ArticleEuropean radiology2023
Evaluation of proton density fat fraction (PDFF) obtained from a vendor-neutral MRI sequence and MRQuantif software.
Article in European radiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
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Who cites it
11 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Evaluation of MRI proton density fat fraction in hepatic steatosis: a systematic review and meta-analysis.European radiology · 2025Pooled it
- Comparison of hepatic iron quantification by MRI between 1.5 and 3 T, using different methods and conversion formulas.European radiology · 2026Article
- [European journal of nuclear medicine and molecular imaging · 2026Article
- Correlation analysis and diagnostic performance of CT/MRI fat quantification parameters in metabolic dysfunction-associated steatotic liver disease.Frontiers in medicine · 2026Article
- Validation of Velacur Liver Stiffness and Attenuation in Patients With Metabolic Dysfunction-Associated Steatotic Liver Disease.Gastro hep advances · 2026Article
- Diagnostic accuracy of transient elastography in MASLD is independent of MRI-PDFF steatosis in a multicenter study.JHEP reports : innovation in hepatology · 2025Article
- Longitudinal assessment of changes in muscle composition using proton density fat fraction and T2* in patients with and without incidental vertebral compression fractures.Frontiers in endocrinology · 2025Article
- Comparison of MR Spectroscopy, 2-Point Dixon, and Multi-Echo T2* Sequences in Assessing Hepatic Fat Fraction Across a Diverse Range of Body Mass Index (BMI) and Waist Circumference Ratio (WCR) Values.Diabetes, metabolic syndrome and obesity : targets and therapy · 2025Article
- Linearity and bias of proton density fat fraction across the full dynamic range of 0-100%: a multiplatform, multivendor phantom study using 1.5T and 3T MRI at two sites.Magma (New York, N.Y.) · 2024Article
- The Calculation and Evaluation of an Ultrasound-Estimated Fat Fraction in Non-Alcoholic Fatty Liver Disease and Metabolic-Associated Fatty Liver Disease.Diagnostics (Basel, Switzerland) · 2023Article
- Quantification of hepatic fat: evaluation of different magnetic resonance imaging measurement strategies in cases of homogeneous and heterogeneous distribution.Radiologia brasileiraArticle
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Authors and funding
14 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo validate the proton density fat fraction (PDFF) obtained by the MRQuantif software from 2D chemical shift encoded MR (CSE-MR) data in comparison with the histological steatosis data.
methodsThis study, pooling data from 3 prospective studies spread over time between January 2007 and July 2020, analyzed 445 patients who underwent 2D CSE-MR and liver biopsy. MR derived liver iron concentration (MR-LIC) and PDFF was calculated using the MRQuantif software. The histological standard steatosis score (SS) served as reference. In order to get a value more comparable to PDFF, histomorphometry fat fraction (HFF) were centrally determined for 281 patients. Spearman correlation and the Bland and Altman method were used for comparison.
resultsStrong correlations were found between PDFF and SS (r
conclusionThe PDFF obtained by MRQuantif from a 2D CSE-MR sequence is highly correlated with the steatosis score and very close to the fat fraction estimated by histomorphometry. Liver iron overload reduced the performance of steatosis quantification and joint quantification is recommended. This device-independent method can be particularly useful for multicenter studies. CLINICAL RELEVANCE STATEMENT: The quantification of liver steatosis using a vendor-neutral 2D chemical-shift MR sequence, processed by MRQuantif, is well correlated to steatosis score and histomorphometric fat fraction obtained from biopsy, whatever the magnetic field and the MR device used. KEY POINTS: • The PDFF measured by MRQuantif from 2D CSE-MR sequence data is highly correlated to hepatic steatosis. • Steatosis quantification performance is reduced in case of significant hepatic iron overload. • This vendor-neutral method may allow consistent estimation of PDFF in multicenter studies.
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