Prediction of placenta accreta spectrum by combining deep learning and radiomics using T2WI: a multicenter study.

Journal: Abdominal radiology (New York)
Published Date:

Abstract

PURPOSE: To achieve prenatal prediction of placenta accreta spectrum (PAS) by combining clinical model, radiomics model, and deep learning model using T2-weighted images (T2WI), and to objectively evaluate the performance of the prediction through multicenter validation.

Authors

  • Zhengjie Ye
    Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo, 315211, China.
  • Rongrong Xuan
    Affiliated Hospital of Medical School, Ningbo University, Ningbo 315020, China.
  • Menglin Ouyang
    Affiliated Hospital of Medical School, Ningbo University, Ningbo 315020, China.
  • Yutao Wang
    Affiliated Hospital of Medical School, Ningbo University, Ningbo 315020, China.
  • Jian Xu
    Department of Cardiology, Lishui Central Hospital and the Fifth Affiliated Hospital of Wenzhou Medical University, Lishui, China.
  • Wei Jin
    Department of Cardiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 Ruijin 2nd Road, Shanghai, 200025, PR China; Institute of Cardiovascular Diseases, Shanghai Jiao Tong University School of Medicine, 197 Ruijin 2nd Road, Shanghai, 200025, PR China. Electronic address: jinwei1125@126.com.