Low dose of contrast agent and low radiation liver computed tomography with deep-learning-based contrast boosting model in participants at high-risk for hepatocellular carcinoma: prospective, randomized, double-blind study.

Journal: European radiology
PMID: 36934202

Abstract

OBJECTIVE: To investigate the image quality and lesion conspicuity of a deep-learning-based contrast-boosting (DL-CB) algorithm on double-low-dose (DLD) CT of simultaneous reduction of radiation and contrast doses in participants at high-risk for hepatocellular carcinoma (HCC).

Authors

  • Hyo-Jin Kang
    Department of Radiology and the Institute of Radiation Medicine, Seoul National University Hospital, Seoul, Republic of Korea.
  • Jeong Min Lee
  • Chulkyun Ahn
    Department of Transdisciplinary Studies, Graduate School of Convergence Science and Technology, Seoul National University, Seoul, Korea.
  • Jae Seok Bae
    Department of Radiology, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Korea.
  • Seungchul Han
    Department of Radiology, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea.
  • Se Woo Kim
    Department of Radiology, Seoul National University Hospital, Seoul, Korea.
  • Jeong Hee Yoon
  • Joon Koo Han
    Department of Radiology, Seoul National University Hospital, 101 Daehangno, Jongno-Gu, Seoul, 03080, Korea.

Keywords

External Resources

Popular Topics
Recent Journals