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12. OCEL (Object-Centric Event Log) 2.0 Specification

Author

Berti, Alessandro, Koren, Istvan, Adams, Jan Niklas, Park, Gyunam, Knopp, Benedikt, Graves, Nina, Rafiei, Majid, Liß, Lukas, Unterberg, Leah Tacke Genannt, Zhang, Yisong, Schwanen, Christopher, Pegoraro, Marco, and van der Aalst, Wil M. P.

Subjects
Computer Science - Databases
Abstract

Object-Centric Event Logs (OCELs) form the basis for Object-Centric Process Mining (OCPM). OCEL 1.0 was first released in 2020 and triggered the development of a range of OCPM techniques. OCEL 2.0 forms the new, more expressive standard, allowing for more extensive process analyses while remaining in an easily exchangeable format. In contrast to the first OCEL standard, it can depict changes in objects, provide information on object relationships, and qualify these relationships to other objects or specific events. Compared to XES, it is more expressive, less complicated, and better readable. OCEL 2.0 offers three exchange formats: a relational database (SQLite), XML, and JSON format. This OCEL 2.0 specification document provides an introduction to the standard, its metamodel, and its exchange formats, aimed at practitioners and researchers alike.

Published
2024

13. Self-Supervised Learning for Improved Calibrationless Radial MRI with NLINV-Net

Author

Blumenthal, Moritz, Fantinato, Chiara, Unterberg-Buchwald, Christina, Haltmeier, Markus, Wang, Xiaoqing, and Uecker, Martin

Subjects
Physics - Medical Physics, Electrical Engineering and Systems Science - Image and Video Processing
Abstract

Purpose: To develop a neural network architecture for improved calibrationless reconstruction of radial data when no ground truth is available for training. Methods: NLINV-Net is a model-based neural network architecture that directly estimates images and coil sensitivities from (radial) k-space data via non-linear inversion (NLINV). Combined with a training strategy using self-supervision via data undersampling (SSDU), it can be used for imaging problems where no ground truth reconstructions are available. We validated the method for (1) real-time cardiac imaging and (2) single-shot subspace-based quantitative T1 mapping. Furthermore, region-optimized virtual (ROVir) coils were used to suppress artifacts stemming from outside the FoV and to focus the k-space based SSDU loss on the region of interest. NLINV-Net based reconstructions were compared with conventional NLINV and PI-CS (parallel imaging + compressed sensing) reconstruction and the effect of the region-optimized virtual coils and the type of training loss was evaluated qualitatively. Results: NLINV-Net based reconstructions contain significantly less noise than the NLINV-based counterpart. ROVir coils effectively suppress streakings which are not suppressed by the neural networks while the ROVir-based focussed loss leads to visually sharper time series for the movement of the myocardial wall in cardiac real-time imaging. For quantitative imaging, T1-maps reconstructed using NLINV-Net show similar quality as PI-CS reconstructions, but NLINV-Net does not require slice-specific tuning of the regularization parameter. Conclusion: NLINV-Net is a versatile tool for calibrationless imaging which can be used in challenging imaging scenarios where a ground truth is not available., Comment: Submitted to Magnetic Resonance in Medicine

Published
2024
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15. Assessment of Deep Learning Segmentation for Real-Time Free-Breathing Cardiac Magnetic Resonance Imaging at Rest and Under Exercise Stress

Author

Schilling, Martin, Unterberg-Buchwald, Christina, Lotz, Joachim, and Uecker, Martin

Subjects
Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Computer Vision and Pattern Recognition
Abstract

In recent years, a variety of deep learning networks for cardiac MRI (CMR) segmentation have been developed and analyzed. However, nearly all of them are focused on cine CMR under breathold. In this work, accuracy of deep learning methods is assessed for volumetric analysis (via segmentation) of the left ventricle in real-time free-breathing CMR at rest and under exercise stress. Data from healthy volunteers (n=15) for cine and real-time free-breathing CMR at rest and under exercise stress were analyzed retrospectively. Segmentations of a commercial software (comDL) and a freely available neural network (nnU-Net), were compared to a reference created via the manual correction of comDL segmentation. Segmentation of left ventricular endocardium (LV), left ventricular myocardium (MYO), and right ventricle (RV) is evaluated for both end-systolic and end-diastolic phases and analyzed with Dice's coefficient (DC). The volumetric analysis includes LV end-diastolic volume (EDV), LV end-systolic volume (ESV), and LV ejection fraction (EF). For cine CMR, nnU-Net and comDL achieve a DC above 0.95 for LV and 0.9 for MYO, and RV. For real-time CMR, the accuracy of nnU-Net exceeds that of comDL overall. For real-time CMR at rest, nnU-Net achieves a DC of 0.94 for LV, 0.89 for MYO, and 0.90 for RV; mean absolute differences between nnU-Net and reference are 2.9mL for EDV, 3.5mL for ESV and 2.6% for EF. For real-time CMR under exercise stress, nnU-Net achieves a DC of 0.92 for LV, 0.85 for MYO, and 0.83 for RV; mean absolute differences between nnU-Net and reference are 11.4mL for EDV, 2.9mL for ESV and 3.6% for EF. Deep learning methods designed or trained for cine CMR segmentation can perform well on real-time CMR. For real-time free-breathing CMR at rest, the performance of deep learning methods is comparable to inter-observer variability in cine CMR and is usable or fully automatic segmentation., Comment: Martin Schilling and Christina Unterberg-Buchwald contributed equally to this work

Published
2023
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19. High expression of L-GILZ transcript variant 1 (GILZ TV 1) is associated with increased 30-day sepsis mortality, and a high expression ratio possibly contraindicates hydrocortisone administration

Author

Rusev, Stefan, Thon, Patrick, Dyck, Birte, Ziehe, Dominik, Rahmel, Tim, Marko, Britta, Palmowski, Lars, Nowak, Hartmuth, Ellger, Björn, Limper, Ulrich, Schwier, Elke, Henzler, Dietrich, Ehrentraut, Stefan Felix, Bergmann, Lars, Unterberg, Matthias, Adamzik, Michael, Koos, Björn, and Rump, Katharina

Published
2024
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26. High Positive End-expiratory Pressure (PEEP) with Recruitment Maneuvers versus Low PEEP during General Anesthesia for Surgery: A Bayesian Individual Patient Data Meta-analysis of Three Randomized Clinical Trials

Author

Mazzinari, Guido, Zampieri, Fernando G., Ball, Lorenzo, Campos, Niklas S., Bluth, Thomas, Hemmes, Sabrine N. T., Ferrando, Carlos, Librero, Julian, Soro, Marina, Pelosi, Paolo, Gama de Abreu, Marcelo, Schultz, Marcus J., Serpa Neto, Ary, Campos, Niklas S., Bluth, Thomas, Hemmes, Sabrine N.T., Ferrando, Carlos, Pelosi, Paolo, de Abreu, Marcelo Gama, Schultz, Marcus J., Neto, Ary Serpa, Campos, Niklas S., Bluth, Thomas, Hemmes, Sabrine N.T., Librero, Julian, Pozo, Natividad, Ferrando, Carlos, Ball, Lorenzo, Mazzinari, Guido, Pelosi, Paolo, de Abreu, Marcelo Gama, Schultz, Marcus J., Neto, Ary Serpa, Hemmes, Sabrine N.T., Gama de Abreu, Marcelo, Severgnini, Paolo, Hollmann, Markus W., Binnekade, Jan M., Wrigge, Hermann, Canet, Jaume, Hiesmayr, Michael, Schmid, Werner, Tschernko, Edda, Jaber, Samir, Hedenstierna, Göran, Putensen, Christian, Pelosi, Paolo, Schultz, Marcus J., Marti, Agnes, Bacuzzi, Alessandro, Brodhun, Alexander, Molin, Alexandre, Merten, Alfred, Parera, Ana, Brunelli, Andrea, Cortegiani, Andrea, Güldner, Andreas, Reske, Andreas W., Gratarola, Angelo, Giarratano, Antonino, Bastin, Bea, Heyse, Bjorn, Mazul-Sunko, Branka, Amantea, Bruno, Barberis, Bruno, Putensen, Christian, Uhlig, Christopher, Minguez Marín, Conrado, Celentano, Cristian, La Bella, Daniela, D’Antini, David, Velghe, David, Sulemanji, Demet, De Robertis, Edoardo, Hartmann, Eric, Montalto, Francesca, Tropea, Francesco, Mills, Gary H., Cinnella, Gilda, Rocca, Giorgio Della, Caggianelli, Girolamo, Pellerano, Giulia, Mollica, Giuseppina, Bugedo, Guillermo, Wrigge, Hermann, Mulier, Jan-Paul, Vandenbrande, Jeroen, Geib, Johann, Yaqub, Jonathan, Florez, Jorge, Mayoral, Juan F., Sprung, Juraj, Van Limmen, Jurgen, Bos, Lieuwe D.J., de Baerdemaeker, Luc, Jamaer, Luc, Spagnolo, Luigi, Strys, Lydia, Granell Gil, Manuel, de Abreu, Marcelo Gama, Vidal Melo, Marcos F., Schultz, Marcus J., Unzueta, Maria Carmen, Moral, Maria Victoria, Ferner, Marion, Hollmann, Markus W., Weiss, Martin, Vanoni, Massimo, Schaefer, Maximilian S., Prieto, Mercè, Grio, Michele, Severgnini, Paolo, Spieth, Peter Markus, Simon, Philipp, Bodger, Phoebe, Sierra, Pilar, Laufenberg-Feldmann, Rita, Rusca, Roberta, Proietti, Rodolfo, Hemmes, Sabrine N.T., Raineri, Santi Maurizio, Caroleo, Santo, Sabaté, Sergi, De Hert, Stefan, Pezzato, Stefano, Treschan, Tanja A., Goranovic, Tatjana, Koch, Thea, Bluth, Thomas, Kiss, Thomas, Perilli, Valter, Cegarra, Virginia, Schmid, Werner, Ferrando, Carlos, Belda, Javier, Soro, Marina, Canet, Jaume, Unzueta, Carmen, Suarez-Sipmann, Fernando, Librero, Julián, Llombart, Alicia, Rovira, Lucas, Granell, Manuel, Aldecoa, César, Diaz-Cambronero, Oscar, Balust, Jaume, Garutti, Ignacio, Gonzalez, Rafael, Gallego, Lucia, del Valle, Santiago Garcia, Redondo, Javier, Pestaña, David, Rodríguez, Aurelio, García, Javier, de la Matta, Manuel, Ibáñez, Maite, Barrios, Francisco, Hernández, Samuel, Torres, Vicente, Peiró, Salvador, Pozo, Natividad, Villena, Abigail, Carramiñana, Albert, Gallego-Casilda, Alberto, Duca, Alejandro, Alcón, Amalia, Miñana, Amanda, Asensio, Ana, Colás, Ana, Isabel Galve, Ana, Izquierdo, Ana, Jurado, Ana, María Pérez, Ana, Mugarra, Ana, Parera, Ana, Brunelli, Andrea, Gutierrez, Andrea, De Miguel, Ángeles, Lozano, Angels, Katime, Antonio, Romero, Antonio, Garrigues, Beatriz, Ayas, Begoña, Arocas, Blanca, Delgado, Carlos, Fernández, Carmen, Romero, Carolina, Gallego, Clara, Garcés, Cristina, Lisbona, Cristina, Parrilla, Cristina, López-Herrera, Daniel, González, Domingo, Llamazares, Eduardo, Del Rio, Elena, Lozano, Elena, Pastor, Ernesto, Chamorro, Estefanía, Gracia, Estefanía, Sánchez, Ester, Romero, Esther, Díez, Fernando, Serralta, Ferran, Daviu, Francisco, Sandín, Francisco, Aguilar, Gerardo, Tusman, Gerardo, Azparren, Gonzalo, Martínez-Pallí, Graciela, Mazzinari, Guido, Benítez, Inmaculada, Hernandéz, Inmaculada, India, Inmaculada, León, Irene, Fuentes, Isabel, Ruiz, Isabel, Puig, Jaume, Ignacio Román, Javie, Acosta, Jesús, Rico, Jesús, Olmedo, Jonathan, Carbonell, Jose A., Alonso, Jose M., María Pérez, Jose, Miguel Marcos, Jose, Navarro, Jose, Valdivia, Jose, Carrizo, Juan, Piqueras, Laura, Soriano, Laura, Vaquero, Laura, Miguel, Lisset, Muñoz, Lorena, Valencia, Lucia, Olmedilla, Luis, Etulain, Ma Justina, Tisner, Manuel, Barrio, María, Dolores Alonso, María, García, María, Hernández, María J., José Alberola, María, Parra, María, Pilar Argente, María, Vila, María, De Fez, Mario, Agilaga, Marta, Gine, Marta, Ayuso, Mercedes, García, Mercedes, Bejarano, Natalia, Peña, Natalia, Ojeda, Nazario, Martínez, Nilda, García, Nuria, Padrón, Oto, García, Pablo, Valls, Paola, Cruz, Patricia, Piñeiro, Patricia, Charco, Pedro, Anaya, Rafael, López, Ramiro, Rodríguez, Rayco, Martínez, Rocío, Pujol, Roger, Dosdá, Rosa, Lardies, Rosa, Díaz, Ruben, Villazala, Rubén, Zapatero, Sara, Cabrera, Sergio, Sánchez, Sergio, Martin, Silvia, Diaz, Suzana, Franco, Tania, Moreno, Tania, Socorro, Tania, Gilabert, Vicente, Balandrón, Victor, Moral, Victoria, Cegarra, Virgina, Varón, Viviana, Bluth, Thomas, Serpa Neto, Ary, Bobek, Ilona, Canet, Jaume, Cinnella, Gilda, de Baerdemaeker, Luc, Gregoretti, Cesare, Hedenstierna, Göran, Hemmes, Sabrine N.T., Hiesmayr, Michael, Hollmann, Markus W., Jaber, Samir, Laffey, John, Licker, Marc-Joseph, Markstaller, Klaus, Matot, Idit, Mills, Gary H., Mulier, Jan Paul, Putensen, Christian, Rossaint, Rolf, Schmitt, Jochen, Senturk, Mert, Severgnini, Paolo, Sprung, Juraj, Vidal Melo, Marcos F., Wrigge, Hermann, Schultz, Marcus J., Pelosi, Paolo, de Abreu, Marcelo Gama, Abelha, Fernando, Abitağaoğlu, Sühayla, Achilles, Marc, Adebesin, Afeez, Adriaensens, Ine, Ahene, Charles, Akbar, Fatima, Al Harbi, Mohammed, Al Khoury al Kallab, Rita, Albanel, Xavier, Aldenkortt, Florence, Alfouzan, Rawan Abdullah Saleh, Alruqaie, Reef, Altermatt, Fernando, Araujo, Bruno Luís de Castro, Arbesú, Genaro, Artsi, Hanna, Aurilio, Caterina, Ayanoglu, Omer Hilmi, Bacuzzi, Alessandro, Baig, Harris, Baird, Yolanda, Balonov, Konstantin, Balust, Jaume, Banks, Samantha, Bao, Xiaodong, Baumgartner, Mélanie, Belda Tortosa, Isabel, Bergamaschi, Alice, Bergmann, Lars, Bigatello, Luca, Biosca Pérez, Elena, Birr, Katja, Bluth, Thomas, Bojaxhi, Elird, Bonenti, Chiara, Bonney, Iwona, Bos, Elke M.E., Bowman, Sara, Braz, Leandro Gobbo, Brugnoni, Elisa, Brull, Sorin J., Brunetti, Iole, Bruni, Andrea, Buenvenida, Shonie L., Busch, Cornelius Johannes, Camerini, Giovanni, Canet, Jaume, Capatti, Beatrice, Carmona, Javiera, Carungcong, Jaime, Carvalho, Marta, Cattan, Anat, Cavaleiro, Carla, Chiumello, Davide, Ciardo, Stefano, Coburn, Mark, Colella, Umberto, Contreras, Victor, Corman Dincer, Pelin, Cotter, Elizabeth, Crovetto, Marcia, Darrah, William, Davies, Simon, de Baerdemaeker, Luc, De Hert, Stefan, Del Cojo Peces, Enrique, Delphin, Ellise, Diaper, John, do Nascimento, Paulo, Jr., Donatiello, Valerio, Dong, Jing, Dourado, Maria do Socorro, Dullenkopf, Alexander, Ebner, Felix, Elgendy, Hamed, Ellenberger, Christoph, Erdoğan Ari, Dilek, Ermert, Thomas, Farah, Fadi, Fernandez-Bustamante, Ana, Ferreira, Cristina, Fiore, Marco, Fonte, Ana, Fortià Palahí, Christina, Galimberti, Andrea, Gama de Abreu, Marcelo, Garofano, Najia, Giaccari, Luca Gregorio, Gilsanz, Fernando, Girrbach, Felix, Gobbi, Luca, Godfried, Marc Bernard, Goettel, Nicolai, Goldstein, Peter A., Goren, Or, Gorlin, Andrew, Granell Gil, Manuel, Gratarola, Angelo, Graterol, Juan, Guyon, Pierre, Haire, Kevin, Harou, Philippe, Helf, Antonia, Hemmes, Sabrine N.T., Hempel, Gunther, Hernández Cádiz, María José, Heyse, Björn, Hollmann, Markus W., Huercio, Ivan, Ilievska, Jasmina, Jakus, Lien, Jeganath, Vijay, Jelting, Yvonne, Jung, Minoa, Kabon, Barbara, Kacha, Aalok, Karaman Ilić, Maja, Karuppiah, Arunthevaraja, Kavas, Ayse Duygu, Keli Barcelos, Gleicy, Kellogg, Todd A., Kemper, Johann, Kerbrat, Romain, Khodr, Suraya, Kienbaum, Peter, Kir, Bunyamin, Kiss, Thomas, Kivrak, Selin, Klarić, Vlasta, Koch, Thea, Köksal, Ceren, Kowark, Ana, Kranke, Peter, Kuvaki, Bahar, Kuzmanovska, Biljana, Laffey, John, Lange, Mirko, Lemos, Marília Freitas de, Licker, Marc-Joseph, López-Baamonde, Manuel, López-Hernández, Antonio, Lopez-Martinez, Mercedes, Luise, Stéphane, MacGregor, Mark, Machado, Humberto S., Magalhães, Danielle, Maillard, Julien, Malerbi, Patrizia, Manimekalai, Natesan, Margarson, Michael, Markstaller, Klaus, Martin, Archer K, Martin, David P., Martin, Yvette N., Martínez-Ocon, Julia, Martin-Loeches, Ignacio, Maseda, Emilio, Matot, Idit, McAuliffe, Niamh, McKenzie, Travis J., Medina, Paulina, Meersch, Melanie, Menzen, Angelika, Mertens, Els, Meurer, Bernd, Meyer-Treschan, Tanja, Miao, Changhong, Micalizzi, Camilla, Milić, Morena, Módolo, Norma Sueli Pinheiro, Moine, Pierre, Mölders, Patrick, Montero-Feijoo, Ana, Moret, Enrique, Muller, Markus K, Murphy, Zoe, Nalwaya, Pramod, Filip, Naumovski, Navalesi, Paolo, Navarro e Lima, Lais Helena, Nesek Adam, Višnja, Neumann, Claudia, Newell, Christopher, Nisnevitch, Zoulfira, Nizamuddin, Junaid, Novazzi, Cecilia, Nunes, Catarina S, O’Connor, Michael, Oprea, Günther, Orhan Sungur, Mukadder, Özbilgin, Şule, Pace, Maria Caterina, Pacheco, Marcos, Packianathaswamy, Balaji, Palma Gonzalez, Estefania, Papaspyros, Fotios, Paredes, Sebastián, Passavanti, Maria Beatrice, Pedemonte, Juan Cristobal, Pelosi, Paolo, Peremin, Sanja, Philipsenburg, Christoph, Pinho, Daniela, Pinho, Silvia, Posthuma, Linda M., Pota, Vincenzo, Preckel, Benedikt, Priani, Paolo, Putensen, Christian, Rached, Mohamed Aymen, Radoeshki, Aleksandar, Ragazzi, Riccardo, Rajamanickam, Tamilselvan, Rajamohan, Arthi, Ramakrishna, Harish, Rangarajan, Desikan, Reiterer, Christian, Renew, J. Ross, Reynaud, Thomas, Rhys, Rhidian, Rivas, Eva, Robitzky, Luisa, Rossaint, Rolf, Rubulotta, Francesca, Sabbatini, Giovanni, Samuels, Jon D, Sanahuja, Josep Martí, Sansone, Pasquale, Santos, Alice, Sayedalahl, Mohamed, Schaefer, Maximilian S., Scharffenberg, Martin, Schiffer, Eduardo, Schliewe, Nadja, Schorer, Raoul, Schultz, Marcus J., Schumann, Roman, Selmo, Gabriele, Sendra, Mar, Senturk, Mert, Severgnini, Paolo, Shaw, Kate, Shosholcheva, Mirjana, Sibai, Abdulrazak, Simon, Philipp, Simonassi, Francesca, Sinno, Claudia, Sivrikoz, Nukhet, Skandalou, Vasiliki, Smith, Neil, Soares, Maria, Socorro Artiles, Tania, Sousa Castro, Diogo, Sousa, Miguel, Spadaro, Savino, Sprung, Juraj, Stamatakis, Emmanouil, Steiner, Luzius A., Stevenazzi, Andrea, Suarez-de-la-Rica, Alejandro, Suppan, Mélanie, Teichmann, Robert, Tena Guerrero, José Maria, Thiel, Bram, Tolós, Raquel, Tucci, Michelle, Turnbull, Zachary A., Turudić, Žana, Unterberg, Matthias, Van Limmen, Jurgen, Van Nieuwenhove, Yves, Van Waesberghe, Julia, Vidal Melo, Marcos Francisco, Vitković, Bibiana, Vivona, Luigi, Vizcaychipi, Marcela, Volta, Carlo Alberto, Weber, Anne, Weingarten, Toby N., Wittenstein, Jakob, Wrigge, Hermann, Wyffels, Piet, Yagüe, Julio, Yates, David, Yavru, Ayşen, Zac, Lilach, and Zhong, Jing

Published
2025
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33. Schädel-Hirn-Trauma

Author

Younsi, Alexander, Scherer, Moritz, Unterberg, Andreas W., Marx, Gernot, editor, Muhl, Elke, editor, Zacharowski, Kai, editor, and Zeuzem, Stefan, editor

Published
2024
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34. Neurosurgical Treatment of Traumatic Brain Injury and the Role of Decompressive Hemicraniectomy

Author

Grutza, M., Unterberg, A., Younsi, A., Coccolini, Federico, Series Editor, Coimbra, Raul, Series Editor, Kirkpatrick, Andrew W., Series Editor, Di Saverio, Salomone, Series Editor, Ansaloni, Luca, Editorial Board Member, Balogh, Zsolt, Editorial Board Member, Biffl, Walt, Editorial Board Member, Catena, Fausto, Editorial Board Member, Davis, Kimberly, Editorial Board Member, Ferrada, Paula, Editorial Board Member, Fraga, Gustavo, Editorial Board Member, Ivatury, Rao, Editorial Board Member, Kluger, Yoram, Editorial Board Member, Leppaniemi, Ari, Editorial Board Member, Maier, Ron, Editorial Board Member, Moore, Ernest E., Editorial Board Member, Napolitano, Lena, Editorial Board Member, Peitzman, Andrew, Editorial Board Member, Reilly, Patrick, Editorial Board Member, Rizoli, Sandro, Editorial Board Member, Sakakushev, Boris E., Editorial Board Member, Sartelli, Massimo, Editorial Board Member, Scalea, Thomas, Editorial Board Member, Spain, David, Editorial Board Member, Stahel, Philip, Editorial Board Member, Sugrue, Michael, Editorial Board Member, Velmahos, George, Editorial Board Member, Weber, Dieter, Editorial Board Member, Brogi, Etrusca, editor, Ley, Eric J., editor, and Valadka, Alex, editor

Published
2024
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36. Genetic vulnerability and adverse mental health outcomes following mild traumatic brain injury: a meta-analysis of CENTER-TBI and TRACK-TBI cohorts

Author

Ackerlund, Cecilia, Adams, Hadie, Amrein, Krisztina, Andelic, Nada, Andreassen, Lasse, Anke, Audny, Antoni, Anna, Audibert, Gérard, Azouvi, Philippe, Azzolini, Maria Luisa, Bartels, Ronald, Barzó, Pál, Beauvais, Romuald, Beer, Ronny, Bellander, Bo-Michael, Belli, Antonio, Benali, Habib, Berardino, Maurizio, Beretta, Luigi, Blaabjerg, Morten, Bragge, Peter, Brazinova, Alexandra, Brinck, Vibeke, Brooker, Joanne, Brorsson, Camilla, Buki, Andras, Bullinger, Monika, Cabeleira, Manuel, Caccioppola, Alessio, Calappi, Emiliana, Calvi, Maria Rosa, Cameron, Peter, Lozano, Guillermo Carbayo, Carbonara, Marco, Castaño-León, Ana M., Cavallo, Simona, Chevallard, Giorgio, Chieregato, Arturo, Citerio, Giuseppe, Clusmann, Hans, Coburn, Mark Steven, Coles, Jonathan, Cooper, Jamie D., Correia, Marta, Čović, Amra, Curry, Nicola, Czeiter, Endre, Czosnyka, Marek, Dahyot-Fizelier, Claire, Dark, Paul, Dawes, Helen, De Keyser, Véronique, Degos, Vincent, Della Corte, Francesco, Boogert, Hugo den, Depreitere, Bart, Đilvesi, Đula, Dixit, Abhishek, Donoghue, Emma, Dreier, Jens, Dulière, Guy-Loup, Ercole, Ari, Esser, Patrick, Ezer, Erzsébet, Fabricius, Martin, Feigin, Valery L., Foks, Kelly, Frisvold, Shirin, Furmanov, Alex, Gagliardo, Pablo, Galanaud, Damien, Gantner, Dashiell, Gao, Guoyi, George, Pradeep, Ghuysen, Alexandre, Giga, Lelde, Glocker, Ben, Golubović, Jagoš, Gomez, Pedro A., Gratz, Johannes, Gravesteijn, Benjamin, Grossi, Francesca, Gruen, Russell L., Gupta, Deepak, Haagsma, Juanita A., Haitsma, Iain, Helbok, Raimund, Helseth, Eirik, Horton, Lindsay, Huijben, Jilske, Hutchinson, Peter J., Jacobs, Bram, Jankowski, Stefan, Jarrett, Mike, Jiang, Ji-yao, Johnson, Faye, Jones, Kelly, Karan, Mladen, Kolias, Angelos G., Kompanje, Erwin, Kondziella, Daniel, Koskinen, Lars-Owe, Kovács, Noémi, Kowark, Ana, Lagares, Alfonso, Lanyon, Linda, Laureys, Steven, Lecky, Fiona, Ledoux, Didier, Lefering, Rolf, Legrand, Valerie, Lejeune, Aurelie, Levi, Leon, Lightfoot, Roger, Lingsma, Hester, Maegele, Marc, Majdan, Marek, Manara, Alex, Maréchal, Hugues, Martino, Costanza, Mattern, Julia, McFadyen, Charles, McMahon, Catherine, Melegh, Béla, Menovsky, Tomas, Mikolic, Ana, Misset, Benoit, Muraleedharan, Visakh, Murray, Lynnette, Negru, Ancuta, Nelson, David, Newcombe, Virginia, Nieboer, Daan, Nyirádi, József, Oresic, Matej, Ortolano, Fabrizio, Otesile, Olubukola, Parizel, Paul M., Payen, Jean-François, Perera, Natascha, Perlbarg, Vincent, Persona, Paolo, Peul, Wilco, Piippo-Karjalainen, Anna, Pirinen, Matti, Pisica, Dana, Ples, Horia, Polinder, Suzanne, Pomposo, Inigo, Posti, Jussi P., Puybasset, Louis, Rădoi, Andreea, Ragauskas, Arminas, Raj, Rahul, Rambadagalla, Malinka, Rehorčíková, Veronika, Helmrich, Isabel Retel, Rhodes, Jonathan, Richter, Sophie, Rocka, Saulius, Roe, Cecilie, Roise, Olav, Rosenfeld, Jeffrey, Rosenlund, Christina, Rosenthal, Guy, Rossaint, Rolf, Rossi, Sandra, Rueckert, Daniel, Rusnák, Martin, Sahuquillo, Juan, Sakowitz, Oliver, Sanchez-Porras, Renan, Sandor, Janos, Schäfer, Nadine, Schmidt, Silke, Schoechl, Herbert, Schoonman, Guus, Schou, Rico Frederik, Schwendenwein, Elisabeth, Sewalt, Charlie, Singh, Ranjit D., Skandsen, Toril, Smielewski, Peter, Sorinola, Abayomi, Stamatakis, Emmanuel, Stanworth, Simon, Stevens, Robert, Stewart, William, Stocchetti, Nino, Sundström, Nina, Takala, Riikka, Tamás, Viktória, Tamosuitis, Tomas, Taylor, Mark Steven, Te Ao, Braden, Tenovuo, Olli, Theadom, Alice, Thibaut, Aurore, Thomas, Matt, Tibboel, Dick, Timmers, Marjolijn, Tolias, Christos, Trapani, Tony, Tudora, Cristina Maria, Unterberg, Andreas, Vajkoczy, Peter, Valeinis, Egils, Vallance, Shirley, Vámos, Zoltán, van der Jagt, Mathieu, van der Naalt, Joukje, Van der Steen, Gregory, van Dijck, Jeroen T.J.M., van Erp, Inge A., van Essen, Thomas A., Van Hecke, Wim, van Heugten, Caroline, Van Praag, Dominique, van Veen, Ernest, van Wijk, Roel, Vyvere, Thijs Vande, Vargiolu, Alessia, Vega, Emmanuel, Velt, Kimberley, Verheyden, Jan, Vespa, Paul M., Vik, Anne, Vilcinis, Rimantas, Volovici, Victor, von Steinbüchel, Nicole, Voormolen, Daphne, Vulekovic, Peter, Whitehouse, Daniel, Wiegers, Eveline, Williams, Guy, Wolf, Stefan, Yang, Zhihui, Ylén, Peter, Younsi, Alexander, Zeiler, Frederick A., Ziverte, Agate, Zoerle, Tommaso, Adeoye, Opeolu, Badjatia, Neeraj, Barber, Jason, Bergin, Michael, Boase, Kim, Bodien, Yelena, Chesnut, Randall, Corrigan, John, Crawford, Karen, Diaz-Arrastia, Ramon, Dikmen, Sureyya, Duhaime, Ann-Christine, Ellenbogen, Richard, Feeser, Venkata, Ferguson, Adam R., Foreman, Brandon, Gaudette, Etienne, Giacino, Joseph, Gonzalez, Luis, Gopinath, Shankar, Grandhi, Ramesh, Gullapalli, Rao, Hemphill, Claude, Hotz, Gillian, Huie, Russell, Jha, Ruchira, Keene, Dirk C., Kitagawa, Ryan, Korley, Frederick, Kramer, Joel, Kreitzer, Natalie, Levin, Harvey, Lindsell, Chris, Machamer, Joan, Madden, Christopher, Martin, Alastair, McAllister, Thomas, McCrea, Michael, Merchant, Randall, Mukherjee, Pratik, Nelson, Lindsay, Ngwenya, Laura B., Noel, Florence, Nolan, Amber, Okonkwo, David, Palacios, Eva, Perl, Daniel, Puccio, Ava, Rabinowitz, Miri, Robertson, Claudia, Ben Rodgers, Richard, Rosenthal, Eric, Sander, Angelle, Sandsmark, Danielle, Schneider, Andrea, Schnyer, David, Seabury, Seth, Sherer, Mark, Sugar, Gabriella, Temkin, Nancy, Toga, Arthur, Torres-Espin, Abel, Valadka, Alex, Vassar, Mary, Wang, Kevin, Wang, Vincent, Yue, John K., Yuh, Esther, Zafonte, Ross, Kals, Mart, Wilson, Lindsay, Levey, Daniel F., Parodi, Livia, Steyerberg, Ewout W., Richardson, Sylvia, He, Feng, Sun, Xiaoying, Jain, Sonia, Palotie, Aarno, Ripatti, Samuli, Rosand, Jonathan, Manley, Geoff T., Maas, Andrew I.R., Stein, Murray B., and Menon, David K.

Published
2024
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40. Traumatic brain injury: progress and challenges in prevention, clinical care, and research.

Author

Maas, Andrew, Menon, David, Manley, Geoffrey, Abrams, Mathew, Åkerlund, Cecilia, Andelic, Nada, Aries, Marcel, Bashford, Tom, Bell, Michael, Bodien, Yelena, Brett, Benjamin, Büki, András, Chesnut, Randall, Citerio, Giuseppe, Clark, David, Clasby, Betony, Cooper, D, Czeiter, Endre, Czosnyka, Marek, Dams-OConnor, Kristen, De Keyser, Véronique, Diaz-Arrastia, Ramon, Ercole, Ari, van Essen, Thomas, Falvey, Éanna, Nelson, David, Nelson, Lindsay, Newcombe, Virginia, Okonkwo, David, Orešič, Matej, Peul, Wilco, Pisică, Dana, Polinder, Suzanne, Ponsford, Jennie, Puybasset, Louis, Raj, Rahul, Robba, Chiara, Røe, Cecilie, Rosand, Jonathan, Schueler, Peter, Sharp, David, Smielewski, Peter, Stein, Murray, von Steinbüchel, Nicole, Stewart, William, Steyerberg, Ewout, Stocchetti, Nino, Temkin, Nancy, Tenovuo, Olli, Theadom, Alice, Thomas, Ilias, Espin, Abel, Turgeon, Alexis, Unterberg, Andreas, Van Praag, Dominique, van Veen, Ernest, Verheyden, Jan, Vyvere, Thijs, Wang, Kevin, Wiegers, Eveline, Williams, W, Wilson, Lindsay, Wisniewski, Stephen, Younsi, Alexander, Figaji, Anthony, Fitzgerald, Melinda, Foreman, Brandon, Gantner, Dashiell, Gao, Guoyi, Giacino, Joseph, Gravesteijn, Benjamin, Guiza, Fabian, Gupta, Deepak, Gurnell, Mark, Haagsma, Juanita, Hammond, Flora, Hawryluk, Gregory, Hutchinson, Peter, van der Jagt, Mathieu, Jain, Sonia, Jain, Swati, Jiang, Ji-Yao, Kent, Hope, Kolias, Angelos, Kompanje, Erwin, Lecky, Fiona, Lingsma, Hester, Maegele, Marc, Majdan, Marek, Markowitz, Amy, McCrea, Michael, Meyfroidt, Geert, Mikolić, Ana, Mondello, Stefania, Yuh, Esther, Zeiler, Frederick, Zeldovich, Marina, Zemek, Roger, Ferguson, Adam, and Mukherjee, Pratik

Subjects
Humans, Brain Injuries, Traumatic, Cost of Illness, Violence, Sports
Abstract

Traumatic brain injury (TBI) has the highest incidence of all common neurological disorders, and poses a substantial public health burden. TBI is increasingly documented not only as an acute condition but also as a chronic disease with long-term consequences, including an increased risk of late-onset neurodegeneration. The first Lancet Neurology Commission on TBI, published in 2017, called for a concerted effort to tackle the global health problem posed by TBI. Since then, funding agencies have supported research both in high-income countries (HICs) and in low-income and middle-income countries (LMICs). In November 2020, the World Health Assembly, the decision-making body of WHO, passed resolution WHA73.10 for global actions on epilepsy and other neurological disorders, and WHO launched the Decade for Action on Road Safety plan in 2021. New knowledge has been generated by large observational studies, including those conducted under the umbrella of the International Traumatic Brain Injury Research (InTBIR) initiative, established as a collaboration of funding agencies in 2011. InTBIR has also provided a huge stimulus to collaborative research in TBI and has facilitated participation of global partners. The return on investment has been high, but many needs of patients with TBI remain unaddressed. This update to the 2017 Commission presents advances and discusses persisting and new challenges in prevention, clinical care, and research. In LMICs, the occurrence of TBI is driven by road traffic incidents, often involving vulnerable road users such as motorcyclists and pedestrians. In HICs, most TBI is caused by falls, particularly in older people (aged ≥65 years), who often have comorbidities. Risk factors such as frailty and alcohol misuse provide opportunities for targeted prevention actions. Little evidence exists to inform treatment of older patients, who have been commonly excluded from past clinical trials—consequently, appropriate evidence is urgently required. Although increasing age is associated with worse outcomes from TBI, age should not dictate limitations in therapy. However, patients injured by low-energy falls (who are mostly older people) are about 50% less likely to receive critical care or emergency interventions, compared with those injured by high-energy mechanisms, such as road traffic incidents. Mild TBI, defined as a Glasgow Coma sum score of 13–15, comprises most of the TBI cases (over 90%) presenting to hospital. Around 50% of adult patients with mild TBI presenting to hospital do not recover to pre-TBI levels of health by 6 months after their injury. Fewer than 10% of patients discharged after presenting to an emergency department for TBI in Europe currently receive follow-up. Structured follow-up after mild TBI should be considered good practice, and urgent research is needed to identify which patients with mild TBI are at risk for incomplete recovery. The selection of patients for CT is an important triage decision in mild TBI since it allows early identification of lesions that can trigger hospital admission or life-saving surgery. Current decision making for deciding on CT is inefficient, with 90–95% of scanned patients showing no intracranial injury but being subjected to radiation risks. InTBIR studies have shown that measurement of blood-based biomarkers adds value to previously proposed clinical decision rules, holding the potential to improve efficiency while reducing radiation exposure. Increased concentrations of biomarkers in the blood of patients with a normal presentation CT scan suggest structural brain damage, which is seen on MR scanning in up to 30% of patients with mild TBI. Advanced MRI, including diffusion tensor imaging and volumetric analyses, can identify additional injuries not detectable by visual inspection of standard clinical MR images. Thus, the absence of CT abnormalities does not exclude structural damage—an observation relevant to litigation procedures, to management of mild TBI, and when CT scans are insufficient to explain the severity of the clinical condition. Although blood-based protein biomarkers have been shown to have important roles in the evaluation of TBI, most available assays are for research use only. To date, there is only one vendor of such assays with regulatory clearance in Europe and the USA with an indication to rule out the need for CT imaging for patients with suspected TBI. Regulatory clearance is provided for a combination of biomarkers, although evidence is accumulating that a single biomarker can perform as well as a combination. Additional biomarkers and more clinical-use platforms are on the horizon, but cross-platform harmonisation of results is needed. Health-care efficiency would benefit from diversity in providers. In the intensive care setting, automated analysis of blood pressure and intracranial pressure with calculation of derived parameters can help individualise management of TBI. Interest in the identification of subgroups of patients who might benefit more from some specific therapeutic approaches than others represents a welcome shift towards precision medicine. Comparative-effectiveness research to identify best practice has delivered on expectations for providing evidence in support of best practices, both in adult and paediatric patients with TBI. Progress has also been made in improving outcome assessment after TBI. Key instruments have been translated into up to 20 languages and linguistically validated, and are now internationally available for clinical and research use. TBI affects multiple domains of functioning, and outcomes are affected by personal characteristics and life-course events, consistent with a multifactorial bio-psycho-socio-ecological model of TBI, as presented in the US National Academies of Sciences, Engineering, and Medicine (NASEM) 2022 report. Multidimensional assessment is desirable and might be best based on measurement of global functional impairment. More work is required to develop and implement recommendations for multidimensional assessment. Prediction of outcome is relevant to patients and their families, and can facilitate the benchmarking of quality of care. InTBIR studies have identified new building blocks (eg, blood biomarkers and quantitative CT analysis) to refine existing prognostic models. Further improvement in prognostication could come from MRI, genetics, and the integration of dynamic changes in patient status after presentation. Neurotrauma researchers traditionally seek translation of their research findings through publications, clinical guidelines, and industry collaborations. However, to effectively impact clinical care and outcome, interactions are also needed with research funders, regulators, and policy makers, and partnership with patient organisations. Such interactions are increasingly taking place, with exemplars including interactions with the All Party Parliamentary Group on Acquired Brain Injury in the UK, the production of the NASEM report in the USA, and interactions with the US Food and Drug Administration. More interactions should be encouraged, and future discussions with regulators should include debates around consent from patients with acute mental incapacity and data sharing. Data sharing is strongly advocated by funding agencies. From January 2023, the US National Institutes of Health will require upload of research data into public repositories, but the EU requires data controllers to safeguard data security and privacy regulation. The tension between open data-sharing and adherence to privacy regulation could be resolved by cross-dataset analyses on federated platforms, with the data remaining at their original safe location. Tools already exist for conventional statistical analyses on federated platforms, however federated machine learning requires further development. Support for further development of federated platforms, and neuroinformatics more generally, should be a priority. This update to the 2017 Commission presents new insights and challenges across a range of topics around TBI: epidemiology and prevention (section 1); system of care (section 2); clinical management (section 3); characterisation of TBI (section 4); outcome assessment (section 5); prognosis (Section 6); and new directions for acquiring and implementing evidence (section 7). Table 1 summarises key messages from this Commission and proposes recommendations for the way forward to advance research and clinical management of TBI.

Published
2022

41. Genetical and epigenetical profiling identifies two subgroups of pineal parenchymal tumors of intermediate differentiation (PPTID) with distinct molecular, histological and clinical characteristics

Author

Rahmanzade, Ramin, Pfaff, Elke, Banan, Rouzbeh, Sievers, Philipp, Suwala, Abigail K., Hinz, Felix, Bogumil, Henri, Cherkezov, Asan, Kaan, Aras Fuat, Schrimpf, Daniel, Friedel, Dennis, Göbel, Kirsten, Keller, Felix, Saenz-Sardà, Xavier, Lossos, Alexander, Sill, Martin, Witt, Olaf, Sakowitz, Oliver W., Korshunov, Andrey, Reuss, David E., Etminan, Nima, Unterberg, Andreas, Ratliff, Miriam, Herold-Mende, Christel, Wick, Wolfgang, Pfister, Stefan M., von Deimling, Andreas, Jones, David T. W., and Sahm, Felix

Published
2023
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43. Free-Breathing Myocardial T1 Mapping using Inversion-Recovery Radial FLASH and Motion-Resolved Model-Based Reconstruction

Author

Wang, Xiaoqing, Rosenzweig, Sebastian, Roeloffs, Volkert, Blumenthal, Moritz, Scholand, Nick, Tan, Zhengguo, Holme, H. Christian M., Unterberg-Buchwald, Christina, Hinkel, Rabea, and Uecker, Martin

Subjects
Physics - Medical Physics
Abstract

Purpose: To develop a free-breathing myocardial T1 mapping technique using inversion-recovery (IR) radial fast low-angle shot (FLASH) and calibrationless motion-resolved model-based reconstruction. Methods: Free-running (free-breathing, retrospective cardiac gating) IR radial FLASH is used for data acquisition at 3T. First, to reduce the waiting time between inversions, an analytical formula is derived that takes the incomplete T1 recovery into account for an accurate T1 calculation. Second, the respiratory motion signal is estimated from the k-space center of the contrast varying acquisition using an adapted singular spectrum analysis (SSA-FARY) technique. Third, a motion-resolved model-based reconstruction is used to estimate both parameter and coil sensitivity maps directly from the sorted k-space data. Thus, spatiotemporal total variation, in addition to the spatial sparsity constraints, can be directly applied to the parameter maps. Validations are performed on an experimental phantom, eleven human subjects, and a young landrace pig with myocardial infarction. Results: In comparison to an IR spin-echo reference, phantom results confirm good T1 accuracy when reducing the waiting time from five seconds to one second using the new correction. The motion-resolved model-based reconstruction further improves precision compared to the spatial regularization-only reconstruction. Aside from showing that a reliable respiratory motion signal can be estimated using modified SSA-FARY, in vivo studies demonstrate that dynamic myocardial T1 maps can be obtained within two minutes with good precision and repeatability. Conclusion: Motion-resolved myocardial T1 mapping during free-breathing with good accuracy, precision and repeatability can be achieved by combining inversion-recovery radial FLASH, self-gating and a calibrationless motion-resolved model-based reconstruction., Comment: Part of this work has been presented at the ISMRM Annual Conference 2021 (Virtual), accepted by Magnetic Resonance in Medicine

Published
2021
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44. Parsimonious immune-response endotypes and global outcome in patients with traumatic brain injury

Author

Badjatia, Neeraj, Diaz-Arrastia, Ramon, Duhaime, Ann-Christine, Feeser, V Ramana, Gopinath, Shankar, Grandhi, Ramesh, Ha, Ruchira J., Keene, Dirk, Madden, Christopher, McCrea, Michael, Merchant, Randall, Ngwenya, Laura B., Rodgers, Richard B., Schnyer, David, Taylor, Sabrina R., Zafonte, Ross, Ackerlund, Cecilia, Amrein, Krisztina, Andelic, Nada, Andreassen, Lasse, Anke, Audny, Audibert, Gérard, Azouvi, Philippe, Azzolini, Maria Luisa, Bartels, Ronald, Beer, Ronny, Bellander, Bo-Michael, Benali, Habib, Berardino, Maurizio, Beretta, Luigi, Beqiri, Erta, Blaabjerg, Morten, Lund, Stine Borgen, Brorsson, Camilla, Buki, Andras, Cabeleira, Manuel, Caccioppola, Alessio, Calappi, Emiliana, Calvi, Maria Rosa, Cameron, Peter, Lozano, Guillermo Carbayo, Carbonara, Marco, Castaño-León, Ana M., Cavallo, Simona, Chevallard, Giorgio, Chieregato, Arturo, Citerio, Giuseppe, Clusmann, Hans, Coburn, Mark Steven, Coles, Jonathan, Cooper, Jamie D., Correia, Marta, Czeiter, Endre, Czosnyka, Marek, Dahyot-Fizelier, Claire, Dark, Paul, De Keyser, Véronique, Degos, Vincent, Della Corte, Francesco, Boogert, Hugo den, Depreitere, Bart, Đilvesi, Đula, Dixit, Abhishek, Dreier, Jens, Dulière, Guy-Loup, Ercole, Ari, Ezer, Erzsébet, Fabricius, Martin, Foks, Kelly, Frisvold, Shirin, Furmanov, Alex, Galanaud, Damien, Gantner, Dashiell, Ghuysen, Alexandre, Giga, Lelde, Golubović, Jagoš, Gomez, Pedro A., Gravesteijn, Benjamin, Grossi, Francesca, Gupta, Deepak, Haitsma, Iain, Helbok, Raimund, Helseth, Eirik, Huijben, Jilske, Hutchinson, Peter J., Jankowski, Stefan, Johnson, Faye, Karan, Mladen, Kolias, Angelos G., Kondziella, Daniel, Kornaropoulos, Evgenios, Koskinen, Lars-Owe, Kovács, Noémi, Kowark, Ana, Lagares, Alfonso, Laureys, Steven, Lecky, Fiona, Ledoux, Didier, Lightfoot, Roger, Lingsma, Hester, Maas, Andrew I.R., Manara, Alex, Maréchal, Hugues, Martino, Costanza, Mattern, Julia, McMahon, Catherine, Menon, David, Menovsky, Tomas, Misset, Benoit, Muraleedharan, Visakh, Murray, Lynnette, Negru, Ancuta, Nelson, David, Newcombe, Virginia, Nyirádi, József, Ortolano, Fabrizio, Payen, Jean-François, Perlbarg, Vincent, Persona, Paolo, Peul, Wilco, Piippo-Karjalainen, Anna, Ples, Horia, Pomposo, Inigo, Posti, Jussi P., Puybasset, Louis, Rădoi, Andreea, Ragauskas, Arminas, Raj, Rahul, Rhodes, Jonathan, Richter, Sophie, Rocka, Saulius, Roe, Cecilie, Roise, Olav, Rosenfeld, Jeffrey, Rosenlund, Christina, Rosenthal, Guy, Rossaint, Rolf, Rossi, Sandra, Sahuquillo, Juan, Sakowitz, Oliver, Sanchez-Porras, Renan, Sandrød, Oddrun, Schirmer-Mikalsen, Kari, Frederik Schou, Rico, Sewalt, Charlie, Smielewski, Peter, Sorinola, Abayomi, Stamatakis, Emmanuel, Steyerberg, Ewout W., Stocchetti, Nino, Sundström, Nina, Takala, Riikka, Tamás, Viktória, Tamosuitis, Tomas, Tenovuo, Olli, Thomas, Matt, Tibboel, Dick, Tolias, Christos, Trapani, Tony, Tudora, Cristina Maria, Unterberg, Andreas, Vajkoczy, Peter, Valeinis, Egils, Vallance, Shirley, Vámos, Zoltán, Van der Steen, Gregory, van Dijck, Jeroen T.J.M., van Essen, Thomas A., van Wijk, Roel, Vargiolu, Alessia, Vega, Emmanuel, Vik, Anne, Vilcinis, Rimantas, Volovici, Victor, Vulekovic, Peter, Wiegers, Eveline, Williams, Guy, Winzeck, Stefan, Wolf, Stefan, Younsi, Alexander, Zeiler, Frederick A., Ziverte, Agate, Zoerle, Tommaso, Samanta, Romit J., Chiollaz, Anne-Cécile, Needham, Edward, Yue, John K., Helmy, Adel, Zanier, Elisa R., Wang, Kevin K.W., Kobeissy, Firas, Summers, Charlotte, Manley, Geoffrey T., Maas, Andrew IR., Sanchez, Jean-Charles, and Menon, David K.

Published
2024
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45. Association of early blood-based biomarkers and six-month functional outcomes in conventional severity categories of traumatic brain injury: capturing the continuous spectrum of injury

Author

Ackerlund, Cecilia, Amrein, Krisztina, Andelic, Nada, Andreassen, Lasse, Anke, Audny, Antoni, Anna, Audibert, Gérard, Azouvi, Philippe, Azzolini, Maria Luisa, Bartels, Ronald, Barzó, Pál, Beauvais, Romuald, Beer, Ronny, Bellander, Bo-Michael, Belli, Antonio, Benali, Habib, Berardino, Maurizio, Beretta, Luigi, Blaabjerg, Morten, Bragge, Peter, Brazinova, Alexandra, Brinck, Vibeke, Brooker, Joanne, Brorsson, Camilla, Buki, Andras, Bullinger, Monika, Cabeleira, Manuel, Caccioppola, Alessio, Calappi, Emiliana, Calvi, Maria Rosa, Cameron, Peter, Lozano, Guillermo Carbayo, Carbonara, Marco, Castaño-León, Ana M., Cavallo, Simona, Chevallard, Giorgio, Chieregato, Arturo, Citerio, Giuseppe, Clusmann, Hans, Coburn, Mark Steven, Coles, Jonathan, Cooper, Jamie D., Correia, Marta, Čović, Amra, Curry, Nicola, Czeiter, Endre, Czosnyka, Marek, Dahyot-Fizelier, Claire, Dark, Paul, Dawes, Helen, De Keyser, Véronique, Degos, Vincent, Della Corte, Francesco, Boogert, Hugo den, Depreitere, Bart, Đilvesi, Đula, Dixit, Abhishek, Donoghue, Emma, Dreier, Jens, Dulière, Guy-Loup, Ercole, Ari, Esser, Patrick, Ezer, Erzsébet, Fabricius, Martin, Feigin, Valery L., Foks, Kelly, Frisvold, Shirin, Furmanov, Alex, Gagliardo, Pablo, Galanaud, Damien, Gantner, Dashiell, Gao, Guoyi, George, Pradeep, Ghuysen, Alexandre, Giga, Lelde, Glocker, Ben, Golubović, Jagoš, Gomez, Pedro A., Gratz, Johannes, Gravesteijn, Benjamin, Grossi, Francesca, Gruen, Russell L., Gupta, Deepak, Haagsma, Juanita A., Haitsma, Iain, Helbok, Raimund, Helseth, Eirik, Horton, Lindsay, Huijben, Jilske, Hutchinson, Peter J., Jacobs, Bram, Jankowski, Stefan, Jarrett, Mike, Jiang, Ji-yao, Johnson, Faye, Jones, Kelly, Karan, Mladen, Kolias, Angelos G., Kompanje, Erwin, Kondziella, Daniel, Kornaropoulos, Evgenios, Koskinen, Lars-Owe, Kovács, Noémi, Kowark, Ana, Lagares, Alfonso, Lanyon, Linda, Laureys, Steven, Lecky, Fiona, Ledoux, Didier, Lefering, Rolf, Legrand, Valerie, Lejeune, Aurelie, Levi, Leon, Lightfoot, Roger, Lingsma, Hester, Maegele, Marc, Majdan, Marek, Manara, Alex, Manley, Geoffrey, Maréchal, Hugues, Martino, Costanza, Mattern, Julia, McMahon, Catherine, Melegh, Béla, Menovsky, Tomas, Mikolic, Ana, Misset, Benoit, Muraleedharan, Visakh, Murray, Lynnette, Nair, Nandesh, Negru, Ancuta, Nelson, David, Nieboer, Daan, Nyirádi, József, Oresic, Matej, Ortolano, Fabrizio, Otesile, Olubukola, Palotie, Aarno, Parizel, Paul M., Payen, Jean-François, Perera, Natascha, Perlbarg, Vincent, Persona, Paolo, Peul, Wilco, Piippo-Karjalainen, Anna, Pirinen, Matti, Pisica, Dana, Ples, Horia, Polinder, Suzanne, Pomposo, Inigo, Posti, Jussi P., Puybasset, Louis, Rădoi, Andreea, Ragauskas, Arminas, Raj, Rahul, Rambadagalla, Malinka, Helmrich, Isabel Retel, Rhodes, Jonathan, Richardson, Sylvia, Richter, Sophie, Ripatti, Samuli, Rocka, Saulius, Roe, Cecilie, Roise, Olav, Rosand, Jonathan, Rosenfeld, Jeffrey, Rosenlund, Christina, Rosenthal, Guy, Rossaint, Rolf, Rossi, Sandra, Rueckert, Daniel, Rusnák, Martin, Sahuquillo, Juan, Sakowitz, Oliver, Sanchez-Porras, Renan, Sandor, Janos, Schäfer, Nadine, Schmidt, Silke, Schoechl, Herbert, Schoonman, Guus, Schou, Rico Frederik, Schwendenwein, Elisabeth, Singh, Ranjit D., Sewalt, Charlie, Skandsen, Toril, Smielewski, Peter, Sorinola, Abayomi, Stamatakis, Emmanuel, Stanworth, Simon, Stevens, Robert, Stewart, William, Steyerberg, Ewout W., Stocchetti, Nino, Sundström, Nina, Takala, Riikka, Tamás, Viktória, Tamosuitis, Tomas, Taylor, Mark Steven, Ao, Braden Te, Tenovuo, Olli, Theadom, Alice, Thomas, Matt, Thibaut, Aurore, Tibboel, Dick, Timmers, Marjolijn, Tolias, Christos, Trapani, Tony, Tudora, Cristina Maria, Unterberg, Andreas, Vajkoczy, Peter, Valeinis, Egils, Vallance, Shirley, Vámos, Zoltán, van der Jagt, Mathieu, van der Naalt, Joukje, Van der Steen, Gregory, van Dijck, Jeroen T.J.M., van Erp, Inge A., van Essen, Thomas A., Van Hecke, Wim, van Heugten, Caroline, Van Praag, Dominique, van Veen, Ernest, van Wijk, Roel P.J., Vyvere, Thijs Vande, Vargiolu, Alessia, Vega, Emmanuel, Velt, Kimberley, Verheyden, Jan, Vespa, Paul M., Vik, Anne, Vilcinis, Rimantas, Volovici, Victor, von Steinbüchel, Nicole, Voormolen, Daphne, Vulekovic, Peter, Wang, Kevin K.W., Wiegers, Eveline, Williams, Guy, Winzeck, Stefan, Wolf, Stefan, Yang, Zhihui, Ylén, Peter, Younsi, Alexander, Zeiler, Frederick A., Zelinkova, Veronika, Ziverte, Agate, Zoerle, Tommaso, Wilson, Lindsay, Newcombe, Virginia F.J., Whitehouse, Daniel P., Mondello, Stefania, Maas, Andrew I.R., and Menon, David K.

Published
2024
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50. Introduction

Author

Jörissen, Benjamin, Unterberg, Lisa, Klepacki, Tanja, Lum, Chee-Hoo, Series Editor, Jörissen, Benjamin, editor, Unterberg, Lisa, editor, and Klepacki, Tanja, editor

Published
2023
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