CT-based Machine Learning Radiomics Modeling: Survival Prediction and Mechanism Exploration in Ovarian Cancer Patients.

Journal: Academic radiology
PMID: 39827000

Abstract

RATIONALE AND OBJECTIVES: To create a radiomics model based on computed tomography (CT) to predict overall survival in ovarian cancer patients. To combine Rad-score with genomic data to explore the association between gene expression and Rad-score.

Authors

  • Rixin Su
    Department of Chinese Integrative Medicine Oncology, The First Affiliated Hospital of Anhui Medical University, Hefei 230022, China (R.S., Y.Z., X.L., X.L., H.Z., X.H., P.L.).
  • Yu Zhang
    College of Marine Electrical Engineering, Dalian Maritime University, Dalian, China.
  • Xueya Li
    Department of Chinese Integrative Medicine Oncology, The First Affiliated Hospital of Anhui Medical University, Hefei 230022, China (R.S., Y.Z., X.L., X.L., H.Z., X.H., P.L.).
  • Xiaoqin Li
    Department of Pulmonary and Critical Care Medicine, Fujian Provincial Hospital, Fuzhou, China.
  • Huihui Zhang
    The Xi'an Research Institute of High Technology, Xi'an, Shaanxi 710025, PR China.
  • Xiaoyu Huang
    Key Laboratory of Organofluorine Chemistry and Laboratory of Polymer Materials, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, Shanghai 200032, China. Electronic address: xyhuang@sioc.ac.cn.
  • Xudong Liu
    Department of Orthopedics, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Ping Li
    Department of Gastroenterology, Beijing Ditan Hospital, Capital Medical University, Beijing, China.

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