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NIMG-67 : MULTI-PARAMETRIC MRI-BASED MACHINE LEARNING ANALYSIS FOR PREDICTION OF NEOPLASTIC INFILTRATION AND RECURRENCE IN PATIENTS WITH GLIOBLASTOMA: UPDATES FROM THE MULTI-INSTITUTIONAL RESPOND CONSORTIUM

Researchers

Presenter

  • Hamed Akbari

Principal Investigators

  • Jose Garcia

  • Anahita Fathi Kazerooni

  • Chiharu Sako

  • Spyridon Bakas

  • Michel Bilello

  • Stephen Bagley

  • Ujjwal Baid

  • Steven Brem

  • Robert Lustig

  • MacLean Nasrallah

  • Donald O'Rourke

  • Jill Barnholtz-Sloan

  • Chaitra Badve

  • Andrew Sloan

  • Rajan Jain

  • Matthew Lee

  • Arnab Chakravarti

  • Joshua Palmer

  • William Taylor

  • Santiago Cepeda

  • Adam Dicker

  • Adam Flanders

  • Wenyin Shi

  • Gaurav Shukla

  • Evan Calabrese

  • Jeffrey Rudie

  • Javier Villanueva-Meyer

  • Pamela LaMontagne

  • Daniel Marcus

  • Carmen Balana

  • Jaume Capellades

  • Josep Puig

  • Murat AK

  • Rivka Colen

  • Sung Soo Ahn

  • Jong Hee Chang

  • Yoon Seong Choi

  • Seung-Koo Lee

  • Brent Griffith

  • Laila Poisson

  • Lisa Rogers

  • Thomas Booth

  • Abhishek Mahajan

  • Benedikt Wiestler

  • Christos Davatzikos

Medical Centers

  • University of California, San Francisco, San Francisco, CA

  • Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea

  • Department of Medical Imaging Consorci MAR Parc de Salut, Barcelona, Spain

  • Department of Neuroradiology, Technical University of Munich, Munich, Germany

  • Department of Radiology, Case Western Reserve University and University Hospitals Cleveland Medical Center, Cleveland, USA

  • WASHINGTON UNIVERSITY SCHOOL OF MEDICINE, St Louis, MO, USA

  • Department of Neurosurgery, Henry Ford Health, Detroit, USA

  • Center for Biomedical Informatics and Information Technology and Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA

  • Department of Pathology and Department of Neurosurgery, Case Western Reserve University and University Hospitals Cleveland Medical Center; Seidman Cancer Center and Case Comprehensive Cancer Center, Cleveland, USA

  • Department of Radiology, University of Pittsburgh, Pittsburgh, PA, USA

  • University of Pennsylvania, Philadelphia, PA, USA

  • Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA

  • Department of Radiation Oncology, Christiana Care Health System, Philadelphia, USA

  • The Department of Radiation Oncology, The James Cancer Hospital, Ohio State University Wexner Medical Center, Columbus, OH, USA

  • University Hospital Río Hortega, Valladolid, Spain

  • School of Biomedical Engineering and Imaging Sciences, King’s College, London, United Kingdom

  • Medical Oncology Department, Catalan Institute of Oncology, Barcelona, Spain

  • Department of Radiation Oncology, Sidney Kimmel Cancer Center, Thomas Jefferson University, Philadelphia, PA, USA

  • Department of Radiology (IDI) and Girona Biomedical Research Institute (IDIBGI), Hospital Universitari de Girona Dr Josep Trueta,, Girona, Spain

  • The Ohio State University, Columbus, USA

  • Center for Biomedical Image Computing and Analytics, Department of Radiology, and Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA

  • University of Pittsburgh, Pittsburgh, PA

  • Center for Biomedical Image Computing and Analytics, Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA

  • Department of Radiation Oncology, Thomas Jefferson University Hospital, Philadelphia, PA, USA

  • Department of Public Health Sciences, Center for Bioinformatics, Henry Ford Health System, Detroit, MI, USA

  • Department of Imaging, The Clatterbridge Cancer Centre NHS Foundation Trust, London, United Kingdom

  • Department of Radiology, NYU Grossman School of Medicine, New York, NY, USA

  • Department of Radiology, Sidney Kimmel Cancer Center, Thomas Jefferson University, Philadelphia, PA, USA

Locations

  • United States

  • United Kingdom

  • Republic of South Korea

  • Spain

  • Germany

Companies

  • N/A

Study Components

Therapeutic Area

  • Oncology (ONC)

Disease

  • Glioblastoma

Biomarkers

  • Apparent diffusion coefficient

Drug/Treatment

  • N/A

Outcome

  • N/A

Study Design

  • Multicenteric

  • Cohort

Phase

  • NA

Study Id's

  • N/A

Sponsors

  • N/A

Result

  • N/A

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