Advancing Research on Medical Image Perception by Strengthening Multidisciplinary Collaboration.

Journal: JNCI cancer spectrum
Published Date: Jan 5, 2022

Abstract

Medical image interpretation is central to detecting, diagnosing, and staging cancer and many other disorders. At a time when medical imaging is being transformed by digital technologies and artificial intelligence, understanding the basic perceptual and cognitive processes underlying medical image interpretation is vital for increasing diagnosticians' accuracy and performance, improving patient outcomes, and reducing diagnostician burnout. Medical image perception remains substantially understudied. In September 2019, the National Cancer Institute convened a multidisciplinary panel of radiologists and pathologists together with researchers working in medical image perception and adjacent fields of cognition and perception for the "Cognition and Medical Image Perception Think Tank." The Think Tank's key objectives were to identify critical unsolved problems related to visual perception in pathology and radiology from the perspective of diagnosticians, discuss how these clinically relevant questions could be addressed through cognitive and perception research, identify barriers and solutions for transdisciplinary collaborations, define ways to elevate the profile of cognition and perception research within the medical image community, determine the greatest needs to advance medical image perception, and outline future goals and strategies to evaluate progress. The Think Tank emphasized diagnosticians' perspectives as the crucial starting point for medical image perception research, with diagnosticians describing their interpretation process and identifying perceptual and cognitive problems that arise. This article reports the deliberations of the Think Tank participants to address these objectives and highlight opportunities to expand research on medical image perception.

Authors

  • Melissa Treviño
    Behavioral Research Program, National Cancer Institute, Rockville, MD, USA.
  • George Birdsong
    Department of Pathology and Laboratory Medicine, Emory University School of Medicine, Atlanta, GA, USA.
  • Ann Carrigan
    Australian Institute of Health Innovation, Macquarie University, Sydney, NSW, Australia.
  • Peter Choyke
  • Trafton Drew
    Department of Psychology, University of Utah, Salt Lake City, UT, USA.
  • Miguel Eckstein
    Department of Psychological & Brain Science, University of California, Santa Barbara, CA, USA.
  • Anna Fernandez
    Surveillance Research Program, National Cancer Institute, Rockville, MD, USA.
  • Brandon D Gallas
    Division of Imaging Diagnostics, and Software Reliability, US Food and Drug Administration, Silver Spring, MD, USA.
  • Maryellen Giger
    The University of Chicago, 5801 S Ellis Ave, Chicago, Illinois.
  • Stephen M Hewitt
    Journal of Histochemistry & Cytochemistry, Truchas, New Mexico.
  • Todd S Horowitz
    National Cancer Institute.
  • Yuhong V Jiang
    Department of Psychology, University of Minnesota, Minneapolis, MN, USA.
  • Bonnie Kudrick
    Transportation Security Administration, Springfield, VA, USA.
  • Susana Martinez-Conde
    Departments of Ophthalmology, Neurology, and Physiology/Pharmacology, SUNY Downstate Medical Center, Brooklyn, New York.
  • Stephen Mitroff
    Department of Psychology, The George Washington University, Washington, DC, USA.
  • Linda Nebeling
    Behavioral Research Program, National Cancer Institute, Rockville, MD, USA.
  • Joseph Saltz
    Department of Biomedical Informatics, Stony Brook University, Stony Brook, NY, USA.
  • Frank Samuelson
    Division of Imaging Diagnostics, and Software Reliability, US Food and Drug Administration, Silver Spring, MD, USA.
  • Steven E Seltzer
    Radiology Department, Brigham and Women's Hospital, Boston, Massachusetts; Radiology, Harvard Medical School, Boston, Massachusetts.
  • Behrouz Shabestari
    Division of Health Informatics Technologies, National Institute of Biomedical Imaging and Bioengineering, Rockville, MD, USA.
  • Lalitha Shankar
    Cancer Imaging Program, National Cancer Institute, Rockville, MD, USA.
  • Eliot Siegel
    University of Maryland School of Medicine, Department of Diagnostic Radiology and Nuclear Medicine, 504 E. Fort Ave Baltimore, MD 21230.
  • Mike Tilkin
    Chief Information Officer and EVP for Technology (ACR), Reston, Virginia.
  • Jennifer S Trueblood
    Department of Psychology, Vanderbilt University, Nashville, TN, USA.
  • Alison L Van Dyke
    Surveillance Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.
  • Aradhana M Venkatesan
    Medical Physics Graduate Program, MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences, Houston, Texas; Department of Diagnostic Radiology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
  • David Whitney
    Department of Psychology, University of California, Berkeley, CA, USA.
  • Jeremy M Wolfe
    Professor of Ophthalmology & Radiology, Harvard Medical School, and Visual Attention Laboratory, Department of Surgery, Brigham & Women's Hospital, 64 Sidney Street Suite 170, Cambridge, MA 02139-4170, USA. Electronic address: jwolfe@bwh.harvard.edu.

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