Deep learning radiomics model based on breast ultrasound video to predict HER2 expression status.

Journal: Frontiers in endocrinology
Published Date: Apr 18, 2023

Abstract

PURPOSE: The detection of human epidermal growth factor receptor 2 (HER2) expression status is essential to determining the chemotherapy regimen for breast cancer patients and to improving their prognosis. We developed a deep learning radiomics (DLR) model combining time-frequency domain features of ultrasound (US) video of breast lesions with clinical parameters for predicting HER2 expression status.

Authors

  • Meng-Yao Quan
    Department of Ultrasonography, Fudan University Shanghai Cancer Center, Shanghai, China.
  • Yun-Xia Huang
    Department of Ultrasonography, Fudan University Shanghai Cancer Center, Shanghai, China.
  • Chang-Yan Wang
    Laboratory of The Smart Medicine and AI-based Radiology Technology (SMART), School of Communication and Information Engineering, Shanghai University, Shanghai, China.
  • Qi Zhang
    Department of Gastroenterology, The Affiliated Hospital of Qingdao University, Qingdao, China.
  • Cai Chang
    Department of Ultrasound, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.
  • Shi-Chong Zhou
    Department of Ultrasonography, Fudan University Shanghai Cancer Center, Shanghai, China.

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