A 3D deep learning model based on MRI for predicting lymphovascular invasion in rectal cancer.

Journal: Medical physics
Published Date:

Abstract

BACKGROUND: The assessment of lymphovascular invasion (LVI) is crucial in the management of rectal cancer; However, accurately evaluating LVI preoperatively using imaging remains challenging. Recent advances in radiomics have created opportunities for developing more accurate diagnostic tools.

Authors

  • Tangjuan Wang
    Department of Radiology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, China.
  • Chuanyu Chen
    Department of Radiology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, China.
  • Chang Liu
    Key Lab of Cell Differentiation and Apoptosis of Ministry of Education, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Shaopeng Li
    State Key Laboratory for Modification of Chemical Fibers and Polymer Materials, College of Materials Science and Engineering, Donghua University, Shanghai, 201620, China.
  • Peng Wang
    Neuroengineering Laboratory, School of Biomedical Engineering and Technology, Tianjin Medical University, Tianjin, China.
  • Dawei Yin
    College of Agricultural Science and Technology, Heilongjiang Bayi Agricultural University, Daqing 163319, China.
  • Ying Liu
    The First School of Clinical Medicine, Lanzhou University, Lanzhou, China.

Keywords

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