A Preoperative CT-based Multiparameter Deep Learning and Radiomic Model with Extracellular Volume Parameter Images Can Predict the Tumor Budding Grade in Rectal Cancer Patients.

Journal: Academic radiology
Published Date: Mar 6, 2025

Abstract

RATIONALE AND OBJECTIVES: To investigate a computed tomography (CT)-based multiparameter deep learning-radiomic model (DLRM) for predicting the preoperative tumor budding (TB) grade in patients with rectal cancer.

Authors

  • Xi Tang
    GMU-GIBH Joint School of Life Sciences, Guangzhou Medical University and the Institutes of Physical Science and Information Technology, Anhui University, China.
  • Zijian Zhuang
    Department of Medical Imaging, The Affiliated Hospital of Jiangsu University, Zhenjiang 212001, China (X.T., Z.Z., L.J., L.Z.).
  • Li Jiang
    School of Food Science and Engineering, Hefei University of Technology, Hefei, China.
  • Haitao Zhu
    School of Mathematics and Statistics, Shandong Normal University, Ji'nan, 250014, PR China.
  • Dongqing Wang
    Institute of Radiology and Artificial Intelligence, Jiangsu University, Zhenjiang 212000, China (H.Z., D.W., L.Z.).
  • Lirong Zhang
    School of Physical Science and Technology, Inner Mongolia University, Hohhot 010021, China.

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