Artificial Intelligence for Response Assessment in Neuro Oncology (AI-RANO), part 1: review of current advancements.

Journal: The Lancet. Oncology
Published Date:

Abstract

The development, application, and benchmarking of artificial intelligence (AI) tools to improve diagnosis, prognostication, and therapy in neuro-oncology are increasing at a rapid pace. This Policy Review provides an overview and critical assessment of the work to date in this field, focusing on diagnostic AI models of key genomic markers, predictive AI models of response before and after therapy, and differentiation of true disease progression from treatment-related changes, which is a considerable challenge based on current clinical care in neuro-oncology. Furthermore, promising future directions, including the use of AI for automated response assessment in neuro-oncology, are discussed.

Authors

  • Javier E Villanueva-Meyer
    1 Department of Radiology and Biomedical Imaging, University of California, San Francisco, 505 Parnassus Ave, L-352, San Francisco, CA 94143.
  • Spyridon Bakas
    Perelman School of Medicine, Philadelphia, PA, USA.
  • Pallavi Tiwari
    Department of Radiology, University of Wisconsin, Madison, WI, USA.
  • Janine M Lupo
    Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA; UCSF/UC Berkeley Graduate Group in Bioengineering, USA. Electronic address: janine.lupo@ucsf.edu.
  • Evan Calabrese
    Department of Radiology and Biomedical Imaging, University of California At San Francisco, 350 Parnassus Ave, Suite 307H, San Francisco, CA, 94143-0628, USA. evan.calabrese@ucsf.edu.
  • Christos Davatzikos
    Artificial Intelligence in Biomedical Imaging Laboratory (AIBIL), Center for and Data Science for Integrated Diagnostics (AID), Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
  • Wenya Linda Bi
    Department of Neurosurgery, Brigham and Women's Hospital, Boston, Massachusetts.
  • Marwa Ismail
    Department of Radiology, School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA.
  • Hamed Akbari
    Center for Biomedical Image Computing and Analytics, University of Pennsylvania, Philadelphia.
  • Philipp Lohmann
    Institute of Neuroscience and Medicine (INM-4), Forschungszentrum Juelich, Juelich, Germany.
  • Thomas C Booth
    School of Biomedical Engineering and Imaging Sciences, King's College London, St. Thomas' Hospital, London, United Kingdom.
  • Benedikt Wiestler
    Department of Neuroradiology, Klinikum rechts der Isar, Technical University of Munich (TUM), Ismaninger Straße 22, 81675 Munich, Germany; Deutsches Konsortium für Translationale Krebsforschung (DKTK), Partner Site Munich, Germany.
  • Hugo J W L Aerts
    Department of Radiation Oncology, Brigham and Women's Hospital, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, United States.
  • Ghulam Rasool
    Moffitt Cancer Center, Tampa, FL, USA.
  • Joerg C Tonn
    Department of Neurosurgery, Ludwig-Maximilians-University, Munich, Germany; German Cancer Consortium, Partner Site Munich, Munich, Germany.
  • Martha Nowosielski
    Neurology Clinic, Heidelberg University Hospital, Heidelberg, Germany; Department of Neurology, Medical University Innsbruck, Innsbruck, Austria.
  • Rajan Jain
    1 Department of Radiology, New York University Langone Medical Center, 660 1st Ave, Rm 336, New York, NY 10016.
  • Rivka R Colen
    Department of Diagnostic Radiology, University of Texas MD Anderson Cancer Center, Houston, TX, USA.
  • Sarthak Pati
    Perelman School of Medicine, Philadelphia, PA, USA.
  • Ujjwal Baid
    Perelman School of Medicine, Philadelphia, PA, USA.
  • Philipp Vollmuth
    Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany. Electronic address: philipp.vollmuth@med.uni-heidelberg.de.
  • David Macdonald
    London Regional Cancer Programme, London, ON, Canada.
  • Michael A Vogelbaum
    Department of Neurosurgery, H Lee Moffitt Cancer Center & Research Institute, Tampa, FL, USA; Department of Machine Learning, H Lee Moffitt Cancer Center & Research Institute, Tampa, FL, USA.
  • Susan M Chang
    Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA.
  • Raymond Y Huang
    Department of Radiology, Brigham and Women's Hospital, Boston, Massachusetts. kalpathy@nmr.mgh.harvard.edu yangli762@gmail.com ryhuang@partners.org.
  • Norbert Galldiks
    Institute of Neuroscience and Medicine (INM-3, -4), Research Center Juelich, Wilhelm-Johnen-Straße, 52428, Juelich, Germany.