Using machine learning to develop preoperative model for lymph node metastasis in patients with bladder urothelial carcinoma.

Journal: BMC cancer
PMID: 38872141

Abstract

BACKGROUND: Lymph node metastasis (LNM) is associated with worse prognosis in bladder urothelial carcinoma (BUC) patients. This study aimed to develop and validate machine learning (ML) models to preoperatively predict LNM in BUC patients treated with radical cystectomy (RC).

Authors

  • Junjie Ji
    Department of Urology, The Affiliated Hospital of Qingdao University, Qingdao, China.
  • Tianwei Zhang
  • Ling Zhu
    Institute of Information on Traditional Chinese Medicine, China Academy of Chinese Medical Sciences, Beijing 100700, China. Electronic address: jjzhuling@163.com.
  • Yu Yao
    Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, ‡School of Computer Science and Technology, and §Center of Information Support & Assurance Technology, Anhui University , Hefei, 230601 Anhui, China.
  • Jingchang Mei
    Department of Urology, The Affiliated Hospital of Qingdao University, Qingdao, China.
  • Lijiang Sun
    Department of Urology, The Affiliated Hospital of Qingdao University, Qingdao, China.
  • Guiming Zhang
    Department of Urology, The Affiliated Hospital of Qingdao University, Qingdao, China.

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