Observational studyJournal of magnetic resonance imaging : JMRI2015
Associations between histologic features of nonalcoholic fatty liver disease (NAFLD) and quantitative diffusion-weighted MRI measurements in adults.
Observational study in Journal of magnetic resonance imaging : JMRI, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 3 of them syntheses that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
38 citing papers in PubMed, 3 syntheses or guidelines pooled it, 67 citations in OpenAlex.
- Comparison of diffusion-weighted imaging and MR elastography in staging liver fibrosis: a meta-analysis.Abdominal radiology (New York) · 2021Pooled it
- Meta-analysis of intravoxel incoherent motion magnetic resonance imaging in differentiating focal lesions of the liver.Medicine · 2018Pooled it
- NASPGHAN Clinical Practice Guideline for the Diagnosis and Treatment of Nonalcoholic Fatty Liver Disease in Children: Recommendations from the Expert Committee on NAFLD (ECON) and the North American Society of Pediatric Gastroenterology, Hepatology and Nutrition (NASPGHAN).Journal of pediatric gastroenterology and nutrition · 2017Guideline
- Prospective validation of imaging and serum diagnostic biomarkers of steatohepatitis and fibrosis in MASLD: the LITMUS Imaging Study.Nature medicine · 2026Article
- Toward Optimized Intravoxel Incoherent Motion (IVIM) and Compartmental T2 Mapping in Abdominal Organs.Magnetic resonance in medicine · 2026Article
- Towards Clinical Translation of Intravoxel Incoherent Motion MRI: Acquisition and Analysis Consensus Recommendations.Journal of magnetic resonance imaging : JMRI · 2026Article
- Development and validation of fat-corrected virtual MR elastography to assess fibrosis stage in metabolic dysfunction-associated steatotic liver disease.Insights into imaging · 2026Article
- Fat-Corrected Non-Gaussian Diffusion MRI for Liver Fibrosis Assessment in Metabolic Dysfunction-Associated Steatotic Liver Disease.Journal of magnetic resonance imaging : JMRI · 2026Article
- Clinical Application of Magnetic Resonance Imaging in the Diagnosis of NAFLDCurrent medical imaging · 2026Review
- Correction to: Comparison of diffusion‑weighted imaging and MR elastography in staging liver fibrosis: a meta‑analysis.Abdominal radiology (New York) · 2023Article
- A novel radiomics signature based on T2-weighted imaging accurately predicts hepatic inflammation in individuals with biopsy-proven nonalcoholic fatty liver disease: a derivation and independent validation study.Hepatobiliary surgery and nutrition · 2022Article
- Updates on Quantitative MRI of Diffuse Liver Disease: A Narrative Review.BioMed research international · 2022Review
- Self-supervised neural network improves tri-exponential intravoxel incoherent motion model fitting compared to least-squares fitting in non-alcoholic fatty liver disease.Frontiers in physiology · 2022Article
- Assessment of Imaging Modalities Against Liver Biopsy in Nonalcoholic Fatty Liver Disease: The Amsterdam NAFLD-NASH Cohort.Journal of magnetic resonance imaging : JMRI · 2021Article
- Gender-specific liver aging and magnetic resonance imaging.Quantitative imaging in medicine and surgery · 2021Article
- Quantitative magnetic resonance imaging for chronic liver disease.The British journal of radiology · 2021Review
- Intravoxel incoherent motion diffusion-weighted MRI for the characterization of inflammation in chronic liver disease.European radiology · 2021Article
- Diffusion-weighted MRI of the liver: challenges and some solutions for the quantification of apparent diffusion coefficient and intravoxel incoherent motion.American journal of nuclear medicine and molecular imaging · 2021Review
- Magnetic Resonance imaging analysis of liver fibrosis and inflammation: overwhelming gray zones restrict clinical use.Abdominal radiology (New York) · 2020Review
- Comparing mono-exponential, bi-exponential, and stretched-exponential diffusion-weighted MR imaging for stratifying non-alcoholic fatty liver disease in a rabbit model.European radiology · 2020Article
Corrections and comments
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Authors and funding
11 authors at 4 institutions in 1 country.
Funding
Abstract
purposeTo investigate in adults the associations between histologic features of nonalcoholic fatty liver disease (NAFLD) and quantitative measures derived from diffusion-weighted imaging (DWI). MATERIALS AND
methodsEighty-nine adults undergoing standard-of-care liver biopsy for NAFLD were recruited for DWI. Biopsies were scored for histologic features of NAFLD. DWI was performed using b-values of 0, 100, and 500 s/mm(2) . Images were reconstructed using either conventional magnitude averaging (CMA) or a method to address bulk motion artifacts (Beta*LogNormal, BLN). The apparent diffusion coefficient (ADC) and the diffusivity (D) and perfusion fraction (F) of the intravoxel incoherent motion (IVIM) model were measured in the right hepatic lobe using both reconstructions. Associations between histologic features and DWI-derived measures were tested statistically with several methods including multiple linear regression.
resultsUsing CMA and BLN reconstructions, respectively, the means (and ranges) were 1.7 (1.1-3.5) and 1.4 (1.0-3.2) × 10(-3) mm(2) /s for ADC, 1.1 (0.84-1.4) and 0.84 (0.53-1.1) × 10(-3) mm(2) /s for D, and 17 and 18 (2.3-35)% for F. For both reconstruction methods, D decreased with steatosis and F decreased with fibrosis (P < 0.05). ADC was not independently associated with any histologic feature.
conclusionSteatosis and fibrosis have significant independent effects on D and F in adults undergoing biopsy for NAFLD.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.