Low-contrast-dose liver CT using low monoenergetic images with deep learning-based denoising for assessing hepatocellular carcinoma: a randomized controlled noninferiority trial.

Journal: European radiology
Published Date: Dec 28, 2022

Abstract

OBJECTIVE: Low monoenergetic images obtained using noise-reduction techniques may reduce CT contrast media requirements. We aimed to investigate the effectiveness of low-contrast-dose CT using dual-energy CT and deep learning-based denoising (DLD) techniques in patients at high risk of hepatocellular carcinoma (HCC).

Authors

  • Jae Seok Bae
    Department of Radiology, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Korea.
  • Jeong Min Lee
  • Se Woo Kim
    Department of Radiology, Seoul National University Hospital, Seoul, Korea.
  • Sungeun Park
    Department of Radiology, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea.
  • Seungchul Han
    Department of Radiology, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea.
  • Jeong Hee Yoon
  • Ijin Joo
    Department of Radiology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea.
  • Hyunsook Hong
    Medical Research Collaborating Center, Seoul National University Hospital, Seoul, South Korea.

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