Multi-modality radiomics diagnosis of breast cancer based on MRI, ultrasound and mammography.

Journal: BMC medical imaging
Published Date: Jul 4, 2025

Abstract

OBJECTIVE: To develop a multi-modality machine learning-based radiomics model utilizing Magnetic Resonance Imaging (MRI), Ultrasound (US), and Mammography (MMG) for the differentiation of benign and malignant breast nodules.

Authors

  • Jiao Wu
    College of Business Administration, Central Michigan University, Mount Pleasant, MI, United States.
  • Yongxin Li
    Department of Otorhinolaryngology Head and Neck Surgery, Beijing Tongren Hospital, Capital Medical University, Beijing, China.
  • Wanqing Gong
    Department of Radiology, The First College of Clinical Medical Science, Yichang Central People's Hospital, ChinaThree Gorges University, Yichang, 443003, China.
  • Qian Li
    Emergency and Critical Care Center, Department of Emergency Medicine, Zhejiang Provincial People's Hospital, People's Hospital of Hangzhou Medical College, Hangzhou, Zhejiang, China.
  • Xue Han
    College of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China.
  • Tingting Zhang
    Department of Environmental Science and Engineering, College of Chemical Engineering, Beijing University of Chemical Technology, Beijing 100029, China. Electronic address: zhangtt@mail.buct.edu.cn.

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