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108 results on '"de Witt Hamer, P. C."'

4. Understanding the association between fatigue and neurocognitive functioning in patients with glioma: A cross-sectional multinational study

Author

Röttgering, Jantine G, Taylor, Jennie W, Brie, Melissa, Luks, Tracy, Hervey-Jumper, Shawn L, Phan, Stephanie, Bracci, Paige M, Smith, Ellen, De Witt Hamer, Philip C, Douw, Linda, Weyer-Jamora, Christina, and Klein, Martin

Subjects
Biomedical and Clinical Sciences, Neurosciences, Oncology and Carcinogenesis, Clinical Research, Brain Disorders, Behavioral and Social Science, Basic Behavioral and Social Science, Brain Cancer, Cancer, Rare Diseases, attention, brain neoplasms, cognition, fatigue, patient-reported outcome measures, Oncology and carcinogenesis
Abstract

Abstract: Background: Fatigue and neurocognitive impairment are highly prevalent in patients with glioma, significantly impacting health-related quality of life. Despite the presumed association between these two factors, evidence remains sparse. Therefore, we aimed to investigate this relationship using multinational data. Methods: We analyzed data on self-reported fatigue and neurocognitive outcomes from postoperative patients with glioma from the University of California San Francisco (n = 100, UCSF) and Amsterdam University Medical Center (n = 127, Amsterdam UMC). We used multiple linear regression models to assess associations between fatigue and seven (sub)domains of neurocognitive functioning and latent profile analysis to identify distinct patterns of fatigue and neurocognitive functioning. Results: UCSF patients were older (median age 49 vs. 43 years, P = .002), had a higher proportion of grade 4 tumors (32% vs. 18%, P = .03), and had more neurocognitive deficits (P = .01). While the number of clinically fatigued patients was similar between sites (64% vs. 58%, P = .12), fatigue and the number of impaired neurocognitive domains were not correlated (P = .16–.72). At UCSF, neurocognitive domains were not related to fatigue, and at Amsterdam UMC attention and semantic fluency explained only 4–7% of variance in fatigue. Across institutions, we identified four distinct patterns of neurocognitive functioning, which were not consistently associated with fatigue. Conclusions: Although individual patients might experience both fatigue and neurocognitive impairment, the relationship between the two is weak. Consequently, both fatigue and neurocognitive functioning should be independently assessed and treated with targeted therapies.

Published
2024

5. Genes associated with cognitive ability and HAR show overlapping expression patterns in human cortical neuron types

Author

Driessens, Stan L. W., Galakhova, Anna A., Heyer, Djai B., Pieterse, Isabel J., Wilbers, René, Mertens, Eline J., Waleboer, Femke, Heistek, Tim S., Coenen, Loet, Meijer, Julia R., Idema, Sander, de Witt Hamer, Philip C., Noske, David P., de Kock, Christiaan P. J., Lee, Brian R., Smith, Kimberly, Ting, Jonathan T., Lein, Ed S., Mansvelder, Huibert D., and Goriounova, Natalia A.

Published
2023
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7. Rapid early progression (REP) of glioblastoma is an independent negative prognostic factor: Results from a systematic review and meta-analysis

Author

Waqar, Mueez, Roncaroli, Federico, Lehrer, Eric J, Palmer, Joshua D, Villanueva-Meyer, Javier, Braunstein, Steve, Hall, Emma, Aznar, Marianne, De Witt Hamer, Philip C, D’Urso, Pietro I, Trifiletti, Daniel, Quiñones-Hinojosa, Alfredo, Wesseling, Pieter, and Bors, Gerben R

Subjects
Biomedical and Clinical Sciences, Clinical Sciences, Oncology and Carcinogenesis, Brain Disorders, Cancer, Brain Cancer, Rare Diseases, Biomedical Imaging, extent of resection, glioblastoma, IDH, MGMT, prognosis, progression, recurrence, REP, survival
Abstract

BackgroundIn patients with newly diagnosed glioblastoma, rapid early progression (REP) refers to tumor regrowth between surgery and postoperative chemoradiotherapy. This systematic review and meta-analysis appraised previously published data on REP to better characterize and understand it.MethodsSystematic searches of MEDLINE, EMBASE and the Cochrane database from inception to October 21, 2021. Studies describing the incidence of REP-tumor growth between the postoperative MRI scan and pre-radiotherapy MRI scan in newly diagnosed glioblastoma were included. The primary outcome was REP incidence.ResultsFrom 1590 search results, 9 studies were included with 716 patients. The median age was 56.9 years (IQR 54.0-58.8 y). There was a male predominance with a median male-to-female ratio of 1.4 (IQR 1.1-1.5). The median number of days between MRI scans was 34 days (IQR 18-45 days). The mean incidence rate of REP was 45.9% (range 19.3%-72.0%) and significantly lower in studies employing functional imaging to define REP (P

Published
2022

8. Spatial concordance of DNA methylation classification in diffuse glioma

Author

Verburg, Niels, Barthel, Floris P, Anderson, Kevin J, Johnson, Kevin C, Koopman, Thomas, Yaqub, Maqsood M, Hoekstra, Otto S, Lammertsma, Adriaan A, Barkhof, Frederik, Pouwels, Petra JW, Reijneveld, Jaap C, Rozemuller, Annemieke JM, Beliën, Jeroen AM, Boellaard, Ronald, Taylor, Michael D, Das, Sunit, Costello, Joseph F, Vandertop, William Peter, Wesseling, Pieter, de Witt Hamer, Philip C, and Verhaak, Roel GW

Subjects
Biomedical and Clinical Sciences, Clinical Sciences, Oncology and Carcinogenesis, Rare Diseases, Brain Cancer, Clinical Research, Neurosciences, Cancer, Orphan Drug, Genetics, Human Genome, Biomedical Imaging, Brain Disorders, Adult, Brain Neoplasms, DNA Methylation, Glioma, Humans, Isocitrate Dehydrogenase, Mutation, Oligodendroglioma, DNA methylation classification, epigenetics, glioma, imaging, intratumoral heterogeneity, Oncology & Carcinogenesis, Oncology and carcinogenesis
Abstract

BackgroundIntratumoral heterogeneity is a hallmark of diffuse gliomas. DNA methylation profiling is an emerging approach in the clinical classification of brain tumors. The goal of this study is to investigate the effects of intratumoral heterogeneity on classification confidence.MethodsWe used neuronavigation to acquire 133 image-guided and spatially separated stereotactic biopsy samples from 16 adult patients with a diffuse glioma (7 IDH-wildtype and 2 IDH-mutant glioblastoma, 6 diffuse astrocytoma, IDH-mutant and 1 oligodendroglioma, IDH-mutant and 1p19q codeleted), which we characterized using DNA methylation arrays. Samples were obtained from regions with and without abnormalities on contrast-enhanced T1-weighted and fluid-attenuated inversion recovery MRI. Methylation profiles were analyzed to devise a 3-dimensional reconstruction of (epi)genetic heterogeneity. Tumor purity was assessed from clonal methylation sites.ResultsMolecular aberrations indicated that tumor was found outside imaging abnormalities, underlining the infiltrative nature of this tumor and the limitations of current routine imaging modalities. We demonstrate that tumor purity is highly variable between samples and explains a substantial part of apparent epigenetic spatial heterogeneity. We observed that DNA methylation subtypes are often, but not always, conserved in space taking tumor purity and prediction accuracy into account.ConclusionOur results underscore the infiltrative nature of diffuse gliomas and suggest that DNA methylation subtypes are relatively concordant in this tumor type, although some heterogeneity exists.

Published
2021

11. A systematic review on the use of quantitative imaging to detect cancer therapy adverse effects in normal-appearing brain tissue

Author

Petr, Jan, Hogeboom, Louise, Nikulin, Pavel, Wiegers, Evita, Schroyen, Gwen, Kallehauge, Jesper, Chmelík, Marek, Clement, Patricia, Nechifor, Ruben E., Fodor, Liviu-Andrei, De Witt Hamer, Philip C., Barkhof, Frederik, Pernet, Cyril, Lequin, Maarten, Deprez, Sabine, Jančálek, Radim, Mutsaerts, Henk J. M. M., Pizzini, Francesca B., Emblem, Kyrre E., and Keil, Vera C.

Published
2022
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12. Human neocortical expansion involves glutamatergic neuron diversification

Author

Berg, Jim, Sorensen, Staci A., Ting, Jonathan T., Miller, Jeremy A., Chartrand, Thomas, Buchin, Anatoly, Bakken, Trygve E., Budzillo, Agata, Dee, Nick, Ding, Song-Lin, Gouwens, Nathan W., Hodge, Rebecca D., Kalmbach, Brian, Lee, Changkyu, Lee, Brian R., Alfiler, Lauren, Baker, Katherine, Barkan, Eliza, Beller, Allison, Berry, Kyla, Bertagnolli, Darren, Bickley, Kris, Bomben, Jasmine, Braun, Thomas, Brouner, Krissy, Casper, Tamara, Chong, Peter, Crichton, Kirsten, Dalley, Rachel, de Frates, Rebecca, Desta, Tsega, Lee, Samuel Dingman, D’Orazi, Florence, Dotson, Nadezhda, Egdorf, Tom, Enstrom, Rachel, Farrell, Colin, Feng, David, Fong, Olivia, Furdan, Szabina, Galakhova, Anna A., Gamlin, Clare, Gary, Amanda, Glandon, Alexandra, Goldy, Jeff, Gorham, Melissa, Goriounova, Natalia A., Gratiy, Sergey, Graybuck, Lucas, Gu, Hong, Hadley, Kristen, Hansen, Nathan, Heistek, Tim S., Henry, Alex M., Heyer, Djai B., Hill, DiJon, Hill, Chris, Hupp, Madie, Jarsky, Tim, Kebede, Sara, Keene, Lisa, Kim, Lisa, Kim, Mean-Hwan, Kroll, Matthew, Latimer, Caitlin, Levi, Boaz P., Link, Katherine E., Mallory, Matthew, Mann, Rusty, Marshall, Desiree, Maxwell, Michelle, McGraw, Medea, McMillen, Delissa, Melief, Erica, Mertens, Eline J., Mezei, Leona, Mihut, Norbert, Mok, Stephanie, Molnar, Gabor, Mukora, Alice, Ng, Lindsay, Ngo, Kiet, Nicovich, Philip R., Nyhus, Julie, Olah, Gaspar, Oldre, Aaron, Omstead, Victoria, Ozsvar, Attila, Park, Daniel, Peng, Hanchuan, Pham, Trangthanh, Pom, Christina A., Potekhina, Lydia, Rajanbabu, Ramkumar, Ransford, Shea, Reid, David, Rimorin, Christine, Ruiz, Augustin, Sandman, David, Sulc, Josef, Sunkin, Susan M., Szafer, Aaron, Szemenyei, Viktor, Thomsen, Elliot R., Tieu, Michael, Torkelson, Amy, Trinh, Jessica, Tung, Herman, Wakeman, Wayne, Waleboer, Femke, Ward, Katelyn, Wilbers, René, Williams, Grace, Yao, Zizhen, Yoon, Jae-Geun, Anastassiou, Costas, Arkhipov, Anton, Barzo, Pal, Bernard, Amy, Cobbs, Charles, de Witt Hamer, Philip C., Ellenbogen, Richard G., Esposito, Luke, Ferreira, Manuel, Gwinn, Ryder P., Hawrylycz, Michael J., Hof, Patrick R., Idema, Sander, Jones, Allan R., Keene, C. Dirk, Ko, Andrew L., Murphy, Gabe J., Ng, Lydia, Ojemann, Jeffrey G., Patel, Anoop P., Phillips, John W., Silbergeld, Daniel L., Smith, Kimberly, Tasic, Bosiljka, Yuste, Rafael, Segev, Idan, de Kock, Christiaan P. J., Mansvelder, Huibert D., Tamas, Gabor, Zeng, Hongkui, Koch, Christof, and Lein, Ed S.

Published
2021
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13. Single-cell multimodal glioma analyses identify epigenetic regulators of cellular plasticity and environmental stress response

Author

Johnson, Kevin C., Anderson, Kevin J., Courtois, Elise T., Gujar, Amit D., Barthel, Floris P., Varn, Frederick S., Luo, Diane, Seignon, Martine, Yi, Eunhee, Kim, Hoon, Estecio, Marcos R. H., Zhao, Dacheng, Tang, Ming, Navin, Nicholas E., Maurya, Rahul, Ngan, Chew Yee, Verburg, Niels, de Witt Hamer, Philip C., Bulsara, Ketan, Samuels, Michael L., Das, Sunit, Robson, Paul, and Verhaak, Roel G. W.

Published
2021
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15. Between‐hospital variation in rates of complications and decline of patient performance after glioblastoma surgery in the dutch Quality Registry Neuro Surgery

Author

Kommers, Ivar, Ackermans, Linda, Ardon, Hilko, van den Brink, Wimar A., Bouwknegt, Wim, Balvers, Rutger K., van der Gaag, Niels, Bosscher, Lisette, Kloet, Alfred, Koopmans, Jan, Laan, Mark ter, Tewarie, Rishi Nandoe, Robe, Pierre A., van der Veer, Olivier, Wagemakers, Michiel, Zwinderman, Aeilko H., and De Witt Hamer, Philip C.

Published
2021
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18. Between-hospital variation in mortality and survival after glioblastoma surgery in the Dutch Quality Registry for Neuro Surgery

Author

De Witt Hamer, Philip C., Ho, Vincent K. Y., Zwinderman, Aeilko H., Ackermans, Linda, Ardon, Hilko, Boomstra, Sytske, Bouwknegt, Wim, van den Brink, Wimar A., Dirven, Clemens M., van der Gaag, Niels A., van der Veer, Olivier, Idema, Albert J. S., Kloet, Alfred, Koopmans, Jan, ter Laan, Mark, Verstegen, Marco J. T., Wagemakers, Michiel, Robe, Pierre A. J. T., and on behalf of the Quality Registry Neuro Surgery glioblastoma working group from the Dutch Society of Neurosurgery

Published
2019
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20. Author Correction: Human neocortical expansion involves glutamatergic neuron diversification

Author

Berg, Jim, Sorensen, Staci A., Ting, Jonathan T., Miller, Jeremy A., Chartrand, Thomas, Buchin, Anatoly, Bakken, Trygve E., Budzillo, Agata, Dee, Nick, Ding, Song-Lin, Gouwens, Nathan W., Hodge, Rebecca D., Kalmbach, Brian, Lee, Changkyu, Lee, Brian R., Alfiler, Lauren, Baker, Katherine, Barkan, Eliza, Beller, Allison, Berry, Kyla, Bertagnolli, Darren, Bickley, Kris, Bomben, Jasmine, Braun, Thomas, Brouner, Krissy, Casper, Tamara, Chong, Peter, Crichton, Kirsten, Dalley, Rachel, de Frates, Rebecca, Desta, Tsega, Lee, Samuel Dingman, D’Orazi, Florence, Dotson, Nadezhda, Egdorf, Tom, Enstrom, Rachel, Farrell, Colin, Feng, David, Fong, Olivia, Furdan, Szabina, Galakhova, Anna A., Gamlin, Clare, Gary, Amanda, Glandon, Alexandra, Goldy, Jeff, Gorham, Melissa, Goriounova, Natalia A., Gratiy, Sergey, Graybuck, Lucas, Gu, Hong, Hadley, Kristen, Hansen, Nathan, Heistek, Tim S., Henry, Alex M., Heyer, Djai B., Hill, DiJon, Hill, Chris, Hupp, Madie, Jarsky, Tim, Kebede, Sara, Keene, Lisa, Kim, Lisa, Kim, Mean-Hwan, Kroll, Matthew, Latimer, Caitlin, Levi, Boaz P., Link, Katherine E., Mallory, Matthew, Mann, Rusty, Marshall, Desiree, Maxwell, Michelle, McGraw, Medea, McMillen, Delissa, Melief, Erica, Mertens, Eline J., Mezei, Leona, Mihut, Norbert, Mok, Stephanie, Molnar, Gabor, Mukora, Alice, Ng, Lindsay, Ngo, Kiet, Nicovich, Philip R., Nyhus, Julie, Olah, Gaspar, Oldre, Aaron, Omstead, Victoria, Ozsvar, Attila, Park, Daniel, Peng, Hanchuan, Pham, Trangthanh, Pom, Christina A., Potekhina, Lydia, Rajanbabu, Ramkumar, Ransford, Shea, Reid, David, Rimorin, Christine, Ruiz, Augustin, Sandman, David, Sulc, Josef, Sunkin, Susan M., Szafer, Aaron, Szemenyei, Viktor, Thomsen, Elliot R., Tieu, Michael, Torkelson, Amy, Trinh, Jessica, Tung, Herman, Wakeman, Wayne, Waleboer, Femke, Ward, Katelyn, Wilbers, René, Williams, Grace, Yao, Zizhen, Yoon, Jae-Geun, Anastassiou, Costas, Arkhipov, Anton, Barzo, Pal, Bernard, Amy, Cobbs, Charles, de Witt Hamer, Philip C., Ellenbogen, Richard G., Esposito, Luke, Ferreira, Manuel, Gwinn, Ryder P., Hawrylycz, Michael J., Hof, Patrick R., Idema, Sander, Jones, Allan R., Keene, C. Dirk, Ko, Andrew L., Murphy, Gabe J., Ng, Lydia, Ojemann, Jeffrey G., Patel, Anoop P., Phillips, John W., Silbergeld, Daniel L., Smith, Kimberly, Tasic, Bosiljka, Yuste, Rafael, Segev, Idan, de Kock, Christiaan P. J., Mansvelder, Huibert D., Tamas, Gabor, Zeng, Hongkui, Koch, Christof, and Lein, Ed S.

Published
2022
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24. Imaging practice in low-grade gliomas among European specialized centers and proposal for a minimum core of imaging

Author

Freyschlag, Christian F., Krieg, Sandro M., Kerschbaumer, Johannes, Pinggera, Daniel, Forster, Marie-Therese, Cordier, Dominik, Rossi, Marco, Miceli, Gabriele, Roux, Alexandre, Reyes, Andrés, Sarubbo, Silvio, Smits, Anja, Sierpowska, Joanna, Robe, Pierre A., Rutten, Geert-Jan, Santarius, Thomas, Matys, Tomasz, Zanello, Marc, Almairac, Fabien, Mondot, Lydiane, Jakola, Asgeir S., Zetterling, Maria, Rofes, Adrià, von Campe, Gord, Guillevin, Remy, Bagatto, Daniele, Lubrano, Vincent, Rapp, Marion, Goodden, John, De Witt Hamer, Philip C., Pallud, Johan, Bello, Lorenzo, Thomé, Claudius, Duffau, Hugues, and Mandonnet, Emmanuel

Published
2018
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27. THE RELATION BETWEEN EXECUTIVE FUNCTIONING AND MEG MULTILAYER NETWORK CENTRALITY IN GLIOMA PATIENTS

Author

van Lingen, M. R., Breedt, L. C., Hillebrand, A., Klein, M., Kouwenhoven, M. C. M., Reijneveld, J. C., De Witt Hamer, P. C., Zimmermann, M. L. M., Santos, F. A. N., Douw, L., General practice, Anatomy and neurosciences, Neurology, Amsterdam Neuroscience - Brain Imaging, Amsterdam Neuroscience - Systems & Network Neuroscience, Medical psychology, CCA - Cancer Treatment and quality of life, and Neurosurgery

Published
2022

28. P11.37.B When to resect or biopsy for patients with supratentorial glioblastoma: a multivariable prediction model

Author

Kommers, I O, primary, Eijgelaar, R S, additional, Barkhof, F, additional, Bouget, D, additional, Pedersen, A, additional, Ardon, H, additional, Bello, L, additional, Berger, M S, additional, Bouwknegt, W, additional, Conti Nibali, M, additional, Furtner, J, additional, Han, S J, additional, Hervey-Jumper, S, additional, Idema, A J S, additional, Kiesel, B, additional, Kloet, A, additional, Nandoe Tewarie, R, additional, Mandonnet, E, additional, Reinertsen, I, additional, Robe, P A, additional, Rossi, M, additional, Sciortino, T, additional, Solheim, O, additional, van den Brink, W A, additional, Vandertop, P W, additional, Wagemakers, M, additional, Widhalm, G, additional, Witte, M G, additional, Zwinderman, A H, additional, and De Witt Hamer, P C, additional

Published
2022
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31. P01.03.B A quantitative comparison of cognitive performance and patient-reported symptoms in preoperative lower-grade glioma patients from two Dutch Hospitals

Author

Belgers, V, primary, van Buijtene, W, additional, Butterbrod, E, additional, Röttgering, J G, additional, Douw, L, additional, De Witt Hamer, P C, additional, Rutten, G M, additional, Klein, M, additional, De Baene, W, additional, Kouwenhoven, M C M, additional, and Gehring, K, additional

Published
2022
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34. A quantitative comparison of cognitive performance and patient-reported symptoms in preoperative lower-grade glioma patients from two Dutch Hospitals

Author

Belgers, null, van Buijtene, W., Butterbrod, E., Rottgering, J. G., Douw, L., De Witt Hamer, P. C., Rutten, G. M., Klein, M., De Baene, W., Kouwenhoven, M. C. M., Gehring, K., Belgers, null, van Buijtene, W., Butterbrod, E., Rottgering, J. G., Douw, L., De Witt Hamer, P. C., Rutten, G. M., Klein, M., De Baene, W., Kouwenhoven, M. C. M., and Gehring, K.

Published
2022

35. A quantitative comparison of cognitive performance and patient-reported symptoms in preoperative lower-grade glioma patients from two Dutch Hospitals

Author

Belgers, van Buijtene, W., Butterbrod, E., Rottgering, J. G., Douw, L., De Witt Hamer, P. C., Rutten, G. M., Klein, M., De Baene, W., Kouwenhoven, M. C. M., Gehring, K., and Cognitive Neuropsychology

Abstract

Background Protocols for assessment of (neuro)psychological outcomes in lower-grade glioma patients vary between hospitals. This potentially complicates generalization of these outcomes. We compared standardized scores on tests of two frequently impaired cognitive domains (attention and executive functioning (EF)), and two relevant patient-reported outcomes (PROs; depression and fatigue) of two neuro-oncological hospitals that use different measurement instruments. Material and Methods Data were used from preoperative assessments of patients with (IDH-mut) WHO grade II/III glioma tested between 2007 and 2021 at Amsterdam UMC (AMS) or at Elisabeth-Tweesteden Hospital Tilburg (ETZ). AMS patients were referred for (neuro)psychological assessment based on physician and patient preference (paper and pencil tests), whereas all ETZ patients routinely undergo screening (computerized tests). To compare scores of the different attention and EF tests we converted patients’ performances to z-scores based on normative data. For cognitive performance, we compared scores of different cognitive flexibility tests (CST vs SAT), processing speed tests (SDC vs LDMT), and Stroop tests (Stroop I and Stroop III). PROs included the CES-D vs HADS-D and the CIS-fatigue vs MVI-general fatigue (AMS vs ETZ, resp.). Differences were tested using Fisher's, χ 2, and Mann-Whitney U tests. Results Assessments were done median 4 weeks (AMS, n=97, range 19-0 weeks) and 1 day (ETZ, n=106; range 14-0 days) preoperatively. Age, sex, tumor location and histology were comparable between cohorts (p>0.05), but the AMS cohort showed significantly more grade III tumors (36% vs 16%) and more awake surgeries (84% vs 46%). Z-scores measuring attention and EF (n=94 and n=95, AMS vs ETZ) were not significantly different (CST vs SAT, percentage with a disorder (z

Published
2022

36. P14.40 Trends in distribution of glioblastoma care and patient’s travel distance; results from the Dutch Brain Tumor Registry

Author

De Swart, M E, primary, Ho, V K Y, additional, Lagerwaard, F J, additional, Brandsma, D, additional, Broen, M P, additional, French, P, additional, Gijtenbeek, A, additional, Geurts, M, additional, Hanse, M C J, additional, Idema, B, additional, Klein, M, additional, Koekkoek, J A F, additional, Polman, S K, additional, Samuels, C W, additional, Seute, T, additional, Sijben, A E J, additional, Smits, M, additional, Vos, M J, additional, Walenkamp, A M E, additional, Wesseling, P, additional, De Witt Hamer, P C, additional, and Kouwenhoven, M C M, additional

Published
2021
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37. P12.07 The potential of cannabinoids to improve quality of life in glioma patients: A meta-analysis in patients with neurological and oncological disease

Author

Belgers, V, primary, Röttgering, J G, additional, Douw, L, additional, Klein, M, additional, van de Ven, P M, additional, Ket, J C F, additional, Bacher Svendsen, K, additional, Weber, M, additional, Lopez-Sendon, J, additional, Olde Rikkert, M G, additional, Chagas, M H N, additional, van Linde, M E, additional, Kouwenhoven, M C M, additional, and de Witt Hamer, P C, additional

Published
2021
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38. P14.13 Severe hematological toxicity during chemoradiation for glioblastoma: Identification of clinical and pharmacological risk factors and consequences for the individual patient

Author

Grun, N, primary, den Otter, C A, additional, Sintemaartensdijk, M, additional, Osinga, J, additional, van den Elzen, F E L, additional, van der Vegt, A N, additional, de Haan, J, additional, Bruynzeel, A M E, additional, van Linde, M E, additional, Postma, T J, additional, Schuur, M, additional, de Witt Hamer, P C, additional, De Vos, F Y F L, additional, Verhoeff, J J C, additional, Jongen, J L M, additional, Lissenberg-witte, B I, additional, and Kouwenhoven, M C M, additional

Published
2021
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39. P14.31 Between hospital variation in timings to multidisciplinary glioblastoma care in the Dutch Brain Tumor Registry

Author

De Swart, M E, primary, Ho, V K Y, additional, Lagerwaard, F J, additional, Brandsma, D, additional, Broen, M P, additional, French, P, additional, Gijtenbeek, A, additional, Geurts, M, additional, Hanse, M C J, additional, Idema, B, additional, Klein, M, additional, Koekkoek, J A F, additional, Polman, S K, additional, Samuels, C W, additional, Seute, T, additional, Sijben, A E J, additional, Smits, M, additional, Vos, M J, additional, Walenkamp, A M E, additional, Wesseling, P, additional, Kouwenhoven, M C M, additional, and De Witt Hamer, P C, additional

Published
2021
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41. Between-hospital variation in time to glioblastoma surgery: a report from the Quality Registry Neuro Surgery in the Netherlands.

Author

De Swart, Merijn E., Müller, Domenique M. J., Ardon, Hilko, Balvers, Rutger K., Bosscher, Lisette, Bouwknegt, Wim, van den Brink, Wimar A., Hovinga, Koos, Kloet, Alfred, Koopmans, Jan, Ter Laan, Mark, Nabuurs, Rob, Tewarie, Rishi Nandoe, Robe, Pierre A., van der Veer, Olivier, Viozzi, Ilaria, Wagemakers, Michiel, Zwinderman, Aeilko H., and De Witt Hamer, Philip C.

Published
2022
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48. Facing privacy in neuroimaging:removing facial features degrades performance of image analysis methods

Author

de Sitter, A, Visser, M, Brouwer, I, Cover, K S, van Schijndel, R A, Eijgelaar, R S, Müller, D M J, Ropele, S, Kappos, L, Rovira, Á, Filippi, M, Enzinger, C, Frederiksen, J, Ciccarelli, O, Guttmann, C R G, Wattjes, M P, Witte, M G, de Witt Hamer, P C, Barkhof, F, Vrenken, H, de Sitter, A, Visser, M, Brouwer, I, Cover, K S, van Schijndel, R A, Eijgelaar, R S, Müller, D M J, Ropele, S, Kappos, L, Rovira, Á, Filippi, M, Enzinger, C, Frederiksen, J, Ciccarelli, O, Guttmann, C R G, Wattjes, M P, Witte, M G, de Witt Hamer, P C, Barkhof, F, and Vrenken, H

Abstract

BACKGROUND: Recent studies have created awareness that facial features can be reconstructed from high-resolution MRI. Therefore, data sharing in neuroimaging requires special attention to protect participants' privacy. Facial features removal (FFR) could alleviate these concerns. We assessed the impact of three FFR methods on subsequent automated image analysis to obtain clinically relevant outcome measurements in three clinical groups.METHODS: FFR was performed using QuickShear, FaceMasking, and Defacing. In 110 subjects of Alzheimer's Disease Neuroimaging Initiative, normalized brain volumes (NBV) were measured by SIENAX. In 70 multiple sclerosis patients of the MAGNIMS Study Group, lesion volumes (WMLV) were measured by lesion prediction algorithm in lesion segmentation toolbox. In 84 glioblastoma patients of the PICTURE Study Group, tumor volumes (GBV) were measured by BraTumIA. Failed analyses on FFR-processed images were recorded. Only cases in which all image analyses completed successfully were analyzed. Differences between outcomes obtained from FFR-processed and full images were assessed, by quantifying the intra-class correlation coefficient (ICC) for absolute agreement and by testing for systematic differences using paired t tests.RESULTS: Automated analysis methods failed in 0-19% of cases in FFR-processed images versus 0-2% of cases in full images. ICC for absolute agreement ranged from 0.312 (GBV after FaceMasking) to 0.998 (WMLV after Defacing). FaceMasking yielded higher NBV (p = 0.003) and WMLV (p ≤ 0.001). GBV was lower after QuickShear and Defacing (both p < 0.001).CONCLUSIONS: All three outcome measures were affected differently by FFR, including failure of analysis methods and both "random" variation and systematic differences. Further study is warranted to ensure high-quality neuroimaging research while protecting participants' privacy.KEY POINTS: • Protecting participants' privacy when sharing MRI data is imp

Published
2020

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