RESOLVE-DWI-based deep learning nomogram for prediction of normal-sized lymph node metastasis in cervical cancer: a preliminary study.

Journal: BMC medical imaging
Published Date: Dec 17, 2022

Abstract

BACKGROUND: It is difficult to predict normal-sized lymph node metastasis (LNM) in cervical cancer clinically. We aimed to investigate the feasibility of using deep learning (DL) nomogram based on readout segmentation of long variable echo-trains diffusion weighted imaging (RESOLVE-DWI) and related patient information to preoperatively predict normal-sized LNM in patients with cervical cancer.

Authors

  • Weiliang Qian
    Department of Radiology, The First Affiliated Hospital of Soochow University, No.188 Shizi Street, Suzhou, 215006, Jiangsu, People's Republic of China.
  • Zhisen Li
    Department of Radiology, The Affiliated Suzhou Hospital of Nanjing Medical University, No.26 Daoqian Street, Suzhou, 215002, Jiangsu, People's Republic of China.
  • Weidao Chen
    Beijing Infervision Technology Co. Ltd., Beijing, China.
  • Hongkun Yin
    Beijing Infervision Technology Co. Ltd., Beijing, 100025, China.
  • Jibin Zhang
    Department of Radiology, The Affiliated Suzhou Hospital of Nanjing Medical University, No.26 Daoqian Street, Suzhou, 215002, Jiangsu, People's Republic of China.
  • Jianming Xu
    Department of Radiology, The Affiliated Suzhou Hospital of Nanjing Medical University, No.26 Daoqian Street, Suzhou, 215002, Jiangsu, People's Republic of China.
  • Chunhong Hu
    Department of Oncology, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.

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