A High-resolution T2WI-based Deep Learning Model for Preoperative Discrimination Between T2 and T3 Rectal Cancer: A Multicenter Study.

Journal: Academic radiology
Published Date: Apr 11, 2025

Abstract

RATIONALE AND OBJECTIVES: To construct a deep learning model (DL) based on high-resolution T2-weighted images for preoperative differentiation between T2 and T3 stage rectal cancer (RC), and to compare its performance with experienced radiologists.

Authors

  • Yanmei Lin
    Guangxi Key Lab of Human-Machine Interaction and Intelligent Decision, Nanning Normal University, No. 175, Mingxiu East Road, Xixiang Tang District, Nanning 530001, China.
  • Ying Liu
    The First School of Clinical Medicine, Lanzhou University, Lanzhou, China.
  • Xiao Zhang
    Merck & Co., Inc., Rahway, NJ, USA.
  • Tangli Zhong
    Department of Radiology, Mianyang Central Hospital, Mianyang, Sichuan, China (T.Z.).
  • Fubi Hu
    Department of Radiology, The First Affiliated Hospital of Chengdu Medical College, Chengdu, Sichuan, China.

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