Deep Learning-Based Model for Identifying Tumors in Endoscopic Images From Patients With Locally Advanced Rectal Cancer Treated With Total Neoadjuvant Therapy.

Journal: Diseases of the colon and rectum
Published Date: Apr 1, 2022

Abstract

BACKGROUND: A barrier to the widespread adoption of watch-and-wait management for locally advanced rectal cancer is the inaccuracy and variability of identifying tumor response endoscopically in patients who have completed total neoadjuvant therapy (chemoradiotherapy and systemic chemotherapy).

Authors

  • Hannah M Thompson
    Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York.
  • Jin K Kim
    Division of Urology, The Hospital for Sick Children, 555 University Avenue, Toronto, ON, M5G 1X8, Canada.
  • Rosa M Jiménez-Rodríguez
    Department of General and Digestive Surgery, Colorectal Unit, Hospital Universitario Virgen del Rocío, Sevilla, Spain. ros_j_r@hotmail.com.
  • Julio Garcia-Aguilar
    Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York.
  • Harini Veeraraghavan
    Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY; veerarah@mskcc.org.

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