Assessment of idiopathic inflammatory myopathy using a deep learning method for muscle T2 mapping segmentation.

Journal: European radiology
Published Date:

Abstract

OBJECTIVE: To investigate the utility of an automatic deep learning (DL) method for segmentation of T2 maps in patients with idiopathic inflammatory myopathy (IIM) against healthy controls, and also the association of quantitative T2 values in patients with laboratory and pulmonary findings.

Authors

  • Fengdan Wang
    Department of Radiology, Peking Union Medical College Hospital, Beijing, China.
  • Shuang Zhou
    NHC Key Laboratory of Food Safety Risk Assessment, China National Center for Food Safety Risk Assessment, Beijing 100021, PR China. Electronic address: szhoupku@gmail.com.
  • Bo Hou
    Department of Radiology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
  • Francesco Santini
    Division of Radiological Physics, Department of Radiology, University Hospital Basel, Basel, Switzerland.
  • Ling Yuan
    Department of Obstetrics, Shanghai First Maternity and Infant Hospital, Tongji University School of Medicine, Shanghai 201204, China.
  • Ye Guo
    Department of Clinical Laboratory, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
  • Jinxia Zhu
    Institute of Land and Urban-Rural Development, Zhejiang University of Finance and Economics, Hangzhou 310018, China.
  • Tom Hilbert
    Advanced Clinical Imaging Technology, Siemens Healthcare AG, Lausanne, Switzerland.
  • Tobias Kober
    Department of Radiology, Lausanne University Hospital and University of Lausanne, Switzerland, Lausanne, Switzerland.
  • Yan Zhang
    Affiliated Hospital of Liaoning University of Traditional Chinese Medicine, Shenyang, 110032, China.
  • Qian Wang
    Department of Radiation Oncology, China-Japan Union Hospital of Jilin University, Changchun, China.
  • Yan Zhao
    Emergency Center, Hubei Clinical Research Center for Emergency and Resuscitaion, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, China.
  • Zhengyu Jin
    Departments of Radiology, Peking Union Medical College Hospital, Beijing.