Diagnosis of moderate-to-severe hepatic steatosis using deep learning-based automated attenuation measurements on contrast-enhanced CT.

Journal: Abdominal radiology (New York)
Published Date:

Abstract

PURPOSE: To evaluate the utility of deep learning-based automated attenuation measurements on contrast-enhanced CT (CECT) for diagnosing moderate-to-severe hepatic steatosis (HS), using histology as reference standard.

Authors

  • Hae Young Kim
    Department of Radiology, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.
  • Kyung Jin Lee
    Department of Chemical Engineering and Applied Chemistry, College of Engineering, Chungnam National University, Daejeon, 34134, Republic of Korea.
  • Seung Soo Lee
    From the Department of Computer Science, Hanyang University, Seoul, Republic of Korea (K.J.C.); Department of Radiology and Research Institute of Radiology (J.K.J., S.S.L., Y.S.S., W.H.S., H.S.K., J.Y., J.H.K., S.Y.K.) and Department of Diagnostic Pathology (E.S.Y.), Asan Medical Center, University of Ulsan College of Medicine, 88 Olympic-ro 43-gil, Songpa-gu, Seoul 05505, South Korea; Department of Radiology, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea (J.Y.C.); Department of Radiology, Haeundae Paik Hospital, Inje University College of Medicine, Busan, Korea (Y.L.); and Department of Radiology, Hanyang University Medical Center, Hanyang University School of Medicine, Seoul, Korea (B.K.K.).
  • Se Jin Choi
    From the Departments of Radiology and Research Institute of Radiology (S.J.C., S.S.L., H.J.P., S.H.C., D.W.K., J.K.J.), Oncology (K.H.J.), Clinical Epidemiology and Biostatistics (J.B.L.), and Pathology (H.J.K.), University of Ulsan College of Medicine, Asan Medical Center, 88 Olympic-ro 43-gil, Songpa-gu, Seoul 05505, Republic of Korea.
  • Dong Hwan Kim
    Department of Physical Medicine and Rehabilitation, College of Medicine, Kyung Hee University, Seoul, Korea.
  • Subin Heo
    Department of Radiology, Ajou University School of Medicine, Wonchon-Dong, Yeongtong-Gu, Suwon, 443-380, South Korea.
  • Hyeon Ji Jang
    Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
  • Sang Hyun Choi
    From the Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine.