P., Castano-Leon A.M., Gomez Lopez P.A., Lagares A., Causin F., Freo U., Persona P., Rossi S., Christie B., Cnossen M., Dippel D., Foks K., Haagsma J.A., Haitsma I., Huijben J.A., van der Jagt M., Nieboer D., Volovici V., Voormolen D.C., Collett J., Dawes H., Esser P., van Heugten C., Della Corte F., Grossi F., Craig W., Csato G., Csomos A., Curry N., Dematteo C., Meade M., Depreitere B., van Dijck J., de Ruiter G.C.W., Vleggeert-Lankamp C., Dizdarevic K., Donoghue E., Gantner D., Murray L., Trapani T., Vallance S., Duek O., Lazar I., Duliere G.-L., Marechal H., Dzeko A., Eapen G., Jankowski S., English S., Fergusson D., Osmond M., Fabricius M., Kondziella D., Feng J., Hui J., Fleming J., Latini R., Gagnon I., Ptito A., Galanaud D., Glocker B., Kamnitsas K., Ledig C., Rueckert D., Gordon W.A., Gradisek P., Griesdale D., Haberg A.K., van Hecke W., Smeets D., Verheyden J., Vyvere T.V., Helseth E., Roe C., Roise O., Horton L., Jacobs B., van der Naalt J., Janssens K., De Keyser V., Menovsky T., Van Praag D., Jones K.M., Kaps R., Katila A., Posti J., Takala R., Kaukonen K.-M., Kivisaari R., Piippo-Karjalainen A., Raj R., Tanskanen P., Kutsogiannis D., Kyprianou T., Lamontagne F., Lauzier F., Moore L., Turgeon A., Legrand V., Levi L., Zaaroor M., Lightfoot R., Macdonald S., Major S., Vajkoczy P., Wessels L., Winkler M.K.L., Wolf S., Manara A., Thomas M., Mattern J., Sakowitz O., Vogt L., Younsi A., McFadyen B., McMahon C., Correia M.M., Morganti-Kossmann M.C., Rosenfeld J.V., Muehlan H., Schmidt S., Mukherjee P., Noirhomme Q., Oddo M., Okonkwo D.O., Oldenbeuving A.W., Roks G., Schoonman G.G., Perlbarg V., Pichon N., Pili-Floury S., Pirinen M., Ples H., Poca M.A., Radoi A., Sahuquillo J., Ragauskas A., Rocka S., Real R.G.L., Telgmann R., Reed N., Rhodes J., Robertson C., Rosand J., Rosenthal G., Salvato G., Sanchez-Porras R., Sandor J., Sangha G., Schnyer D., Schohl H., Skandsen T., Stevanovic A., van Waesberghe J.V., Stevens R.D., Taccone F.S., Taylor M.S., Zelinkova V., Temkin N., Tolias C.M., Valadka A.B., Valeinis E., Vargiolu A., Vega E., Vik A., Vilcinis R., Wildschut E., Wood G., Xirouchaki N., Zemek R., Maas, A, Menon, D, Adelson, P, Andelic, N, Bell, M, Belli, A, Bragge, P, Brazinova, A, Büki, A, Chesnut, R, Citerio, G, Coburn, M, Cooper, D, Crowder, A, Czeiter, E, Czosnyka, M, Diaz arrastia, R, Dreier, J, Duhaime, A, Ercole, A, Van Essen, T, Feigin, V, Gao, G, Giacino, J, Gonzalez lara, L, Gruen, R, Gupta, D, Hartings, J, Hill, S, Jiang, J, Ketharanathan, N, Kompanje, E, Lanyon, L, Laureys, S, Lecky, F, Levin, H, Lingsma, H, Maegele, M, Majdan, M, Manley, G, Marsteller, J, Mascia, L, Mcfadyen, C, Mondello, S, Newcombe, V, Palotie, A, Parizel, P, Peul, W, Piercy, J, Polinder, S, Puybasset, L, Rasmussen, T, Rossaint, R, Smielewski, P, Söderberg, J, Stanworth, S, Stein, M, Von Steinbüchel, N, Stewart, W, Steyerberg, E, Stocchetti, N, Synnot, A, Te Ao, B, Tenovuo, O, Theadom, A, Tibboel, D, Videtta, W, Wang, K, Williams, W, Wilson, L, Yaffe, K, Adams, H, Agnoletti, V, Allanson, J, Amrein, K, Andaluz, N, Anke, A, Antoni, A, Van As, A, Audibert, G, Azaševac, A, Azouvi, P, Azzolini, M, Baciu, C, Badenes, R, Barlow, K, Bartels, R, Bauerfeind, U, Beauchamp, M, Beer, D, Beer, R, Belda, F, Bellander, B, Bellier, R, Benali, H, Benard, T, Beqiri, V, Beretta, L, Bernard, F, Bertolini, G, Bilotta, F, Blaabjerg, M, Den Boogert, H, Boutis, K, Bouzat, P, Brooks, B, Brorsson, C, Bullinger, M, Burns, E, Calappi, E, Cameron, P, Carise, E, Castaño león, A, Causin, F, Chevallard, G, Chieregato, A, Christie, B, Cnossen, M, Coles, J, Collett, J, Della Corte, F, Craig, W, Csato, G, Csomos, A, Curry, N, Dahyot fizelier, C, Dawes, H, Dematteo, C, Depreitere, B, Dewey, D, Van Dijck, J, Đilvesi, Đ, Dippel, D, Dizdarevic, K, Donoghue, E, Duek, O, Dulière, G, Dzeko, A, Eapen, G, Emery, C, English, S, Esser, P, Ezer, E, Fabricius, M, Feng, J, Fergusson, D, Figaji, A, Fleming, J, Foks, K, Francony, G, Freedman, S, Freo, U, Frisvold, S, Gagnon, I, Galanaud, D, Gantner, D, Giraud, B, Glocker, B, Golubovic, J, Gómez López, P, Gordon, W, Gradisek, P, Gravel, J, Griesdale, D, Grossi, F, Haagsma, J, Håberg, A, Haitsma, I, Van Hecke, W, Helbok, R, Helseth, E, Van Heugten, C, Hoedemaekers, C, Höfer, S, Horton, L, Hui, J, Huijben, J, Hutchinson, P, Jacobs, B, Van Der Jagt, M, Jankowski, S, Janssens, K, Jelaca, B, Jones, K, Kamnitsas, K, Kaps, R, Karan, M, Katila, A, Kaukonen, K, De Keyser, V, Kivisaari, R, Kolias, A, Kolumbán, B, Kolundžija, K, Kondziella, D, Koskinen, L, Kovács, N, Kramer, A, Kutsogiannis, D, Kyprianou, T, Lagares, A, Lamontagne, F, Latini, R, Lauzier, F, Lazar, I, Ledig, C, Lefering, R, Legrand, V, Levi, L, Lightfoot, R, Lozano, A, Macdonald, S, Major, S, Manara, A, Manhes, P, Maréchal, H, Martino, C, Masala, A, Masson, S, Mattern, J, Mcfadyen, B, Mcmahon, C, Meade, M, Melegh, B, Menovsky, T, Moore, L, Morgado Correia, M, Morganti kossmann, M, Muehlan, H, Mukherjee, P, Murray, L, Van Der Naalt, J, Negru, A, Nelson, D, Nieboer, D, Noirhomme, Q, Nyirádi, J, Oddo, M, Okonkwo, D, Oldenbeuving, A, Ortolano, F, Osmond, M, Payen, J, Perlbarg, V, Persona, P, Pichon, N, Piippo karjalainen, A, Pili floury, S, Pirinen, M, Ple, H, Poca, M, Posti, J, Van Praag, D, Ptito, A, Radoi, A, Ragauskas, A, Raj, R, Real, R, Reed, N, Rhodes, J, Robertson, C, Rocka, S, Røe, C, Røise, O, Roks, G, Rosand, J, Rosenfeld, J, Rosenlund, C, Rosenthal, G, Rossi, S, Rueckert, D, De Ruiter, G, Sacchi, M, Sahakian, B, Sahuquillo, J, Sakowitz, O, Salvato, G, Sánchez porras, R, Sándor, J, Sangha, G, Schäfer, N, Schmidt, S, Schneider, K, Schnyer, D, Schöhl, H, Schoonman, G, Schou, R, Sir, Ö, Skandsen, T, Smeets, D, Sorinola, A, Stamatakis, E, Stevanovic, A, Stevens, R, Sundström, N, Taccone, F, Takala, R, Tanskanen, P, Taylor, M, Telgmann, R, Temkin, N, Teodorani, G, Thomas, M, Tolias, C, Trapani, T, Turgeon, A, Vajkoczy, P, Valadka, A, Valeinis, E, Vallance, S, Vámos, Z, Vargiolu, A, Vega, E, Verheyden, J, Vik, A, Vilcinis, R, Vleggeert lankamp, C, Vogt, L, Volovici, V, Voormolen, D, Vulekovic, P, Vande Vyvere, T, Van Waesberghe, J, Wessels, L, Wildschut, E, Williams, G, Winkler, M, Wolf, S, Wood, G, Xirouchaki, N, Younsi, A, Zaaroor, M, Zelinkova, V, Zemek, R, Zumbo, F, Pediatric Surgery, Intensive Care, and Public Health

Subjects
medicine.medical_specialty, EVIDENCE-BASED MEDICINE, Treatment outcome, Poison control, Other Research Radboud Institute for Molecular Life Sciences [Radboudumc 0], EMERGENCY-DEPARTMENT VISITS, Review, PLACEBO-CONTROLLED TRIAL, Middle income country, Healthcare improvement science Radboud Institute for Health Sciences [Radboudumc 18], 03 medical and health sciences, 0302 clinical medicine, Intensive care, Brain Injuries, Traumatic, Journal Article, medicine, traumatic barin injury, Humans, 030212 general & internal medicine, Clinical care, Neurologic disease, Psychiatry, DIAGNOSTIC MANAGEMENT STRATEGIES, business.industry, RANDOMIZED CONTROLLED-TRIAL, ACUTE SUBDURAL-HEMATOMA, SEVERE HEAD-INJURY, ROAD TRAFFIC INJURIES, brain injury, Hospital care, 3. Good health, Reconstructive and regenerative medicine Radboud Institute for Health Sciences [Radboudumc 10], Brain Injuries, Health care cost, PATIENT-REPORTED OUTCOMES, Human medicine, Neurology (clinical), business, Humanities, 030217 neurology & neurosurgery, GLASGOW COMA SCALE
Abstract

Executive summary A concerted effort to tackle the global health problem posed by traumatic brain injury (TBI) is long overdue. TBI is a public health challenge of vast, but insufficiently recognised, proportions. Worldwide, more than 50 million people have a TBI each year, and it is estimated that about half the world’s population will have one or more TBIs over their lifetime. TBI is the leading cause of mortality in young adults and a major cause of death and disability across all ages in all countries, with a disproportionate burden of disability and death occurring in low-income and middle-income countries (LMICs). It has been estimated that TBI costs the global economy approximately $US400 billion annually. Deficiencies in prevention, care, and research urgently need to be addressed to reduce the huge burden and societal costs of TBI. This Commission highlights priorities and provides expert recommendations for all stakeholders— policy makers, funders, health-care professionals, researchers, and patient representatives—on clinical and research strategies to reduce this growing public health problem and improve the lives of people with TBI. The epidemiology of TBI is changing: in high-income countries, the number of elderly people with TBI is increasing, mainly due to falls, while in LMICs, the burden of TBI from road traffic incidents is increasing. Data on the frequency of TBI and TBI-related deaths and on the economic impact of brain trauma are often incomplete and vary between countries. Improved, accurate epidemiological monitoring and robust healtheconomic data collection are needed to inform healthcare policy and prevention programmes. Highly developed and coordinated systems of care are crucial for management of patients with TBI. However, in practice, implementation of such frameworks varies greatly and disconnects exist in the chain of care. Optimisation of systems of care should be high on the policy agenda and could yield substantial gains in terms of both patient outcomes and costs to society. TBI is a complex condition, and strong evidence to support treatment guidelines and recommendations is scarce. Most multicentre clinical trials of medical and surgical interventions have failed to show efficacy, despite promising preclinical results. At the bedside, treatment strategies are generally based on guidelines that promote a one-size-fits-all approach and are insufficiently targeted to the needs of individual patients. Attempts to individualise treatment are challenging owing to the diversity of TBI, and are hampered by the use of simplistic methods to characterise its initial type and severity. Advances in genomics, blood biomarkers, magnetic resonance imaging (MRI), and pathophysiological monitoring, combined with informatics to integrate data from multiple sources, offer new research avenues to improve disease characterisation and monitoring of disease evolution. These tools can also aid understanding of disease mechanisms and facilitate targeted treatment strategies for individual patients. Individualised management in the postacute phase and evaluation of the effectiveness of treatment and care processes depend on accurate quantification of outcomes. In practice, however, the use of simplistic methods hinders efforts to quantify outcomes after TBI of all severities. Development and validation of multidimensional approaches will be essential to improve measurement of clinical outcomes, for both research and patient care. In particular, we need to find better ways to characterise the currently under-recognised risk of long-term disabling sequelae in patients with relatively mild injuries. Prognostic models are important to help clinicians to provide reliable information to patients and relatives, and to facilitate comparative audit of care between centres and countries. There is an urgent need for further development, validation, and implementation of prognostic models in TBI, particularly for less severe TBI. This multitude of challenges in TBI—encompassing systems of care, clinical management, and research strategy—demands novel approaches to the generation of new evidence and its implementation in clinical practice. Comparative effectiveness research (CER) offers opportunities to capitalise on the diversity of TBI and systems of care and enables assessment of therapies in real-world conditions; high-quality CER studies can provide strong evidence to support guideline recommendations. The global challenges posed by TBI necessitate global collaborations and a change in research culture to endorse broad data sharing. This Commission covers a range of topics that need to be addressed to confront the global burden of TBI and reduce its effects on individuals and society: epidemiology (section 1); health economics (section 2); prevention (section 3); systems of care (section 4); clinical management (section 5); characterisation of TBI (section 6); outcome assessment (section 7); prognosis (section 8); and new directions for acquiring and implementing evidence (section 9). Table 1 summarises key messages from the Commission and provides recommendations to advance clinical care and research in TBI. We must increase awareness of the scale of the challenge posed by TBI. If we are to tackle the individual and societal burden of TBI, these efforts need to go beyond a clinical and research audience and address the public, politicians, and other stakeholders. We need to develop and implement policies for better prevention and systems of care in order to improve outcomes for individuals with TBI. We also need a commitment to substantial long-term investment in TBI research across a range of disciplines to determine best practice and facilitate individualised management strategies. A combination of innovative research methods and global collaboration, and ways to effectively translate progress in basic and clinical research into clinical practice and public health policy, will be vital for progress in the field.

Published
2017
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13. Brain death and postmortem organ donation: report of a questionnaire from the CENTER-TBI study

Author

Van Veen E., Van Der Jagt M., Cnossen M. C., Maas A. I. R., De Beaufort I. D., Menon D. K., Citerio G., Stocchetti N., Rietdijk W. J. R., Van Dijck J. T. J. M., Kompanje E. J. O., Ackerlund C., Adams H., Agnoletti V., Allanson J., Amrein K., Andaluz N., Andelic N., Andreassen L., Antun A., Anke A., Antoni A., Ardon H., Audibert G., Auslands K., Azouvi P., Azzolini M. L., Baciu C., Badenes R., Bartels R., Barzo P., Bauerfeind U., Beauvais R., Beer R., Francisco J. B., Bellander B. -M., Belli A., Bellier R., Benali H., Benard T., Berardino M., Beretta L., Beynon C., Bilotta F., Binder H., Biqiri E., Blaabjerg M., Den Boogert H., Bouzat P., Bragge P., Brazinova A., Brinck V., Brooker J., Brorsson C., Buki A., Bullinger M., Calappi E., Calvi M. R., Cameron P., Lozano G. C., Carbonara M., Carise E., Carpenter K., Castano-Leon A. M., Causin F., Chevallard G., Chieregato A., Coburn M., Coles J., Coles-Kemp L., Collett J., Cooper J. D., Correia M., Covic A., Curry N., Czeiter E., Czosnyka M., Dahyot-Fizelier C., Damas F., Damas P., Dawes H., De Keyser V., Della Corte F., Depreitere B., De Ruiter Godard C. W., Dilvesi D., Ding S., Dippel D., Dixit A., Donoghue E., Dreier J., Duliere G. -L., Eapen G., Engemann H., Ercole A., Esser P., Ezer E., Fabricius M., Feigin V. L., Feng J., Foks K., Fossi F., Francony G., Freo U., Frisvold S., Furmanov A., Gagliardo P., Galanaud D., Gantner D., Gao G., Geleijns K., George P., Ghuysen A., Giga L., Giraud B., Glocker B., Golubovic J., Gomez P. A., Grossi F., Gruen R. L., Gupta D., Haagsma J. A., Haitsma I., Hartings J. A., Helbok R., Helseth E., Hertle D., Hoedemaekers A., Hoefer S., Horton L., Huijben J., Hutchinson P. J., Haberg A. K., Jacobs B., Jankowski S., Jarrett M., Jelaca B., Jiang J. -Y., Jones K., Kamnitsas K., Karan M., Katila A., Kaukonen M., Kerforne T., Kivisaari R., Kolias A. G., Kolumban B., Kolundzija K., Kondziella D., Koskinen L. -O., Kovacs N., Lagares A., Lanyon L., Laureys S., Lecky F., Ledig C., Lefering R., Legrand V., Lei J., Levi L., Lightfoot R., Lingsma H., Loeckx D., Lozano A., MacDonald S., Maegele M., Majdan M., Major S., Manara A., Manley G., Didier M., Martin L. F., Martino C., Maruenda A., Marechal H., Masala A., Mattern J., McFadyen C., McMahon C., Melegh B., Menovsky T., Morganti-Kossmann C., Mulazzi D., Muraleedharan V., Murray L., Muhlan H., Nair N., Negru A., Nelson D., Newcombe V., Nieboer D., Noirhomme Q., Nyiradi J., Oddo M., Oldenbeuving A., Oresic M., Ortolano F., Palotie A., Parizel P. M., Patruno A., Payen J. -F., Perera N., Perlbarg V., Persona P., Peul W., Piippo-Karjalainen A., Floury S. P., Pirinen M., Ples H., Poca M. A., Polinder S., Pomposo I., Posti J., Puybasset L., Radoi A., Ragauskas A., Raj R., Rambadagalla M., Real R., Rehorcikova V., Rhodes J., Ripatti S., Rocka S., Roe C., Roise O., Roks G., Rosand J., Rosenfeld J., Rosenlund C., Rosenthal G., Rossaint R., Rossi S., Rueckert D., Rusnak M., Sacchi M., Sahakian B., Sahuquillo J., Sakowitz O., Sala F., Sanchez-Porras R., Sandor J., Santos E., Sasu L., Savo D., Schaffer N., Schipper I., Schlosser B., Schmidt S., Schoechl H., Schoonman G., Schou R. F., Schwendenwein E., Scholl M., Sir O., Skandsen T., Smakman L., Smeets D., Smielewski P., Sorinola A., Stamatakis E., Stanworth S., Steinbuchel N., Stevanovic A., Stevens R., Stewart W., Steyerberg E. W., Sundstrom N., Synnot A., Taccone F. S., Takala R., Tamas V., Tanskanen P., Taylor M. S., Te Ao B., Tenovuo O., Telgmann R., Teodorani G., Theadom A., Thomas M., Tibboel D., Tolias C., Tshibanda J. -F. L., Trapani T., Tudora C. M., Vajkoczy P., Vallance S., Valeinis E., Van Der Steen G., Van Der Naalt J., Van Essen T. A., Van Hecke W., Van Heugten C., Van Praag D., Vyvere T. V., Van Waesberghe J., Vanhaudenhuyse A., Vargiolu A., Vega E., Velt K., Verheyden J., Vespa P. M., Vik A., Vilcinis R., Vizzino G., Vleggeert-Lankamp C., Volovici V., Voormolen D., Vulekovic P., Vamos Z., Wade D., Wang K. K. W., Wang L., Wessels L., Wildschut E., Williams G., Wilson L., Winkler M. K. L., Wolf S., Ylen P., Younsi A., Zaaroor M., Zhihui Y., Ziverte A., Zumbo F., Intensive Care, Public Health, van Veen, Ernest, van der Jagt, Mathieu, Cnossen, Maryse C., Maas, Andrew I R, de Beaufort, Inez D., Menon, David K., Citerio, Giuseppe, Stocchetti, Nino, Rietdijk, Wim J R, van Dijck, Jeroen T J M, Kompanje, Erwin J O (CENTER-TBI investigators and participants), Beretta, Luigi, Apollo - University of Cambridge Repository, Ragauskas, Arminas, Rocka, Saulius, Vilcinis, Rimantas, „Springer' grupė, Neurokirurgian yksikkö, Clinicum, Van Veen E., Van Der Jagt M., Cnossen M.C., Maas A.I.R., De Beaufort I.D., Menon D.K., Citerio G., Stocchetti N., Rietdijk W.J.R., Van Dijck J.T.J.M., Kompanje E.J.O., Ackerlund C., Adams H., Agnoletti V., Allanson J., Amrein K., Andaluz N., Andelic N., Andreassen L., Antun A., Anke A., Antoni A., Ardon H., Audibert G., Auslands K., Azouvi P., Azzolini M.L., Baciu C., Badenes R., Bartels R., Barzo P., Bauerfeind U., Beauvais R., Beer R., Francisco J.B., Bellander B.-M., Belli A., Bellier R., Benali H., Benard T., Berardino M., Beretta L., Beynon C., Bilotta F., Binder H., Biqiri E., Blaabjerg M., Den Boogert H., Bouzat P., Bragge P., Brazinova A., Brinck V., Brooker J., Brorsson C., Buki A., Bullinger M., Calappi E., Calvi M.R., Cameron P., Lozano G.C., Carbonara M., Carise E., Carpenter K., Castano-Leon A.M., Causin F., Chevallard G., Chieregato A., Coburn M., Coles J., Coles-Kemp L., Collett J., Cooper J.D., Correia M., Covic A., Curry N., Czeiter E., Czosnyka M., Dahyot-Fizelier C., Damas F., Damas P., Dawes H., De Keyser V., Della Corte F., Depreitere B., De Ruiter Godard C.W., Dilvesi D., Ding S., Dippel D., Dixit A., Donoghue E., Dreier J., Duliere G.-L., Eapen G., Engemann H., Ercole A., Esser P., Ezer E., Fabricius M., Feigin V.L., Feng J., Foks K., Fossi F., Francony G., Freo U., Frisvold S., Furmanov A., Gagliardo P., Galanaud D., Gantner D., Gao G., Geleijns K., George P., Ghuysen A., Giga L., Giraud B., Glocker B., Golubovic J., Gomez P.A., Grossi F., Gruen R.L., Gupta D., Haagsma J.A., Haitsma I., Hartings J.A., Helbok R., Helseth E., Hertle D., Hoedemaekers A., Hoefer S., Horton L., Huijben J., Hutchinson P.J., Haberg A.K., Jacobs B., Jankowski S., Jarrett M., Jelaca B., Jiang J.-Y., Jones K., Kamnitsas K., Karan M., Katila A., Kaukonen M., Kerforne T., Kivisaari R., Kolias A.G., Kolumban B., Kolundzija K., Kondziella D., Koskinen L.-O., Kovacs N., Lagares A., Lanyon L., Laureys S., Lecky F., Ledig C., Lefering R., Legrand V., Lei J., Levi L., Lightfoot R., Lingsma H., Loeckx D., Lozano A., MacDonald S., Maegele M., Majdan M., Major S., Manara A., Manley G., Didier M., Martin L.F., Martino C., Maruenda A., Marechal H., Masala A., Mattern J., McFadyen C., McMahon C., Melegh B., Menovsky T., Morganti-Kossmann C., Mulazzi D., Muraleedharan V., Murray L., Muhlan H., Nair N., Negru A., Nelson D., Newcombe V., Nieboer D., Noirhomme Q., Nyiradi J., Oddo M., Oldenbeuving A., Oresic M., Ortolano F., Palotie A., Parizel P.M., Patruno A., Payen J.-F., Perera N., Perlbarg V., Persona P., Peul W., Piippo-Karjalainen A., Floury S.P., Pirinen M., Ples H., Poca M.A., Polinder S., Pomposo I., Posti J., Puybasset L., Radoi A., Ragauskas A., Raj R., Rambadagalla M., Real R., Rehorcikova V., Rhodes J., Ripatti S., Rocka S., Roe C., Roise O., Roks G., Rosand J., Rosenfeld J., Rosenlund C., Rosenthal G., Rossaint R., Rossi S., Rueckert D., Rusnak M., Sacchi M., Sahakian B., Sahuquillo J., Sakowitz O., Sala F., Sanchez-Porras R., Sandor J., Santos E., Sasu L., Savo D., Schaffer N., Schipper I., Schlosser B., Schmidt S., Schoechl H., Schoonman G., Schou R.F., Schwendenwein E., Scholl M., Sir O., Skandsen T., Smakman L., Smeets D., Smielewski P., Sorinola A., Stamatakis E., Stanworth S., Steinbuchel N., Stevanovic A., Stevens R., Stewart W., Steyerberg E.W., Sundstrom N., Synnot A., Taccone F.S., Takala R., Tamas V., Tanskanen P., Taylor M.S., Te Ao B., Tenovuo O., Telgmann R., Teodorani G., Theadom A., Thomas M., Tibboel D., Tolias C., Tshibanda J.-F.L., Trapani T., Tudora C.M., Vajkoczy P., Vallance S., Valeinis E., Van Der Steen G., Van Der Naalt J., Van Essen T.A., Van Hecke W., Van Heugten C., Van Praag D., Vyvere T.V., Van Waesberghe J., Vanhaudenhuyse A., Vargiolu A., Vega E., Velt K., Verheyden J., Vespa P.M., Vik A., Vilcinis R., Vizzino G., Vleggeert-Lankamp C., Volovici V., Voormolen D., Vulekovic P., Vamos Z., Wade D., Wang K.K.W., Wang L., Wessels L., Wildschut E., Williams G., Wilson L., Winkler M.K.L., Wolf S., Ylen P., Younsi A., Zaaroor M., Zhihui Y., Ziverte A., Zumbo F., Section Neuropsychology, RS: MHeNs - R1 - Cognitive Neuropsychiatry and Clinical Neuroscience, RS: FPN NPPP I, Psychiatrie & Neuropsychologie, Menon, David [0000-0002-3228-9692], Ročka, Saulius, Molecular Neuroscience and Ageing Research (MOLAR), CENTER-TBI Investigators, van Veen, E, van der Jagt, M, Cnossen, M, Maas, A, de Beaufort, I, Menon, D, Citerio, G, Stocchetti, N, Rietdijk, W, van Dijck, J, and Kompanje, E

Subjects
Neurology, Internationality, Traumatic/complications, brain death, ethics, postmortem organ donation, traumatic brain injury, ventricular drainage, withdrawing life-sustaining measures, GUIDELINES, Critical Care and Intensive Care Medicine, 0302 clinical medicine, Traumatic brain injury, Trauma Centers, WORLDWIDE, Surveys and Questionnaires, Brain Injuries, Traumatic, Response rate (survey), Brain death, VDP::Medical disciplines: 700::Clinical medical disciplines: 750, VDP::Medisinske Fag: 700::Klinisk medisinske fag: 750, lcsh:Medical emergencies. Critical care. Intensive care. First aid, Tissue and Organ Procurement/legislation & jurisprudence, POLICIES, Europe, VARIABILITY, Neurosurgery, Clinical evaluation, medicine.medical_specialty, Tissue and Organ Procurement, Withdrawing life-sustaining measure, Other Research Radboud Institute for Molecular Life Sciences [Radboudumc 0], Healthcare improvement science Radboud Institute for Health Sciences [Radboudumc 18], 03 medical and health sciences, Neurological assessment, medicine, Humans, Organ donation, Ethics, Postmortem organ donation, Ventricular drainage, Withdrawing life-sustaining measures, Ethic, business.industry, Research, Brain Injuries, Traumatic/complications, 3112 Neurosciences, 030208 emergency & critical care medicine, ADULTS, lcsh:RC86-88.9, Traumatic brain injury, Brain death, Ethics, Postmortem organ donation, Withdrawing life-sustaining measures, Ventricular drainage, medicine.disease, 3126 Surgery, anesthesiology, intensive care, radiology, Reconstructive and regenerative medicine Radboud Institute for Health Sciences [Radboudumc 10], Trauma Centers/organization & administration, Brain Injuries, Emergency medicine, Human medicine, business, 030217 neurology & neurosurgery, Regional differences
Abstract

Source at https://doi.org/10.1186/s13054-018-2241-4. Licensed CC BY-NC-ND 4.0. Background: We aimed to investigate the extent of the agreement on practices around brain death and postmortem organ donation. Methods: Investigators from 67 Collaborative European NeuroTrauma Effectiveness Research in Traumatic Brain Injury (CENTER-TBI) study centers completed several questionnaires (response rate: 99%). Results: Regarding practices around brain death, we found agreement on the clinical evaluation (prerequisites and neurological assessment) for brain death determination (BDD) in 100% of the centers. However, ancillary tests were required for BDD in 64% of the centers. BDD for nondonor patients was deemed mandatory in 18% of the centers before withdrawing life-sustaining measures (LSM). Also, practices around postmortem organ donation varied. Organ donation after circulatory arrest was forbidden in 45% of the centers. When withdrawal of LSM was contemplated, in 67% of centers the patients with a ventricular drain in situ had this removed, either sometimes or all of the time. Conclusions: This study showed both agreement and some regional differences regarding practices around brain death and postmortem organ donation. We hope our results help quantify and understand potential differences, and provide impetus for current dialogs toward further harmonization of practices around brain death and postmortem organ donation.

Published
2018
Full Text
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14. Explainable anatomical shape analysis through deep hierarchical generative models

Author

Biffi, C, Doumou, G, Duan, J, Prasad, SK, Cook, SA, O Regan, DP, Rueckert, D, Cerrolaza, JJ, Tarroni, G, Bai, W, De Marvao, A, Oktay, O, Ledig, C, Le Folgoc, L, and Kamnitsas, K

Subjects
Nuclear Medicine & Medical Imaging, cs.LG, eess.IV, 08 Information and Computing Sciences, cs.CV, 09 Engineering
Abstract

Quantification of anatomical shape changes currently relies on scalar global indexes which are largely insensitive to regional or asymmetric modifications. Accurate assessment of pathology-driven anatomical remodeling is a crucial step for the diagnosis and treatment of many conditions. Deep learning approaches have recently achieved wide success in the analysis of medical images, but they lack interpretability in the feature extraction and decision processes. In this work, we propose a new interpretable deep learning model for shape analysis. In particular, we exploit deep generative networks to model a population of anatomical segmentations through a hierarchy of conditional latent variables. At the highest level of this hierarchy, a two-dimensional latent space is simultaneously optimised to discriminate distinct clinical conditions, enabling the direct visualisation of the classification space. Moreover, the anatomical variability encoded by this discriminative latent space can be visualised in the segmentation space thanks to the generative properties of the model, making the classification task transparent. This approach yielded high accuracy in the categorisation of healthy and remodelled left ventricles when tested on unseen segmentations from our own multi-centre dataset as well as in an external validation set, and on hippocampi from healthy controls and patients with Alzheimer's disease when tested on ADNI data. More importantly, it enabled the visualisation in three-dimensions of both global and regional anatomical features which better discriminate between the conditions under exam. The proposed approach scales effectively to large populations, facilitating highthroughput analysis of normal anatomy and pathology in largescale studies of volumetric imaging.

Published
2020

15. Variation in neurosurgical management of traumatic brain injury: a survey in 68 centers participating in the CENTER-TBI study (vol 161, pg 453, 2019)

Author

den Boogert H, Cnossen M, Lingsma H, Peul W, Ackerlund C, Adams H, Agnoletti V, Allanson J, Amrein K, Andaluz N, Andelic N, Andreassen L, Antun A, Anke A, Antoni A, Ardon H, Audibert G, Auslands K, Azouvi P, Azzolini M, Baciu C, Badenes R, Bartels R, Barzo P, Bauerfeind U, Beauvais R, Beer R, Belda F, Bellander B, Belli A, Bellier R, Benali H, Benard T, Berardino M, Beretta L, Beynon C, Bilotta F, Binder H, Biqiri E, Blaabjerg M, Bouzat P, Bragge P, Brazinova A, Brinck V, Brooker J, Brorsson C, Buki A, Bullinger M, Calappi E, Calvi M, Cameron P, Carbayo L, Carbonara M, Carise E, Carpenter K, Castano-Leon A, Causin F, Chevallard G, Chieregato A, Citerio G, Coburn M, Coles J, Coles-Kemp L, Collett J, Cooper J, Correia M, Covic A, Curry N, Czeiter E, Czosnyka M, Dahyot-Fizelier C, Damas F, Damas P, Dawes H, De Keyser V, Francesco D, Depreitere B, de Ruiter G, Dilvesi D, Ding S, Dippel D, Dixit A, Donoghue E, Dreier J, Duliere G, Eapen G, Engemann H, Ercole A, Esser P, Ezer E, Fabricius M, Feigin V, Feng J, Foks K, Fossi F, Francony G, Freo U, Frisvold S, Furmanov A, Gagliardo P, Galanaud D, Gantner D, Gao G, Geleijns K, George P, Ghuysen A, Giga L, Giraud B, Ben Glocker, Golubovic J, Gomez P, Grossi F, Gruen R, Gupta D, Haagsma J, Haitsma I, Hartings J, Helbok R, Helseth E, Hertle D, Hoedemaekers A, Hoefer S, Horton L, Huijben J, Hutchinson P, Haberg A, Jacobs B, Jankowski S, Jarrett M, Jelaca B, Jiang J, Jones K, Kamnitsas K, Karan M, Katila A, Kaukonen M, Kerforne T, Kivisaari R, Kolias A, Kolumban B, Kompanje E, Kolundzija K, Kondziella D, Koskinen L, Kovacs N, Lagares A, Lanyon L, Laureys S, Lecky F, Ledig C, Lefering R, Legrand V, Lei J, Levi L, Lightfoot R, Loeckx D, Lozano A, Maas A, MacDonald S, Maegele M, Majdan M, Major S, Manara A, Manley G, Martin D, Martin L, Martino C, Maruenda A, Marechal H, Masala A, Mattern J, McFadyen C, McMahon C, Melegh B, Menon D, Menovsky T, Morganti-Kossmann C, Mulazzi D, Muraleedharan V, Murray L, Muhlan H, Nair N, Negru A, Nelson D, Newcombe V, Nieboer D, Noirhomme Q, Nyiradi J, Oddo M, Oldenbeuving A, Oresic M, Ortolano F, Palotie A, Parizel P, Patruno A, Payen J, Perera N, Perlbarg V, Persona P, Piippo-Karjalainen A, Pili F, Pirinen M, Ples H, Poca M, Polinder S, Pomposo I, Posti J, Puybasset L, Radoi A, Ragauskas A, Raj R, Rambadagalla M, Real R, Rehorcikova V, Rhodes J, Ripatti S, Rocka S, Roe C, Roise O, Roks G, Rosand J, Rosenfeld J, Rosenlund C, Rosenthal G, Rossaint R, Rossi S, Rueckert D, Rusnak M, Sacchi M, Sahakian B, Sahuquillo J, Sakowitz O, Sala F, Sanchez-Porras R, Sandor J, Santos E, Sasu L, Savo D, Schaffer N, Schipper I, Schlosser B, Schmidt S, Schoechl H, Schoonman G, Schou R, Schwendenwein E, Scholl M, Sir O, Skandsen T, Smakman L, Smeets D, Smielewski P, Sorinola A, Stamatakis E, Stanworth S, Steinbuchel N, Stevanovic A, Stevens R, Stewart W, Steyerberg E, Stocchetti N, Sundstrom N, Synnot A, Taccone F, Takala R, Tamas V, Tanskanen P, Taylor M, Ao B, Tenovuo O, Telgmann R, Teodorani G, Theadom A, Thomas M, Tibboel D, Tolias C, Tshibanda J, Trapani T, Tudora C, Vajkoczy P, Vallance S, Valeinis E, Van der Steen G, van der Jagt M, van der Naalt J, van Dijck J, van Essen T, van Hecke W, van Heugten C, van Praag D, Vyvere T, Van Waesberghe J, Vanhaudenhuyse A, Vargiolu A, Vega E, Velt K, Verheyden J, Vespa P, Vik A, Vilcinis R, Vizzino G, Vleggeert-Lankamp C, Volovici V, Voormolen D, Vulekovic P, Vamos Z, Wade D, Wang K, Wang L, Wessels L, Wildschut E, Williams G, Wilson L, Winkler M, Wolf S, Ylen P, Younsi A, Zaaroor M, Yang Z, Ziverte A, Zumbo F, and CENTER-TBI Investigators

Published
2019

16. Variation in structure and process of care in traumatic brain injury: Provider profiles of European Neurotrauma Centers participating in the CENTER-TBI study

Author

Cnossen, M, Polinder, S, Lingsma, H, Maas, A, Menon, D, Steyerberg, E, Adams, H, Alessandro, M, Allanson, J, Amrein, K, Andaluz, N, Andelic, N, Andrea, N, Andreassen, L, Anke, A, Antoni, A, Ardon, H, Audibert, G, Auslands, K, Azouvi, P, Baciu, C, Bacon, A, Badenes, R, Baglin, T, Bartels, R, Barzo, P, Bauerfeind, U, Beer, R, Belda, F, Bellander, B, Belli, A, Bellier, R, Benali, H, Benard, T, Berardino, M, Beretta, L, Beynon, C, Bilotta, F, Binder, H, Biqiri, E, Blaabjerg, M, Borgen, L, Bouzat, P, Bragge, P, Brazinova, A, Brehar, F, Brorsson, C, Buki, A, Bullinger, M, Buckova, V, Calappi, E, Cameron, P, Carbayo, L, Carise, E, Carpenter, C, Castano-Leon, A, Causin, F, Chevallard, G, Chieregato, A, Citerio, G, Coburn, M, Coles, J, Cooper, J, Correia, M, Covic, A, Curry, N, Czeiter, E, Czosnyka, M, Dahyot-Fizelier, C, Damas, F, Damas, P, Dawes, H, De Keyser, V, Della Corte, F, Depreitere, B, Ding, S, Dippel, D, Dizdarevic, K, Duliere, G, Dzeko, A, Eapen, G, Engemann, H, Ercole, A, Esser, P, Ezer, E, Fabricius, M, Feigin, V, Feng, J, Foks, K, Fossi, F, Francony, G, Frantzen, J, Freo, U, Frisvold, S, Furmanov, A, Gagliardo, P, Galanaud, D, Gao, G, Geleijns, K, Ghuysen, A, Giraud, B, Glocker, B, Gomez, P, Grossi, F, Gruen, R, Gupta, D, Haagsma, J, Hadzic, E, Haitsma, I, Hartings, J, Helbok, R, Helseth, E, Hertle, D, Hill, S, Hoedemaekers, A, Hoefer, S, Hutchinson, P, Haberg, A, Jacobs, B, Janciak, I, Janssens, K, Jiang, J, Jones, K, Kalala, J, Kamnitsas, K, Karan, M, Karau, J, Katila, A, Kaukonen, M, Keeling, D, Kerforne, T, Ketharanathan, N, Kettunen, J, Kivisaari, R, Kolias, A, Kolumban, B, Kompanje, E, Kondziella, D, Koskinen, L, Kovacs, N, Kalovits, F, Lagares, A, Lanyon, L, Laureys, S, Lauritzen, M, Lecky, F, Ledig, C, Lefering, R, Legrand, V, Lei, J, Levi, L, Lightfoot, R, Loeckx, D, Lozano, A, Luddington, R, Luijten-Arts, C, Macdonald, S, Macfayden, C, Maegele, M, Majdan, M, Major, S, Manara, A, Manhes, P, Manley, G, Martin, D, Martino, C, Maruenda, A, Marechal, H, Mastelova, D, Mattern, J, Mcmahon, C, Melegh, B, Menovsky, T, Morganti-Kossmann, C, Mulazzi, D, Mutschler, M, Muhlan, H, Negru, A, Nelson, D, Neugebauer, E, Newcombe, V, Noirhomme, Q, Nyiradi, J, Oddo, M, Oldenbeuving, A, Oresic, M, Ortolano, F, Palotie, A, Parizel, P, Patruno, A, Payen, J, Perera, N, Perlbarg, V, Persona, P, Peul, W, Pichon, N, Piilgaard, H, Piippo, A, Pili, F, Pirinen, M, Ples, H, Pomposo, I, Psota, M, Pullens, P, Puybasset, L, Ragauskas, A, Raj, R, Rambadagalla, M, Rehorcikova, V, Rhodes, J, Richardson, S, Ripatti, S, Rocka, S, Rodier, N, Roe, C, Roise, O, Roks, G, Romegoux, P, Rosand, J, Rosenfeld, J, Rosenlund, C, Rosenthal, G, Rossaint, R, Rossi, S, Rostalski, T, Rueckert, D, Ruiz De Arcaute, F, Rusnak, M, Sacchi, M, Sahakian, B, Sahuquillo, J, Sakowitz, O, Sala, F, Sanchez-Pena, P, Sanchez-Porras, R, Sandor, J, Santos, E, Sasse, N, Sasu, L, Savo, D, Schipper, I, Schlosser, B, Schmidt, S, Schneider, A, Schoechl, H, Schoonman, G, Schou, R, Schwendenwein, E, Scholl, M, Sir, O, Skandsen, T, Smakman, L, Smeets, D, Smielewski, P, Sorinola, A, Stamatakis, E, Stanworth, S, Stegemann, K, Steinbuchel, N, Stevens, R, Stewart, W, Stocchetti, N, Sundstrom, N, Synnot, A, Szabo, J, Soderberg, J, Taccone, F, Tamas, V, Tanskanen, P, Tascu, A, Taylor, M, Te Ao, B, Tenovuo, O, Teodorani, G, Theadom, A, Thomas, M, Tibboel, D, Tolias, C, Tshibanda, J, Tudora, C, Vajkoczy, P, Valeinis, E, Van Hecke, W, Van Praag, D, Van Roost, D, Van Vlierberghe, E, Vande Vyvere, T, Vanhaudenhuyse, A, Vargiolu, A, Vega, E, Verheyden, J, Vespa, P, Vik, A, Vilcinis, R, Vizzino, G, Vleggeert-Lankamp, C, Volovici, V, Vulekovic, P, Vamos, Z, Wade, D, Wang, K, Wang, L, Wildschut, E, Williams, G, Willumsen, L, Wilson, A, Wilson, L, Winkler, M, Ylen, P, Younsi, A, Zaaroor, M, Zhang, Z, Zheng, Z, Zumbo, F, De Lange, S, De Ruiter, G, Den Boogert, H, Van Dijck, J, Van Essen, T, Van Heugten, C, Van Der Jagt, M, Van Der Naalt, J, Cnossen M. C., Polinder S., Lingsma H. F., Maas A. I. R., Menon D., Steyerberg E. W., Adams H., Alessandro M., Allanson J., Amrein K., Andaluz N., Andelic N., Andrea N., Andreassen L., Anke A., Antoni A., Ardon H., Audibert G., Auslands K., Azouvi P., Baciu C., Bacon A., Badenes R., Baglin T., Bartels R., Barzo P., Bauerfeind U., Beer R., Belda F. J., Bellander B. -M., Belli A., Bellier R., Benali H., Benard T., Berardino M., Beretta L., Beynon C., Bilotta F., Binder H., Biqiri E., Blaabjerg M., Borgen L. S., Bouzat P., Bragge P., Brazinova A., Brehar F., Brorsson C., Buki A., Bullinger M., Buckova V., Calappi E., Cameron P., Carbayo L. G., Carise E., Carpenter C., Castano-Leon A. M., Causin F., Chevallard G., Chieregato A., Citerio G., Coburn M. C., Coles J., Cooper J. D., Correia M., Covic A., Curry N., Czeiter E., Czosnyka M., Dahyot-Fizelier C., Damas F., Damas P., Dawes H., De Keyser V., Della Corte F., Depreitere B., Ding S., Dippel D., Dizdarevic K., Duliere G. -L., Dzeko A., Eapen G., Engemann H., Ercole A., Esser P., Ezer E., Fabricius M., Feigin V. L., Feng J., Foks K., Fossi F., Francony G., Frantzen J., Freo U., Frisvold S., Furmanov A., Gagliardo P., Galanaud D., Gao G., Geleijns K., Ghuysen A., Giraud B., Glocker B., Gomez P. A., Grossi F., Gruen R. L., Gupta D., Haagsma J. A., Hadzic E., Haitsma I., Hartings J. A., Helbok R., Helseth E., Hertle D., Hill S., Hoedemaekers A., Hoefer S., Hutchinson P. J., Haberg A. K., Jacobs B., Janciak I., Janssens K., Jiang J., Jones K., Kalala J. -P., Kamnitsas K., Karan M., Karau J., Katila A., Kaukonen M., Keeling D., Kerforne T., Ketharanathan N., Kettunen J., Kivisaari R., Kolias A. G., Kolumban B., Kompanje E., Kondziella D., Koskinen L. -O., Kovacs N., Kalovits F., Lagares A., Lanyon L., Laureys S., Lauritzen M., Lecky F., Ledig C., Lefering R., Legrand V., Lei J., Levi L., Lightfoot R., Lingsma H., Loeckx D., Lozano A., Luddington R., Luijten-Arts C., MacDonald S., MacFayden C., Maegele M., Majdan M., Major S., Manara A., Manhes P., Manley G., Martin D., Martino C., Maruenda A., Marechal H., Mastelova D., Mattern J., McMahon C., Melegh B., Menovsky T., Morganti-Kossmann C., Mulazzi D., Mutschler M., Muhlan H., Negru A., Nelson D., Neugebauer E., Newcombe V., Noirhomme Q., Nyiradi J., Oddo M., Oldenbeuving A., Oresic M., Ortolano F., Palotie A., Parizel P. M., Patruno A., Payen J. -F., Perera N., Perlbarg V., Persona P., Peul W., Pichon N., Piilgaard H., Piippo A., Pili F. S., Pirinen M., Ples H., Pomposo I., Psota M., Pullens P., Puybasset L., Ragauskas A., Raj R., Rambadagalla M., Rehorcikova V., Rhodes J., Richardson S., Ripatti S., Rocka S., Rodier N., Roe C., Roise O., Roks G., Romegoux P., Rosand J., Rosenfeld J., Rosenlund C., Rosenthal G., Rossaint R., Rossi S., Rostalski T., Rueckert D. L., Ruiz De Arcaute F., Rusnak M., Sacchi M., Sahakian B., Sahuquillo J., Sakowitz O., Sala F., Sanchez-Pena P., Sanchez-Porras R., Sandor J., Santos E., Sasse N., Sasu L., Savo D., Schipper I., Schlosser B., Schmidt S., Schneider A., Schoechl H., Schoonman G., Schou R. F., Schwendenwein E., Scholl M., Sir O., Skandsen T., Smakman L., Smeets D., Smielewski P., Sorinola A., Stamatakis E. L., Stanworth S., Stegemann K., Steinbuchel N., Stevens R., Stewart W., Stocchetti N., Sundstrom N., Synnot A., Szabo J., Soderberg J., Taccone F. S., Tamas V., Tanskanen P., Tascu A., Taylor M. S., Te Ao B., Tenovuo O., Teodorani G., Theadom A., Thomas M., Tibboel D., Tolias C., Tshibanda J. -F. L., Tudora C. M., Vajkoczy P., Valeinis E., Van Hecke W., Van Praag D., Van Roost D., Van Vlierberghe E., Vande Vyvere T., Vanhaudenhuyse A., Vargiolu A., Vega E., Verheyden J., Vespa P. M., Vik A., Vilcinis R., Vizzino G., Vleggeert-Lankamp C., Volovici V., Vulekovic P., Vamos Z., Wade D., Wang K. K. W., Wang L., Wildschut E., Williams G., Willumsen L., Wilson A., Wilson L., Winkler M. K. L., Ylen P., Younsi A., Zaaroor M., Zhang Z., Zheng Z., Zumbo F., De Lange S., De Ruiter G. C. W., Den Boogert H., Van Dijck J., Van Essen T. A., Van Heugten C., Van Der Jagt M., Van Der Naalt J., Cnossen, M, Polinder, S, Lingsma, H, Maas, A, Menon, D, Steyerberg, E, Adams, H, Alessandro, M, Allanson, J, Amrein, K, Andaluz, N, Andelic, N, Andrea, N, Andreassen, L, Anke, A, Antoni, A, Ardon, H, Audibert, G, Auslands, K, Azouvi, P, Baciu, C, Bacon, A, Badenes, R, Baglin, T, Bartels, R, Barzo, P, Bauerfeind, U, Beer, R, Belda, F, Bellander, B, Belli, A, Bellier, R, Benali, H, Benard, T, Berardino, M, Beretta, L, Beynon, C, Bilotta, F, Binder, H, Biqiri, E, Blaabjerg, M, Borgen, L, Bouzat, P, Bragge, P, Brazinova, A, Brehar, F, Brorsson, C, Buki, A, Bullinger, M, Buckova, V, Calappi, E, Cameron, P, Carbayo, L, Carise, E, Carpenter, C, Castano-Leon, A, Causin, F, Chevallard, G, Chieregato, A, Citerio, G, Coburn, M, Coles, J, Cooper, J, Correia, M, Covic, A, Curry, N, Czeiter, E, Czosnyka, M, Dahyot-Fizelier, C, Damas, F, Damas, P, Dawes, H, De Keyser, V, Della Corte, F, Depreitere, B, Ding, S, Dippel, D, Dizdarevic, K, Duliere, G, Dzeko, A, Eapen, G, Engemann, H, Ercole, A, Esser, P, Ezer, E, Fabricius, M, Feigin, V, Feng, J, Foks, K, Fossi, F, Francony, G, Frantzen, J, Freo, U, Frisvold, S, Furmanov, A, Gagliardo, P, Galanaud, D, Gao, G, Geleijns, K, Ghuysen, A, Giraud, B, Glocker, B, Gomez, P, Grossi, F, Gruen, R, Gupta, D, Haagsma, J, Hadzic, E, Haitsma, I, Hartings, J, Helbok, R, Helseth, E, Hertle, D, Hill, S, Hoedemaekers, A, Hoefer, S, Hutchinson, P, Haberg, A, Jacobs, B, Janciak, I, Janssens, K, Jiang, J, Jones, K, Kalala, J, Kamnitsas, K, Karan, M, Karau, J, Katila, A, Kaukonen, M, Keeling, D, Kerforne, T, Ketharanathan, N, Kettunen, J, Kivisaari, R, Kolias, A, Kolumban, B, Kompanje, E, Kondziella, D, Koskinen, L, Kovacs, N, Kalovits, F, Lagares, A, Lanyon, L, Laureys, S, Lauritzen, M, Lecky, F, Ledig, C, Lefering, R, Legrand, V, Lei, J, Levi, L, Lightfoot, R, Loeckx, D, Lozano, A, Luddington, R, Luijten-Arts, C, Macdonald, S, Macfayden, C, Maegele, M, Majdan, M, Major, S, Manara, A, Manhes, P, Manley, G, Martin, D, Martino, C, Maruenda, A, Marechal, H, Mastelova, D, Mattern, J, Mcmahon, C, Melegh, B, Menovsky, T, Morganti-Kossmann, C, Mulazzi, D, Mutschler, M, Muhlan, H, Negru, A, Nelson, D, Neugebauer, E, Newcombe, V, Noirhomme, Q, Nyiradi, J, Oddo, M, Oldenbeuving, A, Oresic, M, Ortolano, F, Palotie, A, Parizel, P, Patruno, A, Payen, J, Perera, N, Perlbarg, V, Persona, P, Peul, W, Pichon, N, Piilgaard, H, Piippo, A, Pili, F, Pirinen, M, Ples, H, Pomposo, I, Psota, M, Pullens, P, Puybasset, L, Ragauskas, A, Raj, R, Rambadagalla, M, Rehorcikova, V, Rhodes, J, Richardson, S, Ripatti, S, Rocka, S, Rodier, N, Roe, C, Roise, O, Roks, G, Romegoux, P, Rosand, J, Rosenfeld, J, Rosenlund, C, Rosenthal, G, Rossaint, R, Rossi, S, Rostalski, T, Rueckert, D, Ruiz De Arcaute, F, Rusnak, M, Sacchi, M, Sahakian, B, Sahuquillo, J, Sakowitz, O, Sala, F, Sanchez-Pena, P, Sanchez-Porras, R, Sandor, J, Santos, E, Sasse, N, Sasu, L, Savo, D, Schipper, I, Schlosser, B, Schmidt, S, Schneider, A, Schoechl, H, Schoonman, G, Schou, R, Schwendenwein, E, Scholl, M, Sir, O, Skandsen, T, Smakman, L, Smeets, D, Smielewski, P, Sorinola, A, Stamatakis, E, Stanworth, S, Stegemann, K, Steinbuchel, N, Stevens, R, Stewart, W, Stocchetti, N, Sundstrom, N, Synnot, A, Szabo, J, Soderberg, J, Taccone, F, Tamas, V, Tanskanen, P, Tascu, A, Taylor, M, Te Ao, B, Tenovuo, O, Teodorani, G, Theadom, A, Thomas, M, Tibboel, D, Tolias, C, Tshibanda, J, Tudora, C, Vajkoczy, P, Valeinis, E, Van Hecke, W, Van Praag, D, Van Roost, D, Van Vlierberghe, E, Vande Vyvere, T, Vanhaudenhuyse, A, Vargiolu, A, Vega, E, Verheyden, J, Vespa, P, Vik, A, Vilcinis, R, Vizzino, G, Vleggeert-Lankamp, C, Volovici, V, Vulekovic, P, Vamos, Z, Wade, D, Wang, K, Wang, L, Wildschut, E, Williams, G, Willumsen, L, Wilson, A, Wilson, L, Winkler, M, Ylen, P, Younsi, A, Zaaroor, M, Zhang, Z, Zheng, Z, Zumbo, F, De Lange, S, De Ruiter, G, Den Boogert, H, Van Dijck, J, Van Essen, T, Van Heugten, C, Van Der Jagt, M, Van Der Naalt, J, Cnossen M. C., Polinder S., Lingsma H. F., Maas A. I. R., Menon D., Steyerberg E. W., Adams H., Alessandro M., Allanson J., Amrein K., Andaluz N., Andelic N., Andrea N., Andreassen L., Anke A., Antoni A., Ardon H., Audibert G., Auslands K., Azouvi P., Baciu C., Bacon A., Badenes R., Baglin T., Bartels R., Barzo P., Bauerfeind U., Beer R., Belda F. J., Bellander B. -M., Belli A., Bellier R., Benali H., Benard T., Berardino M., Beretta L., Beynon C., Bilotta F., Binder H., Biqiri E., Blaabjerg M., Borgen L. S., Bouzat P., Bragge P., Brazinova A., Brehar F., Brorsson C., Buki A., Bullinger M., Buckova V., Calappi E., Cameron P., Carbayo L. G., Carise E., Carpenter C., Castano-Leon A. M., Causin F., Chevallard G., Chieregato A., Citerio G., Coburn M. C., Coles J., Cooper J. D., Correia M., Covic A., Curry N., Czeiter E., Czosnyka M., Dahyot-Fizelier C., Damas F., Damas P., Dawes H., De Keyser V., Della Corte F., Depreitere B., Ding S., Dippel D., Dizdarevic K., Duliere G. -L., Dzeko A., Eapen G., Engemann H., Ercole A., Esser P., Ezer E., Fabricius M., Feigin V. L., Feng J., Foks K., Fossi F., Francony G., Frantzen J., Freo U., Frisvold S., Furmanov A., Gagliardo P., Galanaud D., Gao G., Geleijns K., Ghuysen A., Giraud B., Glocker B., Gomez P. A., Grossi F., Gruen R. L., Gupta D., Haagsma J. A., Hadzic E., Haitsma I., Hartings J. A., Helbok R., Helseth E., Hertle D., Hill S., Hoedemaekers A., Hoefer S., Hutchinson P. J., Haberg A. K., Jacobs B., Janciak I., Janssens K., Jiang J., Jones K., Kalala J. -P., Kamnitsas K., Karan M., Karau J., Katila A., Kaukonen M., Keeling D., Kerforne T., Ketharanathan N., Kettunen J., Kivisaari R., Kolias A. G., Kolumban B., Kompanje E., Kondziella D., Koskinen L. -O., Kovacs N., Kalovits F., Lagares A., Lanyon L., Laureys S., Lauritzen M., Lecky F., Ledig C., Lefering R., Legrand V., Lei J., Levi L., Lightfoot R., Lingsma H., Loeckx D., Lozano A., Luddington R., Luijten-Arts C., MacDonald S., MacFayden C., Maegele M., Majdan M., Major S., Manara A., Manhes P., Manley G., Martin D., Martino C., Maruenda A., Marechal H., Mastelova D., Mattern J., McMahon C., Melegh B., Menovsky T., Morganti-Kossmann C., Mulazzi D., Mutschler M., Muhlan H., Negru A., Nelson D., Neugebauer E., Newcombe V., Noirhomme Q., Nyiradi J., Oddo M., Oldenbeuving A., Oresic M., Ortolano F., Palotie A., Parizel P. M., Patruno A., Payen J. -F., Perera N., Perlbarg V., Persona P., Peul W., Pichon N., Piilgaard H., Piippo A., Pili F. S., Pirinen M., Ples H., Pomposo I., Psota M., Pullens P., Puybasset L., Ragauskas A., Raj R., Rambadagalla M., Rehorcikova V., Rhodes J., Richardson S., Ripatti S., Rocka S., Rodier N., Roe C., Roise O., Roks G., Romegoux P., Rosand J., Rosenfeld J., Rosenlund C., Rosenthal G., Rossaint R., Rossi S., Rostalski T., Rueckert D. L., Ruiz De Arcaute F., Rusnak M., Sacchi M., Sahakian B., Sahuquillo J., Sakowitz O., Sala F., Sanchez-Pena P., Sanchez-Porras R., Sandor J., Santos E., Sasse N., Sasu L., Savo D., Schipper I., Schlosser B., Schmidt S., Schneider A., Schoechl H., Schoonman G., Schou R. F., Schwendenwein E., Scholl M., Sir O., Skandsen T., Smakman L., Smeets D., Smielewski P., Sorinola A., Stamatakis E. L., Stanworth S., Stegemann K., Steinbuchel N., Stevens R., Stewart W., Stocchetti N., Sundstrom N., Synnot A., Szabo J., Soderberg J., Taccone F. S., Tamas V., Tanskanen P., Tascu A., Taylor M. S., Te Ao B., Tenovuo O., Teodorani G., Theadom A., Thomas M., Tibboel D., Tolias C., Tshibanda J. -F. L., Tudora C. M., Vajkoczy P., Valeinis E., Van Hecke W., Van Praag D., Van Roost D., Van Vlierberghe E., Vande Vyvere T., Vanhaudenhuyse A., Vargiolu A., Vega E., Verheyden J., Vespa P. M., Vik A., Vilcinis R., Vizzino G., Vleggeert-Lankamp C., Volovici V., Vulekovic P., Vamos Z., Wade D., Wang K. K. W., Wang L., Wildschut E., Williams G., Willumsen L., Wilson A., Wilson L., Winkler M. K. L., Ylen P., Younsi A., Zaaroor M., Zhang Z., Zheng Z., Zumbo F., De Lange S., De Ruiter G. C. W., Den Boogert H., Van Dijck J., Van Essen T. A., Van Heugten C., Van Der Jagt M., and Van Der Naalt J.

Abstract

Introduction: The strength of evidence underpinning care and treatment recommendations in traumatic brain injury (TBI) is low. Comparative effectiveness research (CER) has been proposed as a framework to provide evidence for optimal care for TBI patients. The first step in CER is to map the existing variation. The aim of current study is to quantify variation in general structural and process characteristics among centers participating in the Collaborative European NeuroTrauma Effectiveness Research in Traumatic Brain Injury (CENTER-TBI) study. Methods: We designed a set of 11 provider profiling questionnaires with 321 questions about various aspects of TBI care, chosen based on literature and expert opinion. After pilot testing, questionnaires were disseminated to 71 centers from 20 countries participating in the CENTER-TBI study. Reliability of questionnaires was estimated by calculating a concordance rate among 5% duplicate questions. Results: All 71 centers completed the questionnaires. Median concordance rate among duplicate questions was 0.85. The majority of centers were academic hospitals (n = 65, 92%), designated as a level I trauma center (n = 48, 68%) and situated in an urban location (n = 70, 99%). The availability of facilities for neuro-trauma care varied across centers; e.g. 40 (57%) had a dedicated neuro-intensive care unit (ICU), 36 (51%) had an in-hospital rehabilitation unit and the organization of the ICU was closed in 64% (n = 45) of the centers. In addition, we found wide variation in processes of care, such as the ICU admission policy and intracranial pressure monitoring policy among centers. Conclusion: Even among high-volume, specialized neurotrauma centers there is substantial variation in structures and processes of TBI care. This variation provides an opportunity to study effectiveness of specific aspects of TBI care and to identify best practices with CER approaches.

Published
2016

17. SFSPM 2018 — Congrès de la Société Française de Sénologie et de Pathologie Mammaire (Avignon, 7-9/11-2018)

Author

Serin, D., primary, Adnot, S., additional, Allioux, C., additional, Alran, S., additional, Bazin, B., additional, Bendiane, M.-K., additional, Bo-Gallon, E., additional, Boinon, D., additional, Bouhnik, A.-D., additional, Bourstyn, E., additional, Charles, C., additional, Clément, A., additional, Coussirou, J., additional, Cutuli, B., additional, Dauchy, S., additional, Debourdeau, P., additional, Degos, L., additional, Duponchel, P., additional, Durand, T., additional, Eisinger, F., additional, Falandry, C., additional, Favier, B., additional, Heudel, P.E., additional, Ledig, C., additional, Lesur, A., additional, Mancini, J., additional, Monet, A., additional, Moretta, J., additional, Neveu, J., additional, Ninot, G., additional, Préau, M., additional, Ravot, C., additional, Rousset-Jablonski, C., additional, Touzani, R., additional, Valéro, M., additional, and Zambrowski, J.-J., additional

Published
2018
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19. Instantiated mixed effects modeling of Alzheimer's disease markers

Author

Guerrero, R, Schmidt-Richberg, A, Ledig, C, Tong, T, Wolz, R, Rueckert, D, The Alzheimer's Disease Neuroimaging Initiative (ADNI), Technology Strategy Board, and Innovate UK

Subjects
0301 basic medicine, Cross-sectional study, Cognitive Neuroscience, Population, Subject stratification, Alzheimer's Disease Neuroimaging Initiative (ADNI), Disease, Neuropsychological Tests, Machine learning, computer.software_genre, Population stratification, Task (project management), 17 Psychology And Cognitive Sciences, 03 medical and health sciences, 0302 clinical medicine, Alzheimer Disease, medicine, Humans, Longitudinal Studies, Longitudinal modeling, education, education.field_of_study, Neurology & Neurosurgery, business.industry, 11 Medical And Health Sciences, Models, Theoretical, Alzheimer's disease, medicine.disease, Magnetic Resonance Imaging, Clinical trial, Cross-Sectional Studies, 030104 developmental biology, Neurology, Mixed effects, Artificial intelligence, business, Neuroscience, computer, Biomarkers, 030217 neurology & neurosurgery, AD markers
Abstract

The assessment and prediction of a subject's current and future risk of developing neurodegenerative diseases like Alzheimer's disease are of great interest in both the design of clinical trials as well as in clinical decision making. Exploring the longitudinal trajectory of markers related to neurodegeneration is an important task when selecting subjects for treatment in trials and the clinic, in the evaluation of early disease indicators and the monitoring of disease progression. Given that there is substantial intersubject variability, models that attempt to describe marker trajectories for a whole population will likely lack specificity for the representation of individual patients. Therefore, we argue here that individualized models provide a more accurate alternative that can be used for tasks such as population stratification and a subject-specific prognosis. In the work presented here, mixed effects modeling is used to derive global and individual marker trajectories for a training population. Test subject (new patient) specific models are then instantiated using a stratified "marker signature" that defines a subpopulation of similar cases within the training database. From this subpopulation, personalized models of the expected trajectory of several markers are subsequently estimated for unseen patients. These patient specific models of markers are shown to provide better predictions of time-to-conversion to Alzheimer's disease than population based models.

Published
2016

20. Learning biomarker models for progression estimation of Alzheimer's disease

Author

Schmidt-Richberg, A., Ledig, C., Guerrero, R., Molina-Abril, H., Frangi, A., and Rueckert, D.

Abstract

This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted se, distribution, and reproduction in any medium, provided the original author and source are credited.Being able to estimate a patient's progress in the course of Alzheimer's disease and predicting future progression based on a number of observed biomarker values is of great interest for patients, clinicians and researchers alike. In this work, an approach for disease progress estimation is presented. Based on a set of subjects that convert to a more severe disease stage during the study, models that describe typical trajectories of biomarker values in the course of disease are learned using quantile regression. A novel probabilistic method is then derived to estimate the current disease progress as well as the rate of progression of an individual by fitting acquired biomarkers to the models. A particular strength of the method is its ability to naturally handle missing data. This means, it is applicable even if individual biomarker measurements are missing for a subject without requiring a retraining of the model. The functionality of the presented method is demonstrated using synthetic and - employing cognitive scores and image-based biomarkers - real data from the ADNI study. Further, three possible applications for progress estimation are demonstrated to underline the versatility of the approach: classification, construction of a spatio-temporal disease progression atlas and prediction of future disease progression. Copyright

Published
2016

24. Variation in monitoring and treatment policies for intracranial hypertension in traumatic brain injury: A survey in 66 neurotrauma centers participating in the CENTER-TBI study

Author

Cnossen, M.C. (Maryse), Huijben, J.A. (Jilske A.), van der Jagt, M. (Mathieu), Volovici, V. (Victor), van Essen, T. (Thomas), Polinder, S. (Suzanne), Nelson, D. (David), Ercole, A. (Ari), Stocchetti, N. (Nino), Citerio, G. (Giuseppe), Peul, W.C. (Wilco), Maas, A.I.R. (Andrew), Menon, D.K. (David ), Steyerberg, E.W. (Ewout), Lingsma, H.F. (Hester F.), Adams, H. (Hadie), Alessandro, M. (Masala), Allanson, J.E. (Judith), Amrein, K. (Krisztina), Andaluz, N. (Norberto), Andelic, N. (Nada), Andrea, N. (Nanni), Andreassen, L. (Lasse), Anke, A. (Audny), Antoni, A. (Anna), Ardon, H. (Hilko), Audibert, G. (Gérard), Auslands, K. (Kaspars), Azouvi, P. (Philippe), Baciu, C. (Camelia), Bacon, A. (Andrew), Badenes, R. (Rafael), Baglin, T. (Trevor), Bartels, R.H.M.A. (Ronald), Barzo, P. (P.), Bauerfeind, U. (Ursula), Beer, R. (Ronny), Belda, F.J. (Francisco Javier), Bellander, B.-M. (Bo-Michael), Belli, A. (Antonio), Bellier, R. (Rémy), Benali, H. (Habib), Benard, T. (Thierry), Berardino, M. (Maurizio), Beretta, L. (Luigi), Beynon, C. (Christopher), Bilotta, F. (Federico), Binder, H. (Harald), Biqiri, E. (Erta), Blaabjerg, M. (Morten), Lund, S.B. (Stine Borgen), Bouzat, P. (Pierre), Bragge, P. (Peter), Brazinova, A. (Alexandra), Brehar, F. (Felix), Brorsson, C. (Camilla), Buki, A. (Andras), Bullinger, M. (Monika), Bucková, V. (Veronika), Calappi, E. (Emiliana), Cameron, P. (Peter), Carbayo, L.G. (Lozano Guillermo), Carise, E. (Elsa), Carpenter, K.L.H. (Keri L.H.), Castaño-León, A.M. (Ana M.), Causin, F. (Francesco), Chevallard, G. (Giorgio), Chieregato, A. (Arturo), Cnossen, M. (Maryse), Coburn, M. (Mark), Coles, J.P. (Jonathan P.), Cooper, J.D. (Jamie D.), Correia, M. (Marta), Covic, A. (Amra), Curry, N. (Nicola), Czeiter, E. (Endre), Czosnyka, M. (Marek), Dahyot-Fizelier, C. (Claire), Damas, F. (François), Damas, P. (Pierre), Dawes, H. (Helen), De Keyser, V. (Véronique), Corte, F.D. (Francesco), Depreitere, B. (Bart), Ding, S. (Shenghao), Dippel, D.W.J. (Diederik), Dizdarevic, K. (Kemal), Dulière, G.-L. (Guy-Loup), Dzeko, A. (Adelaida), Eapen, G. (George), Engemann, H. (Heiko), Esser, P. (Patrick), Ezer, E. (Erzsébet), Fabricius, M. (Martin), Feigin, V.L. (V.), Feng, J. (Junfeng), Foks, K. (Kelly), Fossi, F. (Francesca), Francony, G. (Gilles), Frantzén, J. (Janek), Freo, U. (Ulderico), Frisvold, S.K. (Shirin Kordasti), Furmanov, A. (Alex), Gagliardo, P. (Pablo), Galanaud, D. (Damien), Gao, G. (Guoyi), Geleijns, K. (Karin), Ghuysen, A. (Alexandre), Giraud, B. (Benoit), Glocker, B. (Ben), Gomez, P.A. (Pedro A.), Grossi, F. (Francesca), Gruen, R.L. (Russell), Gupta, D. (Deepak), Haagsma, J.A. (Juanita), Hadzic, E. (Ermin), Haitsma, I. (Iain), Hartings, J.A. (Jed), Helbok, R. (Raimund), Helseth, E. (Eirik), Hertle, D. (Daniel), Hill, S. (Sean), Hoedemaekers, A. (Astrid), Hoefer, S. (Stefan), Hutchinson, P.J. (Peter J.), Håberg, K.A. (Kristine Asta), Jacobs, B.C. (Bart), Janciak, I. (Ivan), Janssens, K. (Koen), Jiang, J.-Y. (Ji-Yao), Jones, K. (Kelly), Kalala, J.-P. (Jean-Pierre), Kamnitsas, K. (Konstantinos), Karan, M. (Mladen), Karau, J. (Jana), Katila, A. (Ari), Kaukonen, M. (Maija), Keeling, D. (David), Kerforne, T. (Thomas), Ketharanathan, N. (Naomi), Kettunen, J. (Johannes), Kivisaari, R. (Riku), Kolias, A.G. (Angelos G.), Kolumbán, B. (Bálint), Kompanje, E.J.O. (Erwin), Kondziella, D. (Daniel), Koskinen, L.-O. (Lars-Owe), Kovács, N. (Noémi), Kalovits, F. (Ferenc), Lagares, A. (Alfonso), Lanyon, L. (Linda), Laureys, S. (Steven), Lauritzen, M. (Martin), Lecky, F.E. (Fiona), Ledig, C. (Christian), Lefering, R., Legrand, V. (Valerie), Lei, J. (Jin), Levi, L. (Leon), Lightfoot, R. (Roger), Lingsma, H.F. (Hester), Loeckx, D. (Dirk), Lozano, A. (Angels), Luddington, R. (Roger), Luijten-Arts, C. (Chantal), Maas, A.I.R. (Andrew I.R.), MacDonald, S. (Stephen), MacFayden, C. (Charles), Maegele, M. (Marc), Majdan, M. (Marek), Major, S. (Sebastian), Manara, A. (Alex), Manhes, P. (Pauline), Manley, G. (Geoffrey), Martin, D. (Didier), Martino, C. (Costanza), Maruenda, A. (Armando), Maréchal, H. (Hugues), Mastelova, D. (Dagmara), Mattern, J. (Julia), McMahon, C. (Catherine), Melegh, B. (Béla), Menon, D. (David), Menovsky, T. (Tomas), Morganti-Kossmann, C. (Cristina), Mulazzi, D. (Davide), Mutschler, M. (Manuel), Mühlan, H. (Holger), Negru, A. (Ancuta), Neugebauer, E. (Eddy), Newcombe, V.F. (Virginia F.), Noirhomme, Q. (Quentin), Nyirádi, J. (József), Oddo, M. (Mauro), Oldenbeuving, A.W., Oresic, M. (Matej), Ortolano, F. (Fabrizio), Palotie, A. (Aarno), Parizel, P.M., Patruno, A. (Adriana), Payen, J.-F. (Jean-François), Perera, N. (Natascha), Perlbarg, V. (Vincent), Persona, P. (Paolo), Peul, W. (Wilco), Pichon, N. (Nicolas), Piilgaard, H. (Henning), Piippo, A. (Anna), Floury, S.P. (Sébastien Pili), Pirinen, M. (Matti), Ples, H. (Horia), Pomposo, I. (Inigo), Psota, M. (Marek), Pullens, P. (Pim), Puybasset, L. (Louis), Ragauskas, A. (Arminas), Raj, R. (Rahul), Rambadagalla, M. (Malinka), Rehorcíková, V. (Veronika), Rhodes, J.K.J. (Jonathan K.J.), Richardson, S. (Sylvia), Ripatti, S. (Samuli), Rocka, S. (Saulius), Rodier, N. (Nicolas), Roe, C. (Cecilie), Roise, O. (Olav), Roks, C.M.A.A. (Gerwin), Romegoux, P. (Pauline), Rosand, J. (Jonathan), Rosenfeld, J. (Jeffrey), Rosenlund, C. (Christina), Rosenthal, G. (Guy), Rossaint, R. (Rolf), Rossi, S. (Sandra), Rostalski, T. (Tim), Rueckert, D. (Daniel), de Ruiz, A.F. (Arcaute Felix), Rusnák, M. (Martin), Sacchi, M. (Marco), Sahakian, B. (Barbara), Sahuquillo, J. (Juan), Sakowitz, O. (Oliver), Sala, F. (Francesca), Sanchez-Pena, P. (Paola), Sanchez-Porras, R. (Renan), Sandor, J. (Janos), Santos, E. (Edgar), Sasse, N. (Nadine), Sasu, L. (Luminita), Savo, D. (Davide), Schipper, I.B. (Inger), Schlößer, B. (Barbara), Schmidt, S. (Silke), Schneider, A. (Annette), Schoechl, H. (Herbert), Schoonman, G.G. (Guus), Rico, F.S. (Frederik Schou), Schwendenwein, E. (Elisabeth), Schöll, M. (Michael), Sir, O. (özcan), Skandsen, T. (Toril), Smakman, L. (Lidwien), Smeets, D. (Dominique), Smielewski, P. (Peter), Sorinola, A. (Abayomi), Stamatakis, E. (Emmanuel), Stanworth, S. (Simon), Stegemann, K. (Katrin), Steinbüchel, N. (Nicole), Stevens, R. (Robert), Stewart, W. (William), Sundström, N. (Nina), Synnot, A. (Anneliese), Szabó, J. (József), Söderberg, J. (Jeannette), Taccone, F.S. (Fabio), Tamás, V. (Viktória), Tanskanen, P. (Päivi), Tascu, A. (Alexandru), Taylor, M.S. (Mark Steven), Te, A.B. (Ao Braden), Tenovuo, O. (Olli), Teodorani, G. (Guido), Theadom, A. (Alice), Thomas, M. (Matt), Tibboel, D. (Dick), Tolias, C.M. (Christos M.), Tshibanda, J.-F.L. (Jean-Flory Luaba), Tudora, C.M. (Cristina Maria), Vajkoczy, P. (Peter), Valeinis, E. (Egils), Hecke, W.V. (Wim Van), Praag, D.V. (Dominique Van), Dirk, V.R. (Van Roost), Vlierberghe, E.V. (Eline Van), Vyvere, T.V. (Thijs vande), Vanhaudenhuyse, A. (Audrey), Vargiolu, A. (Alessia), Vega, E. (Emmanuel), Verheyden, J. (Jan), Vespa, P.M. (Paul M.), Vik, A. (Anne), Vilcinis, R. (Rimantas), Vizzino, G. (Giacinta), Vleggeert-Lankamp, C.L.A.M. (Carmen), Vulekovic, P. (Peter), Vámos, Z. (Zoltán), Wade, D. (Derick), Wang, K.K.W. (Kevin K.W.), Wang, L. (Lei), Wildschut, E.D. (Enno), Williams, G. (Guy), Willumsen, L. (Lisette), Wilson, A. (Adam), Wilson, L. (Lindsay), Winkler, M.K.L. (Maren K.L.), Ylén, P. (Peter), Younsi, A. (Alexander), Zaaroor, M. (Menashe), Zhang, Z. (Zhiqun), Zheng, Z. (Zelong), Zumbo, F. (Fabrizio), de Lange, S. (Stefanie), De Ruiter, G.C.W. (Godard C.W.), den Boogert, H. (Hugo), van Dijck, J. (Jeroen), Essen, T.A. (T.) van, van Heugten, C.M. (Caroline M.), Jagt, M. (Mathieu) van der, Naalt, J. (Joukje) van der, Cnossen, M.C. (Maryse), Huijben, J.A. (Jilske A.), van der Jagt, M. (Mathieu), Volovici, V. (Victor), van Essen, T. (Thomas), Polinder, S. (Suzanne), Nelson, D. (David), Ercole, A. (Ari), Stocchetti, N. (Nino), Citerio, G. (Giuseppe), Peul, W.C. (Wilco), Maas, A.I.R. (Andrew), Menon, D.K. (David ), Steyerberg, E.W. (Ewout), Lingsma, H.F. (Hester F.), Adams, H. (Hadie), Alessandro, M. (Masala), Allanson, J.E. (Judith), Amrein, K. (Krisztina), Andaluz, N. (Norberto), Andelic, N. (Nada), Andrea, N. (Nanni), Andreassen, L. (Lasse), Anke, A. (Audny), Antoni, A. (Anna), Ardon, H. (Hilko), Audibert, G. (Gérard), Auslands, K. (Kaspars), Azouvi, P. (Philippe), Baciu, C. (Camelia), Bacon, A. (Andrew), Badenes, R. (Rafael), Baglin, T. (Trevor), Bartels, R.H.M.A. (Ronald), Barzo, P. (P.), Bauerfeind, U. (Ursula), Beer, R. (Ronny), Belda, F.J. (Francisco Javier), Bellander, B.-M. (Bo-Michael), Belli, A. (Antonio), Bellier, R. (Rémy), Benali, H. (Habib), Benard, T. (Thierry), Berardino, M. (Maurizio), Beretta, L. (Luigi), Beynon, C. (Christopher), Bilotta, F. (Federico), Binder, H. (Harald), Biqiri, E. (Erta), Blaabjerg, M. (Morten), Lund, S.B. (Stine Borgen), Bouzat, P. (Pierre), Bragge, P. (Peter), Brazinova, A. (Alexandra), Brehar, F. (Felix), Brorsson, C. (Camilla), Buki, A. (Andras), Bullinger, M. (Monika), Bucková, V. (Veronika), Calappi, E. (Emiliana), Cameron, P. (Peter), Carbayo, L.G. (Lozano Guillermo), Carise, E. (Elsa), Carpenter, K.L.H. (Keri L.H.), Castaño-León, A.M. (Ana M.), Causin, F. (Francesco), Chevallard, G. (Giorgio), Chieregato, A. (Arturo), Cnossen, M. (Maryse), Coburn, M. (Mark), Coles, J.P. (Jonathan P.), Cooper, J.D. (Jamie D.), Correia, M. (Marta), Covic, A. (Amra), Curry, N. (Nicola), Czeiter, E. (Endre), Czosnyka, M. (Marek), Dahyot-Fizelier, C. (Claire), Damas, F. (François), Damas, P. (Pierre), Dawes, H. (Helen), De Keyser, V. (Véronique), Corte, F.D. (Francesco), Depreitere, B. (Bart), Ding, S. (Shenghao), Dippel, D.W.J. (Diederik), Dizdarevic, K. (Kemal), Dulière, G.-L. (Guy-Loup), Dzeko, A. (Adelaida), Eapen, G. (George), Engemann, H. (Heiko), Esser, P. (Patrick), Ezer, E. (Erzsébet), Fabricius, M. (Martin), Feigin, V.L. (V.), Feng, J. (Junfeng), Foks, K. (Kelly), Fossi, F. (Francesca), Francony, G. (Gilles), Frantzén, J. (Janek), Freo, U. (Ulderico), Frisvold, S.K. (Shirin Kordasti), Furmanov, A. (Alex), Gagliardo, P. (Pablo), Galanaud, D. (Damien), Gao, G. (Guoyi), Geleijns, K. (Karin), Ghuysen, A. (Alexandre), Giraud, B. (Benoit), Glocker, B. (Ben), Gomez, P.A. (Pedro A.), Grossi, F. (Francesca), Gruen, R.L. (Russell), Gupta, D. (Deepak), Haagsma, J.A. (Juanita), Hadzic, E. (Ermin), Haitsma, I. (Iain), Hartings, J.A. (Jed), Helbok, R. (Raimund), Helseth, E. (Eirik), Hertle, D. (Daniel), Hill, S. (Sean), Hoedemaekers, A. (Astrid), Hoefer, S. (Stefan), Hutchinson, P.J. (Peter J.), Håberg, K.A. (Kristine Asta), Jacobs, B.C. (Bart), Janciak, I. (Ivan), Janssens, K. (Koen), Jiang, J.-Y. (Ji-Yao), Jones, K. (Kelly), Kalala, J.-P. (Jean-Pierre), Kamnitsas, K. (Konstantinos), Karan, M. (Mladen), Karau, J. (Jana), Katila, A. (Ari), Kaukonen, M. (Maija), Keeling, D. (David), Kerforne, T. (Thomas), Ketharanathan, N. (Naomi), Kettunen, J. (Johannes), Kivisaari, R. (Riku), Kolias, A.G. (Angelos G.), Kolumbán, B. (Bálint), Kompanje, E.J.O. (Erwin), Kondziella, D. (Daniel), Koskinen, L.-O. (Lars-Owe), Kovács, N. (Noémi), Kalovits, F. (Ferenc), Lagares, A. (Alfonso), Lanyon, L. (Linda), Laureys, S. (Steven), Lauritzen, M. (Martin), Lecky, F.E. (Fiona), Ledig, C. (Christian), Lefering, R., Legrand, V. (Valerie), Lei, J. (Jin), Levi, L. (Leon), Lightfoot, R. (Roger), Lingsma, H.F. (Hester), Loeckx, D. (Dirk), Lozano, A. (Angels), Luddington, R. (Roger), Luijten-Arts, C. (Chantal), Maas, A.I.R. (Andrew I.R.), MacDonald, S. (Stephen), MacFayden, C. (Charles), Maegele, M. (Marc), Majdan, M. (Marek), Major, S. (Sebastian), Manara, A. (Alex), Manhes, P. (Pauline), Manley, G. (Geoffrey), Martin, D. (Didier), Martino, C. (Costanza), Maruenda, A. (Armando), Maréchal, H. (Hugues), Mastelova, D. (Dagmara), Mattern, J. (Julia), McMahon, C. (Catherine), Melegh, B. (Béla), Menon, D. (David), Menovsky, T. (Tomas), Morganti-Kossmann, C. (Cristina), Mulazzi, D. (Davide), Mutschler, M. (Manuel), Mühlan, H. (Holger), Negru, A. (Ancuta), Neugebauer, E. (Eddy), Newcombe, V.F. (Virginia F.), Noirhomme, Q. (Quentin), Nyirádi, J. (József), Oddo, M. (Mauro), Oldenbeuving, A.W., Oresic, M. (Matej), Ortolano, F. (Fabrizio), Palotie, A. (Aarno), Parizel, P.M., Patruno, A. (Adriana), Payen, J.-F. (Jean-François), Perera, N. (Natascha), Perlbarg, V. (Vincent), Persona, P. (Paolo), Peul, W. (Wilco), Pichon, N. (Nicolas), Piilgaard, H. (Henning), Piippo, A. (Anna), Floury, S.P. (Sébastien Pili), Pirinen, M. (Matti), Ples, H. (Horia), Pomposo, I. (Inigo), Psota, M. (Marek), Pullens, P. (Pim), Puybasset, L. (Louis), Ragauskas, A. (Arminas), Raj, R. (Rahul), Rambadagalla, M. (Malinka), Rehorcíková, V. (Veronika), Rhodes, J.K.J. (Jonathan K.J.), Richardson, S. (Sylvia), Ripatti, S. (Samuli), Rocka, S. (Saulius), Rodier, N. (Nicolas), Roe, C. (Cecilie), Roise, O. (Olav), Roks, C.M.A.A. (Gerwin), Romegoux, P. (Pauline), Rosand, J. (Jonathan), Rosenfeld, J. (Jeffrey), Rosenlund, C. (Christina), Rosenthal, G. (Guy), Rossaint, R. (Rolf), Rossi, S. (Sandra), Rostalski, T. (Tim), Rueckert, D. (Daniel), de Ruiz, A.F. (Arcaute Felix), Rusnák, M. (Martin), Sacchi, M. (Marco), Sahakian, B. (Barbara), Sahuquillo, J. (Juan), Sakowitz, O. (Oliver), Sala, F. (Francesca), Sanchez-Pena, P. (Paola), Sanchez-Porras, R. (Renan), Sandor, J. (Janos), Santos, E. (Edgar), Sasse, N. (Nadine), Sasu, L. (Luminita), Savo, D. (Davide), Schipper, I.B. (Inger), Schlößer, B. (Barbara), Schmidt, S. (Silke), Schneider, A. (Annette), Schoechl, H. (Herbert), Schoonman, G.G. (Guus), Rico, F.S. (Frederik Schou), Schwendenwein, E. (Elisabeth), Schöll, M. (Michael), Sir, O. (özcan), Skandsen, T. (Toril), Smakman, L. (Lidwien), Smeets, D. (Dominique), Smielewski, P. (Peter), Sorinola, A. (Abayomi), Stamatakis, E. (Emmanuel), Stanworth, S. (Simon), Stegemann, K. (Katrin), Steinbüchel, N. (Nicole), Stevens, R. (Robert), Stewart, W. (William), Sundström, N. (Nina), Synnot, A. (Anneliese), Szabó, J. (József), Söderberg, J. (Jeannette), Taccone, F.S. (Fabio), Tamás, V. (Viktória), Tanskanen, P. (Päivi), Tascu, A. (Alexandru), Taylor, M.S. (Mark Steven), Te, A.B. (Ao Braden), Tenovuo, O. (Olli), Teodorani, G. (Guido), Theadom, A. (Alice), Thomas, M. (Matt), Tibboel, D. (Dick), Tolias, C.M. (Christos M.), Tshibanda, J.-F.L. (Jean-Flory Luaba), Tudora, C.M. (Cristina Maria), Vajkoczy, P. (Peter), Valeinis, E. (Egils), Hecke, W.V. (Wim Van), Praag, D.V. (Dominique Van), Dirk, V.R. (Van Roost), Vlierberghe, E.V. (Eline Van), Vyvere, T.V. (Thijs vande), Vanhaudenhuyse, A. (Audrey), Vargiolu, A. (Alessia), Vega, E. (Emmanuel), Verheyden, J. (Jan), Vespa, P.M. (Paul M.), Vik, A. (Anne), Vilcinis, R. (Rimantas), Vizzino, G. (Giacinta), Vleggeert-Lankamp, C.L.A.M. (Carmen), Vulekovic, P. (Peter), Vámos, Z. (Zoltán), Wade, D. (Derick), Wang, K.K.W. (Kevin K.W.), Wang, L. (Lei), Wildschut, E.D. (Enno), Williams, G. (Guy), Willumsen, L. (Lisette), Wilson, A. (Adam), Wilson, L. (Lindsay), Winkler, M.K.L. (Maren K.L.), Ylén, P. (Peter), Younsi, A. (Alexander), Zaaroor, M. (Menashe), Zhang, Z. (Zhiqun), Zheng, Z. (Zelong), Zumbo, F. (Fabrizio), de Lange, S. (Stefanie), De Ruiter, G.C.W. (Godard C.W.), den Boogert, H. (Hugo), van Dijck, J. (Jeroen), Essen, T.A. (T.) van, van Heugten, C.M. (Caroline M.), Jagt, M. (Mathieu) van der, and Naalt, J. (Joukje) van der

Abstract

Background: No definitive evidence exists on how intracranial hypertension should be treated in patients with traumatic brain injury (TBI). It is therefore likely that centers and practitioners individually balance potential benefits and risks of different intracranial pressure (ICP) management strategies, resulting in practice variation. The aim of this study was to examine variation in monitoring and treatment policies for intracranial hypertension in patients with TBI. Methods: A 29-item survey on ICP monitoring and treatment was developed on the basis of literature and expert opinion, and it was pilot-tested in 16 centers. The questionnaire was sent to 68 neurotrauma centers participating in the Collaborative European Neurotrauma Effectiveness Research in Traumatic Brain Injury (CENTER-TBI) study. Results: The survey was completed by 66 centers (97% response rate). Centers were mainly academic hospitals (n=60, 91%) and designated level I trauma centers (n=44, 67%). The Brain Trauma Foundation guidelines were used in 49 (74%) centers. Approximately 90% of the participants (n=58) indicated placing an ICP monitor in patients with severe TBI and computed tomographic abnormalities. There was no consensus on other indications or on peri-insertion precautions. We found wide variation in the use of first- and second-tier treatments for elevated ICP. Approximately half of the centers were classified as using a relatively aggressive approach to ICP monitoring and treatment (n=32, 48%), whereas the others were considered more conservative (n=34, 52%). Conclusions: Substantial variation was found regarding monitoring and treatment policies in patients with TBI and intracranial hypertension. The results of this survey indicate a lack of consensus between European neurotrauma centers and provide an opportunity and necessity for comparative effectiveness research.

Published
2017
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25. Variation in structure and process of care in traumatic brain injury: Provider profiles of European Neurotrauma Centers participating in the CENTER-TBI study

Author

Cnossen, M.C. (Maryse), Polinder, S. (Suzanne), Lingsma, H.F. (Hester F.), Maas, A.I.R. (Andrew), Menon, D.K. (David ), Steyerberg, E.W. (Ewout), Adams, H. (Hadie), Alessandro, M. (Masala), Allanson, J.E. (Judith), Amrein, K. (Krisztina), Andaluz, N. (Norberto), Andelic, N. (Nada), Andrea, N. (Nanni), Andreassen, L. (Lasse), Anke, A. (Audny), Antoni, A. (Anna), Ardon, H. (Hilko), Audibert, G. (Gérard), Auslands, K. (Kaspars), Azouvi, P. (Philippe), Baciu, C. (Camelia), Bacon, A. (Andrew), Badenes, R. (Rafael), Baglin, T. (Trevor), Bartels, R. (Ronald), Barzó, P. (Pál), Bauerfeind, U. (Ursula), Beer, R. (Ronny), Belda, F.J. (Francisco Javier), Bellander, B.-M. (Bo-Michael), Belli, A. (Antonio), Bellier, R. (Rémy), Benali, H. (Habib), Benard, T. (Thierry), Berardino, M. (Maurizio), Beretta, L. (Luigi), Beynon, C. (Christopher), Bilotta, F. (Federico), Binder, H. (Harald), Biqiri, E. (Erta), Blaabjerg, M. (Morten), Borgen, L.S. (Lund Stine), Bouzat, P. (Pierre), Bragge, P. (Peter), Brazinova, A. (Alexandra), Brehar, F. (Felix), Brorsson, C. (Camilla), Buki, A. (Andras), Bullinger, M. (Monika), Bučková, V. (Veronika), Calappi, E. (Emiliana), Cameron, P. (Peter), Carbayo, L.G. (Lozano Guillermo), Carise, E. (Elsa), Carpenter, C., Castaño-León, A.M. (Ana M.), Causin, F. (Francesco), Chevallard, G. (Giorgio), Chieregato, A. (Arturo), Citerio, G. (Giuseppe), Coburn, M. (Mark), Coles, J.P. (Jonathan P.), Cooper, J.D. (Jamie D.), Correia, M. (Marta), Covic, A. (Amra), Curry, N. (Nicola), Czeiter, E. (Endre), Czosnyka, M. (Marek), Dahyot-Fizelier, C. (Claire), Damas, F. (François), Damas, P. (Pierre), Dawes, H. (Helen), De Keyser, V. (Véronique), Della Corte, F. (Francesco), Depreitere, B. (Bart), Ding, S. (Shenghao), Dippel, D.W.J. (Diederik), Dizdarevic, K. (Kemal), Dulière, G.-L. (Guy-Loup), Dzeko, A. (Adelaida), Eapen, G. (George), Engemann, H. (Heiko), Ercole, A. (Ari), Esser, P. (Patrick), Ezer, E. (Erzsébet), Fabricius, M. (Martin), Feigin, V.L. (V.), Feng, J. (Junfeng), Foks, K. (Kelly), Fossi, F. (Francesca), Francony, G. (Gilles), Frantzén, J. (Janek), Freo, U. (Ulderico), Frisvold, S.K. (Shirin Kordasti), Furmanov, A. (Alex), Gagliardo, P. (Pablo), Galanaud, D. (Damien), Gao, G. (Guoyi), Geleijns, K. (Karin), Ghuysen, A. (Alexandre), Giraud, B. (Benoit), Glocker, B. (Ben), Gomez, P.A. (Pedro A.), Grossi, F. (Francesca), Gruen, R.L. (Russell), Gupta, D. (Deepak), Haagsma, J.A. (Juanita), Hadzic, E. (Ermin), Haitsma, I. (Iain), Hartings, J.A. (Jed), Helbok, R. (Raimund), Helseth, E. (Eirik), Hertle, D. (Daniel), Hill, S. (Sean), Hoedemaekers, A. (Astrid), Hoefer, S. (Stefan), Hutchinson, P.J. (Peter J.), Håberg, A.K. (Asta Kristine), Jacobs, B.C. (Bart), Janciak, I. (Ivan), Janssens, K. (Koen), Jiang, J.-Y. (Ji-Yao), Jones, K. (Kelly), Kalala, J.-P. (Jean-Pierre), Kamnitsas, K. (Konstantinos), Karan, M. (Mladen), Karau, J. (Jana), Katila, A. (Ari), Kaukonen, M. (Maija), Keeling, D. (David), Kerforne, T. (Thomas), Ketharanathan, N. (Naomi), Kettunen, J. (Johannes), Kivisaari, R. (Riku), Kolias, A.G. (Angelos G.), Kolumbán, B. (Bálint), Kompanje, E.J.O. (Erwin), Kondziella, D. (Daniel), Koskinen, L.-O. (Lars-Owe), Kovács, N. (Noémi), Kalovits, F. (Ferenc), Lagares, A. (Alfonso), Lanyon, L. (Linda), Laureys, S. (Steven), Lauritzen, M. (Martin), Lecky, F.E. (Fiona), Ledig, C. (Christian), Lefering, R., Legrand, V. (Valerie), Lei, J. (Jin), Levi, L. (Leon), Lightfoot, R. (Roger), Lingsma, H.F. (Hester), Loeckx, D. (Dirk), Lozano, A. (Angels), Luddington, R. (Roger), Luijten-Arts, C. (Chantal), MacDonald, S. (Stephen), MacFayden, C. (Charles), Maegele, M. (Marc), Majdan, M. (Marek), Major, S. (Sebastian), Manara, A. (Alex), Manhes, P. (Pauline), Manley, G. (Geoffrey), Martin, D. (Didier), Martino, C. (Costanza), Maruenda, A. (Armando), Maréchal, H. (Hugues), Mastelova, D. (Dagmara), Mattern, J. (Julia), McMahon, C. (Catherine), Melegh, B. (Béla), Menovsky, T. (Tomas), Morganti-Kossmann, C. (Cristina), Mulazzi, D. (Davide), Mutschler, M. (Manuel), Mühlan, H. (Holger), Negru, A. (Ancuta), Nelson, D. (David), Neugebauer, E. (Eddy), Newcombe, V.F. (Virginia F.), Noirhomme, Q. (Quentin), Nyirádi, J. (József), Oddo, M. (Mauro), Oldenbeuving, A. (Annemarie), Oresic, M. (Matej), Ortolano, F. (Fabrizio), Palotie, A. (Aarno), Parizel, P.M., Patruno, A. (Adriana), Payen, J.-F. (Jean-François), Perera, N. (Natascha), Perlbarg, V. (Vincent), Persona, P. (Paolo), Peul, W.C. (Wilco), Pichon, N. (Nicolas), Piilgaard, H. (Henning), Piippo, A. (Anna), Pili, F.S. (Floury Sébastien), Pirinen, M. (Matti), Ples, H. (Horia), Pomposo, I. (Inigo), Psota, M. (Marek), Pullens, P. (Pim), Puybasset, L. (Louis), Ragauskas, A. (Arminas), Raj, R. (Rahul), Rambadagalla, M. (Malinka), Rehorčíková, V. (Veronika), Rhodes, J.K.J. (Jonathan K.J.), Richardson, S. (Sylvia), Ripatti, S. (Samuli), Rocka, S. (Saulius), Rodier, N. (Nicolas), Roe, C. (Cecilie), Roise, O. (Olav), Roks, G. (Gerwin), Romegoux, P. (Pauline), Rosand, J. (Jonathan), Rosenfeld, J. (Jeffrey), Rosenlund, C. (Christina), Rosenthal, G. (Guy), Rossaint, R. (Rolf), Rossi, S. (Sandra), Rostalski, T. (Tim), Rueckert, D.L. (Danie L.), Ruiz De Arcaute, F. (Felix), Rusnák, M. (Martin), Sacchi, M. (Marco), Sahakian, B. (Barbara), Sahuquillo, J. (Juan), Sakowitz, O. (Oliver), Sala, F. (Francesca), Sanchez-Pena, P. (Paola), Sanchez-Porras, R. (Renan), Sandor, J. (Janos), Santos, E. (Edgar), Sasse, N. (Nadine), Sasu, L. (Luminita), Savo, D. (Davide), Schipper, I.B. (Inger), Schlößer, B. (Barbara), Schmidt, S. (Silke), Schneider, A. (Annette), Schoechl, H. (Herbert), Schoonman, G.G. (Guus), Schou, R. (Rico), Schwendenwein, E. (Elisabeth), Schöll, M. (Michael), Sir, O. (Özcan), Skandsen, T. (Toril), Smakman, L. (Lidwien), Smeets, D. (Dirk), Smielewski, P. (Peter), Sorinola, A. (Abayomi), Stamatakis, E.L. (Emmanue L.), Stanworth, S. (Simon), Stegemann, K. (Katrin), Steinbüchel, N. (Nicole), Stevens, R. (Robert), Stewart, W. (William), Stocchetti, N. (Nino), Sundström, N. (Nina), Synnot, A. (Anneliese), Szabó, J. (József), Söderberg, J. (Jeannette), Taccone, F.S. (Fabio), Tamás, V. (Viktória), Tanskanen, P. (Päivi), Tascu, A. (Alexandru), Taylor, M.S. (Mark Steven), Te Ao, B. (Braden), Tenovuo, O. (Olli), Teodorani, G. (Guido), Theadom, A. (Alice), Thomas, M. (Matt), Tibboel, D. (Dick), Tolias, C.M. (Christos M.), Tshibanda, J.-F.L. (Jean-Flory Luaba), Tudora, C.M. (Cristina Maria), Vajkoczy, P. (Peter), Valeinis, E. (Egils), Hecke, W. (Wim) van, Van Praag, D. (Dominique), Van Roost, D. (Dirk), Van Vlierberghe, E. (Eline), Vande Vyvere, T. (Thijs), Vanhaudenhuyse, A. (Audrey), Vargiolu, A. (Alessia), Vega, E. (Emmanuel), Verheyden, J. (Jan), Vespa, P.M. (Paul M.), Vik, A. (Anne), Vilcinis, R. (Rimantas), Vizzino, G. (Giacinta), Vleggeert-Lankamp, C.L.A.M. (Carmen), Volovici, V. (Victor), Vulekovic, P. (Peter), Vámos, Z. (Zoltán), Wade, D. (Derick), Wang, K.K.W. (Kevin K.W.), Wang, L. (Lei), Wildschut, E. (Eno), Williams, G. (Guy), Willumsen, L. (Lisette), Wilson, A. (Adam), Wilson, L. (Lindsay), Winkler, M.K.L. (Maren K. L.), Ylén, P. (Peter), Younsi, A. (Alexander), Zaaroor, M. (Menashe), Zhang, Z. (Zhiqun), Zheng, Z. (Zelong), Zumbo, F. (Fabrizio), De Lange, S. (Stefanie), De Ruiter, G.C.W. (Godard C.W.), Den Boogert, H. (Hugo), Van Dijck, J. (Jeroen), Essen, T.A. (T.) van, van Heugten, C.M. (Caroline M.), Jagt, M. (Mathieu) van der, Naalt, J. (Joukje) van der, Cnossen, M.C. (Maryse), Polinder, S. (Suzanne), Lingsma, H.F. (Hester F.), Maas, A.I.R. (Andrew), Menon, D.K. (David ), Steyerberg, E.W. (Ewout), Adams, H. (Hadie), Alessandro, M. (Masala), Allanson, J.E. (Judith), Amrein, K. (Krisztina), Andaluz, N. (Norberto), Andelic, N. (Nada), Andrea, N. (Nanni), Andreassen, L. (Lasse), Anke, A. (Audny), Antoni, A. (Anna), Ardon, H. (Hilko), Audibert, G. (Gérard), Auslands, K. (Kaspars), Azouvi, P. (Philippe), Baciu, C. (Camelia), Bacon, A. (Andrew), Badenes, R. (Rafael), Baglin, T. (Trevor), Bartels, R. (Ronald), Barzó, P. (Pál), Bauerfeind, U. (Ursula), Beer, R. (Ronny), Belda, F.J. (Francisco Javier), Bellander, B.-M. (Bo-Michael), Belli, A. (Antonio), Bellier, R. (Rémy), Benali, H. (Habib), Benard, T. (Thierry), Berardino, M. (Maurizio), Beretta, L. (Luigi), Beynon, C. (Christopher), Bilotta, F. (Federico), Binder, H. (Harald), Biqiri, E. (Erta), Blaabjerg, M. (Morten), Borgen, L.S. (Lund Stine), Bouzat, P. (Pierre), Bragge, P. (Peter), Brazinova, A. (Alexandra), Brehar, F. (Felix), Brorsson, C. (Camilla), Buki, A. (Andras), Bullinger, M. (Monika), Bučková, V. (Veronika), Calappi, E. (Emiliana), Cameron, P. (Peter), Carbayo, L.G. (Lozano Guillermo), Carise, E. (Elsa), Carpenter, C., Castaño-León, A.M. (Ana M.), Causin, F. (Francesco), Chevallard, G. (Giorgio), Chieregato, A. (Arturo), Citerio, G. (Giuseppe), Coburn, M. (Mark), Coles, J.P. (Jonathan P.), Cooper, J.D. (Jamie D.), Correia, M. (Marta), Covic, A. (Amra), Curry, N. (Nicola), Czeiter, E. (Endre), Czosnyka, M. (Marek), Dahyot-Fizelier, C. (Claire), Damas, F. (François), Damas, P. (Pierre), Dawes, H. (Helen), De Keyser, V. (Véronique), Della Corte, F. (Francesco), Depreitere, B. (Bart), Ding, S. (Shenghao), Dippel, D.W.J. (Diederik), Dizdarevic, K. (Kemal), Dulière, G.-L. (Guy-Loup), Dzeko, A. (Adelaida), Eapen, G. (George), Engemann, H. (Heiko), Ercole, A. (Ari), Esser, P. (Patrick), Ezer, E. (Erzsébet), Fabricius, M. (Martin), Feigin, V.L. (V.), Feng, J. (Junfeng), Foks, K. (Kelly), Fossi, F. (Francesca), Francony, G. (Gilles), Frantzén, J. (Janek), Freo, U. (Ulderico), Frisvold, S.K. (Shirin Kordasti), Furmanov, A. (Alex), Gagliardo, P. (Pablo), Galanaud, D. (Damien), Gao, G. (Guoyi), Geleijns, K. (Karin), Ghuysen, A. (Alexandre), Giraud, B. (Benoit), Glocker, B. (Ben), Gomez, P.A. (Pedro A.), Grossi, F. (Francesca), Gruen, R.L. (Russell), Gupta, D. (Deepak), Haagsma, J.A. (Juanita), Hadzic, E. (Ermin), Haitsma, I. (Iain), Hartings, J.A. (Jed), Helbok, R. (Raimund), Helseth, E. (Eirik), Hertle, D. (Daniel), Hill, S. (Sean), Hoedemaekers, A. (Astrid), Hoefer, S. (Stefan), Hutchinson, P.J. (Peter J.), Håberg, A.K. (Asta Kristine), Jacobs, B.C. (Bart), Janciak, I. (Ivan), Janssens, K. (Koen), Jiang, J.-Y. (Ji-Yao), Jones, K. (Kelly), Kalala, J.-P. (Jean-Pierre), Kamnitsas, K. (Konstantinos), Karan, M. (Mladen), Karau, J. (Jana), Katila, A. (Ari), Kaukonen, M. (Maija), Keeling, D. (David), Kerforne, T. (Thomas), Ketharanathan, N. (Naomi), Kettunen, J. (Johannes), Kivisaari, R. (Riku), Kolias, A.G. (Angelos G.), Kolumbán, B. (Bálint), Kompanje, E.J.O. (Erwin), Kondziella, D. (Daniel), Koskinen, L.-O. (Lars-Owe), Kovács, N. (Noémi), Kalovits, F. (Ferenc), Lagares, A. (Alfonso), Lanyon, L. (Linda), Laureys, S. (Steven), Lauritzen, M. (Martin), Lecky, F.E. (Fiona), Ledig, C. (Christian), Lefering, R., Legrand, V. (Valerie), Lei, J. (Jin), Levi, L. (Leon), Lightfoot, R. (Roger), Lingsma, H.F. (Hester), Loeckx, D. (Dirk), Lozano, A. (Angels), Luddington, R. (Roger), Luijten-Arts, C. (Chantal), MacDonald, S. (Stephen), MacFayden, C. (Charles), Maegele, M. (Marc), Majdan, M. (Marek), Major, S. (Sebastian), Manara, A. (Alex), Manhes, P. (Pauline), Manley, G. (Geoffrey), Martin, D. (Didier), Martino, C. (Costanza), Maruenda, A. (Armando), Maréchal, H. (Hugues), Mastelova, D. (Dagmara), Mattern, J. (Julia), McMahon, C. (Catherine), Melegh, B. (Béla), Menovsky, T. (Tomas), Morganti-Kossmann, C. (Cristina), Mulazzi, D. (Davide), Mutschler, M. (Manuel), Mühlan, H. (Holger), Negru, A. (Ancuta), Nelson, D. (David), Neugebauer, E. (Eddy), Newcombe, V.F. (Virginia F.), Noirhomme, Q. (Quentin), Nyirádi, J. (József), Oddo, M. (Mauro), Oldenbeuving, A. (Annemarie), Oresic, M. (Matej), Ortolano, F. (Fabrizio), Palotie, A. (Aarno), Parizel, P.M., Patruno, A. (Adriana), Payen, J.-F. (Jean-François), Perera, N. (Natascha), Perlbarg, V. (Vincent), Persona, P. (Paolo), Peul, W.C. (Wilco), Pichon, N. (Nicolas), Piilgaard, H. (Henning), Piippo, A. (Anna), Pili, F.S. (Floury Sébastien), Pirinen, M. (Matti), Ples, H. (Horia), Pomposo, I. (Inigo), Psota, M. (Marek), Pullens, P. (Pim), Puybasset, L. (Louis), Ragauskas, A. (Arminas), Raj, R. (Rahul), Rambadagalla, M. (Malinka), Rehorčíková, V. (Veronika), Rhodes, J.K.J. (Jonathan K.J.), Richardson, S. (Sylvia), Ripatti, S. (Samuli), Rocka, S. (Saulius), Rodier, N. (Nicolas), Roe, C. (Cecilie), Roise, O. (Olav), Roks, G. (Gerwin), Romegoux, P. (Pauline), Rosand, J. (Jonathan), Rosenfeld, J. (Jeffrey), Rosenlund, C. (Christina), Rosenthal, G. (Guy), Rossaint, R. (Rolf), Rossi, S. (Sandra), Rostalski, T. (Tim), Rueckert, D.L. (Danie L.), Ruiz De Arcaute, F. (Felix), Rusnák, M. (Martin), Sacchi, M. (Marco), Sahakian, B. (Barbara), Sahuquillo, J. (Juan), Sakowitz, O. (Oliver), Sala, F. (Francesca), Sanchez-Pena, P. (Paola), Sanchez-Porras, R. (Renan), Sandor, J. (Janos), Santos, E. (Edgar), Sasse, N. (Nadine), Sasu, L. (Luminita), Savo, D. (Davide), Schipper, I.B. (Inger), Schlößer, B. (Barbara), Schmidt, S. (Silke), Schneider, A. (Annette), Schoechl, H. (Herbert), Schoonman, G.G. (Guus), Schou, R. (Rico), Schwendenwein, E. (Elisabeth), Schöll, M. (Michael), Sir, O. (Özcan), Skandsen, T. (Toril), Smakman, L. (Lidwien), Smeets, D. (Dirk), Smielewski, P. (Peter), Sorinola, A. (Abayomi), Stamatakis, E.L. (Emmanue L.), Stanworth, S. (Simon), Stegemann, K. (Katrin), Steinbüchel, N. (Nicole), Stevens, R. (Robert), Stewart, W. (William), Stocchetti, N. (Nino), Sundström, N. (Nina), Synnot, A. (Anneliese), Szabó, J. (József), Söderberg, J. (Jeannette), Taccone, F.S. (Fabio), Tamás, V. (Viktória), Tanskanen, P. (Päivi), Tascu, A. (Alexandru), Taylor, M.S. (Mark Steven), Te Ao, B. (Braden), Tenovuo, O. (Olli), Teodorani, G. (Guido), Theadom, A. (Alice), Thomas, M. (Matt), Tibboel, D. (Dick), Tolias, C.M. (Christos M.), Tshibanda, J.-F.L. (Jean-Flory Luaba), Tudora, C.M. (Cristina Maria), Vajkoczy, P. (Peter), Valeinis, E. (Egils), Hecke, W. (Wim) van, Van Praag, D. (Dominique), Van Roost, D. (Dirk), Van Vlierberghe, E. (Eline), Vande Vyvere, T. (Thijs), Vanhaudenhuyse, A. (Audrey), Vargiolu, A. (Alessia), Vega, E. (Emmanuel), Verheyden, J. (Jan), Vespa, P.M. (Paul M.), Vik, A. (Anne), Vilcinis, R. (Rimantas), Vizzino, G. (Giacinta), Vleggeert-Lankamp, C.L.A.M. (Carmen), Volovici, V. (Victor), Vulekovic, P. (Peter), Vámos, Z. (Zoltán), Wade, D. (Derick), Wang, K.K.W. (Kevin K.W.), Wang, L. (Lei), Wildschut, E. (Eno), Williams, G. (Guy), Willumsen, L. (Lisette), Wilson, A. (Adam), Wilson, L. (Lindsay), Winkler, M.K.L. (Maren K. L.), Ylén, P. (Peter), Younsi, A. (Alexander), Zaaroor, M. (Menashe), Zhang, Z. (Zhiqun), Zheng, Z. (Zelong), Zumbo, F. (Fabrizio), De Lange, S. (Stefanie), De Ruiter, G.C.W. (Godard C.W.), Den Boogert, H. (Hugo), Van Dijck, J. (Jeroen), Essen, T.A. (T.) van, van Heugten, C.M. (Caroline M.), Jagt, M. (Mathieu) van der, and Naalt, J. (Joukje) van der

Abstract

Introduction: The strength of evidence underpinning care and treatment recommendations in traumatic brain injury (TBI) is low. Comparative effectiveness research (CER) has been proposed as a framework to provide evidence for optimal care for TBI patients. The first step in CER is to map the existing variation. The aim of current study is to quantify variation in general structural and process characteristics among centers participating in the Collaborative European NeuroTrauma Effectiveness Research in Traumatic Brain Injury (CENTER-TBI) study. Methods: We designed a set of 11 provider profiling questionnaires with 321 questions about various aspects of TBI care, chosen based on literature and expert opinion. After pilot testing, questionnaires were disseminated to 71 centers from 20 countries participating in the CENTER-TBI study. Reliability of questionnaires was estimated by calculating a concordance rate among 5% duplicate questions. Results: All 71 centers completed the questionnaires. Median concordance rate among duplicate questions was 0.85. The majority of centers were academic hospitals (n = 65, 92%), designated as a level I trauma center (n = 48, 68%) and situated in an urban location (n = 70, 99%). The availability of facilities for neuro-trauma care varied across centers; e.g. 40 (57%) had a dedicated neuro-intensive care unit (ICU), 36 (51%) had an in-hospital rehabilitation unit and the organization of the ICU was closed in 64% (n = 45) of the centers. In addition, we found wide variation in processes of care, such as the ICU admission policy and intracranial pressure monitoring policy among centers. Conclusion: Even among high-volume, specialized neurotrauma centers there is substantial variation in structures and processes of TBI care. This variation provides an opportunity to study effectiveness of specific aspects of TBI care and to identify best practices with CER approaches.

Published
2016
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27. When Good Doctors Go Bad

Author

Castronuovo, John J., primary, Cossman, David V., additional, Goldberg, Larry P., additional, Gordon, Leo A., additional, Korwin, Stephen, additional, Ledig, C Bruce, additional, Lepore, Timothy J., additional, Morgan, Elizabeth, additional, Petry, Judith J., additional, Rosenthal, David, additional, Scarpato, Robert, additional, and Silberman, Allan W., additional

Published
2008
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28. Prophylactic Interruption of the Inferior Vena Cava: Immediate and Long-term Hemodynamic Effects

Author

Korwin, Stephen M., Callow, Allan D., Rosenthal, David, Ledig, C. Bruce, Deterling, Ralph A., and O'Donnell, Thomas F.

Abstract

• Two hundred patients were evaluated retrospectively to determine the clinical effects of prophylactic inferior vena cava (IVC) interruption in association with aortic reconstruction. No pulmonary embolism occurred in the group with IVC interruption, but embolisms did occur in seven of 68 patients who had aortic reconstruction performed without IVC interruption. In two patients, the pulmonary embolism was fatal. Postoperative incidence of deep vein thrombosis was 9% in both groups. Clinical and hemodynamic effects of prophylactic IVC interruption were studied in 20 additional patients. Venous hemodynamics (maximum venous outflow, inferior vena cava pressure, and ambulatory venous pressure) showed no change following interruption in 19/20. Sixteen patients from the original group of patients with prophylactic interruption were studied hemodynamically. No pulmonary embolism was clinically evident. One new case of deep vein thrombosis was seen. Again, venous hemodynamics showed no change as a result of IVC interruption. Prophylactic IVC interruption is a safe means of decreasing the incidence of pulmonary embolism without increasing venous-related morbidity.(Arch Surg 114:1037-1040, 1979)

Published
1979
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29. Results of Carotid Endarterectomy for Vertebrobasilar Insufficiency: An Evaluation Over Ten Years

Author

Rosenthal, David, Cossman, David, Ledig, C. Bruce, and Callow, Allan D.

Abstract

• A review was performed of 114 patients with symptoms of vertebrobasilar insufficiency (VBI) alone, or in combination with carotid territory transient ischemic attacks or carotid territory completed stroke (cCS) with follow-up extending to ten years. The most frequent symptoms of VBI were visual changes (50%), dizziness (31%), and syncope (30%). Patients with symptoms of VBI and arteriographic evidence of intracranial disease, regardless of stump pressure, are at high risk for cerebral ischemia during endarterectomy. At late follow-up, ranging from one to ten years, 63% of the patients were alive; 88% were asymptomatic. Causes of death were mainly cardiac (44%)and stroke (36%), but patients with symptoms of VBI and cCS died earlier and from a second cerebrovascular accident. When a correct preoperative diagnosis was established, carotid endarterectomy produced relief of symptoms in 90% of the patients.(Arch Surg 113:1361-1364, 1978)

Published
1978
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33. Variation in monitoring and treatment policies for intracranial hypertension in traumatic brain injury

Author

Cnossen, Maryse C., Huijben, Jilske A., van der Jagt, Mathieu, Volovici, Victor, van Essen, Thomas, Polinder, Suzanne, Nelson, David, Ercole, Ari, Stocchetti, Nino, Citerio, Giuseppe, Peul, Wilco C., Maas, Andrew I. R., Menon, David, Steyerberg, Ewout W., Lingsma, Hester F., Adams, Hadie, Alessandro, Masala, Allanson, Judith, Amrein, Krisztina, Andaluz, Norberto, Andelic, Nada, Andrea, Nanni, Andreassen, Lasse, Anke, Audny, Antoni, Anna, Ardon, Hilko, Audibert, Gérard, Auslands, Kaspars, Azouvi, Philippe, Baciu, Camelia, Bacon, Andrew, Badenes, Rafael, Baglin, Trevor, Bartels, Ronald, Barzó, Pál, Bauerfeind, Ursula, Beer, Ronny, Belda, Francisco Javier, Bellander, Bo-Michael, Belli, Antonio, Bellier, Rémy, Benali, Habib, Benard, Thierry, Berardino, Maurizio, Beretta, Luigi, Beynon, Christopher, Bilotta, Federico, Binder, Harald, Biqiri, Erta, Blaabjerg, Morten, Lund, Stine Borgen, Bouzat, Pierre, Bragge, Peter, Brazinova, Alexandra, Brehar, Felix, Brorsson, Camilla, Buki, Andras, Bullinger, Monika, Bucková, Veronika, Calappi, Emiliana, Cameron, Peter, Carbayo, Lozano Guillermo, Carise, Elsa, Carpenter, Keri, Castaño-León, Ana M., Causin, Francesco, Chevallard, Giorgio, Chieregato, Arturo, Cooper, M., Coburn, Mark, Coles, Jonathan, Cooper, Jamie D., Correia, Marta, Covic, Amra, Curry, Nicola, Czeiter, Endre, Czosnyka, Marek, Dahyot-Fizelier, Claire, Damas, François, Damas, Pierre, Dawes, Helen, De Keyser, Véronique, Corte, Francesco Della, Depreitere, Bart, Ding, Shenghao, Dippel, Diederik, Dizdarevic, Kemal, Dulière, Guy-Loup, Dzeko, Adelaida, Eapen, George, Engemann, Heiko, Esser, Patrick, Ezer, Erzsébet, Fabricius, Martin, Feigin, Valery L., Feng, Junfeng, Foks, Kelly, Fossi, Francesca, Francony, Gilles, Frantzén, Janek, Freo, Ulderico, Frisvold, Shirin, Furmanov, Alex, Gagliardo, Pablo, Galanaud, Damien, Gao, Guoyi, Geleijns, Karin, Ghuysen, Alexandre, Giraud, Benoit, Glocker, Ben, Gomez, Pedro A., Grossi, Francesca, Gruen, Russell L., Gupta, Deepak, Haagsma, Juanita A., Hadzic, Ermin, Haitsma, Iain, Hartings, Jed A., Helbok, Raimund, Helseth, Eirik, Hertle, Daniel, Hill, Sean, Hoedemaekers, Astrid, Hoefer, Stefan, Hutchinson, Peter J., Håberg, Kristine Asta, Jacobs, Bram, Janciak, Ivan, Janssens, Koen, Jiang, Ji-Yao, Jones, Kelly, Kalala, Jean-Pierre, Kamnitsas, Konstantinos, Karan, Mladen, Karau, Jana, Katila, Ari, Kaukonen, Maija, Keeling, David, Kerforne, Thomas, Ketharanathan, Naomi, Kettunen, Johannes, Kivisaari, Riku, Kolias, Angelos G., Kolumbán, Bálint, Kompanje, Erwin, Kondziella, Daniel, Koskinen, Lars-Owe, Kovács, Noémi, Kálovits, Ferenc, Lagares, Alfonso, Lanyon, Linda, Laureys, Steven, Lauritzen, Martin, Lecky, Fiona, Ledig, Christian, Lefering, Rolf, Legrand, Valerie, Lei, Jin, Levi, Leon, Lightfoot, Roger, Loeckx, Dirk, Lozano, Angels, Luddington, Roger, Luijten-Arts, Chantal, Macdonald, Stephen, Macfayden, Charles, Maegele, Marc, Majdan, Marek, Major, Sebastian, Manara, Alex, Manhes, Pauline, Manley, Geoffrey, Martin, Didier, Martino, Costanza, Maruenda, Armando, Maréchal, Hugues, Mastelova, Dagmara, Mattern, Julia, Mcmahon, Catherine, Melegh, Béla, Menovsky, Tomas, Morganti-Kossmann, Cristina, Mulazzi, Davide, Mutschler, Manuel, Mühlan, Holger, Negru, Ancuta, Neugebauer, Eddy, Newcombe, Virginia, Noirhomme, Quentin, Nyirádi, József, Oddo, Mauro, Oldenbeuving, Annemarie, Oresic, Matej, Ortolano, Fabrizio, Palotie, Aarno, Parizel, Paul M., Patruno, Adriana, Payen, Jean-François, Perera, Natascha, Perlbarg, Vincent, Persona, Paolo, Pichon, Nicolas, Piilgaard, Henning, Piippo, Anna, Floury, Sébastien Pili, Pirinen, Matti, Ples, Horia, Pomposo, Inigo, Psota, Marek, Pullens, Pim, Puybasset, Louis, Ragauskas, Arminas, Raj, Rahul, Rambadagalla, Malinka, Rehorcíková, Veronika, Rhodes, Jonathan, Richardson, Sylvia, Ripatti, Samuli, Rocka, Saulius, Rodier, Nicolas, Roe, Cecilie, Roise, Olav, Roks, Gerwin, Romegoux, Pauline, Rosand, Jonathan, Rosenfeld, Jeffrey, Rosenlund, Christina, Rosenthal, Guy, Rossaint, Rolf, Rossi, Sandra, Rostalski, Tim, Rueckert, Daniel, de Ruiz, Arcaute Felix, Rusnák, Martin, Sacchi, Marco, Sahakian, Barbara, Sahuquillo, Juan, Sakowitz, Oliver, Sala, Francesca, Sanchez-Pena, Paola, Sanchez-Porras, Renan, Sandor, Janos, Santos, Edgar, Sasse, Nadine, Sasu, Luminita, Savo, Davide, Schipper, Inger, Schlößer, Barbara, Schmidt, Silke, Schneider, Annette, Schoechl, Herbert, Schoonman, Guus, Rico, Frederik Schou, Schwendenwein, Elisabeth, Schöll, Michael, Sir, Özcan, Skandsen, Toril, Smakman, Lidwien, Smeets, Dirk, Smielewski, Peter, Sorinola, Abayomi, Stamatakis, Emmanuel, Stanworth, Simon, Stegemann, Katrin, Steinbüchel, Nicole, Stevens, Robert, Stewart, William, Sundström, Nina, Synnot, Anneliese, Szabó, József, Söderberg, Jeannette, Taccone, Fabio Silvio, Tamás, Viktória, Tanskanen, Päivi, Tascu, Alexandru, Taylor, Mark Steven, Ao Braden, Te, Tenovuo, Olli, Teodorani, Guido, Theadom, Alice, Thomas, Matt, Tibboel, Dick, Tolias, Christos, Tshibanda, Jean-Flory Luaba, Tudora, Cristina Maria, Vajkoczy, Peter, Valeinis, Egils, Hecke, Wim Van, Praag, Dominique Van, Dirk, Van Roost, Vlierberghe, Eline Van, Vyvere, Thijs vande, Vanhaudenhuyse, Audrey, Vargiolu, Alessia, Vega, Emmanuel, Verheyden, Jan, Vespa, Paul M., Vik, Anne, Vilcinis, Rimantas, Vizzino, Giacinta, Vleggeert-Lankamp, Carmen, Vulekovic, Peter, Vámos, Zoltán, Wade, Derick, Wang, Kevin K. W., Wang, Lei, Wildschut, Eno, Williams, Guy, Willumsen, Lisette, Wilson, Adam, Wilson, Lindsay, Winkler, Maren K. L., Ylén, Peter, Younsi, Alexander, Zaaroor, Menashe, Zhang, Zhiqun, Zheng, Zelong, Zumbo, Fabrizio, de Lange, Stefanie, de Ruiter, Godard C. W., den Boogert, Hugo, van Dijck, Jeroen, van Heugten, Caroline, van der Naalt, Joukje, Cnossen, Maryse C., Huijben, Jilske A., Van der Jagt, Mathieu, Volovici, Victor, Van Essen, Thoma, Polinder, Suzanne, Nelson, David, Ercole, Ari, Stocchetti, Nino, Citerio, Giuseppe, Peul, Wilco C., Maas, Andrew I. R., Menon, David, Steyerberg, Ewout W., Lingsma, Hester F., on behalf of the CENTER-TBI, Investigator, Beretta, Luigi, Cnossen, M, Huijben, J, van der Jagt, M, Volovici, V, van Essen, T, Polinder, S, Nelson, D, Ercole, A, Stocchetti, N, Citerio, G, Peul, W, Maas, A, Menon, D, Steyerberg, E, Lingsma, H, Molecular Neuroscience and Ageing Research (MOLAR), Psychiatrie & Neuropsychologie, RS: MHeNs - R1 - Cognitive Neuropsychiatry and Clinical Neuroscience, Commission of the European Communities, CENTER-TBI Investigators, Medical Informatics, Public and occupational health, Ragauskas, Arminas, Ročka, Saulius, Vilcinis, Rimantas, Public Health, Intensive Care, Neurosurgery, CENTER-TBI investigators, Adams, H., Alessandro, M., Allanson, J., Amrein, K., Andaluz, N., Andelic, N., Andrea, N., Andreassen, L., Anke, A., Antoni, A., Ardon, H., Audibert, G., Auslands, K., Azouvi, P., Baciu, C., Bacon, A., Badenes, R., Baglin, T., Bartels, R., Barzó, P., Bauerfeind, U., Beer, R., Belda, F.J., Bellander, B.M., Belli, A., Bellier, R., Benali, H., Benard, T., Berardino, M., Beretta, L., Beynon, C., Bilotta, F., Binder, H., Biqiri, E., Blaabjerg, M., Borgen, L.S., Bouzat, P., Bragge, P., Brazinova, A., Brehar, F., Brorsson, C., Buki, A., Bullinger, M., Bučková, V., Calappi, E., Cameron, P., Lozano, G.C., Carise, E., Carpenter, K., Castaño-León, A.M., Causin, F., Chevallard, G., Chieregato, A., Citerio, G., Cnossen, M., Coburn, M., Coles, J., Cooper, J.D., Correia, M., Covic, A., Curry, N., Czeiter, E., Czosnyka, M., Dahyot-Fizelier, C., Damas, F., Damas, P., Dawes, H., De Keyser, V., Corte, F.D., Depreitere, B., Ding, S., Dippel, D., Dizdarevic, K., Dulière, G.L., Dzeko, A., Eapen, G., Engemann, H., Ercole, A., Esser, P., Ezer, E., Fabricius, M., Feigin, V.L., Feng, J., Foks, K., Fossi, F., Francony, G., Frantzén, J., Freo, U., Frisvold, S., Furmanov, A., Gagliardo, P., Galanaud, D., Gao, G., Geleijns, K., Ghuysen, A., Giraud, B., Glocker, B., Gomez, P.A., Grossi, F., Gruen, R.L., Gupta, D., Haagsma, J.A., Hadzic, E., Haitsma, I., Hartings, J.A., Helbok, R., Helseth, E., Hertle, D., Hill, S., Hoedemaekers, A., Hoefer, S., Hutchinson, P.J., Håberg, A.K., Jacobs, B., Janciak, I., Janssens, K., Jiang, J.Y., Jones, K., Kalala, J.P., Kamnitsas, K., Karan, M., Karau, J., Katila, A., Kaukonen, M., Keeling, D., Kerforne, T., Ketharanathan, N., Kettunen, J., Kivisaari, R., Kolias, A.G., Kolumbán, B., Kompanje, E., Kondziella, D., Koskinen, L.O., Kovács, N., Kálovits, F., Lagares, A., Lanyon, L., Laureys, S., Lauritzen, M., Lecky, F., Ledig, C., Lefering, R., Legrand, V., Lei, J., Levi, L., Lightfoot, R., Lingsma, H., Loeckx, D., Lozano, A., Luddington, R., Luijten-Arts, C., Andrew, IRM, MacDonald, S., MacFayden, C., Maegele, M., Majdan, M., Major, S., Manara, A., Manhes, P., Manley, G., Martin, D., Martino, C., Maruenda, A., Maréchal, H., Mastelova, D., Mattern, J., McMahon, C., Melegh, B., Menon, D., Menovsky, T., Morganti-Kossmann, C., Mulazzi, D., Mutschler, M., Mühlan, H., Negru, A., Nelson, D., Neugebauer, E., Newcombe, V., Noirhomme, Q., Nyirádi, J., Oddo, M., Oldenbeuving, A., Oresic, M., Ortolano, F., Palotie, A., Parizel, P.M., Patruno, A., Payen, J.F., Perera, N., Perlbarg, V., Persona, P., Peul, W., Pichon, N., Piilgaard, H., Piippo, A., Floury, S.P., Pirinen, M., Ples, H., Polinder, S., Pomposo, I., Psota, M., Pullens, P., Puybasset, L., Ragauskas, A., Raj, R., Rambadagalla, M., Rehorčíková, V., Rhodes, J., Richardson, S., Ripatti, S., Rocka, S., Rodier, N., Roe, C., Roise, O., Roks, G., Romegoux, P., Rosand, J., Rosenfeld, J., Rosenlund, C., Rosenthal, G., Rossaint, R., Rossi, S., Rostalski, T., Rueckert, D., de Arcaute, F.R., Rusnák, M., Sacchi, M., Sahakian, B., Sahuquillo, J., Sakowitz, O., Sala, F., Sanchez-Pena, P., Sanchez-Porras, R., Sandor, J., Santos, E., Sasse, N., Sasu, L., Savo, D., Schipper, I., Schlößer, B., Schmidt, S., Schneider, A., Schoechl, H., Schoonman, G., Schou, R.F., Schwendenwein, E., Schöll, M., Sir, Ö., Skandsen, T., Smakman, L., Smeets, D., Smielewski, P., Sorinola, A., Stamatakis, E., Stanworth, S., Stegemann, K., Steinbüchel, N., Stevens, R., Stewart, W., Steyerberg, E.W., Stocchetti, N., Sundström, N., Synnot, A., Szabó, J., Söderberg, J., Taccone, F.S., Tamás, V., Tanskanen, P., Tascu, A., Taylor, M.S., Te Ao, B., Tenovuo, O., Teodorani, G., Theadom, A., Thomas, M., Tibboel, D., Tolias, C., Tshibanda, J.L., Tudora, C.M., Vajkoczy, P., Valeinis, E., Van Hecke, W., Van Praag, D., Van Roost, D., Van Vlierberghe, E., Vyvere, T.V., Vanhaudenhuyse, A., Vargiolu, A., Vega, E., Verheyden, J., Vespa, P.M., Vik, A., Vilcinis, R., Vizzino, G., Vleggeert-Lankamp, C., Volovici, V., Vulekovic, P., Vámos, Z., Wade, D., Wang, KKW, Wang, L., Wildschut, E., Williams, G., Willumsen, L., Wilson, A., Wilson, L., Winkler, MKL, Ylén, P., Younsi, A., Zaaroor, M., Zhang, Z., Zheng, Z., Zumbo, F., de Lange, S., de Ruiter, GCW, den Boogert, H., van Dijck, J., van Essen, T.A., van Heugten, C., van der Jagt, M., van der Naalt, J., Rocka, Saulius, „Springer' grupė, Apollo - University of Cambridge Repository, Centre of Excellence in Complex Disease Genetics, Department of Mathematics and Statistics, Institute for Molecular Medicine Finland, Biostatistics Helsinki, Aarno Palotie / Principal Investigator, University of Helsinki, Neurokirurgian yksikkö, Clinicum, Samuli Olli Ripatti / Principal Investigator, Complex Disease Genetics, Genomics of Neurological and Neuropsychiatric Disorders, and Statistical and population genetics

Subjects
Neurology, Letter, IMPACT, Critical Care and Intensive Care Medicine, Intracranial hypertension, 0302 clinical medicine, Traumatic brain injury, Clinical Protocols, Trauma Centers, Surveys and Questionnaires, Brain Injuries, Traumatic, Medicine and Health Sciences, Longitudinal Studies, Prospective Studies, Prospective cohort study, Comparative effectiveness research, Survey, Comparative, effectiveness research, Intracranial pressure, Response rate (survey), Medicine (all), Head injury, lcsh:Medical emergencies. Critical care. Intensive care. First aid, 11 Medical And Health Sciences, Orvostudományok, 3. Good health, Europe, Neurosurgery, medicine.medical_specialty, Critical Care, Other Research Radboud Institute for Molecular Life Sciences [Radboudumc 0], PRESSURE, Klinikai orvostudományok, Healthcare improvement science Radboud Institute for Health Sciences [Radboudumc 18], 03 medical and health sciences, ICP, ICU, medicine, MANAGEMENT, Humans, Monitoring, Physiologic, business.industry, MORTALITY, Research, 3112 Neurosciences, HEAD-INJURY, 030208 emergency & critical care medicine, lcsh:RC86-88.9, CARE, medicine.disease, Emergency & Critical Care Medicine, nervous system diseases, traumatic brain injury, comparative effectiveness research, survey, Emergency medicine, Physical therapy, Dentistry (all), MODERATE, Human medicine, business, 030217 neurology & neurosurgery, EUROPEAN-BRAIN
Abstract

Background No definitive evidence exists on how intracranial hypertension should be treated in patients with traumatic brain injury (TBI). It is therefore likely that centers and practitioners individually balance potential benefits and risks of different intracranial pressure (ICP) management strategies, resulting in practice variation. The aim of this study was to examine variation in monitoring and treatment policies for intracranial hypertension in patients with TBI. Methods A 29-item survey on ICP monitoring and treatment was developed on the basis of literature and expert opinion, and it was pilot-tested in 16 centers. The questionnaire was sent to 68 neurotrauma centers participating in the Collaborative European Neurotrauma Effectiveness Research in Traumatic Brain Injury (CENTER-TBI) study. Results The survey was completed by 66 centers (97% response rate). Centers were mainly academic hospitals (n = 60, 91%) and designated level I trauma centers (n = 44, 67%). The Brain Trauma Foundation guidelines were used in 49 (74%) centers. Approximately 90% of the participants (n = 58) indicated placing an ICP monitor in patients with severe TBI and computed tomographic abnormalities. There was no consensus on other indications or on peri-insertion precautions. We found wide variation in the use of first- and second-tier treatments for elevated ICP. Approximately half of the centers were classified as using a relatively aggressive approach to ICP monitoring and treatment (n = 32, 48%), whereas the others were considered more conservative (n = 34, 52%). Conclusions Substantial variation was found regarding monitoring and treatment policies in patients with TBI and intracranial hypertension. The results of this survey indicate a lack of consensus between European neurotrauma centers and provide an opportunity and necessity for comparative effectiveness research. Electronic supplementary material The online version of this article (doi:10.1186/s13054-017-1816-9) contains supplementary material, which is available to authorized users.

Published
2017
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34. Incorporating label uncertainty during the training of convolutional neural networks improves performance for the discrimination between certain and inconclusive cases in dopamine transporter SPECT.

Author

Kucerenko A, Buddenkotte T, Apostolova I, Klutmann S, Ledig C, and Buchert R

Abstract

Purpose: Deep convolutional neural networks (CNN) hold promise for assisting the interpretation of dopamine transporter (DAT)-SPECT. For improved communication of uncertainty to the user it is crucial to reliably discriminate certain from inconclusive cases that might be misclassified by strict application of a predefined decision threshold on the CNN output. This study tested two methods to incorporate existing label uncertainty during the training to improve the utility of the CNN sigmoid output for this task., Methods: Three datasets were used retrospectively: a "development" dataset (n = 1740) for CNN training, validation and testing, two independent out-of-distribution datasets (n = 640, 645) for testing only. In the development dataset, binary classification based on visual inspection was performed carefully by three well-trained readers. A ResNet-18 architecture was trained for binary classification of DAT-SPECT using either a randomly selected vote ("random vote training", RVT), the proportion of "reduced" votes ( "average vote training", AVT) or the majority vote (MVT) across the three readers as reference standard. Balanced accuracy was computed separately for "inconclusive" sigmoid outputs (within a predefined interval around the 0.5 decision threshold) and for "certain" (non-inconclusive) sigmoid outputs., Results: The proportion of "inconclusive" test cases that had to be accepted to achieve a given balanced accuracy in the "certain" test case was lower with RVT and AVT than with MVT in all datasets (e.g., 1.9% and 1.2% versus 2.8% for 98% balanced accuracy in "certain" test cases from the development dataset). In addition, RVT and AVT resulted in slightly higher balanced accuracy in all test cases independent of their certainty (97.3% and 97.5% versus 97.0% in the development dataset)., Conclusion: Making between-readers-discrepancy known to CNN during the training improves the utility of their sigmoid output to discriminate certain from inconclusive cases that might be misclassified by the CNN when the predefined decision threshold is strictly applied. This does not compromise on overall accuracy., Competing Interests: Declarations. Ethics approval and consent to participate: Waiver of informed consent for the retrospective analysis of the clinical samples (development dataset, MPH dataset) was obtained from the ethics review board of the general medical council of the state of Hamburg, Germany. All procedures performed in this study were in accordance with the ethical standards of the ethics review board of the general medical council of the state of Hamburg, Germany, and with the 1964 Helsinki declaration and its later amendments. Competing interests: The authors have no relevant financial or non-financial interests to disclose., (© 2024. The Author(s).)

Published
2024
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35. Assessment of a deep-learning system for fracture detection in musculoskeletal radiographs.

Author

Jones RM, Sharma A, Hotchkiss R, Sperling JW, Hamburger J, Ledig C, O'Toole R, Gardner M, Venkatesh S, Roberts MM, Sauvestre R, Shatkhin M, Gupta A, Chopra S, Kumaravel M, Daluiski A, Plogger W, Nascone J, Potter HG, and Lindsey RV

Abstract

Missed fractures are the most common diagnostic error in emergency departments and can lead to treatment delays and long-term disability. Here we show through a multi-site study that a deep-learning system can accurately identify fractures throughout the adult musculoskeletal system. This approach may have the potential to reduce future diagnostic errors in radiograph interpretation., Competing Interests: Competing interestsThe authors declare the following financial competing interest: financial support for the research was provided by Imagen Technologies, Inc. R.V.L., J.H., R.M.J., S.V., A.S., R.S., M.S., A.G., S.C., W.P., and C.L. are employees of Imagen Technologies, Inc. All authors are shareholders at Imagen Technologies, Inc. The authors declare that there are no non-financial competing interests., (© The Author(s) 2020.)

Published
2020
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36. Volume Change in Frontal Cholinergic Structures After Traumatic Brain Injury and Cognitive Outcome.

Author

Östberg A, Ledig C, Katila A, Maanpää HR, Posti JP, Takala R, Tallus J, Glocker B, Rueckert D, and Tenovuo O

Abstract

The cholinergic nuclei in the basal forebrain innervate frontal cortical structures regulating attention. Our aim was to investigate if cognitive test results measuring attention relate to the longitudinal volume change of cholinergically innervated structures following traumatic brain injury (TBI). During the prospective, observational TBIcare project patients with all severities of TBI ( n = 114) and controls with acute orthopedic injuries ( n = 17) were recruited. Head MRI was obtained in both acute (mean 2 weeks post-injury) and late (mean 8 months) time points. T1-weighted 3D MR images were analyzed with an automatic segmentation method to evaluate longitudinal, structural brain volume change. The cognitive outcome was assessed with the Cambridge Neuropsychological Test Automated Battery (CANTAB). Analyses included 16 frontal cortical structures, of which four showed a significant correlation between post-traumatic volume change and the CANTAB test results. The strongest correlation was found between the volume loss of the supplementary motor cortex and motor screening task results (R-sq 0.16, p < 0.0001), where poorer test results correlated with greater atrophy. Of the measured sum structures, greater cortical gray matter atrophy rate showed a significant correlation with the poorer CANTAB test results. TBI caused volume loss of frontal cortical structures that are heavily innervated by cholinergic neurons is associated with neuropsychological test results measuring attention., (Copyright © 2020 Östberg, Ledig, Katila, Maanpää, Posti, Takala, Tallus, Glocker, Rueckert and Tenovuo.)

Published
2020
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37. Explainable Anatomical Shape Analysis Through Deep Hierarchical Generative Models.

Author

Biffi C, Cerrolaza JJ, Tarroni G, Bai W, de Marvao A, Oktay O, Ledig C, Le Folgoc L, Kamnitsas K, Doumou G, Duan J, Prasad SK, Cook SA, O'Regan DP, and Rueckert D

Subjects
Hippocampus, Humans, Alzheimer Disease diagnostic imaging, Magnetic Resonance Imaging
Abstract

Quantification of anatomical shape changes currently relies on scalar global indexes which are largely insensitive to regional or asymmetric modifications. Accurate assessment of pathology-driven anatomical remodeling is a crucial step for the diagnosis and treatment of many conditions. Deep learning approaches have recently achieved wide success in the analysis of medical images, but they lack interpretability in the feature extraction and decision processes. In this work, we propose a new interpretable deep learning model for shape analysis. In particular, we exploit deep generative networks to model a population of anatomical segmentations through a hierarchy of conditional latent variables. At the highest level of this hierarchy, a two-dimensional latent space is simultaneously optimised to discriminate distinct clinical conditions, enabling the direct visualisation of the classification space. Moreover, the anatomical variability encoded by this discriminative latent space can be visualised in the segmentation space thanks to the generative properties of the model, making the classification task transparent. This approach yielded high accuracy in the categorisation of healthy and remodelled left ventricles when tested on unseen segmentations from our own multi-centre dataset as well as in an external validation set, and on hippocampi from healthy controls and patients with Alzheimer's disease when tested on ADNI data. More importantly, it enabled the visualisation in three-dimensions of both global and regional anatomical features which better discriminate between the conditions under exam. The proposed approach scales effectively to large populations, facilitating high-throughput analysis of normal anatomy and pathology in large-scale studies of volumetric imaging.

Published
2020
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38. Integrative Analysis of Circulating Metabolite Profiles and Magnetic Resonance Imaging Metrics in Patients with Traumatic Brain Injury.

Author

Thomas I, Dickens AM, Posti JP, Mohammadian M, Ledig C, Takala RSK, Hyötyläinen T, Tenovuo O, and Orešič M

Subjects
Adult, Aged, Benchmarking, Brain Injuries, Traumatic diagnostic imaging, Female, Humans, Logistic Models, Machine Learning, Magnetic Resonance Imaging, Male, Mass Spectrometry, Metabolome, Middle Aged, Prospective Studies, ROC Curve, Biomarkers blood, Brain Injuries, Traumatic blood, Brain Injuries, Traumatic pathology, Butyrates blood, Inositol blood, Metabolomics methods, Neurofilament Proteins blood
Abstract

Recent evidence suggests that patients with traumatic brain injuries (TBIs) have a distinct circulating metabolic profile. However, it is unclear if this metabolomic profile corresponds to changes in brain morphology as observed by magnetic resonance imaging (MRI). The aim of this study was to explore how circulating serum metabolites, following TBI, relate to structural MRI (sMRI) findings. Serum samples were collected upon admission to the emergency department from patients suffering from acute TBI and metabolites were measured using mass spectrometry-based metabolomics. Most of these patients sustained a mild TBI. In the same patients, sMRIs were taken and volumetric data were extracted (138 metrics). From a pool of 203 eligible screened patients, 96 met the inclusion criteria for this study. Metabolites were summarized as eight clusters and sMRI data were reduced to 15 independent components (ICs). Partial correlation analysis showed that four metabolite clusters had significant associations with specific ICs, reflecting both the grey and white matter brain injury. Multiple machine learning approaches were then applied in order to investigate if circulating metabolites could distinguish between positive and negative sMRI findings. A logistic regression model was developed, comprised of two metabolic predictors (erythronic acid and myo -inositol), which, together with neurofilament light polypeptide (NF-L), discriminated positive and negative sMRI findings with an area under the curve of the receiver-operating characteristic of 0.85 (specificity = 0.89, sensitivity = 0.65). The results of this study show that metabolomic analysis of blood samples upon admission, either alone or in combination with protein biomarkers, can provide valuable information about the impact of TBI on brain structural changes.

Published
2020
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39. Quantitative assessment of myelination patterns in preterm neonates using T2-weighted MRI.

Author

Wang S, Ledig C, Hajnal JV, Counsell SJ, Schnabel JA, and Deprez M

Subjects
Female, Gestational Age, Humans, Infant, Newborn, Infant, Premature, Male, Algorithms, Brain anatomy & histology, Brain physiology, Magnetic Resonance Imaging methods, Myelin Sheath physiology
Abstract

Myelination is considered to be an important developmental process during human brain maturation and closely correlated with gestational age. Quantitative assessment of the myelination status requires dedicated imaging, but the conventional T 2 -weighted scans routinely acquired during clinical imaging of neonates carry signatures that are thought to be associated with myelination. In this work, we develop a quatitative marker of progressing myelination for assessment preterm neonatal brain maturation based on novel automatic segmentation method for myelin-like signals on T 2 -weighted magnetic resonance images. Firstly we define a segmentation protocol for myelin-like signals. We then develop an expectation-maximization framework to obtain the automatic segmentations of myelin-like signals with explicit class for partial volume voxels whose locations are configured in relation to the composing pure tissues via second-order Markov random fields. The proposed segmentation achieves high Dice overlaps of 0.83 with manual annotations. The automatic segmentations are then used to track volumes of myelinated tissues in the regions of the central brain structures and brainstem. Finally, we construct a spatio-temporal growth models for myelin-like signals, which allows us to predict gestational age at scan in preterm infants with root mean squared error 1.41 weeks.

Published
2019
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40. Structural brain imaging in Alzheimer's disease and mild cognitive impairment: biomarker analysis and shared morphometry database.

Author

Ledig C, Schuh A, Guerrero R, Heckemann RA, and Rueckert D

Subjects
Aged, Aged, 80 and over, Female, Humans, Magnetic Resonance Imaging methods, Male, Middle Aged, Alzheimer Disease diagnostic imaging, Biomarkers, Biometry, Brain pathology, Cognitive Dysfunction diagnostic imaging, Image Processing, Computer-Assisted methods, Neuroimaging methods
Abstract

Magnetic resonance (MR) imaging is a powerful technique for non-invasive in-vivo imaging of the human brain. We employed a recently validated method for robust cross-sectional and longitudinal segmentation of MR brain images from the Alzheimer's Disease Neuroimaging Initiative (ADNI) cohort. Specifically, we segmented 5074 MR brain images into 138 anatomical regions and extracted time-point specific structural volumes and volume change during follow-up intervals of 12 or 24 months. We assessed the extracted biomarkers by determining their power to predict diagnostic classification and by comparing atrophy rates to published meta-studies. The approach enables comprehensive analysis of structural changes within the whole brain. The discriminative power of individual biomarkers (volumes/atrophy rates) is on par with results published by other groups. We publish all quality-checked brain masks, structural segmentations, and extracted biomarkers along with this article. We further share the methodology for brain extraction (pincram) and segmentation (MALPEM, MALPEM4D) as open source projects with the community. The identified biomarkers hold great potential for deeper analysis, and the validated methodology can readily be applied to other imaging cohorts.

Published
2018
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41. Data-Driven Differential Diagnosis of Dementia Using Multiclass Disease State Index Classifier.

Author

Tolonen A, Rhodius-Meester HFM, Bruun M, Koikkalainen J, Barkhof F, Lemstra AW, Koene T, Scheltens P, Teunissen CE, Tong T, Guerrero R, Schuh A, Ledig C, Baroni M, Rueckert D, Soininen H, Remes AM, Waldemar G, Hasselbalch SG, Mecocci P, van der Flier WM, and Lötjönen J

Abstract

Clinical decision support systems (CDSSs) hold potential for the differential diagnosis of neurodegenerative diseases. We developed a novel CDSS, the PredictND tool, designed for differential diagnosis of different types of dementia. It combines information obtained from multiple diagnostic tests such as neuropsychological tests, MRI and cerebrospinal fluid samples. Here we evaluated how the classifier used in it performs in differentiating between controls with subjective cognitive decline, dementia due to Alzheimer's disease, vascular dementia, frontotemporal lobar degeneration and dementia with Lewy bodies. We used the multiclass Disease State Index classifier, which is the classifier used by the PredictND tool, to differentiate between controls and patients with the four different types of dementia. The multiclass Disease State Index classifier is an extension of a previously developed two-class Disease State Index classifier. As the two-class Disease State Index classifier, the multiclass Disease State Index classifier also offers a visualization of its decision making process, which makes it especially suitable for medical decision support where interpretability of the results is highly important. A subset of the Amsterdam Dementia cohort, consisting of 504 patients (age 65 ± 8 years, 44% females) with data from neuropsychological tests, cerebrospinal fluid samples and both automatic and visual MRI quantifications, was used for the evaluation. The Disease State Index classifier was highly accurate in separating the five classes from each other (balanced accuracy 82.3%). Accuracy was highest for vascular dementia and lowest for dementia with Lewy bodies. For the 50% of patients for which the classifier was most confident on the classification the balanced accuracy was 93.6%. Data-driven CDSSs can be of aid in differential diagnosis in clinical practice. The decision support system tested in this study was highly accurate in separating the different dementias and controls from each other. In addition to the predicted class, it also provides a confidence measure for the classification.

Published
2018
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42. Regional brain morphometry in patients with traumatic brain injury based on acute- and chronic-phase magnetic resonance imaging.

Author

Ledig C, Kamnitsas K, Koikkalainen J, Posti JP, Takala RSK, Katila A, Frantzén J, Ala-Seppälä H, Kyllönen A, Maanpää HR, Tallus J, Lötjönen J, Glocker B, Tenovuo O, and Rueckert D

Subjects
Adolescent, Adult, Aged, Aged, 80 and over, Cross-Sectional Studies, Female, Humans, Longitudinal Studies, Male, Middle Aged, Young Adult, Brain Injuries, Traumatic diagnostic imaging, Brain Injuries, Traumatic pathology, Magnetic Resonance Imaging methods
Abstract

Traumatic brain injury (TBI) is caused by a sudden external force and can be very heterogeneous in its manifestation. In this work, we analyse T1-weighted magnetic resonance (MR) brain images that were prospectively acquired from patients who sustained mild to severe TBI. We investigate the potential of a recently proposed automatic segmentation method to support the outcome prediction of TBI. Specifically, we extract meaningful cross-sectional and longitudinal measurements from acute- and chronic-phase MR images. We calculate regional volume and asymmetry features at the acute/subacute stage of the injury (median: 19 days after injury), to predict the disability outcome of 67 patients at the chronic disease stage (median: 229 days after injury). Our results indicate that small structural volumes in the acute stage (e.g. of the hippocampus, accumbens, amygdala) can be strong predictors for unfavourable disease outcome. Further, group differences in atrophy are investigated. We find that patients with unfavourable outcome show increased atrophy. Among patients with severe disability outcome we observed a significantly higher mean reduction of cerebral white matter (3.1%) as compared to patients with low disability outcome (0.7%).

Published
2017
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43. Five-class differential diagnostics of neurodegenerative diseases using random undersampling boosting.

Author

Tong T, Ledig C, Guerrero R, Schuh A, Koikkalainen J, Tolonen A, Rhodius H, Barkhof F, Tijms B, Lemstra AW, Soininen H, Remes AM, Waldemar G, Hasselbalch S, Mecocci P, Baroni M, Lötjönen J, Flier WV, and Rueckert D

Subjects
Aged, Aged, 80 and over, Diagnosis, Differential, Female, Humans, Magnetic Resonance Imaging, Male, Middle Aged, Support Vector Machine, Algorithms, Image Interpretation, Computer-Assisted methods, Neurodegenerative Diseases classification, Neurodegenerative Diseases diagnosis
Abstract

Differentiating between different types of neurodegenerative diseases is not only crucial in clinical practice when treatment decisions have to be made, but also has a significant potential for the enrichment of clinical trials. The purpose of this study is to develop a classification framework for distinguishing the four most common neurodegenerative diseases, including Alzheimer's disease, frontotemporal lobe degeneration, Dementia with Lewy bodies and vascular dementia, as well as patients with subjective memory complaints. Different biomarkers including features from images (volume features, region-wise grading features) and non-imaging features (CSF measures) were extracted for each subject. In clinical practice, the prevalence of different dementia types is imbalanced, posing challenges for learning an effective classification model. Therefore, we propose the use of the RUSBoost algorithm in order to train classifiers and to handle the class imbalance training problem. Furthermore, a multi-class feature selection method based on sparsity is integrated into the proposed framework to improve the classification performance. It also provides a way for investigating the importance of different features and regions. Using a dataset of 500 subjects, the proposed framework achieved a high accuracy of 75.2% with a balanced accuracy of 69.3% for the five-class classification using ten-fold cross validation, which is significantly better than the results using support vector machine or random forest, demonstrating the feasibility of the proposed framework to support clinical decision making.

Published
2017
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44. Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation.

Author

Kamnitsas K, Ledig C, Newcombe VFJ, Simpson JP, Kane AD, Menon DK, Rueckert D, and Glocker B

Subjects
Brain Injuries, Traumatic pathology, Brain Ischemia pathology, Brain Neoplasms pathology, Humans, Reproducibility of Results, Sensitivity and Specificity, Brain diagnostic imaging, Brain pathology, Brain Injuries, Traumatic diagnostic imaging, Brain Ischemia diagnostic imaging, Brain Neoplasms diagnostic imaging, Neural Networks, Computer
Abstract

We propose a dual pathway, 11-layers deep, three-dimensional Convolutional Neural Network for the challenging task of brain lesion segmentation. The devised architecture is the result of an in-depth analysis of the limitations of current networks proposed for similar applications. To overcome the computational burden of processing 3D medical scans, we have devised an efficient and effective dense training scheme which joins the processing of adjacent image patches into one pass through the network while automatically adapting to the inherent class imbalance present in the data. Further, we analyze the development of deeper, thus more discriminative 3D CNNs. In order to incorporate both local and larger contextual information, we employ a dual pathway architecture that processes the input images at multiple scales simultaneously. For post-processing of the network's soft segmentation, we use a 3D fully connected Conditional Random Field which effectively removes false positives. Our pipeline is extensively evaluated on three challenging tasks of lesion segmentation in multi-channel MRI patient data with traumatic brain injuries, brain tumours, and ischemic stroke. We improve on the state-of-the-art for all three applications, with top ranking performance on the public benchmarks BRATS 2015 and ISLES 2015. Our method is computationally efficient, which allows its adoption in a variety of research and clinical settings. The source code of our implementation is made publicly available., (Copyright © 2016 The Authors. Published by Elsevier B.V. All rights reserved.)

Published
2017
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45. A Novel Grading Biomarker for the Prediction of Conversion From Mild Cognitive Impairment to Alzheimer's Disease.

Author

Tong T, Gao Q, Guerrero R, Ledig C, Chen L, Rueckert D, and Initiative ADN

Subjects
Aged, Algorithms, Alzheimer Disease diagnostic imaging, Alzheimer Disease etiology, Biomarkers, Cognitive Dysfunction complications, Cognitive Dysfunction diagnostic imaging, Disease Progression, Female, Humans, Male, Pattern Recognition, Automated methods, Reproducibility of Results, Sensitivity and Specificity, Subtraction Technique, Aging pathology, Alzheimer Disease pathology, Brain pathology, Cognitive Dysfunction pathology, Image Interpretation, Computer-Assisted methods, Magnetic Resonance Imaging methods
Abstract

Objective: Identifying mild cognitive impairment (MCI) subjects who will progress to Alzheimer's disease (AD) is not only crucial in clinical practice, but also has a significant potential to enrich clinical trials. The purpose of this study is to develop an effective biomarker for an accurate prediction of MCI-to-AD conversion from magnetic resonance images., Methods: We propose a novel grading biomarker for the prediction of MCI-to-AD conversion. First, we comprehensively study the effects of several important factors on the performance in the prediction task including registration accuracy, age correction, feature selection, and the selection of training data. Based on the studies of these factors, a grading biomarker is then calculated for each MCI subject using sparse representation techniques. Finally, the grading biomarker is combined with age and cognitive measures to provide a more accurate prediction of MCI-to-AD conversion., Results: Using the Alzheimer's Disease Neuroimaging Initiative (ADNI) dataset, the proposed global grading biomarker achieved an area under the receiver operating characteristic curve (AUC) in the range of 79-81% for the prediction of MCI-to-AD conversion within three years in tenfold cross validations. The classification AUC further increases to 84-92% when age and cognitive measures are combined with the proposed grading biomarker., Conclusion: The obtained accuracy of the proposed biomarker benefits from the contributions of different factors: a tradeoff registration level to align images to the template space, the removal of the normal aging effect, selection of discriminative voxels, the calculation of the grading biomarker using AD and normal control groups, and the integration of sparse representation technique and the combination of cognitive measures., Significance: The evaluation on the ADNI dataset shows the efficacy of the proposed biomarker and demonstrates a significant contribution in accurate prediction of MCI-to-AD conversion.

Published
2017
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46. ISLES 2015 - A public evaluation benchmark for ischemic stroke lesion segmentation from multispectral MRI.

Author

Maier O, Menze BH, von der Gablentz J, Ḧani L, Heinrich MP, Liebrand M, Winzeck S, Basit A, Bentley P, Chen L, Christiaens D, Dutil F, Egger K, Feng C, Glocker B, Götz M, Haeck T, Halme HL, Havaei M, Iftekharuddin KM, Jodoin PM, Kamnitsas K, Kellner E, Korvenoja A, Larochelle H, Ledig C, Lee JH, Maes F, Mahmood Q, Maier-Hein KH, McKinley R, Muschelli J, Pal C, Pei L, Rangarajan JR, Reza SMS, Robben D, Rueckert D, Salli E, Suetens P, Wang CW, Wilms M, Kirschke JS, Kr Amer UM, Münte TF, Schramm P, Wiest R, Handels H, and Reyes M

Subjects
Humans, Algorithms, Benchmarking, Image Interpretation, Computer-Assisted methods, Magnetic Resonance Imaging methods, Stroke diagnostic imaging
Abstract

Ischemic stroke is the most common cerebrovascular disease, and its diagnosis, treatment, and study relies on non-invasive imaging. Algorithms for stroke lesion segmentation from magnetic resonance imaging (MRI) volumes are intensely researched, but the reported results are largely incomparable due to different datasets and evaluation schemes. We approached this urgent problem of comparability with the Ischemic Stroke Lesion Segmentation (ISLES) challenge organized in conjunction with the MICCAI 2015 conference. In this paper we propose a common evaluation framework, describe the publicly available datasets, and present the results of the two sub-challenges: Sub-Acute Stroke Lesion Segmentation (SISS) and Stroke Perfusion Estimation (SPES). A total of 16 research groups participated with a wide range of state-of-the-art automatic segmentation algorithms. A thorough analysis of the obtained data enables a critical evaluation of the current state-of-the-art, recommendations for further developments, and the identification of remaining challenges. The segmentation of acute perfusion lesions addressed in SPES was found to be feasible. However, algorithms applied to sub-acute lesion segmentation in SISS still lack accuracy. Overall, no algorithmic characteristic of any method was found to perform superior to the others. Instead, the characteristics of stroke lesion appearances, their evolution, and the observed challenges should be studied in detail. The annotated ISLES image datasets continue to be publicly available through an online evaluation system to serve as an ongoing benchmarking resource (www.isles-challenge.org)., (Copyright © 2016 Elsevier B.V. All rights reserved.)

Published
2017
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47. Learning Biomarker Models for Progression Estimation of Alzheimer's Disease.

Author

Schmidt-Richberg A, Ledig C, Guerrero R, Molina-Abril H, Frangi A, and Rueckert D

Subjects
Alzheimer Disease diagnosis, Alzheimer Disease physiopathology, Biomarkers analysis, Brain physiopathology, Disease Progression, Female, Humans, Learning, Male, Models, Biological, Probability, Regression Analysis, Alzheimer Disease pathology, Brain pathology
Abstract

Being able to estimate a patient's progress in the course of Alzheimer's disease and predicting future progression based on a number of observed biomarker values is of great interest for patients, clinicians and researchers alike. In this work, an approach for disease progress estimation is presented. Based on a set of subjects that convert to a more severe disease stage during the study, models that describe typical trajectories of biomarker values in the course of disease are learned using quantile regression. A novel probabilistic method is then derived to estimate the current disease progress as well as the rate of progression of an individual by fitting acquired biomarkers to the models. A particular strength of the method is its ability to naturally handle missing data. This means, it is applicable even if individual biomarker measurements are missing for a subject without requiring a retraining of the model. The functionality of the presented method is demonstrated using synthetic and--employing cognitive scores and image-based biomarkers--real data from the ADNI study. Further, three possible applications for progress estimation are demonstrated to underline the versatility of the approach: classification, construction of a spatio-temporal disease progression atlas and prediction of future disease progression.

Published
2016
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48. Differential diagnosis of neurodegenerative diseases using structural MRI data.

Author

Koikkalainen J, Rhodius-Meester H, Tolonen A, Barkhof F, Tijms B, Lemstra AW, Tong T, Guerrero R, Schuh A, Ledig C, Rueckert D, Soininen H, Remes AM, Waldemar G, Hasselbalch S, Mecocci P, van der Flier W, and Lötjönen J

Subjects
Aged, Brain Mapping, Cerebral Infarction diagnostic imaging, Cerebral Infarction etiology, Female, Humans, Image Processing, Computer-Assisted, Male, Mental Status Schedule, Middle Aged, Neurodegenerative Diseases complications, Retrospective Studies, White Matter diagnostic imaging, Diagnosis, Differential, Magnetic Resonance Imaging, Neurodegenerative Diseases diagnostic imaging
Abstract

Different neurodegenerative diseases can cause memory disorders and other cognitive impairments. The early detection and the stratification of patients according to the underlying disease are essential for an efficient approach to this healthcare challenge. This emphasizes the importance of differential diagnostics. Most studies compare patients and controls, or Alzheimer's disease with one other type of dementia. Such a bilateral comparison does not resemble clinical practice, where a clinician is faced with a number of different possible types of dementia. Here we studied which features in structural magnetic resonance imaging (MRI) scans could best distinguish four types of dementia, Alzheimer's disease, frontotemporal dementia, vascular dementia, and dementia with Lewy bodies, and control subjects. We extracted an extensive set of features quantifying volumetric and morphometric characteristics from T1 images, and vascular characteristics from FLAIR images. Classification was performed using a multi-class classifier based on Disease State Index methodology. The classifier provided continuous probability indices for each disease to support clinical decision making. A dataset of 504 individuals was used for evaluation. The cross-validated classification accuracy was 70.6% and balanced accuracy was 69.1% for the five disease groups using only automatically determined MRI features. Vascular dementia patients could be detected with high sensitivity (96%) using features from FLAIR images. Controls (sensitivity 82%) and Alzheimer's disease patients (sensitivity 74%) could be accurately classified using T1-based features, whereas the most difficult group was the dementia with Lewy bodies (sensitivity 32%). These results were notable better than the classification accuracies obtained with visual MRI ratings (accuracy 44.6%, balanced accuracy 51.6%). Different quantification methods provided complementary information, and consequently, the best results were obtained by utilizing several quantification methods. The results prove that automatic quantification methods and computerized decision support methods are feasible for clinical practice and provide comprehensive information that may help clinicians in the diagnosis making.

Published
2016
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49. Dynamic Changes in White Matter Abnormalities Correlate With Late Improvement and Deterioration Following TBI: A Diffusion Tensor Imaging Study.

Author

Newcombe VF, Correia MM, Ledig C, Abate MG, Outtrim JG, Chatfield D, Geeraerts T, Manktelow AE, Garyfallidis E, Pickard JD, Sahakian BJ, Hutchinson PJ, Rueckert D, Coles JP, Williams GB, and Menon DK

Subjects
Adolescent, Adult, Chronic Disease, Female, Glasgow Outcome Scale, Humans, Male, Middle Aged, Young Adult, Brain pathology, Brain Injuries pathology, Diffusion Tensor Imaging, Disease Progression, White Matter pathology
Abstract

Objective: Traumatic brain injury (TBI) is not a single insult with monophasic resolution, but a chronic disease, with dynamic processes that remain active for years. We aimed to assess patient trajectories over the entire disease narrative, from ictus to late outcome., Methods: Twelve patients with moderate-to-severe TBI underwent magnetic resonance imaging in the acute phase (within 1 week of injury) and twice in the chronic phase of injury (median 7 and 21 months), with some undergoing imaging at up to 2 additional time points. Longitudinal imaging changes were assessed using structural volumetry, deterministic tractography, voxel-based diffusion tensor analysis, and region of interest analyses (including corpus callosum, parasagittal white matter, and thalamus). Imaging changes were related to behavior., Results: Changes in structural volumes, fractional anisotropy, and mean diffusivity continued for months to years postictus. Changes in diffusion tensor imaging were driven by increases in both axial and radial diffusivity except for the earliest time point, and were associated with changes in reaction time and performance in a visual memory and learning task (paired associates learning). Dynamic structural changes after TBI can be detected using diffusion tensor imaging and could explain changes in behavior., Conclusions: These data can provide further insight into early and late pathophysiology, and begin to provide a framework that allows magnetic resonance imaging to be used as an imaging biomarker of therapy response. Knowledge of the temporal pattern of changes in TBI patient populations also provides a contextual framework for assessing imaging changes in individuals at any given time point., (© The Author(s) 2015.)

Published
2016
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