Preoperative CECT-Based Multitask Model Predicts Peritoneal Recurrence and Disease-Free Survival in Advanced Ovarian Cancer: A Multicenter Study.

Journal: Academic radiology
Published Date: May 1, 2024

Abstract

RATIONALE AND OBJECTIVES: Peritoneal recurrence is the predominant pattern of recurrence in advanced ovarian cancer (AOC) and portends a dismal prognosis. Accurate prediction of peritoneal recurrence and disease-free survival (DFS) is crucial to identify patients who might benefit from intensive treatment. We aimed to develop a predictive model for peritoneal recurrence and prognosis in AOC.

Authors

  • Rui Yin
    Department of Health Outcomes and Biomedical Informatics, University of Florida, Gainesville, College of Medicine, FL, USA. Electronic address: ruiyin@ufl.edu.
  • Zhaoxiang Dou
    Department of Breast Imaging, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, Tianjin 300060, China (Y.G., Z.D., W.M.).
  • Yanyan Wang
    College of Mathematics and Information Science, Henan Normal University, Xinxiang, 453007, China. Electronic address: yanyanwangmail@126.com.
  • Qian Zhang
    The Neonatal Intensive Care Unit, Peking Union Medical College Hospital, Peking, China.
  • Yijun Guo
  • Yigeng Wang
    Department of Radiology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, Tianjin, China (Y.W.).
  • Ying Chen
    Department of Endocrinology and Metabolism, Fudan Institute of Metabolic Diseases, Zhongshan Hospital, Fudan University, Shanghai, China.
  • Chao Zhang
    School of Information Engineering, Suqian University, Suqian, Jiangsu, China.
  • Huiyang Li
    Department of Gynecology and Obstetrics, Tianjin Medical University General Hospital, Tianjin, China (H.L.).
  • Xiqi Jian
    School of Biomedical Engineering & Technology, Tianjin Medical University, Tianjin, China (R.Y., X.J.).
  • Lisha Qi
    Department of Pathology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, Tianjin, China (L.Q.).
  • Wenjuan Ma
    Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, Huanhuxi Road, Hexi District, Tianjin 300060, China. Electronic address: mawenjuan2008@163.com.

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