Machine learning based local recurrence prediction in colorectal cancer using polarized light imaging.

Journal: Journal of biomedical optics
Published Date: Nov 23, 2023

Abstract

SIGNIFICANCE: Current treatment for stage III colorectal cancer (CRC) patients involves surgery that may not be sufficient in many cases, requiring additional adjuvant systemic therapy. Identification of this latter cohort that is likely to recur following surgery is key to better personalized therapy selection, but there is a lack of proper quantitative assessment tools for potential clinical adoption.

Authors

  • Anamitra Majumdar
    University of Toronto, Department of Medical Biophysics, Toronto, Ontario, Canada.
  • Jigar Lad
    McMaster University, Department of Physics and Astronomy, Hamilton, Ontario, Canada.
  • Kseniia Tumanova
    University of Toronto, Department of Medical Biophysics, Toronto, Ontario, Canada.
  • Stefano Serra
    University of Toronto, Department of Laboratory Medicine and Pathobiology, Toronto, Ontario, Canada.
  • Fayez Quereshy
    University of Toronto, Department of Laboratory Medicine and Pathobiology, Toronto, Ontario, Canada.
  • Mohammadali Khorasani
    University of British Columbia, Department of Surgery, Victoria, British Columbia, Canada.
  • Alex Vitkin
    Department of Medical Biophysics, University of Toronto, Toronto, Ontario, M5G 1L7, Canada.

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