ArticleKorean journal of radiology2022
Cutoff Values for Diagnosing Hepatic Steatosis Using Contemporary MRI-Proton Density Fat Fraction Measuring Methods.
Article in Korean journal of radiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.
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13 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.
- Evaluation of MRI proton density fat fraction in hepatic steatosis: a systematic review and meta-analysis.European radiology · 2025Pooled it
- MRI in MASLD: technical foundations and guideline-based applications.BMJ open gastroenterology · 2026Review
- Diagnostic Value of MR Elastography and MRI-Proton Density Fat Fraction in Cirrhosis Based on Explant Liver Histology.Journal of gastroenterology and hepatology · 2026Article
- Thermoacoustic Ultrasound Assessment of Liver Steatosis-A Novel Approach for MASLD Diagnosis.Diagnostics (Basel, Switzerland) · 2026Article
- Imaging Evaluation for Steatotic Liver Disease.Korean journal of radiology · 2026Review
- Impact of long-term fasting on liver and abdominal adipose tissues monitored by quantitative chemical-shift encoded MRI.Frontiers in nutrition · 2026Article
- Interpretable Machine Learning Models for Early Detection of Metabolic Dysfunction-Associated Steatotic Liver Disease Using Non-Invasive Routine Clinical and Laboratory Data.International journal of general medicine · 2026Article
- Qualitative assessment of hepatic steatosis on modern grayscale ultrasound: more accurate than previously thought?Abdominal radiology (New York) · 2025Article
- Quantification of liver fat fraction using T1-weighted mDixon MRI in young patients with ataxia telangiectasia undergoing whole-body MRI: an exploratory study.Orphanet journal of rare diseases · 2025Article
- Article
- Advanced MRI techniques in abdominal imaging.Abdominal radiology (New York) · 2024Review
- Utilizing fully-automated 3D organ segmentation for hepatic steatosis assessment with CT attenuation-based parameters.European radiology · 2024Article
- Diagnosis and assessment of disease severity in patients with nonalcoholic fatty liver disease.United European gastroenterology journal · 2024Review
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Authors and funding
11 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo propose standardized MRI-proton density fat fraction (PDFF) cutoff values for diagnosing hepatic steatosis, evaluated using contemporary PDFF measuring methods in a large population of healthy adults, using histologic fat fraction (HFF) as the reference standard. MATERIALS AND
methodsA retrospective search of electronic medical records between 2015 and 2018 identified 1063 adult donor candidates for liver transplantation who had undergone liver MRI and liver biopsy within a 7-day interval. Patients with a history of liver disease or significant alcohol consumption were excluded. Chemical shift imaging-based MRI (CS-MRI) PDFF and high-speed T2-corrected multi-echo MR spectroscopy (HISTO-MRS) PDFF data were obtained. By temporal splitting, the total population was divided into development and validation sets. Receiver operating characteristic (ROC) analysis was performed to evaluate the diagnostic performance of the MRI-PDFF method. Two cutoff values with sensitivity > 90% and specificity > 90% were selected to rule-out and rule-in, respectively, hepatic steatosis with reference to HFF ≥ 5% in the development set. The diagnostic performance was assessed using the validation set.
resultsOf 921 final participants (624 male; mean age ± standard deviation, 31.5 ± 9.0 years), the development and validation sets comprised 497 and 424 patients, respectively. In the development set, the areas under the ROC curve for diagnosing hepatic steatosis were 0.920 for CS-MRI-PDFF and 0.915 for HISTO-MRS-PDFF. For ruling-out hepatic steatosis, the CS-MRI-PDFF cutoff was 2.3% (sensitivity, 92.4%; specificity, 63.0%) and the HISTO-MRI-PDFF cutoff was 2.6% (sensitivity, 88.8%; specificity, 70.1%). For ruling-in hepatic steatosis, the CS-MRI-PDFF cutoff was 3.5% (sensitivity, 73.5%; specificity, 88.6%) and the HISTO-MRI-PDFF cutoff was 4.0% (sensitivity, 74.7%; specificity, 90.6%).
conclusionIn a large population of healthy adults, our study suggests diagnostic thresholds for ruling-out and ruling-in hepatic steatosis defined as HFF ≥ 5% by contemporary PDFF measurement methods.
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