Deep Learning-Accelerated Non-Contrast Abbreviated Liver MRI for Detecting Malignant Focal Hepatic Lesions: Dual-Center Validation
The AMRI<sub>DL</sub> protocol offers comparable sensitivity for detecting malignant focal lesions, including HCC while significantly enhancing image quality and reducing scan time by approximately 50% compared to AMRI<sub>STD</sub>.
Authors
- Thomas Benkert (ORCID: https://orcid.org/0000-0002-3794-5580)
- Moon Hyung Choi (ORCID: https://orcid.org/0000-0001-5962-4772)
- Dominik Nickel (ORCID: https://orcid.org/0000-0002-0360-7233)
- Sungjin Yoon (ORCID: https://orcid.org/0000-0002-7030-841X)
- So Hyun Park (ORCID: https://orcid.org/0000-0001-9935-2863)
- Bohyun Kim (ORCID: https://orcid.org/0000-0003-1157-415X)
- Young Joon Lee (ORCID: https://orcid.org/0000-0001-8309-0272)
- Hyunsoo Lee (ORCID: https://orcid.org/0000-0002-0197-8460)
Institutions
- Gachon University (KR)
- Siemens Healthineers (Germany) (DE)
- The Catholic University of Korea Seoul St. Mary's Hospital (KR)
- Catholic University of Korea (KR)
Publication Details
- Journal
- Korean Journal of Radiology
- Published
- 2025-01-01
- DOI
- https://doi.org/10.3348/kjr.2024.0862
- Citations
- 7
- Primary Topic
- Hepatocellular Carcinoma Treatment and Prognosis
- Type
- article
- Field-Weighted Citation Impact
- 9.25
Funders
- National Research Foundation
- National Research Foundation of Korea
- Siemens Healthineers