Liver Fat Quantification and Steatosis Grading in Fatty Liver Disease by Magnetic Resonance Imaging: Systematic Review and Meta‐Analysis
The analysis revealed moderate to strong correlations between MRI and reference standard FF, with MRI-PDFF demonstrating the highest diagnostic accuracy. There was significant variability in results across studies due to differences in techniques, field strength, and study design. The findings underscore the need for standardized performance metrics and reporting practices to enhance comparability, optimize clinical utility, and improve diagnostic uniformity for hepatic steatosis.
Authors
- Renke Maas (ORCID: https://orcid.org/0000-0002-5498-9761)
- Lejla Alić (ORCID: https://orcid.org/0000-0001-6487-6958)
- Jim Ji (ORCID: https://orcid.org/0000-0001-7147-7920)
- Feng Zhao (ORCID: https://orcid.org/0000-0002-4441-9992)
- Jurgen H. Runge (ORCID: https://orcid.org/0000-0003-4190-3890)
- Xiang‐Bai Chen
- Sven J. E. Ermans
- Layan I. Al‐Huneidi (ORCID: https://orcid.org/0000-0003-2658-1555)
Institutions
- Georgia Institute of Technology (US)
- University Medical Center Utrecht (NL)
- Baylor Scott & White Medical Center - Temple (US)
- Baylor Scott & White Health (US)
- Baylor Scott and White Hillcrest Medical Center (US)
- Baylor Scott & White All Saints Medical Center (US)
- Texas A&M University at Qatar (QA)
- Texas A&M University (US)
- University of Twente (NL)
Publication Details
- Journal
- Journal of Gastroenterology and Hepatology
- Published
- 2025-10-21
- DOI
- https://doi.org/10.1111/jgh.70086
- Citations
- 4
- Primary Topic
- Liver Disease Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 5.42
Funders
- Georgia Institute of Technology