Peritoneal cytology predicting distant metastasis in uterine carcinosarcoma: machine learning model development and validation.

Journal: World journal of surgical oncology
PMID: 40287676

Abstract

OBJECTIVE: This study develops and validates a machine learning model using peritoneal cytology to predict distant metastasis in uterine carcinosarcoma, aiding clinical decision-making.

Authors

  • Qiaoming Lin
    Department of Gynecology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, N0.420 Fuma Road, Fuzhou, Fujian, 350014, China.
  • Qi Guan
    Department of Gynecology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, N0.420 Fuma Road, Fuzhou, Fujian, 350014, China.
  • Danru Chen
    Department of Gynecology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, N0.420 Fuma Road, Fuzhou, Fujian, 350014, China.
  • Lilan Li
    Department of Gynecology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, N0.420 Fuma Road, Fuzhou, Fujian, 350014, China.
  • Yibin Lin
    Department of Gynecology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, N0.420 Fuma Road, Fuzhou, Fujian, 350014, China. linyibin@fjmu.edu.cn.

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