Application of Quantitative CT and Machine Learning in the Evaluation and Diagnosis of Polymyositis/Dermatomyositis-Associated Interstitial Lung Disease.

Journal: Academic radiology
Published Date:

Abstract

RATIONALE AND OBJECTIVES: To investigate lung changes in patients with polymyositis/dermatomyositis-associated interstitial lung disease (PM/DM-ILD) using quantitative CT and to construct a diagnostic model to evaluate the application of quantitative CT and machine learning in diagnosing PM/DM-ILD.

Authors

  • Kai Yang
    Department of Radiology, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Yanrong Chen
    Department of Medical Imaging, the First Affiliated Hospital of Xi'an Jiaotong University, 277 West Yanta Road, Xi'an, Shaanxi 710061, PR China (K.Y., Y.C., L.H., Y.S., H.H., J.Z., C.J.).
  • Liyu He
    Department of Nephrology, The Second Xiangya Hospital of Central South University; Hunan Key Laboratory of Kidney Disease and Blood Purification, Changsha, Hunan, China.
  • Yadan Sheng
    Department of Medical Imaging, the First Affiliated Hospital of Xi'an Jiaotong University, 277 West Yanta Road, Xi'an, Shaanxi 710061, PR China (K.Y., Y.C., L.H., Y.S., H.H., J.Z., C.J.).
  • He Hei
    Department of Medical Imaging, the First Affiliated Hospital of Xi'an Jiaotong University, 277 West Yanta Road, Xi'an, Shaanxi 710061, PR China (K.Y., Y.C., L.H., Y.S., H.H., J.Z., C.J.).
  • Jingping Zhang
    First Department of Infectious Diseases, The First Affiliated Hospital of China Medical University, Shenyang, China.
  • Chenwang Jin
    Department of Radiology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shannxi 710061, China.