Trial reportAbdominal imaging2015
Cross-sectional and longitudinal evaluation of liver volume and total liver fat burden in adults with nonalcoholic steatohepatitis.
Trial report in Abdominal imaging, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
19 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Linearity, Bias, and Precision of Hepatic Proton Density Fat Fraction Measurements by Using MR Imaging: A Meta-Analysis.Radiology · 2018Pooled it
- Assessment of treatment response in non-alcoholic steatohepatitis using advanced magnetic resonance imaging.Alimentary pharmacology & therapeutics · 2017Trial
- Obesity surgery improves metabolic dysfunction-associated steatotic liver disease and type 2 diabetes - MRI and biochemical analysis of liver and pancreas.Surgery open science · 2026Article
- Evaluation of artificial-intelligence-based liver segmentation and its application for longitudinal liver volume measurement.Abdominal radiology (New York) · 2025Article
- Evaluation of artificial-intelligence-based liver segmentation and its application for longitudinal liver volume measurement.Abdominal radiology (New York) · 2025Article
- Adiposity, mortality, and disease risk: insights from bioimpedance analysis and magnetic resonance imaging.BMC medicine · 2025Article
- Signal Intensity Trajectories Clustering for Liver Vasculature Segmentation and Labeling (LiVaS) on Contrast-Enhanced MR Images: A Feasibility Pilot Study.Journal of imaging informatics in medicine · 2024Article
- The Relationship between Liver Volume, Clinicopathological Characteristics and Survival in Patients Undergoing Resection with Curative Intent for Non-Metastatic Colonic Cancer.Tomography (Ann Arbor, Mich.) · 2024Article
- The effect of hepatic steatosis on liver volume determined by proton density fat fraction and deep learning-measured liver volume.European radiology · 2023Article
- MRI Quantification of Placebo Effect in Nonalcoholic Steatohepatitis Clinical Trials.Radiology · 2023Article
- Accuracy and Efficiency of Right-Lobe Graft Weight Estimation Using Deep-Learning-Assisted CT Volumetry for Living-Donor Liver Transplantation.Diagnostics (Basel, Switzerland) · 2022Article
- Article
- A Human REPIN1 Gene Variant: Genetic Risk Factor for the Development of Nonalcoholic Fatty Liver Disease.Clinical and translational gastroenterology · 2020Article
- Automated CT and MRI Liver Segmentation and Biometry Using a Generalized Convolutional Neural Network.Radiology. Artificial intelligence · 2019Article
- Feasibility and agreement of stiffness measurements using gradient-echo and spin-echo MR elastography sequences in unselected patients undergoing liver MRI.The British journal of radiology · 2018Article
- How bariatric surgery affects liver volume and fat density in NAFLD patients.Surgical endoscopy · 2018Article
- Standardized Approach for ROI-Based Measurements of Proton Density Fat Fraction and R2* in the Liver.AJR. American journal of roentgenology · 2017Article
- Liver segmentation: indications, techniques and future directions.Insights into imaging · 2017Review
- Quantitative MRI assessment in metabolic dysfunctionassociated steatotic liver disease: correlation between the MRI-PDFF and liver size.Radiologia brasileiraArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
purposeTo explore the cross-sectional and longitudinal relationships between fractional liver fat content, liver volume, and total liver fat burden.
methodsIn 43 adults with non-alcoholic steatohepatitis participating in a clinical trial, liver volume was estimated by segmentation of magnitude-based low-flip-angle multiecho GRE images. The liver mean proton density fat fraction (PDFF) was calculated. The total liver fat index (TLFI) was estimated as the product of liver mean PDFF and liver volume. Linear regression analyses were performed.
resultsCross-sectional analyses revealed statistically significant relationships between TLFI and liver mean PDFF (R 2 = 0.740 baseline/0.791 follow-up, P < 0.001 baseline/P < 0.001 follow-up), and between TLFI and liver volume (R 2 = 0.352/0.452, P < 0.001/< 0.001). Longitudinal analyses revealed statistically significant relationships between liver volume change and liver mean PDFF change (R 2 = 0.556, P < 0.001), between TLFI change and liver mean PDFF change (R 2 = 0.920, P < 0.001), and between TLFI change and liver volume change (R 2 = 0.735, P < 0.001).
conclusionLiver segmentation in combination with MRI-based PDFF estimation may be used to monitor liver volume, liver mean PDFF, and TLFI in a clinical trial.
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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 Socratic graph.