Deep learning-based radiomic nomograms for predicting Ki67 expression in prostate cancer.

Journal: BMC cancer
Published Date: Jul 8, 2023

Abstract

BACKGROUND: To explore the value of a multiparametric magnetic resonance imaging (MRI)-based deep learning model for the preoperative prediction of Ki67 expression in prostate cancer (PCa).

Authors

  • Shuitang Deng
    Department of Radiology, Tongde Hospital of Zhejiang Province, No. 234 Gucui Road, Zhejiang Province, 310012, Hangzhou, China.
  • Jingfeng Ding
    Department of Radiology, Shanghai Putuo District People's Hospital, Shanghai, China.
  • Hui Wang
    Department of Vascular Surgery, Xuanwu Hospital, Capital Medical University, Beijing, China.
  • Guoqun Mao
    Department of Radiology, Tongde Hospital of Zhejiang Province, No. 234 Gucui Road, Zhejiang Province, 310012, Hangzhou, China.
  • Jing Sun
    Department of Gastroenterology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Jinwen Hu
    Department of Radiology, Shanghai Putuo District People's Hospital, Shanghai, China.
  • Xiandi Zhu
    Department of Radiology, Tongde Hospital of Zhejiang Province, No. 234 Gucui Road, Zhejiang Province, 310012, Hangzhou, China.
  • Yougen Cheng
    Department of Radiology, Tongde Hospital of Zhejiang Province, No. 234 Gucui Road, Zhejiang Province, 310012, Hangzhou, China.
  • Genghuan Ni
    Department of Radiology, The Second Affiliated Hospital of Jiaxing University, Jiaxing, Zhejiang Province, China.
  • Weiqun Ao
    Department of Radiology, Tongde Hospital of Zhejiang Province, No. 234 Gucui Road, Zhejiang Province, 310012, Hangzhou, China. 78123858@qq.com.

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