Machine learning models for prediction of NPVR ≥80% with HIFU ablation for uterine fibroids.

Journal: International journal of hyperthermia : the official journal of European Society for Hyperthermic Oncology, North American Hyperthermia Group
PMID: 40122145

Abstract

BACKGROUND: Currently high-intensity focused ultrasound (HIFU) is widely used to treat uterine fibroids (UFs). The aim of this study is to develop a machine learning model that can accurately predict the efficacy of HIFU ablation for UFs, assisting the preoperative selection of suitable patients with UFs.

Authors

  • Meijie Yang
    College of Medical Informatics, Chongqing Medical University, Chongqing, China.
  • Ying Chen
    Department of Endocrinology and Metabolism, Fudan Institute of Metabolic Diseases, Zhongshan Hospital, Fudan University, Shanghai, China.
  • Xue Zhou
    Biomedical Information Engineering Lab, The University of Aizu.
  • Renqiang Yu
    Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China.
  • Nannan Huang
    Department of Prosthodontics, Stomatological Hospital of Chongqing Medical University, Chongqing, People's Republic of China.
  • Jinyun Chen
    State Key Laboratory of Ultrasound in Medicine and Engineering, Chongqing Medical University, Chongqing, China.

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