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Rogers JL, Wall T, Acquaye-Mallory AA, Boris L, Kim Y, Aldape K, Quezado MM, Butman JA, Smirniotopoulos JG, Chaudhry H, Tsien CI, Chittiboina P, Zaghloul K, Aboud O, Avgeropoulos NG, Burton EC, Cachia DM, Dixit KS, Drappatz J, Dunbar EM, Forsyth P, Komlodi-Pasztor E, Mandel J, Ozer BH, Lee EQ, Ranjan S, Lukas RV, Raygada M, Salacz ME, Smith-Cohn MA, Snyder J, Soldatos A, Theeler BJ, Widemann BC, Camphausen KA, Heiss JD, Armstrong TS, Gilbert MR, Penas-Prado M. Virtual multi-institutional tumor board: a strategy for personalized diagnoses and management of rare CNS tumors. J Neurooncol 2024; 167:349-359. [PMID: 38427131 PMCID: PMC11023967 DOI: 10.1007/s11060-024-04613-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2023] [Accepted: 02/17/2024] [Indexed: 03/02/2024]
Abstract
PURPOSE Multidisciplinary tumor boards (MTBs) integrate clinical, molecular, and radiological information and facilitate coordination of neuro-oncology care. During the COVID-19 pandemic, our MTB transitioned to a virtual and multi-institutional format. We hypothesized that this expansion would allow expert review of challenging neuro-oncology cases and contribute to the care of patients with limited access to specialized centers. METHODS We retrospectively reviewed records from virtual MTBs held between 04/2020-03/2021. Data collected included measures of potential clinical impact, including referrals to observational or therapeutic studies, referrals for specialized neuropathology analysis, and whether molecular findings led to a change in diagnosis and/or guided management suggestions. RESULTS During 25 meetings, 32 presenters discussed 44 cases. Approximately half (n = 20; 48%) involved a rare central nervous system (CNS) tumor. In 21% (n = 9) the diagnosis was changed or refined based on molecular profiling obtained at the NIH and in 36% (n = 15) molecular findings guided management. Clinical trial suggestions were offered to 31% (n = 13), enrollment in the observational NCI Natural History Study to 21% (n = 9), neuropathology review and molecular testing at the NIH to 17% (n = 7), and all received management suggestions. CONCLUSION Virtual multi-institutional MTBs enable remote expert review of CNS tumors. We propose them as a strategy to facilitate expert opinions from specialized centers, especially for rare CNS tumors, helping mitigate geographic barriers to patient care and serving as a pre-screening tool for studies. Advanced molecular testing is key to obtaining a precise diagnosis, discovering potentially actionable targets, and guiding management.
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Affiliation(s)
- James L Rogers
- Neuro-Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, 9030 Old Georgetown Rd, Bethesda, MD, 20892, USA
| | - Thomas Wall
- Neuro-Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, 9030 Old Georgetown Rd, Bethesda, MD, 20892, USA
| | - Alvina A Acquaye-Mallory
- Neuro-Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, 9030 Old Georgetown Rd, Bethesda, MD, 20892, USA
| | - Lisa Boris
- Neuro-Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, 9030 Old Georgetown Rd, Bethesda, MD, 20892, USA
| | - Yeonju Kim
- Neuro-Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, 9030 Old Georgetown Rd, Bethesda, MD, 20892, USA
- Wayne State University School of Medicine, 540 E Canfield St, Detroit, MI, 48201, USA
| | - Kenneth Aldape
- Laboratory of Pathology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, 10 Center Dr, Bethesda, MD, 20892, USA
| | - Martha M Quezado
- Laboratory of Pathology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, 10 Center Dr, Bethesda, MD, 20892, USA
| | - John A Butman
- Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, 10 Center Dr, Bethesda, MD, 20892, USA
| | - James G Smirniotopoulos
- Neuro-Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, 9030 Old Georgetown Rd, Bethesda, MD, 20892, USA
| | - Huma Chaudhry
- Radiation Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, 10 Center Dr, Bethesda, MD, 20892, USA
| | - Christina I Tsien
- Neuro-Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, 9030 Old Georgetown Rd, Bethesda, MD, 20892, USA
- Proton Therapy Center, Sibley Memorial Hospital, Johns Hopkins Medicine, 5255 Loughboro Rd NW, Washington, DC, 20016, USA
| | - Prashant Chittiboina
- Surgical Neurology Branch,, National Institute of Neurological Disorders and Stroke, National Institutes of Health, 10 Center Dr, Bethesda, MD, 20892, USA
| | - Kareem Zaghloul
- Surgical Neurology Branch,, National Institute of Neurological Disorders and Stroke, National Institutes of Health, 10 Center Dr, Bethesda, MD, 20892, USA
| | - Orwa Aboud
- Department of Neurology and Neurological Surgery, UC Davis Comprehensive Cancer Center, 4860 Y Street, Sacramento, CA, 95817, USA
| | - Nicholas G Avgeropoulos
- Brain and Spine Tumor Program, Orlando Health Cancer Institute, 1400 S. Orange Ave, Orlando, FL, 32806, USA
- Global Medical Affairs, Novocure GmbH, D4 Pk. 6, 6039, Root, Switzerland
| | - Eric C Burton
- Neuro-Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, 9030 Old Georgetown Rd, Bethesda, MD, 20892, USA
| | - David M Cachia
- Department of Hematology/Oncology, University of Massachusetts, 55 Lake Ave, Worcester, MA, 01655, USA
| | - Karan S Dixit
- Lou and Jean Malnati Brain Tumor Institute, Northwestern University Feinberg School of Medicine, 675 N St Clair St, Chicago, IL, 60611, USA
| | - Jan Drappatz
- Department of Neurology, University of Pittsburgh Medical Center, 5115 Centre Ave, Pittsburgh, PA, 15232, USA
| | - Erin M Dunbar
- Piedmont Brain Tumor Center, Piedmont Atlanta Hospital, Atlanta, GA, 2001 Peachtree St30309, USA
| | - Peter Forsyth
- Department of Neuro-Oncology, Moffitt Cancer Center, 12902 USF Magnolia Drive, Tampa, FL, 33612, USA
| | - Edina Komlodi-Pasztor
- Neuro-Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, 9030 Old Georgetown Rd, Bethesda, MD, 20892, USA
- Department of Neurology, MedStar Georgetown University Hospital, 3800 Reservoir Road Washington, Washington DC, 20007, USA
| | - Jacob Mandel
- Department of Neurology, Baylor College of Medicine, 7200 Cambridge St, Houston, TX, 77030, USA
| | - Byram H Ozer
- Neuro-Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, 9030 Old Georgetown Rd, Bethesda, MD, 20892, USA
| | - Eudocia Q Lee
- Center for Neuro-Oncology, Dana Farber Cancer Institute, 450 Brookline Ave, Boston, MA, 02215, USA
| | - Surabhi Ranjan
- Department of Neurology, Cleveland Clinic Florida, Weston Hospital, 2950 Cleveland Clinic Boulevard, Weston, FL, 33331, US
| | - Rimas V Lukas
- Lou and Jean Malnati Brain Tumor Institute, Northwestern University Feinberg School of Medicine, 675 N St Clair St, Chicago, IL, 60611, USA
| | - Margarita Raygada
- Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, 1 Center Dr, Bethesda, MD, 20892, USA
| | - Michael E Salacz
- Department of Hematology and Medical Oncology, MD Anderson Cancer Center at Cooper, Cooper University Health Care, Two Cooper Plaza, Camden, NJ, 08103, USA
| | - Matthew A Smith-Cohn
- Neuro-Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, 9030 Old Georgetown Rd, Bethesda, MD, 20892, USA
- Benefis Sletten Cancer Institute, 1117 29Th St. S, Great Falls, MT, 59405, USA
| | - James Snyder
- Hermelin Brain Tumor Center, Henry Ford Cancer Institute, 2800 W Grand Blvd, Detroit, MI, 48202, USA
| | - Ariane Soldatos
- National Institute of Neurological Disorders and Stroke,, National Institutes of Health, 10 Center Dr, Bethesda, MD, 20892, USA
| | - Brett J Theeler
- School of Medicine, Uniformed Services University, 4301 Jones Bridge Rd, Bethesda, MD, 20814, USA
| | - Brigitte C Widemann
- Pediatric Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, 10 Center Dr, Bethesda, MD, 20892, USA
| | - Kevin A Camphausen
- Radiation Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, 10 Center Dr, Bethesda, MD, 20892, USA
| | - John D Heiss
- Surgical Neurology Branch,, National Institute of Neurological Disorders and Stroke, National Institutes of Health, 10 Center Dr, Bethesda, MD, 20892, USA
| | - Terri S Armstrong
- Neuro-Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, 9030 Old Georgetown Rd, Bethesda, MD, 20892, USA
| | - Mark R Gilbert
- Neuro-Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, 9030 Old Georgetown Rd, Bethesda, MD, 20892, USA
| | - Marta Penas-Prado
- Neuro-Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, 9030 Old Georgetown Rd, Bethesda, MD, 20892, USA.
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Pati S, Baid U, Edwards B, Sheller M, Wang SH, Reina GA, Foley P, Gruzdev A, Karkada D, Davatzikos C, Sako C, Ghodasara S, Bilello M, Mohan S, Vollmuth P, Brugnara G, Preetha CJ, Sahm F, Maier-Hein K, Zenk M, Bendszus M, Wick W, Calabrese E, Rudie J, Villanueva-Meyer J, Cha S, Ingalhalikar M, Jadhav M, Pandey U, Saini J, Garrett J, Larson M, Jeraj R, Currie S, Frood R, Fatania K, Huang RY, Chang K, Balaña C, Capellades J, Puig J, Trenkler J, Pichler J, Necker G, Haunschmidt A, Meckel S, Shukla G, Liem S, Alexander GS, Lombardo J, Palmer JD, Flanders AE, Dicker AP, Sair HI, Jones CK, Venkataraman A, Jiang M, So TY, Chen C, Heng PA, Dou Q, Kozubek M, Lux F, Michálek J, Matula P, Keřkovský M, Kopřivová T, Dostál M, Vybíhal V, Vogelbaum MA, Mitchell JR, Farinhas J, Maldjian JA, Yogananda CGB, Pinho MC, Reddy D, Holcomb J, Wagner BC, Ellingson BM, Cloughesy TF, Raymond C, Oughourlian T, Hagiwara A, Wang C, To MS, Bhardwaj S, Chong C, Agzarian M, Falcão AX, Martins SB, Teixeira BCA, Sprenger F, Menotti D, Lucio DR, LaMontagne P, Marcus D, Wiestler B, Kofler F, Ezhov I, Metz M, Jain R, Lee M, Lui YW, McKinley R, Slotboom J, Radojewski P, Meier R, Wiest R, Murcia D, Fu E, Haas R, Thompson J, Ormond DR, Badve C, Sloan AE, Vadmal V, Waite K, Colen RR, Pei L, Ak M, Srinivasan A, Bapuraj JR, Rao A, Wang N, Yoshiaki O, Moritani T, Turk S, Lee J, Prabhudesai S, Morón F, Mandel J, Kamnitsas K, Glocker B, Dixon LVM, Williams M, Zampakis P, Panagiotopoulos V, Tsiganos P, Alexiou S, Haliassos I, Zacharaki EI, Moustakas K, Kalogeropoulou C, Kardamakis DM, Choi YS, Lee SK, Chang JH, Ahn SS, Luo B, Poisson L, Wen N, Tiwari P, Verma R, Bareja R, Yadav I, Chen J, Kumar N, Smits M, van der Voort SR, Alafandi A, Incekara F, Wijnenga MMJ, Kapsas G, Gahrmann R, Schouten JW, Dubbink HJ, Vincent AJPE, van den Bent MJ, French PJ, Klein S, Yuan Y, Sharma S, Tseng TC, Adabi S, Niclou SP, Keunen O, Hau AC, Vallières M, Fortin D, Lepage M, Landman B, Ramadass K, Xu K, Chotai S, Chambless LB, Mistry A, Thompson RC, Gusev Y, Bhuvaneshwar K, Sayah A, Bencheqroun C, Belouali A, Madhavan S, Booth TC, Chelliah A, Modat M, Shuaib H, Dragos C, Abayazeed A, Kolodziej K, Hill M, Abbassy A, Gamal S, Mekhaimar M, Qayati M, Reyes M, Park JE, Yun J, Kim HS, Mahajan A, Muzi M, Benson S, Beets-Tan RGH, Teuwen J, Herrera-Trujillo A, Trujillo M, Escobar W, Abello A, Bernal J, Gómez J, Choi J, Baek S, Kim Y, Ismael H, Allen B, Buatti JM, Kotrotsou A, Li H, Weiss T, Weller M, Bink A, Pouymayou B, Shaykh HF, Saltz J, Prasanna P, Shrestha S, Mani KM, Payne D, Kurc T, Pelaez E, Franco-Maldonado H, Loayza F, Quevedo S, Guevara P, Torche E, Mendoza C, Vera F, Ríos E, López E, Velastin SA, Ogbole G, Soneye M, Oyekunle D, Odafe-Oyibotha O, Osobu B, Shu'aibu M, Dorcas A, Dako F, Simpson AL, Hamghalam M, Peoples JJ, Hu R, Tran A, Cutler D, Moraes FY, Boss MA, Gimpel J, Veettil DK, Schmidt K, Bialecki B, Marella S, Price C, Cimino L, Apgar C, Shah P, Menze B, Barnholtz-Sloan JS, Martin J, Bakas S. Author Correction: Federated learning enables big data for rare cancer boundary detection. Nat Commun 2023; 14:436. [PMID: 36702828 PMCID: PMC9879935 DOI: 10.1038/s41467-023-36188-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023] Open
Affiliation(s)
- Sarthak Pati
- Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, USA
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Informatics, Technical University of Munich, Munich, Bavaria, Germany
| | - Ujjwal Baid
- Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, USA
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | | | | | | | | | | | | | | | - Christos Davatzikos
- Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, USA
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Chiharu Sako
- Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, USA
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Satyam Ghodasara
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Michel Bilello
- Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, USA
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Suyash Mohan
- Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, USA
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Philipp Vollmuth
- Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany
| | - Gianluca Brugnara
- Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany
| | | | - Felix Sahm
- Clinical Cooperation Unit Neuropathology, German Cancer Consortium (DKTK) within the German Cancer Research Center (DKFZ), Heidelberg, Germany
- Department of Neuropathology, Heidelberg University Hospital, Heidelberg, Germany
| | - Klaus Maier-Hein
- Division of Medical Image Computing, German Cancer Research Center, Heidelberg, Germany
- Pattern Analysis and Learning Group, Department of Radiation Oncology, Heidelberg University Hospital, Heidelberg, Germany
| | - Maximilian Zenk
- Division of Medical Image Computing, German Cancer Research Center, Heidelberg, Germany
| | - Martin Bendszus
- Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany
| | - Wolfgang Wick
- Clinical Cooperation Unit Neuropathology, German Cancer Consortium (DKTK) within the German Cancer Research Center (DKFZ), Heidelberg, Germany
- Neurology Clinic, Heidelberg University Hospital, Heidelberg, Germany
| | - Evan Calabrese
- Department of Radiology & Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA
| | - Jeffrey Rudie
- Department of Radiology & Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA
| | - Javier Villanueva-Meyer
- Department of Radiology & Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA
| | - Soonmee Cha
- Department of Radiology & Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA
| | - Madhura Ingalhalikar
- Symbiosis Center for Medical Image Analysis, Symbiosis International University, Pune, Maharashtra, India
| | - Manali Jadhav
- Symbiosis Center for Medical Image Analysis, Symbiosis International University, Pune, Maharashtra, India
| | - Umang Pandey
- Symbiosis Center for Medical Image Analysis, Symbiosis International University, Pune, Maharashtra, India
| | - Jitender Saini
- Department of Neuroimaging and Interventional Radiology, National Institute of Mental Health and Neurosciences, Bangalore, Karnataka, India
| | - John Garrett
- Department of Radiology, School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA
- Department of Medical Physics, School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA
| | - Matthew Larson
- Department of Radiology, School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA
| | - Robert Jeraj
- Department of Radiology, School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA
- Department of Medical Physics, School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA
| | - Stuart Currie
- Leeds Teaching Hospitals Trust, Department of Radiology, Leeds, UK
| | - Russell Frood
- Leeds Teaching Hospitals Trust, Department of Radiology, Leeds, UK
| | - Kavi Fatania
- Leeds Teaching Hospitals Trust, Department of Radiology, Leeds, UK
| | - Raymond Y Huang
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Ken Chang
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, USA
| | | | | | - Josep Puig
- Department of Radiology (IDI), Girona Biomedical Research Institute (IdIBGi), Josep Trueta University Hospital, Girona, Spain
| | - Johannes Trenkler
- Institute of Neuroradiology, Neuromed Campus (NMC), Kepler University Hospital Linz, Linz, Austria
| | - Josef Pichler
- Department of Neurooncology, Neuromed Campus (NMC), Kepler University Hospital Linz, Linz, Austria
| | - Georg Necker
- Institute of Neuroradiology, Neuromed Campus (NMC), Kepler University Hospital Linz, Linz, Austria
| | - Andreas Haunschmidt
- Institute of Neuroradiology, Neuromed Campus (NMC), Kepler University Hospital Linz, Linz, Austria
| | - Stephan Meckel
- Institute of Neuroradiology, Neuromed Campus (NMC), Kepler University Hospital Linz, Linz, Austria
- Institute of Diagnostic and Interventional Neuroradiology, RKH Klinikum Ludwigsburg, Ludwigsburg, Germany
| | - Gaurav Shukla
- Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, USA
- Department of Radiation Oncology, Christiana Care Health System, Philadelphia, PA, USA
| | - Spencer Liem
- Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA, USA
| | - Gregory S Alexander
- Department of Radiation Oncology, University of Maryland, Baltimore, MD, USA
| | - Joseph Lombardo
- Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA, USA
- Department of Radiation Oncology, Sidney Kimmel Cancer Center, Thomas Jefferson University, Philadelphia, PA, USA
| | - Joshua D Palmer
- Department of Radiation Oncology, The James Cancer Hospital and Solove Research Institute, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
| | - Adam E Flanders
- Department of Radiology, Sidney Kimmel Cancer Center, Thomas Jefferson University, Philadelphia, PA, USA
| | - Adam P Dicker
- Department of Radiation Oncology, Sidney Kimmel Cancer Center, Thomas Jefferson University, Philadelphia, PA, USA
| | - Haris I Sair
- The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- The Malone Center for Engineering in Healthcare, The Whiting School of Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Craig K Jones
- The Malone Center for Engineering in Healthcare, The Whiting School of Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Archana Venkataraman
- Department of Electrical and Computer Engineering, Whiting School of Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Meirui Jiang
- The Chinese University of Hong Kong, Hong Kong, China
| | - Tiffany Y So
- The Chinese University of Hong Kong, Hong Kong, China
| | - Cheng Chen
- The Chinese University of Hong Kong, Hong Kong, China
| | | | - Qi Dou
- The Chinese University of Hong Kong, Hong Kong, China
| | - Michal Kozubek
- Centre for Biomedical Image Analysis, Faculty of Informatics, Masaryk University, Brno, Czech Republic
| | - Filip Lux
- Centre for Biomedical Image Analysis, Faculty of Informatics, Masaryk University, Brno, Czech Republic
| | - Jan Michálek
- Centre for Biomedical Image Analysis, Faculty of Informatics, Masaryk University, Brno, Czech Republic
| | - Petr Matula
- Centre for Biomedical Image Analysis, Faculty of Informatics, Masaryk University, Brno, Czech Republic
| | - Miloš Keřkovský
- Department of Radiology and Nuclear Medicine, Faculty of Medicine, Masaryk University, Brno and University Hospital Brno, Brno, Czech Republic
| | - Tereza Kopřivová
- Department of Radiology and Nuclear Medicine, Faculty of Medicine, Masaryk University, Brno and University Hospital Brno, Brno, Czech Republic
| | - Marek Dostál
- Department of Radiology and Nuclear Medicine, Faculty of Medicine, Masaryk University, Brno and University Hospital Brno, Brno, Czech Republic
- Department of Biophysics, Faculty of Medicine, Masaryk University, Brno, Czech Republic
| | - Václav Vybíhal
- Department of Neurosurgery, Faculty of Medicine, Masaryk University, Brno, and University Hospital and Czech Republic, Brno, Czech Republic
| | - Michael A Vogelbaum
- Department of Neuro Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA
| | - J Ross Mitchell
- University of Alberta, Edmonton, AB, Canada
- Alberta Machine Intelligence Institute, Edmonton, AB, Canada
| | - Joaquim Farinhas
- Department of Radiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA
| | | | | | - Marco C Pinho
- University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Divya Reddy
- University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - James Holcomb
- University of Texas Southwestern Medical Center, Dallas, TX, USA
| | | | - Benjamin M Ellingson
- UCLA Brain Tumor Imaging Laboratory (BTIL), Center for Computer Vision and Imaging Biomarkers, Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
- UCLA Neuro-Oncology Program, Department of Neurology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CaA, USA
| | - Timothy F Cloughesy
- UCLA Neuro-Oncology Program, Department of Neurology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CaA, USA
| | - Catalina Raymond
- UCLA Brain Tumor Imaging Laboratory (BTIL), Center for Computer Vision and Imaging Biomarkers, Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Talia Oughourlian
- UCLA Brain Tumor Imaging Laboratory (BTIL), Center for Computer Vision and Imaging Biomarkers, Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
- Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Akifumi Hagiwara
- Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Chencai Wang
- Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Minh-Son To
- College of Medicine and Public Health, Flinders University, Bedford Park, SA, Australia
- Division of Surgery and Perioperative Medicine, Flinders Medical Centre, Bedford Park, SA, Australia
| | - Sargam Bhardwaj
- College of Medicine and Public Health, Flinders University, Bedford Park, SA, Australia
| | - Chee Chong
- South Australia Medical Imaging, Flinders Medical Centre, Bedford Park, SA, Australia
| | - Marc Agzarian
- South Australia Medical Imaging, Flinders Medical Centre, Bedford Park, SA, Australia
- Department of Neurology, Baylor College of Medicine, Houston, TX, USA
| | | | | | - Bernardo C A Teixeira
- Instituto de Neurologia de Curitiba, Curitiba, Paraná, Brazil
- Department of Radiology, Hospital de Clínicas da Universidade Federal do Paraná, Curitiba, Paraná, Brazil
| | - Flávia Sprenger
- Department of Radiology, Hospital de Clínicas da Universidade Federal do Paraná, Curitiba, Paraná, Brazil
| | - David Menotti
- Department of Informatics, Universidade Federal do Paraná, Curitiba, Paraná, Brazil
| | - Diego R Lucio
- Department of Informatics, Universidade Federal do Paraná, Curitiba, Paraná, Brazil
| | - Pamela LaMontagne
- Department of Radiology, Washington University in St. Louis, St. Louis, MO, USA
| | - Daniel Marcus
- Department of Radiology, Washington University in St. Louis, St. Louis, MO, USA
| | - Benedikt Wiestler
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
- TranslaTUM (Zentralinstitut für translationale Krebsforschung der Technischen Universität München), Klinikum rechts der Isar, Munich, Germany
| | - Florian Kofler
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
- TranslaTUM (Zentralinstitut für translationale Krebsforschung der Technischen Universität München), Klinikum rechts der Isar, Munich, Germany
- Image-Based Biomedical Modeling, Department of Informatics, Technical University of Munich, Munich, Germany
| | - Ivan Ezhov
- Department of Informatics, Technical University of Munich, Munich, Bavaria, Germany
- TranslaTUM (Zentralinstitut für translationale Krebsforschung der Technischen Universität München), Klinikum rechts der Isar, Munich, Germany
- Image-Based Biomedical Modeling, Department of Informatics, Technical University of Munich, Munich, Germany
| | - Marie Metz
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Rajan Jain
- Department of Radiology, NYU Grossman School of Medicine, New York, NY, USA
- Department of Neurosurgery, NYU Grossman School of Medicine, New York, NY, USA
| | - Matthew Lee
- Department of Radiology, NYU Grossman School of Medicine, New York, NY, USA
| | - Yvonne W Lui
- Department of Radiology, NYU Grossman School of Medicine, New York, NY, USA
| | - Richard McKinley
- Support Center for Advanced Neuroimaging, University Institute of Diagnostic and Interventional Neuroradiology, University Hospital Bern, Inselspital, University of Bern, Bern, Switzerland
| | - Johannes Slotboom
- Support Center for Advanced Neuroimaging, University Institute of Diagnostic and Interventional Neuroradiology, University Hospital Bern, Inselspital, University of Bern, Bern, Switzerland
| | - Piotr Radojewski
- Support Center for Advanced Neuroimaging, University Institute of Diagnostic and Interventional Neuroradiology, University Hospital Bern, Inselspital, University of Bern, Bern, Switzerland
| | - Raphael Meier
- Support Center for Advanced Neuroimaging, University Institute of Diagnostic and Interventional Neuroradiology, University Hospital Bern, Inselspital, University of Bern, Bern, Switzerland
| | - Roland Wiest
- Support Center for Advanced Neuroimaging, University Institute of Diagnostic and Interventional Neuroradiology, University Hospital Bern, Inselspital, University of Bern, Bern, Switzerland
| | - Derrick Murcia
- Department of Neurosurgery, Anschutz Medical Campus, University of Colorado, Aurora, CO, USA
| | - Eric Fu
- Department of Neurosurgery, Anschutz Medical Campus, University of Colorado, Aurora, CO, USA
| | - Rourke Haas
- Department of Neurosurgery, Anschutz Medical Campus, University of Colorado, Aurora, CO, USA
| | - John Thompson
- Department of Neurosurgery, Anschutz Medical Campus, University of Colorado, Aurora, CO, USA
| | - David Ryan Ormond
- Department of Neurosurgery, Anschutz Medical Campus, University of Colorado, Aurora, CO, USA
| | - Chaitra Badve
- Department of Radiology, University Hospitals Cleveland, Cleveland, OH, USA
| | - Andrew E Sloan
- Department of Neurological Surgery, University Hospitals-Seidman Cancer Center, Cleveland, OH, USA
- Case Comprehensive Cancer Center, Cleveland, OH, USA
- Department of Neurosurgery, Case Western Reserve University School of Medicine, Cleveland, OH, USA
| | - Vachan Vadmal
- Department of Neurosurgery, Case Western Reserve University School of Medicine, Cleveland, OH, USA
| | - Kristin Waite
- National Cancer Institute, National Institute of Health, Division of Cancer Epidemiology and Genetics, Bethesda, MD, USA
| | - Rivka R Colen
- Department of Radiology, Neuroradiology Division, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Diagnostic Radiology, University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Linmin Pei
- University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Murat Ak
- Department of Radiology, Neuroradiology Division, University of Pittsburgh, Pittsburgh, PA, USA
| | - Ashok Srinivasan
- Department of Neuroradiology, University of Michigan, Ann Arbor, MI, USA
| | - J Rajiv Bapuraj
- Department of Neuroradiology, University of Michigan, Ann Arbor, MI, USA
| | - Arvind Rao
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA
| | - Nicholas Wang
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA
| | - Ota Yoshiaki
- Department of Neuroradiology, University of Michigan, Ann Arbor, MI, USA
| | - Toshio Moritani
- Department of Neuroradiology, University of Michigan, Ann Arbor, MI, USA
| | - Sevcan Turk
- Department of Neuroradiology, University of Michigan, Ann Arbor, MI, USA
| | - Joonsang Lee
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA
| | - Snehal Prabhudesai
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA
| | - Fanny Morón
- Department of Radiology, Baylor College of Medicine, Houston, TX, USA
| | - Jacob Mandel
- Department of Neurology, Baylor College of Medicine, Houston, TX, USA
| | - Konstantinos Kamnitsas
- Department of Computing, Imperial College London, London, UK
- Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford, UK
| | - Ben Glocker
- Department of Computing, Imperial College London, London, UK
| | - Luke V M Dixon
- Department of Radiology, Imperial College NHS Healthcare Trust, London, UK
| | - Matthew Williams
- Computational Oncology Group, Institute for Global Health Innovation, Imperial College London, London, UK
| | - Peter Zampakis
- Department of NeuroRadiology, University of Patras, Patras, Greece
| | | | - Panagiotis Tsiganos
- Clinical Radiology Laboratory, Department of Medicine, University of Patras, Patras, Greece
| | - Sotiris Alexiou
- Department of Electrical and Computer Engineering, University of Patras, Patras, Greece
| | - Ilias Haliassos
- Department of Neuro-Oncology, University of Patras, Patras, Greece
| | - Evangelia I Zacharaki
- Department of Electrical and Computer Engineering, University of Patras, Patras, Greece
| | | | | | | | | | | | | | - Sung Soo Ahn
- Yonsei University College of Medicine, Seoul, Korea
| | - Bing Luo
- Department of Radiation Oncology, Henry Ford Health System, Detroit, MI, USA
| | - Laila Poisson
- Public Health Sciences, Henry Ford Health System, Detroit, MI, USA
| | - Ning Wen
- Department of Radiation Oncology, Henry Ford Health System, Detroit, MI, USA
- SJTU-Ruijin-UIH Institute for Medical Imaging Technology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 200025, Shanghai, China
| | | | - Ruchika Verma
- Alberta Machine Intelligence Institute, Edmonton, AB, Canada
- Case Western Reserve University, Cleveland, OH, USA
| | - Rohan Bareja
- Case Western Reserve University, Cleveland, OH, USA
| | - Ipsa Yadav
- Case Western Reserve University, Cleveland, OH, USA
| | | | - Neeraj Kumar
- University of Alberta, Edmonton, AB, Canada
- Alberta Machine Intelligence Institute, Edmonton, AB, Canada
| | - Marion Smits
- Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Centre Rotterdam, Rotterdam, Netherlands
| | - Sebastian R van der Voort
- Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Centre Rotterdam, Rotterdam, Netherlands
| | - Ahmed Alafandi
- Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Centre Rotterdam, Rotterdam, Netherlands
| | - Fatih Incekara
- Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Centre Rotterdam, Rotterdam, Netherlands
- Department of Neurosurgery, Brain Tumor Center, Erasmus MC University Medical Centre Rotterdam, Rotterdam, Netherlands
| | - Maarten M J Wijnenga
- Department of Neurology, Brain Tumor Center, Erasmus MC Cancer Institute, Rotterdam, Netherlands
| | - Georgios Kapsas
- Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Centre Rotterdam, Rotterdam, Netherlands
| | - Renske Gahrmann
- Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Centre Rotterdam, Rotterdam, Netherlands
| | - Joost W Schouten
- Department of Neurosurgery, Brain Tumor Center, Erasmus MC University Medical Centre Rotterdam, Rotterdam, Netherlands
| | - Hendrikus J Dubbink
- Department of Pathology, Brain Tumor Center, Erasmus MC Cancer Institute, Rotterdam, Netherlands
| | - Arnaud J P E Vincent
- Department of Neurosurgery, Brain Tumor Center, Erasmus MC University Medical Centre Rotterdam, Rotterdam, Netherlands
| | - Martin J van den Bent
- Department of Neurology, Brain Tumor Center, Erasmus MC Cancer Institute, Rotterdam, Netherlands
| | - Pim J French
- Department of Neurology, Brain Tumor Center, Erasmus MC Cancer Institute, Rotterdam, Netherlands
| | - Stefan Klein
- Biomedical Imaging Group Rotterdam, Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Centre Rotterdam, Rotterdam, Netherlands
| | - Yading Yuan
- Department of Radiation Oncology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Sonam Sharma
- Department of Radiation Oncology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Tzu-Chi Tseng
- Department of Radiation Oncology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Saba Adabi
- Department of Radiation Oncology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Simone P Niclou
- NORLUX Neuro-Oncology Laboratory, Department of Cancer Research, Luxembourg Institute of Health, Luxembourg, Luxembourg
| | - Olivier Keunen
- Translation Radiomics, Department of Cancer Research, Luxembourg Institute of Health, Luxembourg, Luxembourg
| | - Ann-Christin Hau
- NORLUX Neuro-Oncology Laboratory, Department of Cancer Research, Luxembourg Institute of Health, Luxembourg, Luxembourg
- Luxembourg Center of Neuropathology, Laboratoire National De Santé, Luxembourg, Luxembourg
| | - Martin Vallières
- Department of Computer Science, Université de Sherbrooke, Sherbrooke, QC, Canada
- Centre de Recherche du Centre Hospitalière Universitaire de Sherbrooke, Sherbrooke, QC, Canada
| | - David Fortin
- Centre de Recherche du Centre Hospitalière Universitaire de Sherbrooke, Sherbrooke, QC, Canada
- Division of Neurosurgery and Neuro-Oncology, Faculty of Medicine and Health Science, Université de Sherbrooke, Sherbrooke, QC, Canada
| | - Martin Lepage
- Centre de Recherche du Centre Hospitalière Universitaire de Sherbrooke, Sherbrooke, QC, Canada
- Department of Nuclear Medicine and Radiobiology, Sherbrooke Molecular Imaging Centre, Université de Sherbrooke, Sherbrooke, QC, Canada
| | - Bennett Landman
- Electrical and Computer Engineering, Vanderbilt University, Nashville, TN, USA
| | - Karthik Ramadass
- Electrical and Computer Engineering, Vanderbilt University, Nashville, TN, USA
| | - Kaiwen Xu
- Department of Computer Science, Vanderbilt University, Nashville, TN, USA
| | - Silky Chotai
- Department of Neurosurgery, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Lola B Chambless
- Department of Neurosurgery, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Akshitkumar Mistry
- Department of Neurosurgery, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Reid C Thompson
- Department of Neurosurgery, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Yuriy Gusev
- Innovation Center for Biomedical Informatics (ICBI), Georgetown University, Washington, DC, USA
| | - Krithika Bhuvaneshwar
- Innovation Center for Biomedical Informatics (ICBI), Georgetown University, Washington, DC, USA
| | - Anousheh Sayah
- Division of Neuroradiology & Neurointerventional Radiology, Department of Radiology, MedStar Georgetown University Hospital, Washington, DC, USA
| | - Camelia Bencheqroun
- Innovation Center for Biomedical Informatics (ICBI), Georgetown University, Washington, DC, USA
| | - Anas Belouali
- Innovation Center for Biomedical Informatics (ICBI), Georgetown University, Washington, DC, USA
| | - Subha Madhavan
- Innovation Center for Biomedical Informatics (ICBI), Georgetown University, Washington, DC, USA
| | - Thomas C Booth
- School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK
- Department of Neuroradiology, Ruskin Wing, King's College Hospital NHS Foundation Trust, London, UK
| | - Alysha Chelliah
- School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK
| | - Marc Modat
- School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK
| | - Haris Shuaib
- Stoke Mandeville Hospital, Mandeville Road, Aylesbury, UK
- Department of Biomedical and Molecular Sciences, Queen's University, Kingston, ON, Canada
| | - Carmen Dragos
- Stoke Mandeville Hospital, Mandeville Road, Aylesbury, UK
| | | | | | | | | | - Shady Gamal
- University of Cairo School of Medicine, Giza, Egypt
| | | | | | | | - Ji Eun Park
- Department of Radiology, Asan Medical Center, Seoul, South Korea
| | - Jihye Yun
- Department of Radiology, Asan Medical Center, Seoul, South Korea
| | - Ho Sung Kim
- Department of Radiology, Asan Medical Center, Seoul, South Korea
| | - Abhishek Mahajan
- The Clatterbridge Cancer Centre NHS Foundation Trust Pembroke Place, Liverpool, UK
| | - Mark Muzi
- Department of Radiology, University of Washington, Seattle, WA, USA
| | - Sean Benson
- Netherlands Cancer Institute, Amsterdam, Netherlands
| | - Regina G H Beets-Tan
- Department of Radiology, Netherlands Cancer Institute, Amsterdam, Netherlands
- GROW School of Oncology and Developmental Biology, Maastricht, Netherlands
| | - Jonas Teuwen
- Netherlands Cancer Institute, Amsterdam, Netherlands
| | | | | | - William Escobar
- Clínica Imbanaco Grupo Quirón Salud, Cali, Colombia
- Universidad del Valle, Cali, Colombia
| | | | - Jose Bernal
- Universidad del Valle, Cali, Colombia
- The University of Edinburgh, Edinburgh, UK
| | | | - Joseph Choi
- Department of Industrial and Systems Engineering, University of Iowa, Iowa, USA
| | - Stephen Baek
- Department of Industrial and Systems Engineering, Department of Radiation Oncology, University of Iowa, Iowa City, IA, USA
| | - Yusung Kim
- Department of Radiation Oncology, University of Iowa, Iowa City, IA, USA
| | - Heba Ismael
- Department of Radiation Oncology, University of Iowa, Iowa City, IA, USA
| | - Bryan Allen
- Department of Radiation Oncology, University of Iowa, Iowa City, IA, USA
| | - John M Buatti
- Department of Radiation Oncology, University of Iowa, Iowa City, IA, USA
| | | | - Hongwei Li
- Department of Quantitative Biomedicine, University of Zurich, Zurich, Switzerland
| | - Tobias Weiss
- Department of Neurology, Clinical Neuroscience Center, University Hospital Zurich and University of Zurich, Zurich, Switzerland
| | - Michael Weller
- Department of Neurology, Clinical Neuroscience Center, University Hospital Zurich and University of Zurich, Zurich, Switzerland
| | - Andrea Bink
- Department of Neuroradiology, Clinical Neuroscience Center, University Hospital Zurich and University of Zurich, Zurich, Switzerland
| | - Bertrand Pouymayou
- Department of Neuroradiology, Clinical Neuroscience Center, University Hospital Zurich and University of Zurich, Zurich, Switzerland
| | | | - Joel Saltz
- Department of Biomedical Informatics, Stony Brook University, Stony Brook, New York, USA
| | - Prateek Prasanna
- Department of Biomedical Informatics, Stony Brook University, Stony Brook, New York, USA
| | - Sampurna Shrestha
- Department of Biomedical Informatics, Stony Brook University, Stony Brook, New York, USA
| | - Kartik M Mani
- Department of Biomedical Informatics, Stony Brook University, Stony Brook, New York, USA
- Department of Radiation Oncology, Stony Brook University, Stony Brook, NY, USA
| | - David Payne
- Department of Radiology, Stony Brook University, Stony Brook, NY, USA
| | - Tahsin Kurc
- Department of Biomedical Informatics, Stony Brook University, Stony Brook, New York, USA
- Scientific Data Group, Oak Ridge National Laboratory, Oak Ridge, TN, USA
| | - Enrique Pelaez
- Escuela Superior Politecnica del Litoral, Guayaquil, Guayas, Ecuador
| | | | - Francis Loayza
- Escuela Superior Politecnica del Litoral, Guayaquil, Guayas, Ecuador
| | | | | | | | | | - Franco Vera
- Universidad de Concepción, Concepción, Biobío, Chile
| | - Elvis Ríos
- Universidad de Concepción, Concepción, Biobío, Chile
| | - Eduardo López
- Universidad de Concepción, Concepción, Biobío, Chile
| | - Sergio A Velastin
- School of Electronic Engineering and Computer Science, Queen Mary University of London, London, UK
| | - Godwin Ogbole
- Department of Radiology, University College Hospital Ibadan, Oyo, Nigeria
| | - Mayowa Soneye
- Department of Radiology, University College Hospital Ibadan, Oyo, Nigeria
| | - Dotun Oyekunle
- Department of Radiology, University College Hospital Ibadan, Oyo, Nigeria
| | | | - Babatunde Osobu
- Department of Radiology, University College Hospital Ibadan, Oyo, Nigeria
| | - Mustapha Shu'aibu
- Department of Radiology, Muhammad Abdullahi Wase Teaching Hospital, Kano, Nigeria
| | - Adeleye Dorcas
- Department of Radiology, Obafemi Awolowo University Ile-Ife, Ile-Ife, Osun, Nigeria
| | - Farouk Dako
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Center for Global Health, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Amber L Simpson
- Department of Biomedical and Molecular Sciences, Queen's University, Kingston, ON, Canada
- School of Computing, Queen's University, Kingston, ON, Canada
| | - Mohammad Hamghalam
- School of Computing, Queen's University, Kingston, ON, Canada
- Department of Electrical Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran
| | - Jacob J Peoples
- School of Computing, Queen's University, Kingston, ON, Canada
| | - Ricky Hu
- School of Computing, Queen's University, Kingston, ON, Canada
| | - Anh Tran
- School of Computing, Queen's University, Kingston, ON, Canada
| | - Danielle Cutler
- The Faculty of Arts & Sciences, Queen's University, Kingston, ON, Canada
| | - Fabio Y Moraes
- Department of Oncology, Queen's University, Kingston, ON, Canada
| | - Michael A Boss
- Center for Research and Innovation, American College of Radiology, Philadelphia, PA, USA
| | - James Gimpel
- Center for Research and Innovation, American College of Radiology, Philadelphia, PA, USA
| | - Deepak Kattil Veettil
- Center for Research and Innovation, American College of Radiology, Philadelphia, PA, USA
| | - Kendall Schmidt
- Data Science Institute, American College of Radiology, Reston, VA, USA
| | - Brian Bialecki
- Data Science Institute, American College of Radiology, Reston, VA, USA
| | - Sailaja Marella
- Center for Research and Innovation, American College of Radiology, Philadelphia, PA, USA
| | - Cynthia Price
- Center for Research and Innovation, American College of Radiology, Philadelphia, PA, USA
| | - Lisa Cimino
- Center for Research and Innovation, American College of Radiology, Philadelphia, PA, USA
| | - Charles Apgar
- Center for Research and Innovation, American College of Radiology, Philadelphia, PA, USA
| | | | - Bjoern Menze
- Department of Informatics, Technical University of Munich, Munich, Bavaria, Germany
- Department of Quantitative Biomedicine, University of Zurich, Zurich, Switzerland
| | - Jill S Barnholtz-Sloan
- National Cancer Institute, National Institute of Health, Division of Cancer Epidemiology and Genetics, Bethesda, MD, USA
- Center for Biomedical Informatics and Information Technology, National Cancer Institute (NCI), National Institute of Health, Bethesda, MD, USA
| | | | - Spyridon Bakas
- Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, USA.
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
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Pati S, Baid U, Edwards B, Sheller M, Wang SH, Reina GA, Foley P, Gruzdev A, Karkada D, Davatzikos C, Sako C, Ghodasara S, Bilello M, Mohan S, Vollmuth P, Brugnara G, Preetha CJ, Sahm F, Maier-Hein K, Zenk M, Bendszus M, Wick W, Calabrese E, Rudie J, Villanueva-Meyer J, Cha S, Ingalhalikar M, Jadhav M, Pandey U, Saini J, Garrett J, Larson M, Jeraj R, Currie S, Frood R, Fatania K, Huang RY, Chang K, Balaña C, Capellades J, Puig J, Trenkler J, Pichler J, Necker G, Haunschmidt A, Meckel S, Shukla G, Liem S, Alexander GS, Lombardo J, Palmer JD, Flanders AE, Dicker AP, Sair HI, Jones CK, Venkataraman A, Jiang M, So TY, Chen C, Heng PA, Dou Q, Kozubek M, Lux F, Michálek J, Matula P, Keřkovský M, Kopřivová T, Dostál M, Vybíhal V, Vogelbaum MA, Mitchell JR, Farinhas J, Maldjian JA, Yogananda CGB, Pinho MC, Reddy D, Holcomb J, Wagner BC, Ellingson BM, Cloughesy TF, Raymond C, Oughourlian T, Hagiwara A, Wang C, To MS, Bhardwaj S, Chong C, Agzarian M, Falcão AX, Martins SB, Teixeira BCA, Sprenger F, Menotti D, Lucio DR, LaMontagne P, Marcus D, Wiestler B, Kofler F, Ezhov I, Metz M, Jain R, Lee M, Lui YW, McKinley R, Slotboom J, Radojewski P, Meier R, Wiest R, Murcia D, Fu E, Haas R, Thompson J, Ormond DR, Badve C, Sloan AE, Vadmal V, Waite K, Colen RR, Pei L, Ak M, Srinivasan A, Bapuraj JR, Rao A, Wang N, Yoshiaki O, Moritani T, Turk S, Lee J, Prabhudesai S, Morón F, Mandel J, Kamnitsas K, Glocker B, Dixon LVM, Williams M, Zampakis P, Panagiotopoulos V, Tsiganos P, Alexiou S, Haliassos I, Zacharaki EI, Moustakas K, Kalogeropoulou C, Kardamakis DM, Choi YS, Lee SK, Chang JH, Ahn SS, Luo B, Poisson L, Wen N, Tiwari P, Verma R, Bareja R, Yadav I, Chen J, Kumar N, Smits M, van der Voort SR, Alafandi A, Incekara F, Wijnenga MMJ, Kapsas G, Gahrmann R, Schouten JW, Dubbink HJ, Vincent AJPE, van den Bent MJ, French PJ, Klein S, Yuan Y, Sharma S, Tseng TC, Adabi S, Niclou SP, Keunen O, Hau AC, Vallières M, Fortin D, Lepage M, Landman B, Ramadass K, Xu K, Chotai S, Chambless LB, Mistry A, Thompson RC, Gusev Y, Bhuvaneshwar K, Sayah A, Bencheqroun C, Belouali A, Madhavan S, Booth TC, Chelliah A, Modat M, Shuaib H, Dragos C, Abayazeed A, Kolodziej K, Hill M, Abbassy A, Gamal S, Mekhaimar M, Qayati M, Reyes M, Park JE, Yun J, Kim HS, Mahajan A, Muzi M, Benson S, Beets-Tan RGH, Teuwen J, Herrera-Trujillo A, Trujillo M, Escobar W, Abello A, Bernal J, Gómez J, Choi J, Baek S, Kim Y, Ismael H, Allen B, Buatti JM, Kotrotsou A, Li H, Weiss T, Weller M, Bink A, Pouymayou B, Shaykh HF, Saltz J, Prasanna P, Shrestha S, Mani KM, Payne D, Kurc T, Pelaez E, Franco-Maldonado H, Loayza F, Quevedo S, Guevara P, Torche E, Mendoza C, Vera F, Ríos E, López E, Velastin SA, Ogbole G, Soneye M, Oyekunle D, Odafe-Oyibotha O, Osobu B, Shu'aibu M, Dorcas A, Dako F, Simpson AL, Hamghalam M, Peoples JJ, Hu R, Tran A, Cutler D, Moraes FY, Boss MA, Gimpel J, Veettil DK, Schmidt K, Bialecki B, Marella S, Price C, Cimino L, Apgar C, Shah P, Menze B, Barnholtz-Sloan JS, Martin J, Bakas S. Federated learning enables big data for rare cancer boundary detection. Nat Commun 2022; 13:7346. [PMID: 36470898 PMCID: PMC9722782 DOI: 10.1038/s41467-022-33407-5] [Citation(s) in RCA: 50] [Impact Index Per Article: 25.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2022] [Accepted: 09/16/2022] [Indexed: 12/12/2022] Open
Abstract
Although machine learning (ML) has shown promise across disciplines, out-of-sample generalizability is concerning. This is currently addressed by sharing multi-site data, but such centralization is challenging/infeasible to scale due to various limitations. Federated ML (FL) provides an alternative paradigm for accurate and generalizable ML, by only sharing numerical model updates. Here we present the largest FL study to-date, involving data from 71 sites across 6 continents, to generate an automatic tumor boundary detector for the rare disease of glioblastoma, reporting the largest such dataset in the literature (n = 6, 314). We demonstrate a 33% delineation improvement for the surgically targetable tumor, and 23% for the complete tumor extent, over a publicly trained model. We anticipate our study to: 1) enable more healthcare studies informed by large diverse data, ensuring meaningful results for rare diseases and underrepresented populations, 2) facilitate further analyses for glioblastoma by releasing our consensus model, and 3) demonstrate the FL effectiveness at such scale and task-complexity as a paradigm shift for multi-site collaborations, alleviating the need for data-sharing.
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Affiliation(s)
- Sarthak Pati
- Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, USA
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Informatics, Technical University of Munich, Munich, Bavaria, Germany
| | - Ujjwal Baid
- Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, USA
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | | | | | | | | | | | | | | | - Christos Davatzikos
- Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, USA
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Chiharu Sako
- Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, USA
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Satyam Ghodasara
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Michel Bilello
- Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, USA
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Suyash Mohan
- Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, USA
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Philipp Vollmuth
- Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany
| | - Gianluca Brugnara
- Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany
| | | | - Felix Sahm
- Clinical Cooperation Unit Neuropathology, German Cancer Consortium (DKTK) within the German Cancer Research Center (DKFZ), Heidelberg, Germany
- Department of Neuropathology, Heidelberg University Hospital, Heidelberg, Germany
| | - Klaus Maier-Hein
- Division of Medical Image Computing, German Cancer Research Center, Heidelberg, Germany
- Pattern Analysis and Learning Group, Department of Radiation Oncology, Heidelberg University Hospital, Heidelberg, Germany
| | - Maximilian Zenk
- Division of Medical Image Computing, German Cancer Research Center, Heidelberg, Germany
| | - Martin Bendszus
- Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany
| | - Wolfgang Wick
- Clinical Cooperation Unit Neuropathology, German Cancer Consortium (DKTK) within the German Cancer Research Center (DKFZ), Heidelberg, Germany
- Neurology Clinic, Heidelberg University Hospital, Heidelberg, Germany
| | - Evan Calabrese
- Department of Radiology & Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA
| | - Jeffrey Rudie
- Department of Radiology & Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA
| | - Javier Villanueva-Meyer
- Department of Radiology & Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA
| | - Soonmee Cha
- Department of Radiology & Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA
| | - Madhura Ingalhalikar
- Symbiosis Center for Medical Image Analysis, Symbiosis International University, Pune, Maharashtra, India
| | - Manali Jadhav
- Symbiosis Center for Medical Image Analysis, Symbiosis International University, Pune, Maharashtra, India
| | - Umang Pandey
- Symbiosis Center for Medical Image Analysis, Symbiosis International University, Pune, Maharashtra, India
| | - Jitender Saini
- Department of Neuroimaging and Interventional Radiology, National Institute of Mental Health and Neurosciences, Bangalore, Karnataka, India
| | - John Garrett
- Department of Radiology, School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA
- Department of Medical Physics, School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA
| | - Matthew Larson
- Department of Radiology, School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA
| | - Robert Jeraj
- Department of Radiology, School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA
- Department of Medical Physics, School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA
| | - Stuart Currie
- Leeds Teaching Hospitals Trust, Department of Radiology, Leeds, UK
| | - Russell Frood
- Leeds Teaching Hospitals Trust, Department of Radiology, Leeds, UK
| | - Kavi Fatania
- Leeds Teaching Hospitals Trust, Department of Radiology, Leeds, UK
| | - Raymond Y Huang
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Ken Chang
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, USA
| | | | | | - Josep Puig
- Department of Radiology (IDI), Girona Biomedical Research Institute (IdIBGi), Josep Trueta University Hospital, Girona, Spain
| | - Johannes Trenkler
- Institute of Neuroradiology, Neuromed Campus (NMC), Kepler University Hospital Linz, Linz, Austria
| | - Josef Pichler
- Department of Neurooncology, Neuromed Campus (NMC), Kepler University Hospital Linz, Linz, Austria
| | - Georg Necker
- Institute of Neuroradiology, Neuromed Campus (NMC), Kepler University Hospital Linz, Linz, Austria
| | - Andreas Haunschmidt
- Institute of Neuroradiology, Neuromed Campus (NMC), Kepler University Hospital Linz, Linz, Austria
| | - Stephan Meckel
- Institute of Neuroradiology, Neuromed Campus (NMC), Kepler University Hospital Linz, Linz, Austria
- Institute of Diagnostic and Interventional Neuroradiology, RKH Klinikum Ludwigsburg, Ludwigsburg, Germany
| | - Gaurav Shukla
- Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, USA
- Department of Radiation Oncology, Christiana Care Health System, Philadelphia, PA, USA
| | - Spencer Liem
- Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA, USA
| | - Gregory S Alexander
- Department of Radiation Oncology, University of Maryland, Baltimore, MD, USA
| | - Joseph Lombardo
- Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA, USA
- Department of Radiation Oncology, Sidney Kimmel Cancer Center, Thomas Jefferson University, Philadelphia, PA, USA
| | - Joshua D Palmer
- Department of Radiation Oncology, The James Cancer Hospital and Solove Research Institute, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
| | - Adam E Flanders
- Department of Radiology, Sidney Kimmel Cancer Center, Thomas Jefferson University, Philadelphia, PA, USA
| | - Adam P Dicker
- Department of Radiation Oncology, Sidney Kimmel Cancer Center, Thomas Jefferson University, Philadelphia, PA, USA
| | - Haris I Sair
- The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- The Malone Center for Engineering in Healthcare, The Whiting School of Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Craig K Jones
- The Malone Center for Engineering in Healthcare, The Whiting School of Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Archana Venkataraman
- Department of Electrical and Computer Engineering, Whiting School of Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Meirui Jiang
- The Chinese University of Hong Kong, Hong Kong, China
| | - Tiffany Y So
- The Chinese University of Hong Kong, Hong Kong, China
| | - Cheng Chen
- The Chinese University of Hong Kong, Hong Kong, China
| | | | - Qi Dou
- The Chinese University of Hong Kong, Hong Kong, China
| | - Michal Kozubek
- Centre for Biomedical Image Analysis, Faculty of Informatics, Masaryk University, Brno, Czech Republic
| | - Filip Lux
- Centre for Biomedical Image Analysis, Faculty of Informatics, Masaryk University, Brno, Czech Republic
| | - Jan Michálek
- Centre for Biomedical Image Analysis, Faculty of Informatics, Masaryk University, Brno, Czech Republic
| | - Petr Matula
- Centre for Biomedical Image Analysis, Faculty of Informatics, Masaryk University, Brno, Czech Republic
| | - Miloš Keřkovský
- Department of Radiology and Nuclear Medicine, Faculty of Medicine, Masaryk University, Brno and University Hospital Brno, Brno, Czech Republic
| | - Tereza Kopřivová
- Department of Radiology and Nuclear Medicine, Faculty of Medicine, Masaryk University, Brno and University Hospital Brno, Brno, Czech Republic
| | - Marek Dostál
- Department of Radiology and Nuclear Medicine, Faculty of Medicine, Masaryk University, Brno and University Hospital Brno, Brno, Czech Republic
- Department of Biophysics, Faculty of Medicine, Masaryk University, Brno, Czech Republic
| | - Václav Vybíhal
- Department of Neurosurgery, Faculty of Medicine, Masaryk University, Brno, and University Hospital and Czech Republic, Brno, Czech Republic
| | - Michael A Vogelbaum
- Department of Neuro Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA
| | - J Ross Mitchell
- University of Alberta, Edmonton, AB, Canada
- Alberta Machine Intelligence Institute, Edmonton, AB, Canada
| | - Joaquim Farinhas
- Department of Radiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA
| | | | | | - Marco C Pinho
- University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Divya Reddy
- University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - James Holcomb
- University of Texas Southwestern Medical Center, Dallas, TX, USA
| | | | - Benjamin M Ellingson
- UCLA Brain Tumor Imaging Laboratory (BTIL), Center for Computer Vision and Imaging Biomarkers, Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
- UCLA Neuro-Oncology Program, Department of Neurology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CaA, USA
| | - Timothy F Cloughesy
- UCLA Neuro-Oncology Program, Department of Neurology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CaA, USA
| | - Catalina Raymond
- UCLA Brain Tumor Imaging Laboratory (BTIL), Center for Computer Vision and Imaging Biomarkers, Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Talia Oughourlian
- UCLA Brain Tumor Imaging Laboratory (BTIL), Center for Computer Vision and Imaging Biomarkers, Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
- Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Akifumi Hagiwara
- Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Chencai Wang
- Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Minh-Son To
- College of Medicine and Public Health, Flinders University, Bedford Park, SA, Australia
- Division of Surgery and Perioperative Medicine, Flinders Medical Centre, Bedford Park, SA, Australia
| | - Sargam Bhardwaj
- College of Medicine and Public Health, Flinders University, Bedford Park, SA, Australia
| | - Chee Chong
- South Australia Medical Imaging, Flinders Medical Centre, Bedford Park, SA, Australia
| | - Marc Agzarian
- South Australia Medical Imaging, Flinders Medical Centre, Bedford Park, SA, Australia
- Department of Neurology, Baylor College of Medicine, Houston, TX, USA
| | | | | | - Bernardo C A Teixeira
- Instituto de Neurologia de Curitiba, Curitiba, Paraná, Brazil
- Department of Radiology, Hospital de Clínicas da Universidade Federal do Paraná, Curitiba, Paraná, Brazil
| | - Flávia Sprenger
- Department of Radiology, Hospital de Clínicas da Universidade Federal do Paraná, Curitiba, Paraná, Brazil
| | - David Menotti
- Department of Informatics, Universidade Federal do Paraná, Curitiba, Paraná, Brazil
| | - Diego R Lucio
- Department of Informatics, Universidade Federal do Paraná, Curitiba, Paraná, Brazil
| | - Pamela LaMontagne
- Department of Radiology, Washington University in St. Louis, St. Louis, MO, USA
| | - Daniel Marcus
- Department of Radiology, Washington University in St. Louis, St. Louis, MO, USA
| | - Benedikt Wiestler
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
- TranslaTUM (Zentralinstitut für translationale Krebsforschung der Technischen Universität München), Klinikum rechts der Isar, Munich, Germany
| | - Florian Kofler
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
- TranslaTUM (Zentralinstitut für translationale Krebsforschung der Technischen Universität München), Klinikum rechts der Isar, Munich, Germany
- Image-Based Biomedical Modeling, Department of Informatics, Technical University of Munich, Munich, Germany
| | - Ivan Ezhov
- Department of Informatics, Technical University of Munich, Munich, Bavaria, Germany
- TranslaTUM (Zentralinstitut für translationale Krebsforschung der Technischen Universität München), Klinikum rechts der Isar, Munich, Germany
- Image-Based Biomedical Modeling, Department of Informatics, Technical University of Munich, Munich, Germany
| | - Marie Metz
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Rajan Jain
- Department of Radiology, NYU Grossman School of Medicine, New York, NY, USA
- Department of Neurosurgery, NYU Grossman School of Medicine, New York, NY, USA
| | - Matthew Lee
- Department of Radiology, NYU Grossman School of Medicine, New York, NY, USA
| | - Yvonne W Lui
- Department of Radiology, NYU Grossman School of Medicine, New York, NY, USA
| | - Richard McKinley
- Support Center for Advanced Neuroimaging, University Institute of Diagnostic and Interventional Neuroradiology, University Hospital Bern, Inselspital, University of Bern, Bern, Switzerland
| | - Johannes Slotboom
- Support Center for Advanced Neuroimaging, University Institute of Diagnostic and Interventional Neuroradiology, University Hospital Bern, Inselspital, University of Bern, Bern, Switzerland
| | - Piotr Radojewski
- Support Center for Advanced Neuroimaging, University Institute of Diagnostic and Interventional Neuroradiology, University Hospital Bern, Inselspital, University of Bern, Bern, Switzerland
| | - Raphael Meier
- Support Center for Advanced Neuroimaging, University Institute of Diagnostic and Interventional Neuroradiology, University Hospital Bern, Inselspital, University of Bern, Bern, Switzerland
| | - Roland Wiest
- Support Center for Advanced Neuroimaging, University Institute of Diagnostic and Interventional Neuroradiology, University Hospital Bern, Inselspital, University of Bern, Bern, Switzerland
| | - Derrick Murcia
- Department of Neurosurgery, Anschutz Medical Campus, University of Colorado, Aurora, CO, USA
| | - Eric Fu
- Department of Neurosurgery, Anschutz Medical Campus, University of Colorado, Aurora, CO, USA
| | - Rourke Haas
- Department of Neurosurgery, Anschutz Medical Campus, University of Colorado, Aurora, CO, USA
| | - John Thompson
- Department of Neurosurgery, Anschutz Medical Campus, University of Colorado, Aurora, CO, USA
| | - David Ryan Ormond
- Department of Neurosurgery, Anschutz Medical Campus, University of Colorado, Aurora, CO, USA
| | - Chaitra Badve
- Department of Radiology, University Hospitals Cleveland, Cleveland, OH, USA
| | - Andrew E Sloan
- Department of Neurological Surgery, University Hospitals-Seidman Cancer Center, Cleveland, OH, USA
- Case Comprehensive Cancer Center, Cleveland, OH, USA
- Department of Neurosurgery, Case Western Reserve University School of Medicine, Cleveland, OH, USA
| | - Vachan Vadmal
- Department of Neurosurgery, Case Western Reserve University School of Medicine, Cleveland, OH, USA
| | - Kristin Waite
- National Cancer Institute, National Institute of Health, Division of Cancer Epidemiology and Genetics, Bethesda, MD, USA
| | - Rivka R Colen
- Department of Radiology, Neuroradiology Division, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Diagnostic Radiology, University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Linmin Pei
- University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Murat Ak
- Department of Radiology, Neuroradiology Division, University of Pittsburgh, Pittsburgh, PA, USA
| | - Ashok Srinivasan
- Department of Neuroradiology, University of Michigan, Ann Arbor, MI, USA
| | - J Rajiv Bapuraj
- Department of Neuroradiology, University of Michigan, Ann Arbor, MI, USA
| | - Arvind Rao
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA
| | - Nicholas Wang
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA
| | - Ota Yoshiaki
- Department of Neuroradiology, University of Michigan, Ann Arbor, MI, USA
| | - Toshio Moritani
- Department of Neuroradiology, University of Michigan, Ann Arbor, MI, USA
| | - Sevcan Turk
- Department of Neuroradiology, University of Michigan, Ann Arbor, MI, USA
| | - Joonsang Lee
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA
| | - Snehal Prabhudesai
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA
| | - Fanny Morón
- Department of Radiology, Baylor College of Medicine, Houston, TX, USA
| | - Jacob Mandel
- Department of Neurology, Baylor College of Medicine, Houston, TX, USA
| | - Konstantinos Kamnitsas
- Department of Computing, Imperial College London, London, UK
- Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford, UK
| | - Ben Glocker
- Department of Computing, Imperial College London, London, UK
| | - Luke V M Dixon
- Department of Radiology, Imperial College NHS Healthcare Trust, London, UK
| | - Matthew Williams
- Computational Oncology Group, Institute for Global Health Innovation, Imperial College London, London, UK
| | - Peter Zampakis
- Department of NeuroRadiology, University of Patras, Patras, Greece
| | | | - Panagiotis Tsiganos
- Clinical Radiology Laboratory, Department of Medicine, University of Patras, Patras, Greece
| | - Sotiris Alexiou
- Department of Electrical and Computer Engineering, University of Patras, Patras, Greece
| | - Ilias Haliassos
- Department of Neuro-Oncology, University of Patras, Patras, Greece
| | - Evangelia I Zacharaki
- Department of Electrical and Computer Engineering, University of Patras, Patras, Greece
| | | | | | | | | | | | | | - Sung Soo Ahn
- Yonsei University College of Medicine, Seoul, Korea
| | - Bing Luo
- Department of Radiation Oncology, Henry Ford Health System, Detroit, MI, USA
| | - Laila Poisson
- Public Health Sciences, Henry Ford Health System, Detroit, MI, USA
| | - Ning Wen
- Department of Radiation Oncology, Henry Ford Health System, Detroit, MI, USA
- SJTU-Ruijin-UIH Institute for Medical Imaging Technology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 200025, Shanghai, China
| | | | - Ruchika Verma
- Alberta Machine Intelligence Institute, Edmonton, AB, Canada
- Case Western Reserve University, Cleveland, OH, USA
| | - Rohan Bareja
- Case Western Reserve University, Cleveland, OH, USA
| | - Ipsa Yadav
- Case Western Reserve University, Cleveland, OH, USA
| | | | - Neeraj Kumar
- University of Alberta, Edmonton, AB, Canada
- Alberta Machine Intelligence Institute, Edmonton, AB, Canada
| | - Marion Smits
- Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Centre Rotterdam, Rotterdam, Netherlands
| | - Sebastian R van der Voort
- Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Centre Rotterdam, Rotterdam, Netherlands
| | - Ahmed Alafandi
- Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Centre Rotterdam, Rotterdam, Netherlands
| | - Fatih Incekara
- Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Centre Rotterdam, Rotterdam, Netherlands
- Department of Neurosurgery, Brain Tumor Center, Erasmus MC University Medical Centre Rotterdam, Rotterdam, Netherlands
| | - Maarten M J Wijnenga
- Department of Neurology, Brain Tumor Center, Erasmus MC Cancer Institute, Rotterdam, Netherlands
| | - Georgios Kapsas
- Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Centre Rotterdam, Rotterdam, Netherlands
| | - Renske Gahrmann
- Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Centre Rotterdam, Rotterdam, Netherlands
| | - Joost W Schouten
- Department of Neurosurgery, Brain Tumor Center, Erasmus MC University Medical Centre Rotterdam, Rotterdam, Netherlands
| | - Hendrikus J Dubbink
- Department of Pathology, Brain Tumor Center, Erasmus MC Cancer Institute, Rotterdam, Netherlands
| | - Arnaud J P E Vincent
- Department of Neurosurgery, Brain Tumor Center, Erasmus MC University Medical Centre Rotterdam, Rotterdam, Netherlands
| | - Martin J van den Bent
- Department of Neurology, Brain Tumor Center, Erasmus MC Cancer Institute, Rotterdam, Netherlands
| | - Pim J French
- Department of Neurology, Brain Tumor Center, Erasmus MC Cancer Institute, Rotterdam, Netherlands
| | - Stefan Klein
- Biomedical Imaging Group Rotterdam, Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Centre Rotterdam, Rotterdam, Netherlands
| | - Yading Yuan
- Department of Radiation Oncology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Sonam Sharma
- Department of Radiation Oncology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Tzu-Chi Tseng
- Department of Radiation Oncology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Saba Adabi
- Department of Radiation Oncology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Simone P Niclou
- NORLUX Neuro-Oncology Laboratory, Department of Cancer Research, Luxembourg Institute of Health, Luxembourg, Luxembourg
| | - Olivier Keunen
- Translation Radiomics, Department of Cancer Research, Luxembourg Institute of Health, Luxembourg, Luxembourg
| | - Ann-Christin Hau
- NORLUX Neuro-Oncology Laboratory, Department of Cancer Research, Luxembourg Institute of Health, Luxembourg, Luxembourg
- Luxembourg Center of Neuropathology, Laboratoire National De Santé, Luxembourg, Luxembourg
| | - Martin Vallières
- Department of Computer Science, Université de Sherbrooke, Sherbrooke, QC, Canada
- Centre de Recherche du Centre Hospitalière Universitaire de Sherbrooke, Sherbrooke, QC, Canada
| | - David Fortin
- Centre de Recherche du Centre Hospitalière Universitaire de Sherbrooke, Sherbrooke, QC, Canada
- Division of Neurosurgery and Neuro-Oncology, Faculty of Medicine and Health Science, Université de Sherbrooke, Sherbrooke, QC, Canada
| | - Martin Lepage
- Centre de Recherche du Centre Hospitalière Universitaire de Sherbrooke, Sherbrooke, QC, Canada
- Department of Nuclear Medicine and Radiobiology, Sherbrooke Molecular Imaging Centre, Université de Sherbrooke, Sherbrooke, QC, Canada
| | - Bennett Landman
- Electrical and Computer Engineering, Vanderbilt University, Nashville, TN, USA
| | - Karthik Ramadass
- Electrical and Computer Engineering, Vanderbilt University, Nashville, TN, USA
| | - Kaiwen Xu
- Department of Computer Science, Vanderbilt University, Nashville, TN, USA
| | - Silky Chotai
- Department of Neurosurgery, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Lola B Chambless
- Department of Neurosurgery, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Akshitkumar Mistry
- Department of Neurosurgery, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Reid C Thompson
- Department of Neurosurgery, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Yuriy Gusev
- Innovation Center for Biomedical Informatics (ICBI), Georgetown University, Washington, DC, USA
| | - Krithika Bhuvaneshwar
- Innovation Center for Biomedical Informatics (ICBI), Georgetown University, Washington, DC, USA
| | - Anousheh Sayah
- Division of Neuroradiology & Neurointerventional Radiology, Department of Radiology, MedStar Georgetown University Hospital, Washington, DC, USA
| | - Camelia Bencheqroun
- Innovation Center for Biomedical Informatics (ICBI), Georgetown University, Washington, DC, USA
| | - Anas Belouali
- Innovation Center for Biomedical Informatics (ICBI), Georgetown University, Washington, DC, USA
| | - Subha Madhavan
- Innovation Center for Biomedical Informatics (ICBI), Georgetown University, Washington, DC, USA
| | - Thomas C Booth
- School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK
- Department of Neuroradiology, Ruskin Wing, King's College Hospital NHS Foundation Trust, London, UK
| | - Alysha Chelliah
- School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK
| | - Marc Modat
- School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK
| | - Haris Shuaib
- Stoke Mandeville Hospital, Mandeville Road, Aylesbury, UK
- Department of Biomedical and Molecular Sciences, Queen's University, Kingston, ON, Canada
| | - Carmen Dragos
- Stoke Mandeville Hospital, Mandeville Road, Aylesbury, UK
| | | | | | | | | | - Shady Gamal
- University of Cairo School of Medicine, Giza, Egypt
| | | | | | | | - Ji Eun Park
- Department of Radiology, Asan Medical Center, Seoul, South Korea
| | - Jihye Yun
- Department of Radiology, Asan Medical Center, Seoul, South Korea
| | - Ho Sung Kim
- Department of Radiology, Asan Medical Center, Seoul, South Korea
| | - Abhishek Mahajan
- The Clatterbridge Cancer Centre NHS Foundation Trust Pembroke Place, Liverpool, UK
| | - Mark Muzi
- Department of Radiology, University of Washington, Seattle, WA, USA
| | - Sean Benson
- Netherlands Cancer Institute, Amsterdam, Netherlands
| | - Regina G H Beets-Tan
- Department of Radiology, Netherlands Cancer Institute, Amsterdam, Netherlands
- GROW School of Oncology and Developmental Biology, Maastricht, Netherlands
| | - Jonas Teuwen
- Netherlands Cancer Institute, Amsterdam, Netherlands
| | | | | | - William Escobar
- Clínica Imbanaco Grupo Quirón Salud, Cali, Colombia
- Universidad del Valle, Cali, Colombia
| | | | - Jose Bernal
- Universidad del Valle, Cali, Colombia
- The University of Edinburgh, Edinburgh, UK
| | | | - Joseph Choi
- Department of Industrial and Systems Engineering, University of Iowa, Iowa, USA
| | - Stephen Baek
- Department of Industrial and Systems Engineering, Department of Radiation Oncology, University of Iowa, Iowa City, IA, USA
| | - Yusung Kim
- Department of Radiation Oncology, University of Iowa, Iowa City, IA, USA
| | - Heba Ismael
- Department of Radiation Oncology, University of Iowa, Iowa City, IA, USA
| | - Bryan Allen
- Department of Radiation Oncology, University of Iowa, Iowa City, IA, USA
| | - John M Buatti
- Department of Radiation Oncology, University of Iowa, Iowa City, IA, USA
| | | | - Hongwei Li
- Department of Quantitative Biomedicine, University of Zurich, Zurich, Switzerland
| | - Tobias Weiss
- Department of Neurology, Clinical Neuroscience Center, University Hospital Zurich and University of Zurich, Zurich, Switzerland
| | - Michael Weller
- Department of Neurology, Clinical Neuroscience Center, University Hospital Zurich and University of Zurich, Zurich, Switzerland
| | - Andrea Bink
- Department of Neuroradiology, Clinical Neuroscience Center, University Hospital Zurich and University of Zurich, Zurich, Switzerland
| | - Bertrand Pouymayou
- Department of Neuroradiology, Clinical Neuroscience Center, University Hospital Zurich and University of Zurich, Zurich, Switzerland
| | | | - Joel Saltz
- Department of Biomedical Informatics, Stony Brook University, Stony Brook, New York, USA
| | - Prateek Prasanna
- Department of Biomedical Informatics, Stony Brook University, Stony Brook, New York, USA
| | - Sampurna Shrestha
- Department of Biomedical Informatics, Stony Brook University, Stony Brook, New York, USA
| | - Kartik M Mani
- Department of Biomedical Informatics, Stony Brook University, Stony Brook, New York, USA
- Department of Radiation Oncology, Stony Brook University, Stony Brook, NY, USA
| | - David Payne
- Department of Radiology, Stony Brook University, Stony Brook, NY, USA
| | - Tahsin Kurc
- Department of Biomedical Informatics, Stony Brook University, Stony Brook, New York, USA
- Scientific Data Group, Oak Ridge National Laboratory, Oak Ridge, TN, USA
| | - Enrique Pelaez
- Escuela Superior Politecnica del Litoral, Guayaquil, Guayas, Ecuador
| | | | - Francis Loayza
- Escuela Superior Politecnica del Litoral, Guayaquil, Guayas, Ecuador
| | | | | | | | | | - Franco Vera
- Universidad de Concepción, Concepción, Biobío, Chile
| | - Elvis Ríos
- Universidad de Concepción, Concepción, Biobío, Chile
| | - Eduardo López
- Universidad de Concepción, Concepción, Biobío, Chile
| | - Sergio A Velastin
- School of Electronic Engineering and Computer Science, Queen Mary University of London, London, UK
| | - Godwin Ogbole
- Department of Radiology, University College Hospital Ibadan, Oyo, Nigeria
| | - Mayowa Soneye
- Department of Radiology, University College Hospital Ibadan, Oyo, Nigeria
| | - Dotun Oyekunle
- Department of Radiology, University College Hospital Ibadan, Oyo, Nigeria
| | | | - Babatunde Osobu
- Department of Radiology, University College Hospital Ibadan, Oyo, Nigeria
| | - Mustapha Shu'aibu
- Department of Radiology, Muhammad Abdullahi Wase Teaching Hospital, Kano, Nigeria
| | - Adeleye Dorcas
- Department of Radiology, Obafemi Awolowo University Ile-Ife, Ile-Ife, Osun, Nigeria
| | - Farouk Dako
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Center for Global Health, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Amber L Simpson
- Department of Biomedical and Molecular Sciences, Queen's University, Kingston, ON, Canada
- School of Computing, Queen's University, Kingston, ON, Canada
| | - Mohammad Hamghalam
- School of Computing, Queen's University, Kingston, ON, Canada
- Department of Electrical Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran
| | - Jacob J Peoples
- School of Computing, Queen's University, Kingston, ON, Canada
| | - Ricky Hu
- School of Computing, Queen's University, Kingston, ON, Canada
| | - Anh Tran
- School of Computing, Queen's University, Kingston, ON, Canada
| | - Danielle Cutler
- The Faculty of Arts & Sciences, Queen's University, Kingston, ON, Canada
| | - Fabio Y Moraes
- Department of Oncology, Queen's University, Kingston, ON, Canada
| | - Michael A Boss
- Center for Research and Innovation, American College of Radiology, Philadelphia, PA, USA
| | - James Gimpel
- Center for Research and Innovation, American College of Radiology, Philadelphia, PA, USA
| | - Deepak Kattil Veettil
- Center for Research and Innovation, American College of Radiology, Philadelphia, PA, USA
| | - Kendall Schmidt
- Data Science Institute, American College of Radiology, Reston, VA, USA
| | - Brian Bialecki
- Data Science Institute, American College of Radiology, Reston, VA, USA
| | - Sailaja Marella
- Center for Research and Innovation, American College of Radiology, Philadelphia, PA, USA
| | - Cynthia Price
- Center for Research and Innovation, American College of Radiology, Philadelphia, PA, USA
| | - Lisa Cimino
- Center for Research and Innovation, American College of Radiology, Philadelphia, PA, USA
| | - Charles Apgar
- Center for Research and Innovation, American College of Radiology, Philadelphia, PA, USA
| | | | - Bjoern Menze
- Department of Informatics, Technical University of Munich, Munich, Bavaria, Germany
- Department of Quantitative Biomedicine, University of Zurich, Zurich, Switzerland
| | - Jill S Barnholtz-Sloan
- National Cancer Institute, National Institute of Health, Division of Cancer Epidemiology and Genetics, Bethesda, MD, USA
- Center for Biomedical Informatics and Information Technology, National Cancer Institute (NCI), National Institute of Health, Bethesda, MD, USA
| | | | - Spyridon Bakas
- Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, USA.
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
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Mandel J, Jalali A, Patel A, McDonald M, Prather L, Helfer C, Gu X, Ludmir E, Echeverria AJ, Rao G, Dhar S, Amos C. EPID-03. PATHOGENIC GERMLINE MUTATIONS IN GLIOMA PATIENTS. Neuro Oncol 2022. [PMCID: PMC9660338 DOI: 10.1093/neuonc/noac209.413] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Abstract
BACKGROUND
No consensus germline testing guidelines currently exist for glioma patients. Hence such testing is not routinely performed. The prevalence and type of germline pathogenic variants in these brain tumors remains unknown. DESIGN/
METHODS
A retrospective review of patients treated at Baylor College of Medicine with paired tumor/normal sequencing using the Tempus xT tumor/normal matched approach from August 2018- April 2022 was performed. Corresponding clinical data was collected for these patients.
RESULTS
We identified 152 glioma patients of which 15 (9.8%) had pathogenic germline variants. Pathogenic germline variants were seen in 11/84 (13.1%) of Glioblastoma, IDH wildtype, 3/42 (7.1%) of Astrocytoma, IDH mutant and 1/26 (3.8%) of Oligodendroglioma, IDH mutant and 1p/19q co-deleted patients. Pathogenic variants in BRCA2, MUTYH and CHEK2 were seen more commonly (3/15 or 20% each). BRCA1 variants were seen in 2/15 (13%) patients, with variants in NF1, ATM, MSH2, and MSH3 occurring in one patient (7%) each. Second hit somatic variants were seen in 3/15 patients (20%). A second somatic hit was seen in NF1, MUTYH and MSH2 in one patient (7%) each. Referral to genetics was performed in 6/15 (40%) patients with pathogenic germline variants. Median overall survival was 1.6 years for glioblastoma, IDH wildtype patients with a pathogenic germline variant compared to 1.79 years for glioblastoma, IDH wildtype patients without it (p = 0.67).
CONCLUSIONS
Although not routinely performed in glioma patients, pathogenic germline variants occurred in ~10% of our patients. Only 40% of these patients were referred to genetics. These findings suggest a possible overlooked opportunity for determination of hereditary cancer syndromes with impact on surveillance as well as potential broader treatment options. Further research to confirm the occurrence and types of pathogenic germline variants in patients with IDH wildtype compared to IDH mutant tumors is necessary.
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Affiliation(s)
| | - Ali Jalali
- Baylor College of Medicine , Houston , USA
| | - Akash Patel
- Baylor College of Medicine, Department of Neurosurgery , Houston, TX , USA
| | | | | | | | | | | | | | - Ganesh Rao
- Baylor College of Medicine, Department of Neurosurgery , Houston , USA
| | - Shweta Dhar
- Baylor College of Medicine , Houston, TX , USA
| | - Chris Amos
- Baylor College of Medicine , Houston, TX , USA
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5
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Jackson HN, Hadley CC, Khan AB, Gadot R, Bayley JC, Shetty A, Mandel J, Jalali A, Gallagher KK, Sweeney AD, Harmanci AO, Harmanci AS, Klisch T, Gopinath SP, Rao G, Yoshor D, Patel AJ. Racial and Socioeconomic Disparities in Patients With Meningioma: A Retrospective Cohort Study. Neurosurgery 2022; 90:114-123. [PMID: 34982878 PMCID: PMC9514723 DOI: 10.1227/neu.0000000000001751] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2021] [Accepted: 08/24/2021] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND Meningiomas are the most common intracranial neoplasms. Although genomic analysis has helped elucidate differences in survival, there is evidence that racial disparities may influence outcomes. African Americans have a higher incidence of meningiomas and poorer survival outcomes. The etiology of these disparities remains unclear, but may include a combination of pathophysiology and other factors. OBJECTIVE To determine factors that contribute to different clinical outcomes in racial populations. METHODS We retrospectively reviewed 305 patients who underwent resection for meningiomas at a single tertiary care facility. We used descriptive statistics and univariate, multivariable, and Kaplan-Meier analyses to study clinical, radiographical, and histopathological differences. RESULTS Minority patients were more likely to present through the emergency department than an outpatient clinic (P < .0001). They were more likely to present with more advanced clinical symptoms with lower Karnofsky Performance scores, more frequently had peritumoral edema (P = .0031), and experienced longer postoperative stays in the hospital (P = .0053), and African-American patients had higher hospitalization costs (P = .046) and were more likely to be publicly insured. Extent of resection was an independent predictor of recurrence freedom (P = .039). Presentation in clinic setting trended toward an association with recurrence-free survival (P = .055). We observed no significant difference in gross total resection rates, postoperative recurrence, or recurrence-free survival. CONCLUSION Minority patients are more likely to present with severe symptoms, require longer perioperative hospitalization, and generate higher hospitalization costs. This may be due to socioeconomic factors that affect access to health care. Targeting barriers to access, especially to subspecialty care, may facilitate more appropriate and timely diagnosis, thereby improving patient care and outcomes.
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Affiliation(s)
- Hudin N Jackson
- Department of Neurosurgery, Baylor College of Medicine, Houston, Texas, USA
| | - Caroline C Hadley
- Department of Neurosurgery, Baylor College of Medicine, Houston, Texas, USA
| | - A Basit Khan
- Department of Neurosurgery, Baylor College of Medicine, Houston, Texas, USA
| | - Ron Gadot
- Department of Neurosurgery, Baylor College of Medicine, Houston, Texas, USA
| | - James C Bayley
- Department of Neurosurgery, Baylor College of Medicine, Houston, Texas, USA
| | - Arya Shetty
- Department of Neurosurgery, Baylor College of Medicine, Houston, Texas, USA
| | - Jacob Mandel
- Department of Neurology, Baylor College of Medicine, Houston, Texas, USA
| | - Ali Jalali
- Department of Neurosurgery, Baylor College of Medicine, Houston, Texas, USA
| | - K Kelly Gallagher
- Department of Neurosurgery, Baylor College of Medicine, Houston, Texas, USA.,Department of Otolaryngology, Head and Neck Surgery, Baylor College of Medicine, Houston, Texas, USA
| | - Alex D Sweeney
- Department of Otolaryngology, Head and Neck Surgery, Baylor College of Medicine, Houston, Texas, USA
| | - Arif O Harmanci
- Center for Computational Systems Medicine, School of Biomedical Informatics, University of Texas Health Science Center at Houston, Houston, Texas, USA
| | - Akdes S Harmanci
- Department of Neurosurgery, Baylor College of Medicine, Houston, Texas, USA
| | - Tiemo Klisch
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, USA.,Jan and Duncan Neurological Research Institute, Texas Children's Hospital, Houston, Texas, USA
| | - Shankar P Gopinath
- Department of Neurosurgery, Baylor College of Medicine, Houston, Texas, USA
| | - Ganesh Rao
- Department of Neurosurgery, Baylor College of Medicine, Houston, Texas, USA
| | - Daniel Yoshor
- Department of Neurosurgery, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Akash J Patel
- Department of Neurosurgery, Baylor College of Medicine, Houston, Texas, USA.,Department of Otolaryngology, Head and Neck Surgery, Baylor College of Medicine, Houston, Texas, USA.,Jan and Duncan Neurological Research Institute, Texas Children's Hospital, Houston, Texas, USA
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6
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Rogers J, Acquaye A, Ikiddeh-Barnes U, Benson K, Boris L, Akindona F, Frederico S, Jammula V, Kim Y, Timmer M, Aboud O, Avgeropoulos N, Burton E, Cachia D, Camphausen K, Colman H, Dixit K, Drappatz J, Dunbar E, Forsyth P, Komlodi-Pasztor E, Mandel J, Lee EQ, Ranjan S, Lukas R, Salacz M, Smith-Cohn M, Snyder J, Wooley J, Chaudhry H, Theeler B, Tsien C, Smirniotopoulos J, Butman J, Chittiboina P, Heiss J, Zaghloul K, O’Donnell K, Quezado M, Aldape K, Raygada M, Armstrong T, Gilbert M, Penas-Prado M. INNV-27. AN INNOVATIVE VIRTUAL MULTI-INSTITUTIONAL, MULTIDISCIPLINARY NEURO-ONCOLOGY TUMOR BOARD: THE NIH-NOB EXPERIENCE DURING THE COVID-19 PANDEMIC. Neuro Oncol 2021. [PMCID: PMC8598475 DOI: 10.1093/neuonc/noab196.438] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
BACKGROUND The American Academy of Neurology Institute and Society for Neuro-Oncology recommend multidisciplinary tumor board (MTB) meetings as a quality metric in neuro-oncology. With the COVID-19 pandemic resulting in travel restrictions, we expanded our existing MTB by transitioning to a virtual format that maintained our commitment to providing consultation for primary CNS tumor cases. This transition permitted participation by neuro-oncology teams from over 30 Brain Tumor Trials Collaborative (BTTC)/National Cancer Institute-Comprehensive Oncology Network Evaluating Rare CNS Tumors (NCI-CONNECT) centers across the United States. Here, we describe results from opening our MTB remotely to these teams. METHODS We retrospectively reviewed records from remote MTB meetings held between April 2020 and March 2021. To gauge the impact of our MTB on clinical management, we administered a brief survey querying BTTC members. RESULTS Twenty-eight providers presented 41 cases during 24 virtual MTB meetings (range: 1-4 cases per meeting). Two cases (5%) were presented only for educational value. Approximately half (54%) of the cases discussed dealt with diagnosis/management of an NCI-CONNECT rare CNS tumor. During MTB discussions of the 39 cases seeking diagnosis/management recommendations, 32% received clinical trial recommendations, 10% were suggested to enroll in the NCI Neuro-Oncology Branch (NOB) Natural History Study (NCT02851706), 17% received a recommendation to obtain central neuropathology review, and 100% received recommendations for further disease management. Most BTTC survey respondents (83%) found these recommendations impactful in the management/treatment of their presented case or generally useful/informative for their clinical practice. CONCLUSION We describe the feasibility and utility of an innovative virtual multi-institutional MTB. These novel remote meetings allowed for discussion of complex neuro-oncology cases and recommendations from experts, particularly important for those with rare CNS tumors. Our study’s findings during the COVID-19 pandemic of the value of providing remote access to MTBs should apply post-pandemic.
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Affiliation(s)
- James Rogers
- National Cancer Institute, National Institutes of Health, Monroe, NY, USA
| | - Alvina Acquaye
- National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | | | - Kaitlyn Benson
- Surgical Neurology Branch, National Institute of Neurological Disorders and Stroke, Bethesda, MD, USA
| | - Lisa Boris
- National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Funto Akindona
- National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Stephen Frederico
- National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Varna Jammula
- National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Yeonju Kim
- National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Michael Timmer
- National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Orwa Aboud
- UC Davis Comprehensive Cancer Center, Davis, CA, USA
| | | | - Eric Burton
- National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - David Cachia
- Department of Neurosurgery, Medical University of South Carolina, Charleston, SC, USA
| | - Kevin Camphausen
- National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Howard Colman
- University of Utah - Huntsman Cancer Institute, Salt Lake City, UT, USA
| | - Karan Dixit
- Northwestern Medicine Lou and Jean Malnati Brain Tumor Institute, Chicago, IL, USA
| | - Jan Drappatz
- University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Erin Dunbar
- Piedmont Brain Tumor Center, Atlanta, GA, USA
| | | | | | | | | | | | - Rimas Lukas
- Northwestern Medicine Lou and Jean Malnati Brain Tumor Institute, Chicago, IL, USA
| | - Michael Salacz
- Rutgers Cancer Institute of New Jersey, New Brunswick, NJ, USA
| | | | | | - Joseph Wooley
- National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Huma Chaudhry
- National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Brett Theeler
- Walter Reed National Military Medical Center, Bethesda, MD, USA
| | - Christina Tsien
- Sibley Memorial Hospital, Johns Hopkins, Washington, DC, USA
| | | | - John Butman
- Radiology and Imaging Science Program, National Institutes of Health, Bethesda, MD, USA
| | - Prashant Chittiboina
- Surgical Neurology Branch, National Institute of Neurological Disorders and Stroke, Bethesda, MD, USA
| | - John Heiss
- Surgical Neurology Branch, National Institute of Neurological Disorders and Stroke, Bethesda, MD, USA
| | - Kareem Zaghloul
- Surgical Neurology Branch, National Institute of Neurological Disorders and Stroke, Bethesda, MD, USA
| | - Kayla O’Donnell
- National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Martha Quezado
- Laboratory of Pathology, National Institutes of Health, Bethesda, MD, USA
| | - Kenneth Aldape
- Laboratory of Pathology, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Margarita Raygada
- National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD, USA
| | - Terri Armstrong
- National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Mark Gilbert
- National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Marta Penas-Prado
- National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
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7
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Tschernichovsky R, Katz LH, Derazne E, Berliner MBZ, Simchoni M, Levine H, Keinan-Boker L, Benouaich-Amiel A, Kanner AA, Laviv Y, Honig A, Dudnik E, Siegal T, Mandel J, Twig G, Yust-Katz S. Height in adolescence as a risk factor for glioma subtypes: a nationwide retrospective cohort study of 2.2 million subjects. Neuro Oncol 2021; 23:1383-1392. [PMID: 33631004 DOI: 10.1093/neuonc/noab049] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022] Open
Abstract
BACKGROUND Gliomas manifest in a variety of histological phenotypes with varying aggressiveness. The etiology of glioma remains largely unknown. Taller stature in adulthood has been linked with glioma risk. The aim of this study was to discern whether this association can be detected in adolescence. METHODS The cohort included 2 223 168 adolescents between the ages of 16 and 19 years. Anthropometric measurements were collected at baseline. Incident cases of glioma were extracted from the Israel National Cancer Registry over a follow-up period spanning 47 635 745 person-years. Cox proportional hazard models were used to estimate the hazard ratio (HR) for glioma and glioma subtypes according to height, body mass index (BMI), and sex. RESULTS A total of 1195 patients were diagnosed with glioma during the study period. Mean (SD) age at diagnosis was 38.1 (11.7) years. Taller adolescent height (per 10-cm increase) was positively associated with the risk for glioma of any type (HR: 1.15; P = .002). The association was retained in subgroup analyses for low-grade glioma (HR: 1.17; P = .031), high-grade glioma (HR: 1.15; P = .025), oligodendroglioma (HR: 1.31; P = .015), astrocytoma (HR: 1.12; P = .049), and a category of presumed IDH-mutated glioma (HR: 1.17; P = .013). There was a trend toward a positive association between height and glioblastoma, however this had borderline statistical significance (HR: 1.15; P = .07). After stratification of the cohort by sex, height remained a risk factor for men but not for women. CONCLUSIONS The previously established association between taller stature in adulthood and glioma risk can be traced back to adolescence. The magnitude of association differs by glioma subtype.
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Affiliation(s)
- Roi Tschernichovsky
- Neuro-Oncology Unit, Davidoff Cancer Center, Rabin Medical Center, Beilinson Hospital, Petah Tikva, Israel.,Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Lior H Katz
- Department of Gastroenterology and Hepatology, Hadassah Hebrew University Medical Center, Jerusalem, Israel
| | - Estela Derazne
- Neuro-Oncology Unit, Davidoff Cancer Center, Rabin Medical Center, Beilinson Hospital, Petah Tikva, Israel.,Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Matan Ben-Zion Berliner
- Neuro-Oncology Unit, Davidoff Cancer Center, Rabin Medical Center, Beilinson Hospital, Petah Tikva, Israel.,Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Maya Simchoni
- Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel
| | - Hagai Levine
- Braun School of Public Health and Community Medicine, Hadassah University Hospital - Ein Kerem, Jerusalem, Israel
| | - Lital Keinan-Boker
- Israel Center for Disease Control, Israel Ministry of Health, Ramat Gan, Israel.,School of Public Health, University of Haifa, Haifa, Israel
| | - Alexandra Benouaich-Amiel
- Neuro-Oncology Unit, Davidoff Cancer Center, Rabin Medical Center, Beilinson Hospital, Petah Tikva, Israel
| | - Andrew A Kanner
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.,Department of Neurosurgery, Rabin Medical Center, Beilinson Hospital, Petah Tikva, Israel
| | - Yosef Laviv
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.,Department of Neurosurgery, Rabin Medical Center, Beilinson Hospital, Petah Tikva, Israel
| | - Asaf Honig
- Department of Military Medicine, Faculty of Medicine, Hebrew University of Jerusalem and the Israel Defense Forces Medical Corps, Ramat Gan, Israel
| | - Elizabeth Dudnik
- Neuro-Oncology Unit, Davidoff Cancer Center, Rabin Medical Center, Beilinson Hospital, Petah Tikva, Israel.,Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Tali Siegal
- Neuro-Oncology Unit, Davidoff Cancer Center, Rabin Medical Center, Beilinson Hospital, Petah Tikva, Israel
| | - Jacob Mandel
- Department of Military Medicine, Faculty of Medicine, Hebrew University of Jerusalem and the Israel Defense Forces Medical Corps, Ramat Gan, Israel
| | - Gilad Twig
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.,Institute of Endocrinology, Sheba Medical Center, Tel HaShomer, Israel
| | - Shlomit Yust-Katz
- Neuro-Oncology Unit, Davidoff Cancer Center, Rabin Medical Center, Beilinson Hospital, Petah Tikva, Israel.,Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
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8
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de Groot J, Penas-Prado M, Alfaro-Munoz K, Hunter K, Pei BL, O'Brien B, Weathers SP, Loghin M, Kamiya Matsouka C, Yung WKA, Mandel J, Wu J, Yuan Y, Zhou S, Fuller GN, Huse J, Rao G, Weinberg JS, Prabhu SS, McCutcheon IE, Lang FF, Ferguson SD, Sawaya R, Colen R, Yadav SS, Blando J, Vence L, Allison J, Sharma P, Heimberger AB. Window-of-opportunity clinical trial of pembrolizumab in patients with recurrent glioblastoma reveals predominance of immune-suppressive macrophages. Neuro Oncol 2021; 22:539-549. [PMID: 31755915 DOI: 10.1093/neuonc/noz185] [Citation(s) in RCA: 57] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND We sought to ascertain the immune effector function of pembrolizumab within the glioblastoma (GBM) microenvironment during the therapeutic window. METHODS In an open-label, single-center, single-arm phase II "window-of-opportunity" trial in 15 patients with recurrent (operable) GBM receiving up to 2 pembrolizumab doses before surgery and every 3 weeks afterward until disease progression or unacceptable toxicities occurred, immune responses were evaluated within the tumor. RESULTS No treatment-related deaths occurred. Overall median follow-up time was 50 months. Of 14 patients monitored, 10 had progressive disease, 3 had a partial response, and 1 had stable disease. Median progression-free survival (PFS) was 4.5 months (95% CI: 2.27, 6.83), and the 6-month PFS rate was 40%. Median overall survival (OS) was 20 months, with an estimated 1-year OS rate of 63%. GBM patients' recurrent tumors contained few T cells that demonstrated a paucity of immune activation markers, but the tumor microenvironment was markedly enriched for CD68+ macrophages. CONCLUSIONS Immune analyses indicated that pembrolizumab anti-programmed cell death 1 (PD-1) monotherapy alone can't induce effector immunologic response in most GBM patients, probably owing to a scarcity of T cells within the tumor microenvironment and a CD68+ macrophage preponderance.
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Affiliation(s)
- John de Groot
- Departments of Neuro-Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Marta Penas-Prado
- Departments of Neuro-Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Kristin Alfaro-Munoz
- Departments of Neuro-Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Kathy Hunter
- Departments of Neuro-Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Be Lian Pei
- Departments of Neuro-Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Barbara O'Brien
- Departments of Neuro-Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Shiao-Pei Weathers
- Departments of Neuro-Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Monica Loghin
- Departments of Neuro-Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Carlos Kamiya Matsouka
- Departments of Neuro-Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - W K Alfred Yung
- Departments of Neuro-Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Jacob Mandel
- Department of Neurology, Baylor College of Medicine, Houston, Texas
| | - Jimin Wu
- Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Ying Yuan
- Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Shouhao Zhou
- Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Gregory N Fuller
- Neuropathology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Jason Huse
- Neuropathology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Ganesh Rao
- Neurosurgery, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Jeffrey S Weinberg
- Neurosurgery, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Sujit S Prabhu
- Neurosurgery, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Ian E McCutcheon
- Neurosurgery, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Frederick F Lang
- Neurosurgery, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Sherise D Ferguson
- Neurosurgery, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Raymond Sawaya
- Neurosurgery, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Rivka Colen
- Cancer Systems Imaging, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Shalini S Yadav
- Immunology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Jorge Blando
- Immunology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Luis Vence
- Immunology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - James Allison
- Immunology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Padmanee Sharma
- Immunology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Amy B Heimberger
- Neurosurgery, The University of Texas MD Anderson Cancer Center, Houston, Texas
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9
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Alkabie S, Castrodad-Molina R, Heck KA, Mandel J, Hutton GJ. The concurrence of multiple sclerosis and glioblastoma. Mult Scler Relat Disord 2021; 50:102877. [PMID: 33711579 DOI: 10.1016/j.msard.2021.102877] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2020] [Revised: 02/17/2021] [Accepted: 02/28/2021] [Indexed: 10/22/2022]
Abstract
INTRODUCTION Glioblastoma rarely coincides with multiple sclerosis. Although registries have reported a higher proportion of brain tumors-most of which are glial-these events appear to be underreported. The relative contribution of JC virus (an oncogenic virus) and disease modifying therapies that may facilitate JC virus neurotropism and tumor-specific immune evasion remain unknown. CASE REPORT We present the case of a 64-year-old woman who developed a primary glioblastoma eight years after diagnosis of multiple sclerosis while on dimethyl fumarate. CONCLUSION Systematic reporting may help answer whether JC virus seropositivity and certain disease modifying therapies confer higher risk for glioblastoma in patients with multiple sclerosis.
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Affiliation(s)
- Samir Alkabie
- Maxine Mesinger Multiple Sclerosis Comprehensive Care Center, Department of Neurology, Baylor College of Medicine, Houston, TX, USA.
| | - Rhaisa Castrodad-Molina
- Maxine Mesinger Multiple Sclerosis Comprehensive Care Center, Department of Neurology, Baylor College of Medicine, Houston, TX, USA
| | - Kent A Heck
- Department of Pathology, Baylor College of Medicine, Houston, TX, USA
| | - Jacob Mandel
- Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX, USA
| | - George J Hutton
- Maxine Mesinger Multiple Sclerosis Comprehensive Care Center, Department of Neurology, Baylor College of Medicine, Houston, TX, USA
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10
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Gopakumar S, Srinivasan VM, Hadley CC, Anand A, Daou M, Karas PJ, Mandel J, Gopinath SP, Patel AJ. Intracranial Solitary Fibrous Tumor of the Skull Base: 2 Cases and Systematic Review of the Literature. World Neurosurg 2021; 149:e345-e359. [PMID: 33609763 DOI: 10.1016/j.wneu.2021.02.026] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2020] [Revised: 02/03/2021] [Accepted: 02/04/2021] [Indexed: 11/15/2022]
Abstract
BACKGROUND Intracranial solitary fibrous tumors (ISFTs) are rare neoplasms of mesenchymal origin that originate from the meninges. ISFTs of the skull base can be challenging to treat, as resection can be complicated by skull base anatomy. We present 2 cases of ISFT, the first manifesting with compressive cranial neuropathy from Meckel cave involvement and the second a posterior fossa lesion causing symptomatic hydrocephalus. METHODS A systematic review was performed according to Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. The PubMed database was queried with title/abstract keywords "intracranial," "solitary fibrous tumor," "hemangiopericytoma," "SFT," and "HPC." Search results were reviewed to exclude cases not involving the skull base. References from all selected articles were reviewed for potential additional cases. Patient demographic and clinical data from 58 identified skull base cases were collected for qualitative synthesis. RESULTS Visual disturbances were the most common presenting symptom (30 cases, 52%) followed by headache (22 cases, 38%). The most common site of involvement was the sellar/parasellar region (18 cases, 31%) followed by middle fossa/temporal bone (14 cases, 24%). Resection was performed in 55 cases; gross total resection was reported in 26 cases (45%) and subtotal resection was reported in 21 cases (36%). Tumor recurrence was documented in 15 cases (26%) with median and mean follow-up periods of 16 and 29.9 months, respectively. CONCLUSIONS We discuss presentation, imaging, histopathology, and management considerations for ISFTs while highlighting the potentially complex nature of skull base lesions and need for multidisciplinary approach to treatment.
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Affiliation(s)
| | | | - Caroline C Hadley
- Department of Neurosurgery, Baylor College of Medicine, Houston, Texas, USA
| | - Adrish Anand
- Department of Neurosurgery, Baylor College of Medicine, Houston, Texas, USA
| | - Marc Daou
- Department of Neurosurgery, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Patrick J Karas
- Department of Neurosurgery, Baylor College of Medicine, Houston, Texas, USA
| | - Jacob Mandel
- Department of Neurology, Baylor College of Medicine, Houston, Texas, USA
| | - Shankar P Gopinath
- Department of Neurosurgery, Baylor College of Medicine, Houston, Texas, USA
| | - Akash J Patel
- Department of Neurosurgery, Baylor College of Medicine, Houston, Texas, USA; Department of Otolaryngology-Head and Neck Surgery, Baylor College of Medicine, Houston, Texas, USA; Jan and Dan Duncan Neurological Research Institute, Texas Children's Hospital, Houston, Texas, USA.
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11
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Benouaich-Amiel A, Khasminsky V, Gal O, Weiss T, Fichman S, Kanner AA, Berkowitz S, Laviv Y, Mandel J, Dudnik E, Siegal T, Yust-Katz S. Multicentric non-enhancing lesions in glioblastoma: A retrospective study. J Clin Neurosci 2021; 85:20-26. [PMID: 33581785 DOI: 10.1016/j.jocn.2020.11.050] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2020] [Revised: 11/08/2020] [Accepted: 11/30/2020] [Indexed: 12/01/2022]
Abstract
Glioblastoma (GBM) typically presents as a single lesion. Multicentric GBM are defined as well separated lesions on MRI (enhancing and non-enhancing). Multicentric GBM with non-enhancing lesions (MNE-GBM) are rarely described in literature. We aimed at describing the radiologic characteristics, treatment, and clinical course of those patients. The institutional neuropathological database was searched for GBM patients diagnosed between 1/1/2015 and 31/05/2018. All pre-operative MRI brain scans were reviewed to identify patients with MNE-GBM. Electronic medical records and follow-up MRI scans were reviewed to assess progression-free survival (PFS) and overall survival (OS). Out of 149 adult patients with newly diagnosed GBM, 12 met the inclusion criteria of MNE-GBM, all of them presented at least one enhancing lesion. Median follow-up for the MNE-GBM patients was 16.1 months. At last follow-up, all patients had recurrence (median PFS 7.6 months) and eleven patients had deceased. Median OS was 16.2 months (95% CI, 4.1-27.5). Eleven patients received radiotherapy concomitant with temozolomide as initial treatment. Radiation field included all the disease foci (enhancing and non-enhancing lesions) in 8 patients, five of them progressed within the non-enhancing lesion. Three patients did not receive radiation for the entire non-enhancing lesions, and two of them progressed within the non-irradiated areas. In conclusion, MNE-GBM is not rare, and has high risk of aggressive progression within the separate non-enhancing lesion.
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Affiliation(s)
| | - Vadim Khasminsky
- Department of Radiology, Rabin Medical Center, Petah Tikva, Israel
| | - Omer Gal
- Department of Radiation Oncology, Davidoff Center, Rabin Medical Center, Petah Tikva, Israel
| | - Tamara Weiss
- Department of Radiation Oncology, Davidoff Center, Rabin Medical Center, Petah Tikva, Israel
| | - Susana Fichman
- Neuro Pathology Unit, Department of Pathology, Rabin Medical Center, Petah Tikva, Israel
| | - Andrew A Kanner
- Department of Neurosurgery, Rabin Medical Center, Petah Tikva Israel; Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Shani Berkowitz
- Department of Neurosurgery, Rabin Medical Center, Petah Tikva Israel
| | - Yosef Laviv
- Department of Neurosurgery, Rabin Medical Center, Petah Tikva Israel; Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Jacob Mandel
- Neurology Department, Baylor College of Medicine, Houston, United States
| | - Elizabeth Dudnik
- Department of Oncology Davidoff Center, Rabin Medical Center, Petah Tikva, Israel
| | - Tali Siegal
- Neuro-oncology Unit, Davidoff Center, Rabin Medical Center, Petah Tikva, Israel
| | - Shlomit Yust-Katz
- Neuro-oncology Unit, Davidoff Center, Rabin Medical Center, Petah Tikva, Israel; Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
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12
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Benouaich-Amiel A, Gal O, Dudnik E, Rotem O, Finket I, Peretz I, Zer A, Mandel J, Siegal T, Bar J, Yust-Katz S. BIOM-01. TYROSINE KINASE INHIBITORS AS A TREATMENT OF SYMPTOMATIC CNS METASTASES IN ONCOGENE-DRIVEN NSCLC. Neuro Oncol 2020. [DOI: 10.1093/neuonc/noaa215.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
BACKGROUND
Central nervous system (CNS) metastases occur frequently in oncogene-driven non-small cell lung cancer (NSCLC). Standard treatment (i.e surgery, whole brain radiation therapy or stereotactic radiosurgery) approaches can potentially delay systemic treatment and/or result in neurocognitive impairment. Recently, next generation tyrosine kinase inhibitors (TKIs) have demonstrated a remarkable intracranial activity. However, most clinical trials did not enroll patients with neurological symptoms. Our study aims to assess the CNS activity of targeted therapy in this patient population.
METHOD
We present a case series of nine NSCLC patients with either EGFR mutation of ALK rearrangement and symptomatic CNS metastases that were treated with TKIs, without radiation therapy or surgery. Clinicopathological characteristics, treatment and outcome were analyzed.
RESULTS
Most patients presented with symptomatic CNS metastases at time of metastatic disease presentation (6/9 patients). Additionally, the majority of patients had leptomingeal disease (6/9 patients) and multiple parenchymal metastases. Patients presented with a variety of CNS symptoms with the most common being nausea, vomiting, headache and confusion. Five patients were treated with Osimertinib. One patient with ALK rearrangement was treated with Lorlatinib. The remaining 3 patients received either Gefitinib or Afatinib. Most patients (6/9 patients) responded rapidly both clinically and radiographically to the targeted treatment, with a marked correlation between systemic and intracranial radiographic response.
CONCLUSION
Upfront use of next generation TKIs in patients with oncogene-driver NSCLC with symptomatic CNS metastases is associated with reasonable intracranial activity and represents a valuable treatment option.
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Affiliation(s)
| | - Omer Gal
- Rabin Medical Center, Petach Tikva, Israel
| | | | - Ofer Rotem
- Rabin Medical Center, Petach Tikva, Israel
| | | | | | - Alona Zer
- Rabin Medical Center, Petach Tikva, Israel
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13
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Mandel J, Youssef M, Yust-Katz S, Patel A, Jalali A, Ludmir E, Wu J, de Groot J. NCMP-10. IDH MUTATION STATUS AND THE DEVELOPMENT OF VENOUS THROMBOEMBOLISM IN ASTROCYTOMA PATIENTS. Neuro Oncol 2020. [DOI: 10.1093/neuonc/noaa215.522] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
OBJECTIVE
Examine whether the status of the isocitrate dehydrogenase (IDH) gene is a risk factor for the development of venous thromboembolism (VTE) in astrocytoma patients.
BACKGROUND
The risk of venous thromboembolism (VTE) is high for patients with gliomas (10–30%). Unfortunately, biomarkers and predictive models for development of a VTE in brain cancer have not been validated. Prior research has suggested that IDH wildtype gliomas are at higher risk for development of VTE compared to IDH mutant tumors.
DESIGN/METHODS
We conducted a retrospective chart review of glioma patients enrolled in the PROACTIVE (Prospective Assessment of Correlative Biomarker) study at MD Anderson Cancer Center (MDACC). We obtained demographics, date of tumor diagnosis, initial pathology, IDH status (mutated or wildtype), extent of initial resection, KPS at time of initial resection, history of VTE, development of VTE, type of VTE (PE/DVT), KPS at time of VTE, treatment for VTE, bleeding complications, glioma treatments, date of last follow up and/or death.
RESULTS
We identified 282 astrocytoma patients consisting of 49 IDH mutant and 233 IDH wildtype astrocytomas. Glioblastoma was the histopathologic diagnosis in 30 (61.2%) of the IDH mutated astrocytomas compared to 227(97.4%) of the IDH wild type astrocytomas. VTE was identified in 52 (18.4%) of patients. VTE was diagnosed in 7 (14.3%) of the IDH mutated astrocytomas compared to 45 (19.3%) of the IDH wild type astrocytomas (p = 0.4094). Median time to VTE from diagnosis was 2.71 months. Median time to VTE from diagnosis was 2.6 months for IDH mutated astrocytomas compared to 3.06 months for the IDH wild type astrocytomas (p =0.8663).
CONCLUSIONS
IDH gene status did not appear as a significant risk factor for the development of venous thromboembolism (VTE) in our cohort of astrocytoma patients. Further research into potential biomarkers for VTE may be warranted.
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Affiliation(s)
| | | | | | - Akash Patel
- Baylor College of Medicine, Houston, TX, USA
| | - Ali Jalali
- Baylor College of Medicine, Houston, TX, USA
| | - Ethan Ludmir
- University of Texas MD Anderson, Houston, TX, USA
| | - Jimin Wu
- University of Texas MD Anderson, Houston, TX, USA
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14
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Abstract
Paraneoplastic syndromes can commonly occur due to lung cancer, especially small cell lung cancer. Frequently paraneoplastic syndromes can precede the diagnosis of the neoplasm or present with limited stage disease. However, these syndromes can also occur at the time of recurrence or metastasis of disease. This review focuses on the epidemiology, pathogenesis, clinical features, and current management of the most common paraneoplastic syndromes encountered in patients with small cell lung cancer. Manifestations of paraneoplastic syndromes in small cell lung cancer include endocrine syndromes with secretion of excess hormones, and neurologic syndromes due to the production of antibodies causing an autoimmune condition. Recent advances have allowed for greater understanding of these syndromes and for the development of improved diagnostic as well as therapeutic tools. Awareness of paraneoplastic syndromes in small cell lung cancer can lead to an earlier diagnosis and recognition of both the condition and in some cases the disease potentially improving the overall survival and prognosis for patients. Further research examining effective methods to improve recovery from neurologic deficits in patients with a paraneoplastic neurologic illness is warranted.
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Affiliation(s)
- Zaid Soomro
- University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Michael Youssef
- University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | | | - Ali Jalali
- Department of Neurosurgery, Baylor College of Medicine, Houston, TX, USA
| | - Akash J Patel
- Department of Neurosurgery, Baylor College of Medicine, Houston, TX, USA
| | - Jacob Mandel
- Department of Neurology, Baylor College of Medicine, Houston, TX, USA
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15
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Gal O, Dudnik E, Rotem O, Finkel I, Peretz I, Zer A, Mandel J, Amiel A, Siegal T, Bar J, Lobachov A, Yust S. Tyrosine Kinase Inhibitors as a Treatment of Symptomatic CNS Metastases in Oncogene-Driven NSCLC. J Oncol 2020; 2020:1980891. [PMID: 32963526 PMCID: PMC7486631 DOI: 10.1155/2020/1980891] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/16/2020] [Revised: 08/12/2020] [Accepted: 08/25/2020] [Indexed: 12/25/2022]
Abstract
Central nervous system (CNS) metastases occur frequently in oncogene-driven non-small cell lung cancer (NSCLC). Standard treatment approaches can potentially delay systemic treatment (surgical intervention) or result in neurocognitive impairment (radiotherapy). Recently, next-generation tyrosine kinase inhibitors (TKIs) have demonstrated remarkable intracranial activity. However, most clinical trials did not enroll patients suffering neurological symptoms. Our study aimed to assess the CNS activity of targeted therapies in this patient population. We present a case series of nine NSCLC patients with either EGFR mutation or ALK rearrangement and symptomatic CNS metastases that were treated with TKIs. Clinicopathological characteristics, treatment, and outcomes were analyzed. Most patients presented with symptomatic CNS metastases at time of metastatic disease presentation (6/9). Additionally, the majority of patients had leptomeningeal disease (6/9) and multiple parenchymal metastases. Patients presented with a variety of CNS symptoms with the most common being nausea, vomiting, headache, and confusion. Most patients (6/9) responded rapidly both clinically and radiographically to the targeted treatment, with a marked correlation between systemic and intracranial radiographic response. In conclusion, upfront use of next-generation TKIs in patients with oncogene-driven NSCLC with symptomatic CNS metastases is associated with reasonable intracranial activity and represents a valuable treatment option.
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Affiliation(s)
- Omer Gal
- Neuro-Oncology Unit, Davidoff Cancer Center, Rabin Medical Center, Beilinson Campus, Petah Tikva 49100, Israel
- Sackler Faculty of Medicine, Tel Aviv University, Tel-Aviv 69978, Israel
| | - Elizabeth Dudnik
- Sackler Faculty of Medicine, Tel Aviv University, Tel-Aviv 69978, Israel
- Thoracic Cancer Service, Davidoff Cancer Center, Rabin Medical Center, Beilinson Campus, Petah Tikva 49100, Israel
| | - Ofer Rotem
- Sackler Faculty of Medicine, Tel Aviv University, Tel-Aviv 69978, Israel
- Thoracic Cancer Service, Davidoff Cancer Center, Rabin Medical Center, Beilinson Campus, Petah Tikva 49100, Israel
| | - Inbar Finkel
- Sackler Faculty of Medicine, Tel Aviv University, Tel-Aviv 69978, Israel
- Thoracic Cancer Service, Davidoff Cancer Center, Rabin Medical Center, Beilinson Campus, Petah Tikva 49100, Israel
| | - Idit Peretz
- Sackler Faculty of Medicine, Tel Aviv University, Tel-Aviv 69978, Israel
- Thoracic Cancer Service, Davidoff Cancer Center, Rabin Medical Center, Beilinson Campus, Petah Tikva 49100, Israel
| | - Alona Zer
- Sackler Faculty of Medicine, Tel Aviv University, Tel-Aviv 69978, Israel
- Thoracic Cancer Service, Davidoff Cancer Center, Rabin Medical Center, Beilinson Campus, Petah Tikva 49100, Israel
| | - Jacob Mandel
- Baylor College of Medicine, 7200 Cambridge Suite 9a, Houston, Texas 77030, USA
| | - Alexandra Amiel
- Neuro-Oncology Unit, Davidoff Cancer Center, Rabin Medical Center, Beilinson Campus, Petah Tikva 49100, Israel
- Sackler Faculty of Medicine, Tel Aviv University, Tel-Aviv 69978, Israel
| | - Tali Siegal
- Neuro-Oncology Unit, Davidoff Cancer Center, Rabin Medical Center, Beilinson Campus, Petah Tikva 49100, Israel
| | - Jair Bar
- Sackler Faculty of Medicine, Tel Aviv University, Tel-Aviv 69978, Israel
- Thoracic Oncology, Institute of Oncology, Sheba Medical Center, Tel HaShomer, Ramat Gan 5262000, Israel
| | - Anastasiya Lobachov
- Sackler Faculty of Medicine, Tel Aviv University, Tel-Aviv 69978, Israel
- Thoracic Oncology, Institute of Oncology, Sheba Medical Center, Tel HaShomer, Ramat Gan 5262000, Israel
| | - Shlomit Yust
- Neuro-Oncology Unit, Davidoff Cancer Center, Rabin Medical Center, Beilinson Campus, Petah Tikva 49100, Israel
- Sackler Faculty of Medicine, Tel Aviv University, Tel-Aviv 69978, Israel
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16
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Ben-Zion Berliner M, Katz LH, Derazne E, Levine H, Keinan-Boker L, Benouaich-Amiel A, Gal O, Kanner AA, Laviv Y, Honig A, Siegal T, Mandel J, Twig G, Yust-Katz S. Height as a risk factor in meningioma: a study of 2 million Israeli adolescents. BMC Cancer 2020; 20:786. [PMID: 32819306 PMCID: PMC7441683 DOI: 10.1186/s12885-020-07292-4] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2020] [Accepted: 08/11/2020] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND Meningiomas are the most common primary central nervous system tumors. Potential risk factors include obesity, height, history of allergy/atopy, and autoimmune diseases, but findings are conflicting. This study sought to assess the role of the different risk factors in the development of meningioma in adolescents/young adults. METHODS The cohort included 2,035,915 Jewish men and women who had undergone compulsory physical examination between 1967 and 2011, at age 16 to 19 years, prior to and independent of actual military enlistment. To determine the incidence of meningioma, the military database was matched with the Israel National Cancer Registry. Cox proportional hazard models were used to estimate the hazard ratios for meningioma according to sex, body mass index (BMI), height, and history of allergic or autoimmune disease. RESULTS A total of 480 subjects (328 females) were diagnosed with meningioma during a follow-up of 40,304,078 person-years. Median age at diagnosis was 42.1 ± 9.4 years (range 17.4-62.6). On univariate analysis, female sex (p < 0.01) and height (p < 0.01) were associated with risk of meningioma. When the data were stratified by sex, height remained a significant factor only in men. Spline analysis of the male subjects showed that a height of 1.62 m was associated with a minimum disease risk and a height of 1.85+ meters, with a significant risk. CONCLUSIONS This large population study showed that sex and adolescent height in males (> 1.85 m) were associated with an increased risk of meningioma in adulthood.
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Affiliation(s)
- Matan Ben-Zion Berliner
- Neuro-Oncology Unit, Davidoff Cancer Center, Rabin Medical Center - Beilinson Hospital, Petach Tikva, Israel.
| | - Lior Haim Katz
- Department of Gastroenterology, Hadassah University Hospital - Ein Kerem, Jerusalem, Israel
| | - Estela Derazne
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Hagai Levine
- Braun School of Public Health and Community Medicine, Hadassah University Hospital - Ein Kerem, Jerusalem, Israel
| | - Lital Keinan-Boker
- Israel Center for Disease Control, Israel Ministry of Health, Ramat Gan, Israel.,School of Public Health, University of Haifa, Haifa, Israel
| | - Alexandra Benouaich-Amiel
- Neuro-Oncology Unit, Davidoff Cancer Center, Rabin Medical Center - Beilinson Hospital, Petach Tikva, Israel
| | - Omer Gal
- Neuro-Oncology Unit, Davidoff Cancer Center, Rabin Medical Center - Beilinson Hospital, Petach Tikva, Israel.,Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Andrew A Kanner
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.,Department of Neurosurgery, Rabin Medical Center - Beilinson Hospital, Petach Tikva, Israel
| | - Yosef Laviv
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.,Department of Neurosurgery, Rabin Medical Center - Beilinson Hospital, Petach Tikva, Israel
| | - Asaf Honig
- Medical Corps, Israel Defense Forces,and Department of Military Medicine, Hebrew University of Jerusalem, Faculty of Medicine, Jerusalem, Israel
| | - Tali Siegal
- Neuro-Oncology Unit, Davidoff Cancer Center, Rabin Medical Center - Beilinson Hospital, Petach Tikva, Israel
| | - Jacob Mandel
- Medical Corps, Israel Defense Forces,and Department of Military Medicine, Hebrew University of Jerusalem, Faculty of Medicine, Jerusalem, Israel
| | - Gilad Twig
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.,Medical Corps, Israel Defense Forces,and Department of Military Medicine, Hebrew University of Jerusalem, Faculty of Medicine, Jerusalem, Israel.,Institute of Endocrinology and Talpiot Medical Leadership Program,Sheba Medical Center, Tel Hashomer, Israel
| | - Shlomit Yust-Katz
- Neuro-Oncology Unit, Davidoff Cancer Center, Rabin Medical Center - Beilinson Hospital, Petach Tikva, Israel.,Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
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17
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Gopakumar S, Daou M, Gadot R, Ropper AE, Mandel J. Spinal meningioma in a patient with multiple sclerosis. Surg Neurol Int 2020; 11:196. [PMID: 32754367 PMCID: PMC7395551 DOI: 10.25259/sni_221_2020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2020] [Accepted: 05/22/2020] [Indexed: 11/16/2022] Open
Abstract
Background: Multiple sclerosis (MS) is the most common immune-mediated inflammatory demyelinating disease of the central nervous system. Multiple brain and spinal tumors have been linked to MS, but a causal relationship between the two has not been determined. Here, we report a case of spinal meningioma in a patient with MS and review literature discussing the possible connection between these two disease entities. Case Description: A 58-year-old female with MS presented with a 1-year history of progressively worsening back pain in conjunction with worsening right upper and lower extremity weakness. The patient was diagnosed with MS 19 months prior and had multiple known demyelinating plaques in her cervical spine. New MRI revealed an intradural extramedullary thoracic tumor with characteristics consistent with meningioma. She underwent T6- T8 laminectomies for tumor resection and pathology confirmed the radiological diagnosis. At 3-month follow- up, the patient reported complete resolution of her back pain and persistence of weakness-related gait issues. Conclusion: CNS neoplasms including meningioma should be considered in MS patients presenting with newly onset neurological symptoms not entirely consistent with demyelinating disease. Both disease processes should be addressed with appropriate long-term follow-up.
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Affiliation(s)
| | - Marc Daou
- Department of Neurosurgery, University of Texas, MD Anderson Cancer Center
| | - Ron Gadot
- Department of Neurosurgery, Baylor College of Medicine
| | | | - Jacob Mandel
- Department of Neurology, Baylor College of Medicine, Houston, Texas, United States
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18
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Affiliation(s)
- Gabriel Torrealba-Acosta
- Department of Neurology, Baylor College of Medicine, Houston, Texas, USA .,Centro de Investigacion en Neurociencias, Universidad de Costa Rica, San Jose, Costa Rica
| | - Jacob Mandel
- Department of Neurology-Oncology, Baylor College of Medicine, Houston, Texas, USA
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19
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Nam JY, Gilbert A, Cachia D, Mandel J, Fuller GN, Penas-Prado M, de Groot J, Kamiya-Matsuoka C. Pineal parenchymal tumor of intermediate differentiation: a single-institution experience. Neurooncol Pract 2020; 7:613-619. [PMID: 33312675 DOI: 10.1093/nop/npaa024] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022] Open
Abstract
Background Pineal parenchymal tumors are exceedingly rare brain tumors responsible for less than 1% of all adult primary intracranial malignancies in the United States. In this study, we describe the clinicopathologic features, management, and outcomes of patients with pineal parenchymal tumor of intermediate differentiation (PPTID). Methods We describe a single-center, multidisciplinary team experience in managing PPTID patients over a 15-year period (January 2000 to January 2015) at The University of Texas MD Anderson Cancer Center (MDACC). Pathology was reviewed by the pathology collaborators (A.G. and G.N.F.) and retrospective chart review was performed for treatment and clinical outcomes. Results We identified 17 patients (9 male) with diagnosis of PPTID. Median age at diagnosis of PPTID was 37 years (range, 15-57 years). Follow-up ranged from 0.1 to 162.8 months with 6 reported deaths. Most patients presented with headaches and diplopia. Three patients had neuroaxial dissemination at initial diagnosis, and recurrence of tumor was common (7/16) despite treatment. Conclusions No clear prognostic factors were identified in this series. Extension of resection showed a trend toward improved survival. PPTID with neuroaxial dissemination benefits from aggressive initial treatment including craniospinal irradiation and adjuvant chemotherapy, whereas localized disease may be treated traditionally with maximum debulking followed by adjuvant radiotherapy alone. Long-term monitoring is recommended for neurotoxicity and/or late recurrence.
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Affiliation(s)
- Joo Yeon Nam
- Department of Neuro-Oncology, Rush University Medical Center, Chicago, Illinois
| | - Andrea Gilbert
- Department of Pathology, Houston Methodist Hospital, Houston, Texas
| | - David Cachia
- Department of Neurosurgery, Medical University of South Carolina, Charleston, South Carolina
| | - Jacob Mandel
- Department of Neurology, Baylor College of Medicine, Houston, Texas
| | - Gregory N Fuller
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Marta Penas-Prado
- Department of Neuro-Oncology, National Cancer Institute/National Institutes of Health, Bethesda, Maryland
| | - John de Groot
- Department of Neuro-Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Carlos Kamiya-Matsuoka
- Department of Neuro-Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
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20
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Cohen A, Hertz HS, Mandel J, Paule RC, Schaffer R, Sniegoski LT, Sun T, Welch MJ, White E. Total serum cholesterol by isotope dilution/mass spectrometry: a candidate definitive method. Clin Chem 2019. [DOI: 10.1093/clinchem/26.7.0854] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
Abstract
We describe a highly accurate and precise method for determination of total cholesterol in serum by isotope dilution/mass spectrometry. The method was developed for a Study Group of the Committee on Standards of the American Association for Clinical Chemistry, for use in establishing the accuracy of a candidate reference method for total cholesterol, and fulfills their criteria for a definitive method. Cholesterol-d7 is added to serum, with the weight ratio of cholesterol-d7 to total serum cholesterol kept near to 1:1. The esters are hydrolyzed and the cholesterol is separated and converted into the trimethylsilyl ether derivative for measurement by combined gas chromatography/mass spectrometry. The intensity ratio of the molecular ions at m/z 465 and 458 is measured for each sample and for two calibration mixtures, according to a prescribed bracketing protocol. A weight ratio for the sample is obtained by linear interpolation of the ion-intensity ratios, and the total cholesterol is then calculated. The method was applied four times over several weeks to each of five serum pools. Statistical analysis involving consideration of both replication error and variability between weeks gave a coefficient of variation for a single measurement of 0.36%. The absence of interferences in the method was demonstrated by measurements at several other masses.
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21
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Yust-Katz S, Donthireddy V, Mandel J, Abunafeesa H, Patil N, Yadav D, Jabbour-Aida H, Wu J, Yuan Y, Tsavachidis S, Walbert T, Bondy M, Armstrong T. QOLP-30. CLINICAL PREDICTIVE MODEL FOR THE DEVELOPMENT OF VENOUS THROMBOEMBOLISM IN GLIOBLASTOMA. Neuro Oncol 2019. [DOI: 10.1093/neuonc/noz175.850] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
INTRODUCTION
The risk of venous thromboembolism (VTE) remains high for patients with glioblastoma (GBM) throughout the disease trajectory. Our previous work demonstrated the Khorana scale lacks specificity in this population. We therefore constructed, and attempted to validate a predictive model specific for the development of VTE during adjuvant chemotherapy in glioblastoma patients.
METHODS
A prior study of GBM patients treated at MD Anderson (MDACC) during the years 2005–2011 found from a multivariate analysis that male sex, BMI ≥ 35, KPS ≤ 80, and steroid therapy were significantly associated with the development of VTE. A predictive model from the MDACC cohort was created using these risk factors, and we attempted to validate the model in an independent cohort of GBM patients treated at Henry Ford from 2010–2015.
RESULTS
To develop the model 315 patients from the MDACC cohort were randomly divided into two parts: training (75% of data) used for model building, and validation (25% of data) used for model validation. Using the predictive model, the MDACC validation cohort found 80% sensitivity and 80% specificity. We then validated the model in the Henry Ford cohort of 190 GBM patients of which 50 developed a VTE. In the external validation set, the predictive model was found to have a sensitivity = 78% and specificity = 49.3% (Fisher test p-value = 0.0008).
CONCLUSIONS
Our predictive model for the development of VTE during adjuvant chemotherapy in GBM patients retained high sensitivity in an external data set, however high specificity was lost. While the specificity in our model was higher than in previous studies examining the Khorona scale in GBM patients, further refinement to improve the models reliability to correctly identify people who will not later develop a VTE may be helpful.
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Affiliation(s)
- Shlomit Yust-Katz
- Davidoff Cancer Center at Rabin Medical Center and Tel-Aviv University, Petach-Tikva, Tel Aviv, Israel
| | | | | | | | | | | | | | - Jimin Wu
- University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Ying Yuan
- University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | | | | | | | - Terri Armstrong
- Neuro-Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
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22
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Youssef M, Ludmir E, Mandel J, Patel A, Jalali A, Treiber J, Wu J, McAleer M, DeGroot J. HOUT-18. TREATMENT STRATEGIES FOR GLIOBLASTOMA IN OLDER PATIENTS: AGE IS JUST A NUMBER. Neuro Oncol 2019. [DOI: 10.1093/neuonc/noz175.483] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Abstract
BACKGROUND
Optimal care for elderly patients with glioblastoma (GBM) remains in question due to their exclusion from and underrepresentation in clinical trials (including EORTC 22981) as well as their historically-poor overall survival.
METHODS
Retrospective chart review was conducted at a single high-volume cancer center for newly-diagnosed elderly (65 years old or older) GBM patients diagnosed from 2011 through 2017.
RESULTS
A total of 158 newly-diagnosed GBM patients aged 65 years and older were identified. 144 patients (91.1%) underwent radiation therapy. One-hundred thirty patient (90.3%) received concurrent temozolomide with radiotherapy. A minority of patients (23%) discontinued temozolomide during concurrent or adjuvant treatment due to side effects or complications of chemotherapy. Sixty-one patients (38.6%) completed concurrent chemoradiation and 6 cycles of adjuvant temodar. The median overall survival (OS) time for our cohort was 18.6 months, with estimated OS rates of 74.8%, 35.9%, and 9.5% at 1, 2, and 5 years, respectively. On multivariable analysis, higher KPS (p=0.002, HR 0.46; 95% CI: 0.63–0.82), completing planned course of radiation (p=0.01, HR 0.29; 95% CI: 0.11–0.75), and completing 6 cycles of adjuvant temozolomide (p=0.01, HR 2.62; 95% CI: 1.67–4.12) were associated with improved OS.
CONCLUSIONS
Our cohort of elderly GBM patients were predominately treated with a standard of care based on EORTC 22981. Despite their age, these patients tolerated treatment well and had a favorable overall survival compared to outcomes reported for patients treated on EORTC 22981. Using age alone as the reason to de-escalate treatment or as an exclusionary criteria in clinical trials should be discouraged.
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Affiliation(s)
- Michael Youssef
- University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Ethan Ludmir
- University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | | | - Akash Patel
- Baylor College of Medicine, Houston, TX, USA
| | - Ali Jalali
- Baylor College of Medicine, Houston, TX, USA
| | | | - Jimin Wu
- University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Mary McAleer
- University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - John DeGroot
- University of Texas MD Anderson Cancer Center, Houston, TX, USA
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Leiter LA, Tinahones FJ, Karalis DG, Bujas-Bobanovic M, Letierce A, Mandel J, Samuel R, Jones PH. Alirocumab safety in people with and without diabetes mellitus: pooled data from 14 ODYSSEY trials. Diabet Med 2018; 35:1742-1751. [PMID: 30183102 PMCID: PMC6585811 DOI: 10.1111/dme.13817] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 09/03/2018] [Indexed: 02/06/2023]
Abstract
AIM To evaluate the safety of the proprotein convertase subtilisin/kexin type 9 (PCSK9) inhibitor alirocumab according to diabetes mellitus status. METHODS Safety data from 14 trials (8-104-week durations) were analysed by treatment (alirocumab or placebo/ezetimibe control) and diabetes status (yes/no, defined by medical history). Adverse event data were assessed using descriptive statistics and Cox models. RESULTS Of the 5234 trial participants, 1554 (29.7%) had diabetes. Overall, treatment-emergent adverse events were similar in the alirocumab and control groups, except for more frequent local injection site reactions with alirocumab. Fewer people with diabetes experienced local injection site reactions [alirocumab, 3.5%, control, 2.9%; hazard ratio 1.24 (95% CI 0.68-2.25)] than those without diabetes [alirocumab, 7.5%; control, 4.9%; hazard ratio 1.51 (95% CI 1.13-2.01)]. Those with diabetes reported a greater number of serious adverse events (alirocumab, 19.4%; control, 19.7%) than those without diabetes (alirocumab, 14.5%; control, 13.5%). In people with diabetes, major adverse cardiac events occurred in 2.7% of alirocumab-treated people [control, 3.3%; hazard ratio 0.74 (95% CI 0.41-1.35)]; in those without diabetes, 1.8% of alirocumab-treated people had major adverse cardiac events [control, 1.7%; hazard ratio 0.95 (95% CI 0.56-1.62)]. Overall, no increase in HbA1c or fasting plasma glucose vs control treatment groups was observed, regardless of diabetes status. CONCLUSION This pooled analysis across 14 trials demonstrated similar safety for alirocumab vs control treatment, irrespective of diabetes status, except for more frequent local injection site reactions with alirocumab. People with diabetes reported fewer local injection site reactions than those without diabetes.
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Affiliation(s)
- L A Leiter
- Li Ka Shing Knowledge Institute, St Michael's Hospital, University of Toronto, Toronto, ON, Canada
| | - F J Tinahones
- Department of Clinical Endocrinology and Nutrition (IBIMA), Hospital Virgen de la Victoria, University of Málaga, CIBER Fisiopatología de la Obesidad y Nutrición (CIBERobn), Instituto de Salud Carlos III, Málaga, Spain
| | - D G Karalis
- Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA, USA
| | | | - A Letierce
- Biostatistics and Programming Department, Sanofi, Chilly-Mazarin, France
| | - J Mandel
- IviData Stats, Levallois Perret, France
- Sanofi, Chilly-Mazarin, France
| | - R Samuel
- Regeneron Pharmaceuticals, Inc., Tarrytown, NY, USA
| | - P H Jones
- Baylor College of Medicine, Houston, TX, USA
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24
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Mandel J, Youssef M, Nam J, Patel A, Liu D, Wu J, Armstrong G, Bondy M, de Groot J. EPID-08. EFFECT OF HEALTH DISPARITIES ON OVERALL SURVIVAL OF PATIENTS WITH GLIOBLASTOMA. Neuro Oncol 2018. [DOI: 10.1093/neuonc/noy148.335] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Affiliation(s)
| | | | | | - Akash Patel
- Baylor College of Medicine, Houston, TX, USA
| | - Diane Liu
- University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jimin Wu
- University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Georgina Armstrong
- Department of Medicine, Section of Epidemiology and Population Sciences, Dan L. Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX, USA
| | | | - John de Groot
- Department of Neuro-Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
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25
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de Groot J, Penas-Prado M, Mandel J, O’Brien B, Weathers SP, Loghin M, Kamiya-Matsuoka C, Zhou S, Colen R, Hunter K, Fuller G, Huse JT, Rao G, Weinberg J, Prabhu S, Ferguson S, Yuan Y, Vence L, Allison J, Sharma P, Heimberger A. ATIM-07. WINDOW-OF-OPPORTUNITY CLINICAL TRIAL OF PEMBROLIZUMAB IN RECURRENT GLIOBLASTOMA PATIENTS. Neuro Oncol 2018. [DOI: 10.1093/neuonc/noy148.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Affiliation(s)
- John de Groot
- Department of Neuro-Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | | | | | - Barbara O’Brien
- University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | | | - Monica Loghin
- University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | | | - Shouhao Zhou
- University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Rivka Colen
- Department of Cancer Systems Imaging, UT MD Anderson Cancer Center, Houston, TX, USA
| | - Kathy Hunter
- University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Gregory Fuller
- University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jason T Huse
- University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Ganesh Rao
- University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | | | - Sujit Prabhu
- University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | | | - Ying Yuan
- University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Luis Vence
- University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - James Allison
- University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Padmanee Sharma
- University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Amy Heimberger
- University of Texas MD Anderson Cancer Center, Houston, TX, USA
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26
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Mandel J, Ziv E, Yarmohammadi H, Boas F, Keohan M, D’Angelo S, Gounder M, Singer S, Crago A, Erinjeri J. 3:54 PM Abstract No. 258 Percutaneous cryoablation of extra-abdominal desmoid tumors as first-line and salvage therapy. J Vasc Interv Radiol 2018. [DOI: 10.1016/j.jvir.2018.01.287] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
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27
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Fellner A, Makranz C, Lotem M, Bokstein F, Taliansky A, Rosenberg S, Blumenthal DT, Mandel J, Fichman S, Kogan E, Steiner I, Siegal T, Lossos A, Yust-Katz S. Neurologic complications of immune checkpoint inhibitors. J Neurooncol 2018; 137:601-609. [PMID: 29332184 DOI: 10.1007/s11060-018-2752-5] [Citation(s) in RCA: 100] [Impact Index Per Article: 16.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2017] [Accepted: 01/07/2018] [Indexed: 01/14/2023]
Abstract
Immune checkpoint inhibitors (ICPIs) have recently emerged as a novel treatment for cancer. These agents, transforming the field of oncology, are not devoid of toxicity and cause immune-related side effects which can involve any organ including the nervous system. In this study, we present 9 patients (7 men and 2 women) with neurologic complications secondary to ICPI treatment. These included meningoencephalitis, limbic encephalitis, polyradiculitis, cranial polyneuropathy, myasthenic syndrome and myositis. Four patients received dual ICPI therapy comprised of programmed cell death-1 and cytotoxic lymphocyte associated protein-4 blocking antibodies. Median time to onset of neurologic adverse event during immune checkpoint inhibitor treatment was 8 weeks (range 5 days-19 weeks). In all patients ICPIs were stopped and corticosteroids were initiated, resulting in a marked improvement in seven out of nine patients. Two patients, one with myositis and one with myasthenic syndrome, died. In two patients ICPI therapy was resumed after resolution of the neurological adverse event with no additional neurologic complications. This series highlights the very broad spectrum of neurological complications of ICPIs, emphasizes the need for expedited diagnosis and suggests that withholding treatment early, accompanied with steroid therapy, carries the potential of complete resolution of the neurological immune-mediated condition. Thus, a high level of suspicion and rapid initiation of corticosteroids are mandatory to prevent uncontrolled clinical deterioration, which might be fatal.
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Affiliation(s)
- Avi Fellner
- Department of Neurology, Rabin Medical Center, Beilinson Hospital, 39 Jabotinski St., Petah Tikva, Israel. .,Sackler Faculty of Medicine, Tel Aviv University, Tel-Aviv, Israel.
| | - Chen Makranz
- Department of Oncology, Leslie and Michael Gaffin Center for Neuro-Oncology, Hadassah-Hebrew University Medical Center, Jerusalem, Israel
| | - Michal Lotem
- Sharett Institute of Oncology, Hadassah-Hebrew University Medical Center, Jerusalem, Israel
| | - Felix Bokstein
- Sackler Faculty of Medicine, Tel Aviv University, Tel-Aviv, Israel.,Neuro-Oncology Service, Tel-Aviv Sourasky Medical Center, Tel-Aviv, Israel
| | | | - Shai Rosenberg
- Department of Oncology, Leslie and Michael Gaffin Center for Neuro-Oncology, Hadassah-Hebrew University Medical Center, Jerusalem, Israel
| | - Deborah T Blumenthal
- Sackler Faculty of Medicine, Tel Aviv University, Tel-Aviv, Israel.,Neuro-Oncology Service, Tel-Aviv Sourasky Medical Center, Tel-Aviv, Israel
| | - Jacob Mandel
- Department of Neurology, Baylor College of Medicine, Houston, TX, USA
| | - Suzana Fichman
- Sackler Faculty of Medicine, Tel Aviv University, Tel-Aviv, Israel.,Department of Pathology, Rabin Medical Center, Beilinson Hospital, Petah Tikva, Israel
| | - Elena Kogan
- Department of Neurology, Rabin Medical Center, Beilinson Hospital, 39 Jabotinski St., Petah Tikva, Israel.,Sackler Faculty of Medicine, Tel Aviv University, Tel-Aviv, Israel
| | - Israel Steiner
- Department of Neurology, Rabin Medical Center, Beilinson Hospital, 39 Jabotinski St., Petah Tikva, Israel.,Sackler Faculty of Medicine, Tel Aviv University, Tel-Aviv, Israel
| | - Tali Siegal
- Department of Neurology, Rabin Medical Center, Beilinson Hospital, 39 Jabotinski St., Petah Tikva, Israel.,Neuro-Oncology Unit, Davidoff Cancer Center at Rabin Medical Center, Petah Tikva, Israel
| | - Alexander Lossos
- Department of Oncology, Leslie and Michael Gaffin Center for Neuro-Oncology, Hadassah-Hebrew University Medical Center, Jerusalem, Israel
| | - Shlomit Yust-Katz
- Department of Neurology, Rabin Medical Center, Beilinson Hospital, 39 Jabotinski St., Petah Tikva, Israel.,Sackler Faculty of Medicine, Tel Aviv University, Tel-Aviv, Israel.,Neuro-Oncology Unit, Davidoff Cancer Center at Rabin Medical Center, Petah Tikva, Israel
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Roth E, Rosenson R, Louie M, Mandel J, Patel M, Ray K. P1512Assessment of absolute reductions in LDL-C associated with alirocumab therapy: results from across the Phase 3 ODYSSEY programme. Eur Heart J 2017. [DOI: 10.1093/eurheartj/ehx502.p1512] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
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29
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Mandel J, Marks N, Hingorani A, Ascher E. IP155. A Completely Endovascular Technique for the Treatment of Dialysis-Associated Steal Syndrome. J Vasc Surg 2017. [DOI: 10.1016/j.jvs.2017.03.181] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
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30
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Sundararajan R, Johansson WS, Mandel J. Developing an Academic Global Health Program for Medical Students:
Lessons Learned from our First Year. Ann Glob Health 2017. [DOI: 10.1016/j.aogh.2017.03.317] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022] Open
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31
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Mandel J, Olivieri B, Bergen M, Patel R, Kim E, Tabori N, Warner R, Lookstein R, Fischman A, Nowakowski F. Ki-67 index as a predictor of response to Y-90 radioembolization for neuroendocrine tumors metastatic to the liver. J Vasc Interv Radiol 2017. [DOI: 10.1016/j.jvir.2016.12.998] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022] Open
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32
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Sussman J, Varela N, Cheung M, Hicks L, Kraftcheck D, Mandel J, Fraser G, Jimenez-Juan L, Boudreau A, Sajkowski S, McQuillan R. Follow-up care for survivors of lymphoma who have received curative-intent treatment. Curr Oncol 2016; 23:e499-e513. [PMID: 27803611 PMCID: PMC5081023 DOI: 10.3747/co.23.3265] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
OBJECTIVE This evidence summary set out to assess the available evidence about the follow-up of asymptomatic survivors of lymphoma who have received curative-intent treatment. METHODS The medline and embase databases and the Cochrane Database of Systematic Reviews were searched for evidence published between 2000 and August 2015 relating to lymphoma survivorship follow-up. The evidence summary was developed by a Working Group at the request of the Cancer Care Ontario Survivorship and Cancer Imaging programs because of the absence of evidence-based practice documents in Ontario for the follow-up and surveillance of asymptomatic patients with lymphoma in complete remission. RESULTS Eleven retrospective studies met the inclusion criteria. The proportion of relapses initially detected by clinical manifestations ranged from 13% to 78%; for relapses initially detected by imaging, the proportion ranged from 8% to 46%. Median time for relapse detection ranged from 8.6 to 19 months for patients initially suspected because of imaging and from 8.6 to 33 months for those initially suspected because of clinical manifestations. Only one study reported significantly earlier relapse detection for patients initially suspected because of clinical manifestations (mean: 4.5 months vs. 6.0 months, p = 0.042). No benefit in terms of overall survival was observed for patients depending on whether their relapse was initially detected because of clinical manifestations or surveillance imaging. SUMMARY Findings in the present study support the importance of improving awareness on the part of survivors and clinicians about the symptoms that might be associated with recurrence. The evidence does not support routine imaging for improving outcomes in this patient population.
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Affiliation(s)
- J. Sussman
- Division of Radiation Oncology, Juravinski Cancer Centre, Hamilton
| | - N.P. Varela
- Cancer Care Ontario, Program in Evidence-Based Care, McMaster University, Hamilton
| | - M. Cheung
- Odette Cancer Centre, Sunny-brook Health Sciences Centre, Toronto
| | - L. Hicks
- Division of Hematology/Oncology, St. Michael’s Hospital, Toronto
| | - D. Kraftcheck
- Provincial Primary Care and Cancer Network, Hamilton Niagara Haldimand Brant, Grimsby
| | - J. Mandel
- Department of Diagnostic Imaging and Nuclear Medicine, Oakville Trafalgar Memorial Hospital, Oakville
| | - G. Fraser
- Division of Malignant Hematology, Juravinski Cancer Centre, Hamilton
| | | | - A. Boudreau
- Sunnybrook Health Sciences Centre, Toronto and
| | - S. Sajkowski
- Cancer Care Ontario Patient and Family Advisor, Toronto, ON
| | - R. McQuillan
- Cancer Care Ontario Patient and Family Advisor, Toronto, ON
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Affiliation(s)
- Jose M Pacheco
- From the Department of Internal Medicine, Division of Hematology and Oncology (J.M.P.), Departments of Pathology & Immunology and Neurology (J.C.G.), and Department of Neurology (J.M.), Baylor College of Medicine, Houston, TX.
| | - J Clay Goodman
- From the Department of Internal Medicine, Division of Hematology and Oncology (J.M.P.), Departments of Pathology & Immunology and Neurology (J.C.G.), and Department of Neurology (J.M.), Baylor College of Medicine, Houston, TX
| | - Jacob Mandel
- From the Department of Internal Medicine, Division of Hematology and Oncology (J.M.P.), Departments of Pathology & Immunology and Neurology (J.C.G.), and Department of Neurology (J.M.), Baylor College of Medicine, Houston, TX
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Ladha H, Pawar T, Gilbert MR, Mandel J, O-Brien B, Conrad C, Fields M, Hanna T, Loch C, Armstrong TS. Wound healing complications in brain tumor patients on Bevacizumab. J Neurooncol 2015; 124:501-6. [PMID: 26298437 DOI: 10.1007/s11060-015-1868-0] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2015] [Accepted: 07/26/2015] [Indexed: 01/16/2023]
Abstract
Bevacizumab (BEV) is commonly used for treating recurrent glioblastoma (GBM), and wound healing is a well-established adverse event. Retrospective analysis of GBM patients with and without wound healing complications while on BEV treatment is reported. 287 patients identified, majority were males (60 %) with median age of 52.5 years. 14 cases identified with wound healing problems, related to either craniotomy (n = 8) or other soft tissue wounds (n = 6). Median duration of BEV treatment to complication was 62 days (range 6-559). Majority received 10 mg/kg (n = 11) and nine (64.3 %) were on corticosteroids, with median daily dose of 6 mg (range 1-16 mg) for median of 473 days before starting BEV. For dehisced craniotomy wounds, median time for starting BEV from last surgery was 29 days (range 27-345). Median time from starting BEV to developing wound complication was 47 days (range 16-173). Seven (87.5 %) had infected wounds requiring antibiotics, hospitalization. Four (50 %) required plastic surgery. BEV stopped and safely resumed in 6 (75 %) patients; median delay was 70 days (range 34-346). Soft tissue wounds included decubitus ulcer, dehisced striae, herpes simplex, trauma to hand and back, and abscess. Median time from starting BEV to wound issues was 72 days (range 6-559). Five (83.3 %) were infected, requiring antibiotics. While three (50 %) required hospitalization, none required plastic surgery. Treatment stopped in five (83.3 %) and restarted in two (median delay 48 days, range 26-69). Wound healing complications are uncommon but associated with significant morbidity. Identifying those at risk and contributing factors warrants further investigation.
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Affiliation(s)
- Harshad Ladha
- The University of Texas Health Science Center at Houston - School of Nursing, 6901 Bertner Ave, Houston, TX, 77030, USA.
| | - Tushar Pawar
- The University of Texas Health Science Center at Houston - School of Nursing, 6901 Bertner Ave, Houston, TX, 77030, USA
| | - Mark R Gilbert
- UT MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX, 77030, USA
| | - Jacob Mandel
- Baylor College of Medicine, 1 Baylor Plaza, Houston, TX, 77030, USA
| | - Barbara O-Brien
- UT MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX, 77030, USA
| | - Charles Conrad
- UT MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX, 77030, USA
| | - Margaret Fields
- UT MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX, 77030, USA
| | - Teresa Hanna
- UT MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX, 77030, USA
| | - Carolyn Loch
- UT MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX, 77030, USA
| | - Terri S Armstrong
- The University of Texas Health Science Center at Houston - School of Nursing, 6901 Bertner Ave, Houston, TX, 77030, USA.,UT MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX, 77030, USA
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36
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Yust-Katz S, Mandel J, Ying Y, Wu J, Courtney C, Ladha H, Pawar T, Gilbert M, Armstrong T. SP-05 * VENOUS THROMBOEMBOLISM AND GLIOBLASTOMA. Neuro Oncol 2014. [DOI: 10.1093/neuonc/nou276.5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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37
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Pawar T, Ladha H, Mandel J, Gilbert M, O'Brien B, Hamza M, Armstrong T. CN-15 * ADVERSE EFFECTS OF BEVACIZUMAB IN BRAIN TUMOR PATIENTS. Neuro Oncol 2014. [DOI: 10.1093/neuonc/nou243.15] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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38
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Reid C, Yousefian O, Smith A, Kim D, Mandel J, Bansal V. Correlating Surgical Clerkship Evaluations with Medical Student Performance on the NBME Examination. J Surg Res 2014. [DOI: 10.1016/j.jss.2013.11.743] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Ambady P, Holdhoff M, Ferrigno C, Grossman S, Anderson MD, Liu D, Conrad C, Penas-Prado M, Gilbert MR, Yung AWK, de Groot J, Aoki T, Nishikawa R, Sugiyama K, Nonoguchi N, Kawabata N, Mishima K, Adachi JI, Kurisu K, Yamasaki F, Tominaga T, Kumabe T, Ueki K, Higuchi F, Yamamoto T, Ishikawa E, Takeshima H, Yamashita S, Arita K, Hirano H, Yamada S, Matsutani M, Apok V, Mills S, Soh C, Karabatsou K, Arimappamagan A, Arya S, Majaid M, Somanna S, Santosh V, Schaff L, Armentano F, Harrison C, Lassman A, McKhann G, Iwamoto F, Armstrong T, Yuan Y, Liu D, Acquaye A, Vera-Bolanos E, Diefes K, Heathcock L, Cahill D, Gilbert M, Aldape K, Arrillaga-Romany I, Ruddy K, Greenberg S, Nayak L, Avgeropoulos N, Avgeropoulos G, Riggs G, Reilly C, Banerji N, Bruns P, Hoag M, Gilliland K, Trusheim J, Bekaert L, Borha A, Emery E, Busson A, Guillamo JS, Bell M, Harrison C, Armentano F, Lassman A, Connolly ES, Khandji A, Iwamoto F, Blakeley J, Ye X, Bergner A, Dombi E, Zalewski C, Follmer K, Halpin C, Fayad L, Jacobs M, Baldwin A, Langmead S, Whitcomb T, Jennings D, Widemann B, Plotkin S, Brandes AA, Mason W, Pichler J, Nowak AK, Gil M, Saran F, Revil C, Lutiger B, Carpentier AF, Milojkovic-Kerklaan B, Aftimos P, Altintas S, Jager A, Gladdines W, Lonnqvist F, Soetekouw P, van Linde M, Awada A, Schellens J, Brandsma D, Brenner A, Sun J, Floyd J, Hart C, Eng C, Fichtel L, Gruslova A, Lodi A, Tiziani S, Bridge CA, Baldock A, Kumthekar P, Dilfer P, Johnston SK, Jacobs J, Corwin D, Guyman L, Rockne R, Sonabend A, Cloney M, Canoll P, Swanson KR, Bromberg J, Schouten H, Schaafsma R, Baars J, Brandsma D, Lugtenburg P, van Montfort C, van den Bent M, Doorduijn J, Spalding A, LaRocca R, Haninger D, Saaraswat T, Coombs L, Rai S, Burton E, Burzynski G, Burzynski S, Janicki T, Marszalek A, Burzynski S, Janicki T, Burzynski G, Marszalek A, Cachia D, Smith T, Cardona AF, Mayor LC, Jimenez E, Hakim F, Yepes C, Bermudez S, Useche N, Asencio JL, Mejia JA, Vargas C, Otero JM, Carranza H, Ortiz LD, Cardona AF, Ortiz LD, Jimenez E, Hakim F, Yepes C, Useche N, Bermudez S, Asencio JL, Carranza H, Vargas C, Otero JM, Bartels C, Quintero A, Restrepo CE, Gomez S, Bernal-Vaca L, Lema M, Cardona AF, Ortiz LD, Useche N, Bermudez S, Jimenez E, Hakim F, Yepes C, Mejia JA, Bernal-Vaca L, Restrepo CE, Gomez S, Quintero A, Bartels C, Carranza H, Vargas C, Otero JM, Carlo M, Omuro A, Grommes C, Kris M, Nolan C, Pentsova E, Pietanza M, Kaley T, Carrabba G, Giammattei L, Draghi R, Conte V, Martinelli I, Caroli M, Bertani G, Locatelli M, Rampini P, Artoni A, Carrabba G, Bertani G, Cogiamanian F, Ardolino G, Zarino B, Locatelli M, Caroli M, Rampini P, Chamberlain M, Raizer J, Soffetti R, Ruda R, Brandsma D, Boogerd W, Taillibert S, Le Rhun E, Jaeckle K, van den Bent M, Wen P, Chamberlain M, Chinot OL, Wick W, Mason W, Henriksson R, Saran F, Nishikawa R, Carpentier AF, Hoang-Xuan K, Kavan P, Cernea D, Brandes AA, Hilton M, Kerloeguen Y, Guijarro A, Cloughsey T, Choi JH, Hong YK, Conrad C, Yung WKA, deGroot J, Gilbert M, Loghin M, Penas-Prado M, Tremont I, Silberman S, Picker D, Costa R, Lycette J, Gancher S, Cullen J, Winer E, Hochberg F, Sachs G, Jeyapalan S, Dahiya S, Stevens G, Peereboom D, Ahluwalia M, Daras M, Hsu M, Kaley T, Panageas K, Curry R, Avila E, Fuente MDL, Omuro A, DeAngelis L, Desjardins A, Sampson J, Peters K, Ranjan T, Vlahovic G, Threatt S, Herndon J, Boulton S, Lally-Goss D, McSherry F, Friedman A, Friedman H, Bigner D, Gromeier M, Prust M, Kalpathy-Cramer J, Poloskova P, Jafari-Khouzani K, Gerstner E, Dietrich J, Fabi A, Villani V, Vaccaro V, Vidiri A, Giannarelli D, Piludu F, Anelli V, Carapella C, Cognetti F, Pace A, Flowers A, Flowers A, Killory B, Furuse M, Miyatake SI, Kawabata S, Kuroiwa T, Garciarena P, Anderson MD, Hamilton J, Schellingerhout D, Fuller GN, Sawaya R, Gilbert MR, Gilbert M, Pugh S, Won M, Blumenthal D, Vogelbaum M, Aldape K, Colman H, Chakravarti A, Jeraj R, Dignam J, Armstrong T, Wefel J, Brown P, Jaeckle K, Schiff D, Brachman D, Werner-Wasik M, Tremont-Lukats I, Sulman E, Mehta M, Gill B, Yun J, Goldstein H, Malone H, Pisapia D, Sonabend AM, Mckhann GK, Sisti MB, Sims P, Canoll P, Bruce JN, Girvan A, Carter G, Li L, Kaltenboeck A, Chawla A, Ivanova J, Koh M, Stevens J, Lahn M, Gore M, Hariharan S, Porta C, Bjarnason G, Bracarda S, Hawkins R, Oudard S, Zhang K, Fly K, Matczak E, Szczylik C, Grossman R, Ram Z, Hamza M, O'Brien B, Mandel J, DeGroot J, Han S, Molinaro A, Berger M, Prados M, Chang S, Clarke J, Butowski N, Hashimoto N, Chiba Y, Tsuboi A, Kinoshita M, Hirayama R, Kagawa N, Oka Y, Oji Y, Sugiyama H, Yoshimine T, Hawkins-Daarud A, Jackson PR, Swanson KR, Sarmiento JM, Ly D, Jutla J, Ortega A, Carico C, Dickinson H, Phuphanich S, Rudnick J, Patil C, Hu J, Iglseder S, Nowosielski M, Nevinny-Stickel M, Stockhammer G, Jain R, Poisson L, Scarpace L, Mikkelsen T, Kirby J, Freymann J, Hwang S, Gutman D, Jaffe C, Brat D, Flanders A, Janicki T, Burzynski S, Burzynski G, Marszalek A, Jiang C, Wang H, Jo J, Williams B, Smolkin M, Wintermark M, Shaffrey M, Schiff D, Juratli T, Soucek S, Kirsch M, Schackert G, Kakkar A, Kumar S, Bhagat U, Kumar A, Suri A, Singh M, Sharma M, Sarkar C, Suri V, Kaley T, Barani I, Chamberlain M, McDermott M, Raizer J, Rogers L, Schiff D, Vogelbaum M, Weber D, Wen P, Kalita O, Vaverka M, Hrabalek L, Zlevorova M, Trojanec R, Hajduch M, Kneblova M, Ehrmann J, Kanner AA, Wong ET, Villano JL, Ram Z, Khatua S, Fuller G, Dasgupta S, Rytting M, Vats T, Zaky W, Khatua S, Sandberg D, Foresman L, Zaky W, Kieran M, Geoerger B, Casanova M, Chisholm J, Aerts I, Bouffet E, Brandes AA, Leary SES, Sullivan M, Bailey S, Cohen K, Mason W, Kalambakas S, Deshpande P, Tai F, Hurh E, McDonald TJ, Kieran M, Hargrave D, Wen PY, Goldman S, Amakye D, Patton M, Tai F, Moreno L, Kim CY, Kim T, Han JH, Kim YJ, Kim IA, Yun CH, Jung HW, Koekkoek JAF, Reijneveld JC, Dirven L, Postma TJ, Vos MJ, Heimans JJ, Taphoorn MJB, Koeppen S, Hense J, Kong XT, Davidson T, Lai A, Cloughesy T, Nghiemphu PL, Kong DS, Choi YL, Seol HJ, Lee JI, Nam DH, Kool M, Jones DTW, Jager N, Northcott PA, Pugh T, Hovestadt V, Markant S, Esparza LA, Bourdeaut F, Remke M, Taylor MD, Cho YJ, Pomeroy SL, Schuller U, Korshunov A, Eils R, Wechsler-Reya RJ, Lichter P, Pfister SM, Krel R, Krutoshinskaya Y, Rosiello A, Seidman R, Kowalska A, Kudo T, Hata Y, Maehara T, Kumthekar P, Bridge C, Patel V, Rademaker A, Helenowski I, Mrugala M, Rockhill J, Swanson K, Grimm S, Raizer J, Meletath S, Bennett M, Nestor VA, Fink KL, Lee E, Reardon D, Schiff D, Drappatz J, Muzikansky A, Hammond S, Grimm S, Norden A, Beroukhim R, McCluskey C, Chi A, Batchelor T, Smith K, Gaffey S, Gerard M, Snodgras S, Raizer J, Wen P, Leeper H, Johnson D, Lima J, Porensky E, Cavaliere R, Lin A, Liu J, Evans J, Leuthardt E, Dacey R, Dowling J, Kim A, Zipfel G, Grubb R, Huang J, Robinson C, Simpson J, Linette G, Chicoine M, Tran D, Liubinas SV, D'Abaco GM, Moffat B, Gonzales M, Feleppa F, Nowell CJ, Gorelick A, Drummond KJ, Morokoff AP, O'Brien TJ, Kaye AH, Loghin M, Melhem-Bertrandt A, Penas-Prado M, Zaidi T, Katz R, Lupica K, Stevens G, Ly I, Hamilton S, Rostomily R, Rockhill J, Mrugala M, Mandel J, Yust-Katz S, de Groot J, Yung A, Gilbert M, Burzynski S, Janicki T, Burzynski G, Marszalek A, Pachow D, Kliese N, Kirches E, Mawrin C, McNamara MG, Lwin Z, Jiang H, Chung C, Millar BA, Sahgal A, Laperriere N, Mason WP, Megyesi J, Salehi F, Merker V, Slusarz K, Muzikansky A, Francis S, Plotkin S, Mishima K, Adachi JI, Suzuki T, Uchida E, Yanagawa T, Watanabe Y, Fukuoka K, Yanagisawa T, Wakiya K, Fujimaki T, Nishikawa R, Moiyadi A, Kannan S, Sridhar E, Gupta T, Shetty P, Jalali R, Alshami J, Lecavalier-Barsoum M, Guiot MC, Tampieri D, Kavan P, Muanza T, Nagane M, Kobayashi K, Takayama N, Shiokawa Y, Nakamura H, Makino K, Hideo T, Kuroda JI, Shinojima N, Yano S, Kuratsu JI, Nambudiri N, Arrilaga I, Dunn I, Folkerth R, Chi S, Reardon D, Nayak L, Omuro A, DeAngelis L, Robins HI, Govindan R, Gadgeel S, Kelly K, Rigas J, Reimers HJ, Peereboom D, Rosenfeld S, Garst J, Ramnath N, Wing P, Zheng M, Urban P, Abrey L, Wen P, Nayak L, DeAngelis LM, Wen PY, Brandes AA, Soffietti R, Peereboom DM, Lin NU, Chamberlain M, Macdonald D, Galanis E, Perry J, Jaeckle K, Mehta M, Stupp R, van den Bent M, Reardon DA, Norden A, Hammond S, Drappatz J, Phuphanich S, Reardon D, Wong E, Plotkin S, Lesser G, Raizer J, Batchelor T, Lee E, Kaley T, Muzikansky A, Doherty L, LaFrankie D, Ruland S, Smith K, Gerard M, McCluskey C, Wen P, Norden A, Schiff D, Ahluwalia M, Lesser G, Nayak L, Lee E, Muzikansky A, Dietrich J, Smith K, Gaffey S, McCluskey C, Ligon K, Reardon D, Wen P, Bush NAO, Kesari S, Scott B, Ohno M, Narita Y, Miyakita Y, Arita H, Matsushita Y, Yoshida A, Fukushima S, Ichimura K, Shibui S, Okamura T, Kaneko S, Omuro A, Chinot O, Taillandier L, Ghesquieres H, Soussain C, Delwail V, Lamy T, Gressin R, Choquet S, Soubeyran P, Maire JP, Benouaich-Amiel A, Lebouvier-Sadot S, Gyan E, Barrie M, del Rio MS, Gonzalez-Aguilar A, Houllier C, Tanguy ML, Hoang-Xuan K, Omuro A, Abrey L, Raizer J, Paleologos N, Forsyth P, DeAngelis L, Kaley T, Louis D, Cairncross JG, Matasar M, Mehta J, Grimm S, Moskowitz C, Sauter C, Opinaldo P, Torcuator R, Ortiz LD, Cardona AF, Hakim F, Jimenez E, Yepes C, Useche N, Bermudez S, Mejia JA, Asencio JL, Carranza H, Vargas C, Otero JM, Lema M, Pace A, Villani V, Fabi A, Carapella CM, Patel A, Allen J, Dicker D, Sheehan J, El-Deiry W, Glantz M, Tsyvkin E, Rauschkolb P, Pentsova E, Lee M, Perez A, Norton J, Uschmann H, Chamczuck A, Khan M, Fratkin J, Rahman R, Hempfling K, Norden A, Reardon DA, Nayak L, Rinne M, Doherty L, Ruland S, Rai A, Rifenburg J, LaFrankie D, Wen P, Lee E, Ranjan T, Peters K, Vlahovic G, Friedman H, Desjardins A, Reveles I, Brenner A, Ruda R, Bello L, Castellano A, Bertero L, Bosa C, Trevisan E, Riva M, Donativi M, Falini A, Soffietti R, Saran F, Chinot OL, Henriksson R, Mason W, Wick W, Nishikawa R, Dahr S, Hilton M, Garcia J, Cloughesy T, Sasaki H, Nishiyama Y, Yoshida K, Hirose Y, Schwartz M, Grimm S, Kumthekar P, Fralin S, Rice L, Drawz A, Helenowski I, Rademaker A, Raizer J, Schwartz K, Chang H, Nikolai M, Kurniali P, Olson K, Pernicone J, Sweeley C, Noel M, Sharma M, Gupta R, Suri V, Singh M, Sarkar C, Shibahara I, Sonoda Y, Saito R, Kanamori M, Yamashita Y, Kumabe T, Watanabe M, Suzuki H, Watanabe T, Ishioka C, Tominaga T, Shih K, Chowdhary S, Rosenblatt P, Weir AB, Shepard G, Williams JT, Shastry M, Hainsworth JD, Singer S, Riely GJ, Kris MG, Grommes C, Sanders MWCB, Arik Y, Seute T, Robe PAJT, Leijten FSS, Snijders TJ, Sturla L, Culhane JJ, Donahue J, Jeyapalan S, Suchorska B, Jansen N, Wenter V, Eigenbrod S, Schmid-Tannwald C, Zwergal A, Niyazi M, Bartenstein P, Schnell O, Kreth FW, LaFougere C, Tonn JC, Taillandier L, Wittwer B, Blonski M, Faure G, De Carvalho M, Le Rhun E, Tanaka K, Sasayama T, Nishihara M, Mizukawa K, Kohmura E, Taylor S, Newell K, Graves L, Timmer M, Cramer C, Rohn G, Goldbrunner R, Turner S, Gergel T, Lacroix M, Toms S, Ueki K, Higuchi F, Sakamoto S, Kim P, Salgado MAV, Rueda AG, Urzaiz LL, Villanueva MG, Millan JMS, Cervantes ER, Pampliega RA, de Pedro MDA, Berrocal VR, Mena AC, van Zanten SV, Jansen M, van Vuurden D, Huisman M, Hoekstra O, van Dongen G, Kaspers GJ, Schlamann A, von Bueren AO, Hagel C, Kramm C, Kortmann RD, Muller K, Friedrich C, Muller K, von Hoff K, Kwiecien R, Pietsch T, Warmuth-Metz M, Gerber NU, Hau P, Kuehl J, Kortmann RD, von Bueren AO, Rutkowski S, von Bueren AO, Friedrich C, von Hoff K, Kwiecien R, Muller K, Pietsch T, Warmuth-Metz M, Kuehl J, Kortmann RD, Rutkowski S, Walker J, Tremont I, Armstrong T, Wang H, Jiang C, Wang H, Jiang C, Warren P, Robert S, Lahti A, White D, Reid M, Nabors L, Sontheimer H, Wen P, Yung A, Mellinghoff I, Lamborn K, Ramkissoon S, Cloughesy T, Rinne M, Omuro A, DeAngelis L, Gilbert M, Chi A, Batchelor T, Colman H, Chang S, Nayak L, Massacesi C, DiTomaso E, Prados M, Reardon D, Ligon K, Wong ET, Elzinga G, Chung A, Barron L, Bloom J, Swanson KD, Elzinga G, Chung A, Wong ET, Wu W, Galanis E, Wen P, Das A, Fine H, Cloughesy T, Sargent D, Yoon WS, Yang SH, Chung DS, Jeun SS, Hong YK, Yust-Katz S, Milbourne A, Diane L, Gilbert M, Armstrong T, Zaky W, Weinberg J, Fuller G, Ketonen L, McAleer MF, Ahmed N, Khatua S, Zaky W, Olar A, Stewart J, Sandberg D, Foresman L, Ketonen L, Khatua S. NEURO/MEDICAL ONCOLOGY. Neuro Oncol 2013; 15:iii98-iii135. [PMCID: PMC3823897 DOI: 10.1093/neuonc/not182] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/14/2023] Open
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Hamza MA, Mandel J, Conrad CA, Gilbert MR, Yung WKA, Puduvalli VK, De Groot JF. Survival outcome of early versus delayed bevacizumab treatment in patients with recurrent glioblastoma. J Clin Oncol 2013. [DOI: 10.1200/jco.2013.31.15_suppl.2042] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
2042 Background: Bevacizumab (BEV) is widely used for treatment of patients with recurrent glioblastoma (GB). Differences in outcome between early versus delayed BEV treatment of recurrent GB are not well defined. We examined the relationship between the time of start of BEV treatment and outcomes in patients with recurrent GB. Methods: In this retrospective chart review derived from our longitudinal database, we identified patients with recurrent GB between 2001 and 2011, who were treated with BEV alone or BEV-containing regimens. Data was analyzed to determine overall survival (OS) from time of diagnosis and progression free survival (PFS) from time of BEV start. Early BEV was defined as start of BEV treatment at first recurrence, while delayed BEV was defined as start of treatment at second recurrence or later. Results: A total of 298 patients with recurrent GB who received BEV were identified, of whom 149 patients received early BEV, 134 patients received delayed BEV, and 15 patients who were excluded because they received BEV upfront. There were no significant differences in the age, sex, performance status and extent of resection between patients treated with early BEV and those treated with delayed BEV. The median time from diagnosis to first recurrence was more than 6 months (mos.) for both groups (6.5 mos. for early BEV and 7.6 mos. for delayed BEV, p = 0.01). The median time from diagnosis to start of BEV was 7.9 mos. for patients with early BEV and 15.6 mos. for patients with delayed BEV (p<0.001). There was no significant difference in PFS between patients that received early BEV and those that received delayed BEV (5.73 mos. vs. 4.33 mos., p = 0.07). Patients who were treated with delayed BEV had longer OS when compared to those treated with early BEV (25.9 mos. vs. 19.7 mos., p = 0.0002). Conclusions: In patients with recurrent GB, there was no significant difference in PFS between early and delayed BEV; however, patients treated with delayed BEV have longer OS when compared to those treated with early BEV. These results indicate that delaying treatment with BEV is not detrimental and may be associated with a favorable survival outcome.
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Affiliation(s)
| | - Jacob Mandel
- The University of Texas MD Anderson Cancer Center, Houston, TX
| | | | - Mark R. Gilbert
- The University of Texas MD Anderson Cancer Center, Houston, TX
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Mandel J, Quick A, Lawson V. Early Predictors of Progression in Idiopathic Sensory Neuropathy (P03.209). Neurology 2012. [DOI: 10.1212/wnl.78.1_meetingabstracts.p03.209] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
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Mandel J, Oas J. Sporadic CJD (VV2 Type) Presenting with Central Vestibular Abnormalities (P03.259). Neurology 2012. [DOI: 10.1212/wnl.78.1_meetingabstracts.p03.259] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
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Snyder D, Landau E, Rosenheimer N, Mandel J, Glukhman E, Hasson N, Lador C, Olesinski E, Hagler-Price G, Leshem A, Freind E, Ben Abu K, Sharabi S, Shachaf O, Israeli H, Harati D, Srur-Kidron O, Galamidi Cohen E, Peled T. Stemex® Is Expanding: Pivotal Trial Nears Completion, and Development of a Cryopreserved Product Is Underway. Biol Blood Marrow Transplant 2012. [DOI: 10.1016/j.bbmt.2011.12.166] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/14/2022]
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Snyder D, Landau E, Rosenheimer N, Mandel J, Glukhman E, Hasson N, Lador C, Olesinski E, Hagler-Price G, Leshem A, Freind E, Ben Abu K, Sharabi S, Shachaf O, Israeli H, Harati D, Srur-Kidron O, Bracha D, Peled T. The Stemex Phase II/III Study: Challenges in Production and Delivery of Centrally Manufactured ex vivo Expanded Umbilical Cord Blood (UCB) CD133+ Cells to Patients With Advanced Hematological Malignancies. Biol Blood Marrow Transplant 2011. [DOI: 10.1016/j.bbmt.2010.12.452] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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Glueck DH, Karimpour-Fard A, Mandel J, Muller KE. Probabilities for separating sets of order statistics. STATISTICS-ABINGDON 2010; 44:145-153. [PMID: 21243084 DOI: 10.1080/02331880902986984] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
Consider a set of order statistics that arise from sorting samples from two different populations, each with their own, possibly different distribution functions. The probability that these order statistics fall in disjoint, ordered intervals and that of the smallest statistics, a certain number come from the first populations is given in terms of the two distribution functions. The result is applied to computing the joint probability of the number of rejections and the number of false rejections for the Benjamini-Hochberg false discovery rate procedure.
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Affiliation(s)
- D H Glueck
- Department of Preventive Medicine and Biometrics, University of Colorado Denver, Campus Box B119, 4200 East Ninth Avenue, Denver, CO 80262, USA
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Golden R, Doull J, Waddell W, Mandel J. “Potential Human Cancer Risks From Exposure to PCBs: A Tale of Two Evaluations”: Response to ATSDR Comments. Crit Rev Toxicol 2008. [DOI: 10.1080/10408440490891116] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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Glueck DH, Karimpour-Fard A, Mandel J, Hunter L, Muller KE. Fast Computation by Block Permanents of Cumulative Distribution Functions of Order Statistics from Several Populations. COMMUN STAT-THEOR M 2008; 37:2815-2824. [PMID: 19865590 DOI: 10.1080/03610920802001896] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Abstract
The joint cumulative distribution function for order statistics arising from several different populations is given in terms of the distribution functions of the populations. The computational cost of our formula in the case of two populations is still exponential in the worst case, but it is a dramatic improvement compared to the general formula by Bapat and Beg. In the case when only the joint distribution function of a subset of the order statistics of fixed size is needed, the complexity is polynomial, for the case of two populations.
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Affiliation(s)
- D H Glueck
- Department of Preventive Medicine and Biometrics, University of Colorado Denver, Denver, Colorado, USA
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Toussaint A, Nicot A, Dondaine N, Kretz C, Poirson C, Zanoteli E, Wallgren-Pettersson C, Echaniz-Laguna A, Bomme Ousager L, Krause A, Jern C, Merlini L, Oliveira A, Biancalana V, Mandel J, Laporte J. C.P.4.10 Mutation spectrum of the large GTPase dynamin 2 in autosomal centronuclear myopathy. Neuromuscul Disord 2007. [DOI: 10.1016/j.nmd.2007.06.400] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
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Peled T, Mandel J, Goudsmid RN, Landor C, Hasson N, Harati D, Austin M, Hasson A, Fibach E, Shpall EJ, Nagler A. Pre-clinical development of cord blood-derived progenitor cell graft expanded ex vivo with cytokines and the polyamine copper chelator tetraethylenepentamine. Cytotherapy 2006; 6:344-55. [PMID: 16146887 DOI: 10.1080/14653240410004916] [Citation(s) in RCA: 81] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
Abstract
BACKGROUND We have previously demonstrated that the copper chelator tetraethylenepentamine (TEPA) enables preferential expansion of early hematopoietic progenitor cells (CD34+CD38-, CD34+CD38-Lin-) in human umbilical cord blood (CB)-derived CD34+ cell cultures. This study extends our previous findings that copper chelation can modulate the balance between self-renewal and differentiation of hematopoietic progenitor cells. METHODS In the present study we established a clinically applicative protocol for large-scale ex vivo expansion of CB-derived progenitors. Briefly, CD133+ cells, purified from CB using Miltenyi Biotec's (Bergisch Gladbach, Germany) CliniMACS separation device and the anti-CD133 reagent, were cultured for 3 weeks in a clinical-grade closed culture bag system, using the chelator-based technology in combination with early-acting cytokines (SCF, thrombopoietin, IL-6 and FLT-3 ligand). This protocol was evaluated using frozen units derived from accredited cord blood banks. RESULTS Following 3 weeks of expansion under large-scale culture conditions that were suitable for clinical manufacturing, the median output value of CD34+ cells increase by 89-fold, CD34+CD38- increase by 30-fold and CFU cells (CFUc) by 172-fold over the input value. Transplantation into sublethally irradiated non-obese diabetic (NOD/SCID) mice indicated that the engraftment potential of the ex vivo expanded CD133+ cells was significantly superior to that of unexpanded cells: 60+/-5.5% vs. 21+/-3.5% CD45+ cells, P=0.001, and 11+/-1.8% vs. 4+/-0.68% CD45+CD34+ cells, P=0.012, n=32, respectively. DISCUSSION Based on these large-scale experiments, the chelator-based ex vivo expansion technology is currently being tested in a phase 1 clinical trial in patients undergoing CB transplantation for hematological malignancies.
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Affiliation(s)
- T Peled
- Gamida-Cell Ltd, Jerusalem, Israel
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Winawer S, Faivre J, Selby J, Bertaro L, Chen THH, Kroborg O, Levin B, Mandel J, O'Morain C, Richards M, Rennert G, Russo A, Saito H, Semigfnovsky B, Wong B, Smith R. Workgroup II: the screening process. UICC International Workshop on Facilitating Screening for Colorectal Cancer, Oslo, Norway (29 and 30 June 2002). Ann Oncol 2005; 16:31-3. [PMID: 15598933 DOI: 10.1093/annonc/mdi029] [Citation(s) in RCA: 14] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022] Open
Affiliation(s)
- S Winawer
- Memorial Sloan-Kettering Cancer Center, New York, NY, USA
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