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2. Federated Learning Enables Big Data for Rare Cancer Boundary Detection

Author

Pati, Sarthak, Baid, Ujjwal, Edwards, Brandon, Sheller, Micah, Wang, Shih-Han, Reina, G Anthony, Foley, Patrick, Gruzdev, Alexey, Karkada, Deepthi, Davatzikos, Christos, Sako, Chiharu, Ghodasara, Satyam, Bilello, Michel, Mohan, Suyash, Vollmuth, Philipp, Brugnara, Gianluca, Preetha, Chandrakanth J, Sahm, Felix, Maier-Hein, Klaus, Zenk, Maximilian, Bendszus, Martin, Wick, Wolfgang, Calabrese, Evan, Rudie, Jeffrey, Villanueva-Meyer, Javier, Cha, Soonmee, Ingalhalikar, Madhura, Jadhav, Manali, Pandey, Umang, Saini, Jitender, Garrett, John, Larson, Matthew, Jeraj, Robert, Currie, Stuart, Frood, Russell, Fatania, Kavi, Huang, Raymond Y, Chang, Ken, Balana, Carmen, Capellades, Jaume, Puig, Josep, Trenkler, Johannes, Pichler, Josef, Necker, Georg, Haunschmidt, Andreas, Meckel, Stephan, Shukla, Gaurav, Liem, Spencer, Alexander, Gregory S, Lombardo, Joseph, Palmer, Joshua D, Flanders, Adam E, Dicker, Adam P, Sair, Haris I, Jones, Craig K, Venkataraman, Archana, Jiang, Meirui, So, Tiffany Y, Chen, Cheng, Heng, Pheng Ann, Dou, Qi, Kozubek, Michal, Lux, Filip, Michálek, Jan, Matula, Petr, Keřkovský, Miloš, Kopřivová, Tereza, Dostál, Marek, Vybíhal, Václav, Vogelbaum, Michael A, Mitchell, J Ross, Farinhas, Joaquim, Maldjian, Joseph A, Yogananda, Chandan Ganesh Bangalore, Pinho, Marco C, Reddy, Divya, Holcomb, James, Wagner, Benjamin C, Ellingson, Benjamin M, Cloughesy, Timothy F, Raymond, Catalina, Oughourlian, Talia, Hagiwara, Akifumi, Wang, Chencai, To, Minh-Son, Bhardwaj, Sargam, Chong, Chee, Agzarian, Marc, Falcão, Alexandre Xavier, Martins, Samuel B, Teixeira, Bernardo C A, Sprenger, Flávia, Menotti, David, Lucio, Diego R, LaMontagne, Pamela, Marcus, Daniel, Wiestler, Benedikt, Kofler, Florian, Ezhov, Ivan, Metz, Marie, Jain, Rajan, Lee, Matthew, Lui, Yvonne W, McKinley, Richard, Slotboom, Johannes, Radojewski, Piotr, Meier, Raphael, Wiest, Roland, Murcia, Derrick, Fu, Eric, Haas, Rourke, Thompson, John, Ormond, David Ryan, Badve, Chaitra, Sloan, Andrew E, Vadmal, Vachan, Waite, Kristin, Colen, Rivka R, Pei, Linmin, Ak, Murat, Srinivasan, Ashok, Bapuraj, J Rajiv, Rao, Arvind, Wang, Nicholas, Yoshiaki, Ota, Moritani, Toshio, Turk, Sevcan, Lee, Joonsang, Prabhudesai, Snehal, Morón, Fanny, Mandel, Jacob, Kamnitsas, Konstantinos, Glocker, Ben, Dixon, Luke V M, Williams, Matthew, Zampakis, Peter, Panagiotopoulos, Vasileios, Tsiganos, Panagiotis, Alexiou, Sotiris, Haliassos, Ilias, Zacharaki, Evangelia I, Moustakas, Konstantinos, Kalogeropoulou, Christina, Kardamakis, Dimitrios M, Choi, Yoon Seong, Lee, Seung-Koo, Chang, Jong Hee, Ahn, Sung Soo, Luo, Bing, Poisson, Laila, Wen, Ning, Tiwari, Pallavi, Verma, Ruchika, Bareja, Rohan, Yadav, Ipsa, Chen, Jonathan, Kumar, Neeraj, Smits, Marion, van der Voort, Sebastian R, Alafandi, Ahmed, Incekara, Fatih, Wijnenga, Maarten MJ, Kapsas, Georgios, Gahrmann, Renske, Schouten, Joost W, Dubbink, Hendrikus J, Vincent, Arnaud JPE, Bent, Martin J van den, French, Pim J, Klein, Stefan, Yuan, Yading, Sharma, Sonam, Tseng, Tzu-Chi, Adabi, Saba, Niclou, Simone P, Keunen, Olivier, Hau, Ann-Christin, Vallières, Martin, Fortin, David, Lepage, Martin, Landman, Bennett, Ramadass, Karthik, Xu, Kaiwen, Chotai, Silky, Chambless, Lola B, Mistry, Akshitkumar, Thompson, Reid C, Gusev, Yuriy, Bhuvaneshwar, Krithika, Sayah, Anousheh, Bencheqroun, Camelia, Belouali, Anas, Madhavan, Subha, Booth, Thomas C, Chelliah, Alysha, Modat, Marc, Shuaib, Haris, Dragos, Carmen, Abayazeed, Aly, Kolodziej, Kenneth, Hill, Michael, Abbassy, Ahmed, Gamal, Shady, Mekhaimar, Mahmoud, Qayati, Mohamed, Reyes, Mauricio, Park, Ji Eun, Yun, Jihye, Kim, Ho Sung, Mahajan, Abhishek, Muzi, Mark, Benson, Sean, Beets-Tan, Regina G H, Teuwen, Jonas, Herrera-Trujillo, Alejandro, Trujillo, Maria, Escobar, William, Abello, Ana, Bernal, Jose, Gómez, Jhon, Choi, Joseph, Baek, Stephen, Kim, Yusung, Ismael, Heba, Allen, Bryan, Buatti, John M, Kotrotsou, Aikaterini, Li, Hongwei, Weiss, Tobias, Weller, Michael, Bink, Andrea, Pouymayou, Bertrand, Shaykh, Hassan F, Saltz, Joel, Prasanna, Prateek, Shrestha, Sampurna, Mani, Kartik M, Payne, David, Kurc, Tahsin, Pelaez, Enrique, Franco-Maldonado, Heydy, Loayza, Francis, Quevedo, Sebastian, Guevara, Pamela, Torche, Esteban, Mendoza, Cristobal, Vera, Franco, Ríos, Elvis, López, Eduardo, Velastin, Sergio A, Ogbole, Godwin, Oyekunle, Dotun, Odafe-Oyibotha, Olubunmi, Osobu, Babatunde, Shu'aibu, Mustapha, Dorcas, Adeleye, Soneye, Mayowa, Dako, Farouk, Simpson, Amber L, Hamghalam, Mohammad, Peoples, Jacob J, Hu, Ricky, Tran, Anh, Cutler, Danielle, Moraes, Fabio Y, Boss, Michael A, Gimpel, James, Veettil, Deepak Kattil, Schmidt, Kendall, Bialecki, Brian, Marella, Sailaja, Price, Cynthia, Cimino, Lisa, Apgar, Charles, Shah, Prashant, Menze, Bjoern, Barnholtz-Sloan, Jill S, Martin, Jason, and Bakas, Spyridon

Subjects
Computer Science - Machine Learning, Electrical Engineering and Systems Science - Image and Video Processing
Abstract

Although machine learning (ML) has shown promise in numerous domains, there are concerns about generalizability to out-of-sample data. This is currently addressed by centrally sharing ample, and importantly diverse, data from multiple sites. However, such centralization is challenging to scale (or even not feasible) due to various limitations. Federated ML (FL) provides an alternative to train accurate and generalizable ML models, by only sharing numerical model updates. Here we present findings from the largest FL study to-date, involving data from 71 healthcare institutions across 6 continents, to generate an automatic tumor boundary detector for the rare disease of glioblastoma, utilizing the largest dataset of such patients ever used in the literature (25,256 MRI scans from 6,314 patients). We demonstrate a 33% improvement over a publicly trained model to delineate the surgically targetable tumor, and 23% improvement over the tumor's entire extent. We anticipate our study to: 1) enable more studies in healthcare informed by large and diverse data, ensuring meaningful results for rare diseases and underrepresented populations, 2) facilitate further quantitative analyses for glioblastoma via performance optimization of our consensus model for eventual public release, and 3) demonstrate the effectiveness of FL at such scale and task complexity as a paradigm shift for multi-site collaborations, alleviating the need for data sharing., Comment: federated learning, deep learning, convolutional neural network, segmentation, brain tumor, glioma, glioblastoma, FeTS, BraTS

Published
2022
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3. Molecular biomarker-defined brain tumors: Epidemiology, validity, and completeness in the United States.

Author

Iorgulescu, J, Sun, Chuxuan, Neff, Corey, Cioffi, Gino, Gutierrez, Catherine, Kruchko, Carol, Ruhl, Jennifer, Waite, Kristin, Negoita, Serban, Hofferkamp, Jim, Tihan, Tarik, McLendon, Roger, Brat, Daniel, Ostrom, Quinn, and Barnholtz-Sloan, Jill

Subjects
CBTRUS, IDH, biomarkers, brain tumor, molecular epidemiology, Young Adult, Adolescent, Child, Humans, United States, Brain Neoplasms, Glioma, Astrocytoma, Glioblastoma, Biomarkers, Isocitrate Dehydrogenase, Mutation
Abstract

BACKGROUND: Selected molecular biomarkers were incorporated into the US cancer registry reporting for patients with brain tumors beginning in 2018. We investigated the completeness and validity of these variables and described the epidemiology of molecularly defined brain tumor types. METHODS: Brain tumor patients with histopathologically confirmed diagnosis in 2018 were identified within the Central Brain Tumor Registry of the United States and NCIs Surveillance, Epidemiology, and End Results Incidence databases. The brain molecular markers (BMM) site-specific data item was assessed for coding completeness and validity. 1p/19q status, MGMT promoter methylation, WHO grade data items, and new ICD-O-3 codes were additionally evaluated. These data were used to profile the characteristics and age-adjusted incidence rates per 100 000 population of molecularly defined brain tumors with 95% confidence intervals (95% CI). RESULTS: BMM completeness across the applicable tumor types was 75%-92% and demonstrated favorable coding validity. IDH-wildtype glioblastomas incidence rate was 1.74 (95% CI: 1.69-1.78), as compared to 0.14 for WHO grade 2 (95% CI: 0.12-0.15), 0.15 for grade 3 (95% CI: 0.14-0.16), and 0.07 for grade 4 (95% CI: 0.06-0.08) IDH-mutant astrocytomas. Irrespective of WHO grade, IDH mutation prevalence was highest in adolescent and young adult patients, and IDH-mutant astrocytomas were more frequently MGMT promoter methylated. Among pediatric-type tumors, the incidence rate was 0.06 for H3K27M-mutant diffuse midline gliomas (95% CI: 0.05-0.07), 0.03 for SHH-activated/TP53-wildtype medulloblastomas (95% CI: 0.02-0.03), and

Published
2022

4. A population study of clinical trial accrual for women and minorities in neuro-oncology following the NIH Revitalization Act.

Author

Reihl, Sheantel J, Patil, Nirav, Morshed, Ramin A, Mehari, Mulki, Aabedi, Alexander, Chukwueke, Ugonma N, Porter, Alyx B, Fontil, Valy, Cioffi, Gino, Waite, Kristin, Kruchko, Carol, Ostrom, Quinn, Barnholtz-Sloan, Jill, and Hervey-Jumper, Shawn L

Subjects
Clinical Research, Clinical Trials and Supportive Activities, Cancer, Good Health and Well Being, Clinical Trials as Topic, Female, Humans, Male, Minority Groups, National Institutes of Health (U.S.), Neoplasms, Patient Selection, Research Design, United States, clinical trials, clinical trial accrual, disparities, glioma, Neurosciences, Oncology and Carcinogenesis, Oncology & Carcinogenesis
Abstract

BackgroundThe NIH Revitalization Act, implemented 29 years ago, set to improve the representation of women and minorities in clinical trials. In this study, we investigate progress made in all phase therapeutic clinical trials for neuroepithelial CNS tumors stratified by demographic-specific age-adjusted disease incidence and mortality. Additionally, we identify workforce characteristics associated with clinical trials meeting established accrual benchmarks.MethodsRegistry study of published clinical trials for World Health Organization defined neuroepithelial CNS tumors between January 2000 and December 2019. Study participants were obtained from PubMed and ClinicalTrials.gov. Population-based data originated from the CBTRUS for incidence analyses. SEER-18 Incidence-Based Mortality data was used for mortality analysis. Descriptive statistics, Fisher exact, and χ 2 tests were used for data analysis.ResultsAmong 662 published clinical trials representing 49 907 participants, 62.5% of participants were men and 37.5% women (P < .0001) representing a mortality specific over-accrual for men (P = .001). Whites, Asians, Blacks, and Hispanics represented 91.7%, 1.5%, 2.6%, and 1.7% of trial participants. Compared with mortality, Blacks (47% of expected mortality, P = .008), Hispanics (17% of expected mortality, P < .001) and Asians (33% of expected mortality, P < .001) were underrepresented compared with Whites (114% of expected mortality, P < .001). Clinical trials meeting accrual benchmarks for race included minority authorship.ConclusionsFollowing the Revitalization Act, minorities and women remain underrepresented in therapeutic clinical trials for neuroepithelial tumors, relative to disease incidence and mortality. Study accrual has improved with time. This study provides a framework for clinical trial accrual efforts and offers guidance regarding workforce considerations associated with enrollment of underserved patients.

Published
2022

5. Aligning the Central Brain Tumor Registry of the United States (CBTRUS) histology groupings with current definitions.

Author

Waite, Kristin A, Cioffi, Gino, Kruchko, Carol, Patil, Nirav, Brat, Daniel J, Bruner, Janet M, McLendon, Roger E, Tihan, Tarik, Ostrom, Quinn T, and Barnholtz-Sloan, Jill S

Subjects
Biomedical and Clinical Sciences, Clinical Sciences, Rare Diseases, Cancer, Neurosciences, brain tumors, epidemiology, histology, CBTRUS, Oncology and carcinogenesis
Abstract

BackgroundThe Central Brain Tumor Registry of the United States (CBTRUS) uses a histology grouping model based on the World Health Organization (WHO) classifications to group records for clinically relevant statistical reporting. Newly identified genetic markers more accurately stratify patients than histology alone and were incorporated into the 2016 update to the WHO Classification.MethodsCBTRUS and consulting neuropathologists reviewed and aligned histology groupings with the 2016 WHO update. "Obsolete" (terms not currently in use) histology nomenclature along with their International Classification of Disease, Oncology 3rd edition (ICD-O-3) codes were identified, some histologies were reclassified to 2016 WHO, and new codes found in 2016 WHO were incorporated. An evaluation of the frequency of histology codes affected in the realignment process, and incidence and survival pre- and post-realignment was conducted.ResultsAfter review, 67 codes were noted as obsolete, 51 codes were reclassified, and 12 new codes were incorporated. Histology groups most affected were mesenchymal tumors and neuronal/mixed neuronal-glial tumors. Reorganization resulted in 2588 (0.65%) cases with grouping reassignment or reporting change, indicating that the 2016 WHO Classification revision has impacted the collection and reporting of primary brain and other CNS tumors.ConclusionThis work demonstrates the need to be responsive to changes in classification and coding in order to ensure the most up-to-date and accurate statistics for brain and CNS tumors. This will require collaboration from all stakeholders within the brain tumor community, so to have the ability to reconcile clinical practices and surveillance requirements.

Published
2022

7. Author Correction: Federated learning enables big data for rare cancer boundary detection

Author

Pati, Sarthak, Baid, Ujjwal, Edwards, Brandon, Sheller, Micah, Wang, Shih-Han, Reina, G. Anthony, Foley, Patrick, Gruzdev, Alexey, Karkada, Deepthi, Davatzikos, Christos, Sako, Chiharu, Ghodasara, Satyam, Bilello, Michel, Mohan, Suyash, Vollmuth, Philipp, Brugnara, Gianluca, Preetha, Chandrakanth J., Sahm, Felix, Maier-Hein, Klaus, Zenk, Maximilian, Bendszus, Martin, Wick, Wolfgang, Calabrese, Evan, Rudie, Jeffrey, Villanueva-Meyer, Javier, Cha, Soonmee, Ingalhalikar, Madhura, Jadhav, Manali, Pandey, Umang, Saini, Jitender, Garrett, John, Larson, Matthew, Jeraj, Robert, Currie, Stuart, Frood, Russell, Fatania, Kavi, Huang, Raymond Y., Chang, Ken, Balaña, Carmen, Capellades, Jaume, Puig, Josep, Trenkler, Johannes, Pichler, Josef, Necker, Georg, Haunschmidt, Andreas, Meckel, Stephan, Shukla, Gaurav, Liem, Spencer, Alexander, Gregory S., Lombardo, Joseph, Palmer, Joshua D., Flanders, Adam E., Dicker, Adam P., Sair, Haris I., Jones, Craig K., Venkataraman, Archana, Jiang, Meirui, So, Tiffany Y., Chen, Cheng, Heng, Pheng Ann, Dou, Qi, Kozubek, Michal, Lux, Filip, Michálek, Jan, Matula, Petr, Keřkovský, Miloš, Kopřivová, Tereza, Dostál, Marek, Vybíhal, Václav, Vogelbaum, Michael A., Mitchell, J. Ross, Farinhas, Joaquim, Maldjian, Joseph A., Yogananda, Chandan Ganesh Bangalore, Pinho, Marco C., Reddy, Divya, Holcomb, James, Wagner, Benjamin C., Ellingson, Benjamin M., Cloughesy, Timothy F., Raymond, Catalina, Oughourlian, Talia, Hagiwara, Akifumi, Wang, Chencai, To, Minh-Son, Bhardwaj, Sargam, Chong, Chee, Agzarian, Marc, Falcão, Alexandre Xavier, Martins, Samuel B., Teixeira, Bernardo C. A., Sprenger, Flávia, Menotti, David, Lucio, Diego R., LaMontagne, Pamela, Marcus, Daniel, Wiestler, Benedikt, Kofler, Florian, Ezhov, Ivan, Metz, Marie, Jain, Rajan, Lee, Matthew, Lui, Yvonne W., McKinley, Richard, Slotboom, Johannes, Radojewski, Piotr, Meier, Raphael, Wiest, Roland, Murcia, Derrick, Fu, Eric, Haas, Rourke, Thompson, John, Ormond, David Ryan, Badve, Chaitra, Sloan, Andrew E., Vadmal, Vachan, Waite, Kristin, Colen, Rivka R., Pei, Linmin, Ak, Murat, Srinivasan, Ashok, Bapuraj, J. Rajiv, Rao, Arvind, Wang, Nicholas, Yoshiaki, Ota, Moritani, Toshio, Turk, Sevcan, Lee, Joonsang, Prabhudesai, Snehal, Morón, Fanny, Mandel, Jacob, Kamnitsas, Konstantinos, Glocker, Ben, Dixon, Luke V. M., Williams, Matthew, Zampakis, Peter, Panagiotopoulos, Vasileios, Tsiganos, Panagiotis, Alexiou, Sotiris, Haliassos, Ilias, Zacharaki, Evangelia I., Moustakas, Konstantinos, Kalogeropoulou, Christina, Kardamakis, Dimitrios M., Choi, Yoon Seong, Lee, Seung-Koo, Chang, Jong Hee, Ahn, Sung Soo, Luo, Bing, Poisson, Laila, Wen, Ning, Tiwari, Pallavi, Verma, Ruchika, Bareja, Rohan, Yadav, Ipsa, Chen, Jonathan, Kumar, Neeraj, Smits, Marion, van der Voort, Sebastian R., Alafandi, Ahmed, Incekara, Fatih, Wijnenga, Maarten M. J., Kapsas, Georgios, Gahrmann, Renske, Schouten, Joost W., Dubbink, Hendrikus J., Vincent, Arnaud J. P. E., van den Bent, Martin J., French, Pim J., Klein, Stefan, Yuan, Yading, Sharma, Sonam, Tseng, Tzu-Chi, Adabi, Saba, Niclou, Simone P., Keunen, Olivier, Hau, Ann-Christin, Vallières, Martin, Fortin, David, Lepage, Martin, Landman, Bennett, Ramadass, Karthik, Xu, Kaiwen, Chotai, Silky, Chambless, Lola B., Mistry, Akshitkumar, Thompson, Reid C., Gusev, Yuriy, Bhuvaneshwar, Krithika, Sayah, Anousheh, Bencheqroun, Camelia, Belouali, Anas, Madhavan, Subha, Booth, Thomas C., Chelliah, Alysha, Modat, Marc, Shuaib, Haris, Dragos, Carmen, Abayazeed, Aly, Kolodziej, Kenneth, Hill, Michael, Abbassy, Ahmed, Gamal, Shady, Mekhaimar, Mahmoud, Qayati, Mohamed, Reyes, Mauricio, Park, Ji Eun, Yun, Jihye, Kim, Ho Sung, Mahajan, Abhishek, Muzi, Mark, Benson, Sean, Beets-Tan, Regina G. H., Teuwen, Jonas, Herrera-Trujillo, Alejandro, Trujillo, Maria, Escobar, William, Abello, Ana, Bernal, Jose, Gómez, Jhon, Choi, Joseph, Baek, Stephen, Kim, Yusung, Ismael, Heba, Allen, Bryan, Buatti, John M., Kotrotsou, Aikaterini, Li, Hongwei, Weiss, Tobias, Weller, Michael, Bink, Andrea, Pouymayou, Bertrand, Shaykh, Hassan F., Saltz, Joel, Prasanna, Prateek, Shrestha, Sampurna, Mani, Kartik M., Payne, David, Kurc, Tahsin, Pelaez, Enrique, Franco-Maldonado, Heydy, Loayza, Francis, Quevedo, Sebastian, Guevara, Pamela, Torche, Esteban, Mendoza, Cristobal, Vera, Franco, Ríos, Elvis, López, Eduardo, Velastin, Sergio A., Ogbole, Godwin, Soneye, Mayowa, Oyekunle, Dotun, Odafe-Oyibotha, Olubunmi, Osobu, Babatunde, Shu’aibu, Mustapha, Dorcas, Adeleye, Dako, Farouk, Simpson, Amber L., Hamghalam, Mohammad, Peoples, Jacob J., Hu, Ricky, Tran, Anh, Cutler, Danielle, Moraes, Fabio Y., Boss, Michael A., Gimpel, James, Veettil, Deepak Kattil, Schmidt, Kendall, Bialecki, Brian, Marella, Sailaja, Price, Cynthia, Cimino, Lisa, Apgar, Charles, Shah, Prashant, Menze, Bjoern, Barnholtz-Sloan, Jill S., Martin, Jason, and Bakas, Spyridon

Published
2023
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14. Independently validated sex-specific nomograms for predicting survival in patients with newly diagnosed glioblastoma: NRG Oncology RTOG 0525 and 0825

Author

Patil, Nirav, Somasundaram, Eashwar, Waite, Kristin A., Lathia, Justin D., Machtay, Mitchell, Gilbert, Mark R., Connor, James R., Rubin, Joshua B., Berens, Michael E., Buerki, Robin A., Choi, Serah, Sloan, Andrew E., Penas-Prado, Marta, Ashby, Lynn S., Blumenthal, Deborah T., Werner-Wasik, Maria, Hunter, Grant K., Flickinger, John C., Wendland, Merideth M., Panet-Raymond, Valerie, Robins, H. Ian, Pugh, Stephanie L., Mehta, Minesh P., and Barnholtz-Sloan, Jill S.

Published
2021
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20. CBTRUS Statistical Report: American Brain Tumor Association & NCI Neuro-Oncology Branch Adolescent and Young Adult Primary Brain and Other Central Nervous System Tumors Diagnosed in the United States in 2016–2020.

Author

Price, Mackenzie, Neff, Corey, Nagarajan, Nitin, Kruchko, Carol, Waite, Kristin A, Cioffi, Gino, Cordeiro, Brittany B, Willmarth, Nicole, Penas-Prado, Marta, Gilbert, Mark R, Armstrong, Terri S, Barnholtz-Sloan, Jill S, and Ostrom, Quinn T

Published
2024
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21. Sex Differences in Odds of Brain Metastasis and Outcomes by Brain Metastasis Status after Advanced Melanoma Diagnosis.

Author

Cioffi, Gino, Ascha, Mustafa S., Waite, Kristin A., Dmukauskas, Mantas, Wang, Xiaoliang, Royce, Trevor J., Calip, Gregory S., Waxweiler, Timothy, Rusthoven, Chad G., Kavanagh, Brian D., and Barnholtz-Sloan, Jill S.

Subjects
MELANOMA prognosis, BRAIN tumor diagnosis, MELANOMA diagnosis, SURVIVAL rate, RESEARCH funding, SEX distribution, LOGISTIC regression analysis, DESCRIPTIVE statistics, MULTIVARIATE analysis, METASTASIS, ODDS ratio, MEDICAL records, ACQUISITION of data, PROGRESSION-free survival, CONFIDENCE intervals, BRAIN tumors, OVERALL survival, PROPORTIONAL hazards models, DISEASE complications
Abstract

Simple Summary: Sex differences in cancer are well-established. However, less is known about sex differences in the diagnosis of brain metastasis and outcomes among patients with advanced melanoma. Using the nationwide Flatiron Health electronic health record-derived de-identified database, this study showed that males had greater odds of brain metastasis, and poorer real-world overall survival compared to females among those with brain metastasis, while there were no sex differences in clinical outcomes for those with advanced melanoma without brain metastasis. Sex differences in cancer are well-established. However, less is known about sex differences in diagnosis of brain metastasis and outcomes among patients with advanced melanoma. Using a United States nationwide electronic health record-derived de-identified database, we evaluated patients diagnosed with advanced melanoma from 1 January 2011–30 July 2022 who received an oncologist-defined rule-based first line of therapy (n = 7969, 33% female according to EHR, 35% w/documentation of brain metastases). The odds of documented brain metastasis diagnosis were calculated using multivariable logistic regression adjusted for age, practice type, diagnosis period (pre/post-2017), ECOG performance status, anatomic site of melanoma, group stage, documentation of non-brain metastases prior to first-line of treatment, and BRAF positive status. Real-world overall survival (rwOS) and progression-free survival (rwPFS) starting from first-line initiation were assessed by sex, accounting for brain metastasis diagnosis as a time-varying covariate using the Cox proportional hazards model, with the same adjustments as the logistic model, excluding group stage, while also adjusting for race, socioeconomic status, and insurance status. Adjusted analysis revealed males with advanced melanoma were 22% more likely to receive a brain metastasis diagnosis compared to females (adjusted odds ratio [aOR]: 1.22, 95% confidence interval [CI]: 1.09, 1.36). Males with brain metastases had worse rwOS (aHR: 1.15, 95% CI: 1.04, 1.28) but not worse rwPFS (adjusted hazard ratio [aHR]: 1.04, 95% CI: 0.95, 1.14) following first-line treatment initiation. Among patients with advanced melanoma who were not diagnosed with brain metastases, survival was not different by sex (rwOS aHR: 1.06 [95% CI: 0.97, 1.16], rwPFS aHR: 1.02 [95% CI: 0.94, 1.1]). This study showed that males had greater odds of brain metastasis and, among those with brain metastasis, poorer rwOS compared to females, while there were no sex differences in clinical outcomes for those with advanced melanoma without brain metastasis. [ABSTRACT FROM AUTHOR]

Published
2024
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23. The Negative Impact of the COVID-19 Pandemic on Oncology Care at an Academic Cancer Referral Center

Author

Nakayama, John, Wang, Gi-Ming, Cioffi, Gino, Waite, Kristin A., Patil, Nirav, Kyasaram, Ravi Kumar, Shanahan, John, Caimi, Paolo, and Barnholtz-Sloan, Jill S.

Subjects
Oncology, Experimental -- Analysis, Epidemics -- Analysis, Radiation -- Analysis, Cancer -- Analysis -- Research, Health
Abstract

OBJECTIVES: COVID-19 created unexpected delays in oncologic treatment. This study sought to assess the volume of missed cancer-related services due to the pandemic. METHODS: This case-controlled trial evaluated more than 345,000 oncologic clinic, lab, and radiation appointments from January 1, 2019, through December 31, 2020, and surgery appointments from January 1, 2019, through October 31, 2020. All patients at the Seidman Cancer Center with a cancer diagnosis based on a comprehensive list of 2178 International Classification of Diseases, Ninth Edition (ICD-9) and ICD-10 codes were included in the analysis. Subgroup analyses based on age, race, and sex were also performed. RESULTS: Clinic, lab, and surgical visit cancellations increased by 4.20% (P CONCLUSIONS: There was a large increase in cancelled oncologic care in 2020, which has implications for delayed diagnosis and treatment. This was especially true for patients older than 65 years and for women. These delays could result in patients presenting with more advanced disease, complicating morbidities, and ultimately worse long-term outcomes., Introduction The COVID-19 pandemic created an unprecedented situation pitting the urgent need to appropriately treat patients with cancer against the unknown level of risk of subjecting patients to immunosuppressive therapies [...]

Published
2021

25. AI/ML-Derived Whole-Genome Predictor Prospectively and Clinically Predicts Survival and Response to Treatment in Brain Cancer

Author

Ponnapalli, Sri Priya, primary, Miron, Penelope, additional, Miskimen, Kristy L. S., additional, Waite, Kristin A., additional, Sosonkina, Nadiya, additional, Coppens, Sara E., additional, Bryan, Anthony C., additional, Kiernan, Estevan P., additional, Yang, Huanming, additional, Bowen, Jay, additional, Nakouzi, Ghunwa A., additional, Barnholtz-Sloan, Jill S., additional, Sloan, Andrew E., additional, Hodges, Tiffany R., additional, and Alter, Orly, additional

Published
2023
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26. EPID-24. CAPTURING EVOLVING DEFINITIONS OF 12 SELECT RARE CNS TUMORS: A TIMELY REPORT FROM CBTRUS AND NCI-CONNECT

Author

Price, Mackenzie, primary, Neff, Corey, additional, Kruchko, Carol, additional, Waite, Kristin, additional, Cioffi, Gino, additional, Barnholtz-Sloan, Jill, additional, Cordeiro, Brittany, additional, Penas-Prado, Marta, additional, Ozer, Byram, additional, Cimino, Patrick, additional, Gilbert, Mark, additional, Armstrong, Terri, additional, and Ostrom, Quinn, additional

Published
2023
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28. EPID-31. BRAIN TUMORS IN UNITED STATES MILITARY VETERANS

Author

Waite, Kristin, primary, Bihn, John, additional, Cioffi, Gino, additional, Neff, Corey, additional, Kruchko, Carol, additional, Ostrom, Quinn, additional, Swinnerton, Kaitlin, additional, Elbers, Danne, additional, Mooney, Michael A, additional, Rachlin, Jacob, additional, Stein, Thor, additional, Brophy, Mary, additional, Do, Nhan, additional, Priemer, David, additional, Perl, Daniel, additional, Ferguson, Ryan, additional, Hickman, Richard, additional, Nabors, Burt, additional, Rusiecki, Jennifer, additional, Barnholtz-Sloan, Jill, additional, and Fillmore, Nathanael, additional

Published
2023
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29. EPID-03. SEX DIFFERENCES IN ODDS OF BRAIN METASTASIS AND OUTCOMES BY BRAIN METASTASIS STATUS AFTER ADVANCED MELANOMA DIAGNOSIS

Author

Cioffi, Gino, primary, Ascha, Mustafa, additional, Dmukauskas, Mantas, additional, Waite, Kristin, additional, Wang, Xiaoliang, additional, Royce, Trevor, additional, Calip, Gregroy, additional, Waxweiler, Timothy, additional, Rusthoven, Chad, additional, Kavanagh, Brian, additional, and Barnholtz-Sloan, Jill, additional

Published
2023
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31. NIMG-13. ROBUSTNESS OF PROGNOSTIC STRATIFICATION IN DE NOVO GLIOBLASTOMA PATIENTS ACROSS 22 GEOGRAPHICALLY DISTINCT INSTITUTIONS: INSIGHTS FROM THE RESPOND CONSORTIUM

Author

Akbari, Hamed, primary, Bakas, Spyridon, additional, Garcia, Jose, additional, Kazerooni, Anahita Fathi, additional, Sako, Chiharu, additional, Villanueva-Meyer, Javier, additional, Baid, Ujjwal, additional, Mamourian, Elizabeth, additional, Brem, Steven, additional, Lustig, Robert A, additional, Nasrallah, MacLean P, additional, O'Rourke, Donald M, additional, Calabrese, Evan, additional, Rudie, Jeffrey, additional, Chang, Susan, additional, Rauschecker, Andreas, additional, LaMontagne, Pamela, additional, Marcus, Daniel S, additional, Balana, Carmen, additional, Capellades, Jaume, additional, Puig, Josep, additional, Barnholtz-Sloan, Jill, additional, Badve, Chaitra, additional, Sloan, Andrew, additional, Waite, Kristin, additional, Colen, Rivka, additional, Choi, Yoon Seong, additional, Ahn, Sung Soo, additional, Dicker, Adam P, additional, Flanders, Adam E, additional, Shi, Wenyin, additional, Griffith, Brent, additional, Poisson, Laila M, additional, Rogers, Lisa R, additional, Booth, Thomas C, additional, Jain, Rajan, additional, Chakravarti, Arnab, additional, Palmer, Joshua, additional, Cepeda, Santiago, additional, Wiestler, Benedikt, additional, Stefano, Anna Luisa Di, additional, Alexander, Kimberley, additional, Melhem, Elias R, additional, Woodworth, Graeme F, additional, Kamel, Peter I, additional, Tiwari, Pallavi, additional, Aboian, Mariam, additional, Mohan, Suyash, additional, and Davatzikos, Christos, additional

Published
2023
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32. EPID-15. SEX-SPECIFIC DIFFERENCES IN GLIOBLASTOMA IN THE RESPOND CONSORTIUM

Author

Gongala, Sree, primary, Garcia, Jose, additional, Korakavi, Nisha, additional, Patil, Nirav, additional, Akbari, Hamed, additional, Tippareddy, Charit, additional, Sloan, Andrew, additional, Barnholtz-Sloan, Jill, additional, Bakas, Spyridon, additional, Kazerooni, Anahita Fathi, additional, Sako, Chiharu, additional, Baid, Ujjwal, additional, Brem, Steven, additional, Lustig, Robert A, additional, Capellades, Jaume, additional, Nasrallah, MacLean, additional, O'Rourke, Donald M, additional, LaMontagne, Pamela, additional, Marcus, Daniel S, additional, Balana, Carmen, additional, Puig, Josep, additional, Waite, Kristin, additional, Colen, Rivka, additional, Choi, Yoon Seong, additional, Lee, Seung-Koo, additional, Dicker, Adam P, additional, Flanders, Adam E, additional, Shi, Wenyin, additional, Griffith, Brent, additional, Poisson, Laila M, additional, Rogers, Lisa R, additional, Booth, Thomas C, additional, Jain, Rajan, additional, Chakravarti, Arnab, additional, Palmer, Joshua, additional, Mohan, Suyash, additional, Tiwari, Pallavi, additional, Aboian, Mariam, additional, Ahn, Sung Soo, additional, Davatzikos, Christos, additional, and Badve, Chaitra, additional

Published
2023
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35. Brain tumors in United States military veterans.

Author

Bihn, John R, Cioffi, Gino, Waite, Kristin A, Kruchko, Carol, Neff, Corey, Price, Mackenzie, Ostrom, Quinn T, Swinnerton, Kaitlin N, Elbers, Danne C, Mooney, Michael A, Rachlin, Jacob, Stein, Thor D, Brophy, Mary T, Do, Nhan V, Ferguson, Ryan E, Priemer, David S, Perl, Daniel P, Hickman, Richard A, Nabors, Burt, and Rusiecki, Jennifer

Published
2024
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36. Childhood, adolescent, and adult primary brain and central nervous system tumor statistics for practicing healthcare providers in neuro-oncology, CBTRUS 2015–2019.

Author

Price, Mackenzie, Ryan, Katherine, Shoaf, Madison L, Neff, Corey, Iorgulescu, J Bryan, Landi, Daniel B, Cioffi, Gino, Waite, Kristin A, Kruchko, Carol, Barnholtz-Sloan, Jill S, and Ostrom, Quinn T

Subjects
CENTRAL nervous system tumors, MEDICAL personnel, NURSE practitioners, BRAIN tumors, ONCOLOGY nursing, SURVIVAL rate, CENTRAL nervous system
Abstract

Background The Central Brain Tumor Registry of the United States (CBTRUS), in collaboration with the Centers for Disease Control and Prevention (CDC) and National Cancer Institute (NCI), is the largest aggregation of histopathology-specific population-based data for primary brain and other central nervous system (CNS) in the US. CBTRUS publishes an annual statistical report which provides critical reference data for the broad neuro-oncology community. Here, we summarize the key findings from the 2022 CBTRUS annual statistical report for healthcare providers. Methods Incidence data were obtained from the CDC's National Program of Cancer Registries (NPCR) and NCI's Surveillance, Epidemiology, and End Results Program for 52 central cancer registries (CCRs). Survival data were obtained from 42 NPCR CCRs. All rates are per 100 000 and age-adjusted using the 2000 US standard population. Overall median survival was estimated using Kaplan–Meier models. Survival data for selected molecularly defined histopathologies are from the National Cancer Database. Mortality data are from the National Vital Statistics System. Results The average annual age-adjusted incidence rate of all primary brain and other CNS tumors was 24.25/100 000. Incidence was higher in females and non-Hispanics. The most commonly occurring malignant and predominately non-malignant tumors was glioblastoma (14% of all primary brain tumors) and meningioma (39% of all primary brain tumors), respectively. Mortality rates and overall median survival varied by age, sex, and histopathology. Conclusions This summary describes the most up-to-date population-based incidence, mortality, and survival, of primary brain and other CNS tumors in the US and aims to serve as a concise resource for neuro-oncology providers. [ABSTRACT FROM AUTHOR]

Published
2024
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37. Childhood, adolescent, and adult primary brain and central nervous system tumor statistics for practicing healthcare providers in neuro-oncology, CBTRUS 2015-2019

Author

Price, Mackenzie, primary, Ryan, Katherine, additional, Shoaf, Madison L, additional, Neff, Corey, additional, Iorgulescu, J Bryan, additional, Landi, Daniel B, additional, Cioffi, Gino, additional, Waite, Kristin A, additional, Kruchko, Carol, additional, Barnholtz-Sloan, Jill S, additional, and Ostrom, Quinn T, additional

Published
2023
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39. Brain tumors in United States military veterans

Author

Bihn, John R, primary, Cioffi, Gino, additional, Waite, Kristin A, additional, Kruchko, Carol, additional, Neff, Corey, additional, Price, Mackenzie, additional, Ostrom, Quinn T, additional, Swinnerton, Kaitlin N, additional, Elbers, Danne C, additional, Mooney, Michael A, additional, Rachlin, Jacob, additional, Stein, Thor D, additional, Brophy, Mary T, additional, Do, Nhan V, additional, Ferguson, Ryan E, additional, Priemer, David S, additional, Perl, Daniel P, additional, Hickman, Richard A, additional, Nabors, Burt, additional, Rusiecki, Jennifer, additional, Barnholtz-Sloan, Jill S, additional, and Fillmore, Nathanael R, additional

Published
2023
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40. The MIF promoter SNP rs755622 is associated with immune activation in glioblastoma

Author

Alban, Tyler J., primary, Grabowski, Matthew M., additional, Otvos, Balint, additional, Bayik, Defne, additional, Wang, Wesley, additional, Zalavadia, Ajay, additional, Makarov, Vlad, additional, Troike, Katie, additional, McGraw, Mary, additional, Rabljenovic, Anja, additional, Lauko, Adam, additional, Neumann, Chase, additional, Roversi, Gustavo, additional, Waite, Kristin A., additional, Cioffi, Gino, additional, Patil, Nirav, additional, Tran, Thuy T., additional, McCortney, Kathleen, additional, Steffens, Alicia, additional, Diaz, C. Marcela, additional, Brown, J. Mark, additional, Egan, Kathleen M., additional, Horbinski, Craig M., additional, Barnholtz-Sloan, Jill S., additional, Rajappa, Prajwal, additional, Vogelbaum, Michael A., additional, Bucala, Richard, additional, Chan, Timothy A., additional, Ahluwalia, Manmeet S., additional, and Lathia, Justin D., additional

Published
2023
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45. Allostatic load and cardiovascular outcomes in males with prostate cancer

Author

Stabellini, Nickolas, primary, Cullen, Jennifer, additional, Bittencourt, Marcio S, additional, Moore, Justin X, additional, Cao, Lifen, additional, Weintraub, Neal L, additional, Harris, Ryan A, additional, Wang, Xiaoling, additional, Datta, Biplab, additional, Coughlin, Steven S, additional, Garcia, Jorge, additional, Shanahan, John, additional, Hamerschlak, Nelson, additional, Waite, Kristin, additional, Fillmore, Nathanael R, additional, Terris, Martha, additional, Montero, Alberto J, additional, Barnholtz-Sloan, Jill S, additional, and Guha, Avirup, additional

Published
2023
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48. Complete prevalence of primary malignant and nonmalignant brain tumors in comparison to other cancers in the United States.

Author

Neff, Corey, Price, Mackenzie, Cioffi, Gino, Kruchko, Carol, Waite, Kristin A., Barnholtz‐Sloan, Jill S., and Ostrom, Quinn T.

Subjects
BRAIN tumors, CENTRAL nervous system tumors, AGE groups
Abstract

Background: Primary brain tumors (BTs) are rare, but cause morbidity and mortality disproportionately to their incidence. Prevalence estimates population‐level cancer burdens at a specified time. This study estimates the prevalence of malignant and non‐malignant BTs in comparison to other cancers. Methods: Incidence data were obtained from the Central Brain Tumor Registry of the United States (2000–2019, varying), a combined data set including the Center for Disease Control and Prevention's National Program of Cancer Registries and National Cancer Institute's Surveillance, Epidemiology, and End Results (SEER) Program. Incidence of non‐BT cancers were obtained from the United States Cancer Statistics (2001–2019). Incidence and survival estimates for all cancers were obtained from SEER (1975–2018). Complete prevalence as of December 31, 2019, was estimated using prevEst. Estimates were generated overall for non‐BT cancers, by BT histopathology, age groups at prevalence (0–14, 15–39, 40–64, 65+ years), and sex. Results: We estimated 1,323,121 individuals with a diagnosis of BTs at the date of prevalence. The majority of BT cases had non‐malignant tumors (85.3%). Among all cancers, BTs were the most prevalent cancer type among those ages 15 to 39 years, second among those ages 0 to 14 years, and in the top five among those ages 40 to 64 years. The plurality of prevalent cases (43.5%) occurred among those ages 65+ years. Overall, females had a higher prevalence of BTs than males, with an overall female:male prevalence ratio of 1.68. Conclusions: BTs contribute significantly to the cancer burden in the United States, particularly among those younger than age 65 years. Understanding complete prevalence is crucial for monitoring cancer burden to inform clinical research and public policy. We include a comparison of prevalence estimates for all primary brain tumors to other common cancers by age group in the United States. We also provide a description of the complete prevalence of primary malignant and nonmalignant brain and other central nervous system tumors in the United States for 2019, an update to a previous study. [ABSTRACT FROM AUTHOR]

Published
2023
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49. Corrigendum to: Molecular biomarker-defined brain tumors: Epidemiology, validity, and completeness in the United States

Author

Iorgulescu, J Bryan, primary, Sun, Chuxuan, additional, Neff, Corey, additional, Cioffi, Gino, additional, Gutierrez, Catherine, additional, Kruchko, Carol, additional, Ruhl, Jennifer, additional, Waite, Kristin, additional, Negoita, Serban, additional, Hofferkamp, Jim, additional, Tihan, Tarik, additional, McLendon, Roger, additional, Brat, Daniel J, additional, Ostrom, Quinn T, additional, and Barnholtz-Sloan, Jill S, additional

Published
2022
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50. Federated learning enables big data for rare cancer boundary detection

Author

Pati, Sarthak, primary, Baid, Ujjwal, additional, Edwards, Brandon, additional, Sheller, Micah, additional, Wang, Shih-Han, additional, Reina, G. Anthony, additional, Foley, Patrick, additional, Gruzdev, Alexey, additional, Karkada, Deepthi, additional, Davatzikos, Christos, additional, Sako, Chiharu, additional, Ghodasara, Satyam, additional, Bilello, Michel, additional, Mohan, Suyash, additional, Vollmuth, Philipp, additional, Brugnara, Gianluca, additional, Preetha, Chandrakanth J., additional, Sahm, Felix, additional, Maier-Hein, Klaus, additional, Zenk, Maximilian, additional, Bendszus, Martin, additional, Wick, Wolfgang, additional, Calabrese, Evan, additional, Rudie, Jeffrey, additional, Villanueva-Meyer, Javier, additional, Cha, Soonmee, additional, Ingalhalikar, Madhura, additional, Jadhav, Manali, additional, Pandey, Umang, additional, Saini, Jitender, additional, Garrett, John, additional, Larson, Matthew, additional, Jeraj, Robert, additional, Currie, Stuart, additional, Frood, Russell, additional, Fatania, Kavi, additional, Huang, Raymond Y., additional, Chang, Ken, additional, Balaña, Carmen, additional, Capellades, Jaume, additional, Puig, Josep, additional, Trenkler, Johannes, additional, Pichler, Josef, additional, Necker, Georg, additional, Haunschmidt, Andreas, additional, Meckel, Stephan, additional, Shukla, Gaurav, additional, Liem, Spencer, additional, Alexander, Gregory S., additional, Lombardo, Joseph, additional, Palmer, Joshua D., additional, Flanders, Adam E., additional, Dicker, Adam P., additional, Sair, Haris I., additional, Jones, Craig K., additional, Venkataraman, Archana, additional, Jiang, Meirui, additional, So, Tiffany Y., additional, Chen, Cheng, additional, Heng, Pheng Ann, additional, Dou, Qi, additional, Kozubek, Michal, additional, Lux, Filip, additional, Michálek, Jan, additional, Matula, Petr, additional, Keřkovský, Miloš, additional, Kopřivová, Tereza, additional, Dostál, Marek, additional, Vybíhal, Václav, additional, Vogelbaum, Michael A., additional, Mitchell, J. Ross, additional, Farinhas, Joaquim, additional, Maldjian, Joseph A., additional, Yogananda, Chandan Ganesh Bangalore, additional, Pinho, Marco C., additional, Reddy, Divya, additional, Holcomb, James, additional, Wagner, Benjamin C., additional, Ellingson, Benjamin M., additional, Cloughesy, Timothy F., additional, Raymond, Catalina, additional, Oughourlian, Talia, additional, Hagiwara, Akifumi, additional, Wang, Chencai, additional, To, Minh-Son, additional, Bhardwaj, Sargam, additional, Chong, Chee, additional, Agzarian, Marc, additional, Falcão, Alexandre Xavier, additional, Martins, Samuel B., additional, Teixeira, Bernardo C. A., additional, Sprenger, Flávia, additional, Menotti, David, additional, Lucio, Diego R., additional, LaMontagne, Pamela, additional, Marcus, Daniel, additional, Wiestler, Benedikt, additional, Kofler, Florian, additional, Ezhov, Ivan, additional, Metz, Marie, additional, Jain, Rajan, additional, Lee, Matthew, additional, Lui, Yvonne W., additional, McKinley, Richard, additional, Slotboom, Johannes, additional, Radojewski, Piotr, additional, Meier, Raphael, additional, Wiest, Roland, additional, Murcia, Derrick, additional, Fu, Eric, additional, Haas, Rourke, additional, Thompson, John, additional, Ormond, David Ryan, additional, Badve, Chaitra, additional, Sloan, Andrew E., additional, Vadmal, Vachan, additional, Waite, Kristin, additional, Colen, Rivka R., additional, Pei, Linmin, additional, Ak, Murat, additional, Srinivasan, Ashok, additional, Bapuraj, J. Rajiv, additional, Rao, Arvind, additional, Wang, Nicholas, additional, Yoshiaki, Ota, additional, Moritani, Toshio, additional, Turk, Sevcan, additional, Lee, Joonsang, additional, Prabhudesai, Snehal, additional, Morón, Fanny, additional, Mandel, Jacob, additional, Kamnitsas, Konstantinos, additional, Glocker, Ben, additional, Dixon, Luke V. M., additional, Williams, Matthew, additional, Zampakis, Peter, additional, Panagiotopoulos, Vasileios, additional, Tsiganos, Panagiotis, additional, Alexiou, Sotiris, additional, Haliassos, Ilias, additional, Zacharaki, Evangelia I., additional, Moustakas, Konstantinos, additional, Kalogeropoulou, Christina, additional, Kardamakis, Dimitrios M., additional, Choi, Yoon Seong, additional, Lee, Seung-Koo, additional, Chang, Jong Hee, additional, Ahn, Sung Soo, additional, Luo, Bing, additional, Poisson, Laila, additional, Wen, Ning, additional, Tiwari, Pallavi, additional, Verma, Ruchika, additional, Bareja, Rohan, additional, Yadav, Ipsa, additional, Chen, Jonathan, additional, Kumar, Neeraj, additional, Smits, Marion, additional, van der Voort, Sebastian R., additional, Alafandi, Ahmed, additional, Incekara, Fatih, additional, Wijnenga, Maarten M. J., additional, Kapsas, Georgios, additional, Gahrmann, Renske, additional, Schouten, Joost W., additional, Dubbink, Hendrikus J., additional, Vincent, Arnaud J. P. E., additional, van den Bent, Martin J., additional, French, Pim J., additional, Klein, Stefan, additional, Yuan, Yading, additional, Sharma, Sonam, additional, Tseng, Tzu-Chi, additional, Adabi, Saba, additional, Niclou, Simone P., additional, Keunen, Olivier, additional, Hau, Ann-Christin, additional, Vallières, Martin, additional, Fortin, David, additional, Lepage, Martin, additional, Landman, Bennett, additional, Ramadass, Karthik, additional, Xu, Kaiwen, additional, Chotai, Silky, additional, Chambless, Lola B., additional, Mistry, Akshitkumar, additional, Thompson, Reid C., additional, Gusev, Yuriy, additional, Bhuvaneshwar, Krithika, additional, Sayah, Anousheh, additional, Bencheqroun, Camelia, additional, Belouali, Anas, additional, Madhavan, Subha, additional, Booth, Thomas C., additional, Chelliah, Alysha, additional, Modat, Marc, additional, Shuaib, Haris, additional, Dragos, Carmen, additional, Abayazeed, Aly, additional, Kolodziej, Kenneth, additional, Hill, Michael, additional, Abbassy, Ahmed, additional, Gamal, Shady, additional, Mekhaimar, Mahmoud, additional, Qayati, Mohamed, additional, Reyes, Mauricio, additional, Park, Ji Eun, additional, Yun, Jihye, additional, Kim, Ho Sung, additional, Mahajan, Abhishek, additional, Muzi, Mark, additional, Benson, Sean, additional, Beets-Tan, Regina G. H., additional, Teuwen, Jonas, additional, Herrera-Trujillo, Alejandro, additional, Trujillo, Maria, additional, Escobar, William, additional, Abello, Ana, additional, Bernal, Jose, additional, Gómez, Jhon, additional, Choi, Joseph, additional, Baek, Stephen, additional, Kim, Yusung, additional, Ismael, Heba, additional, Allen, Bryan, additional, Buatti, John M., additional, Kotrotsou, Aikaterini, additional, Li, Hongwei, additional, Weiss, Tobias, additional, Weller, Michael, additional, Bink, Andrea, additional, Pouymayou, Bertrand, additional, Shaykh, Hassan F., additional, Saltz, Joel, additional, Prasanna, Prateek, additional, Shrestha, Sampurna, additional, Mani, Kartik M., additional, Payne, David, additional, Kurc, Tahsin, additional, Pelaez, Enrique, additional, Franco-Maldonado, Heydy, additional, Loayza, Francis, additional, Quevedo, Sebastian, additional, Guevara, Pamela, additional, Torche, Esteban, additional, Mendoza, Cristobal, additional, Vera, Franco, additional, Ríos, Elvis, additional, López, Eduardo, additional, Velastin, Sergio A., additional, Ogbole, Godwin, additional, Soneye, Mayowa, additional, Oyekunle, Dotun, additional, Odafe-Oyibotha, Olubunmi, additional, Osobu, Babatunde, additional, Shu’aibu, Mustapha, additional, Dorcas, Adeleye, additional, Dako, Farouk, additional, Simpson, Amber L., additional, Hamghalam, Mohammad, additional, Peoples, Jacob J., additional, Hu, Ricky, additional, Tran, Anh, additional, Cutler, Danielle, additional, Moraes, Fabio Y., additional, Boss, Michael A., additional, Gimpel, James, additional, Veettil, Deepak Kattil, additional, Schmidt, Kendall, additional, Bialecki, Brian, additional, Marella, Sailaja, additional, Price, Cynthia, additional, Cimino, Lisa, additional, Apgar, Charles, additional, Shah, Prashant, additional, Menze, Bjoern, additional, Barnholtz-Sloan, Jill S., additional, Martin, Jason, additional, and Bakas, Spyridon, additional

Published
2022
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