ArticlePLoS computational biology2019
Model-inferred mechanisms of liver function from magnetic resonance imaging data: Validation and variation across a clinically relevant cohort.
Article in PLoS computational biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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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.
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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
9 citing papers in PubMed.
- Pharmacokinetic Modeling of Hepatospecific MRI Contrast Agent Flux in Large Animal Models by Dynamic Contrast-Enhanced MRI.Molecular imaging and biology · 2026Article
- Pharmacokinetic modelling of MRI-based liver function for risk assessment in primary sclerosing cholangitis: a prospective pilot study.European radiology experimental · 2026Article
- Pharmacokinetic modeling of hepatospecific MRI contrast agent flux in large animal models by dynamic contrast-enhanced MRI.Research square · 2026Article
- Review
- Go Fish! Hepatic Uptake of Clinical Hepatospecific Gadolinium-Based MRI Contrast Agents in Zebrafish is Similar to Humans.Molecular imaging and biology · 2025Article
- Species-Specific Hepatic Uptake of [Molecular imaging and biology · 2025Article
- Article
- Comparison of liver scintigraphy and the liver-spleen contrast in Gd-EOB-DTPA-enhanced MRI on liver function tests.Scientific reports · 2021Article
- Hybrid modelling for stroke care: Review and suggestions of new approaches for risk assessment and simulation of scenarios.NeuroImage. Clinical · 2021Review
Corrections and comments
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Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Estimation of liver function is important to monitor progression of chronic liver disease (CLD). A promising method is magnetic resonance imaging (MRI) combined with gadoxetate, a liver-specific contrast agent. For this method, we have previously developed a model for an average healthy human. Herein, we extended this model, by combining it with a patient-specific non-linear mixed-effects modeling framework. We validated the model by recruiting 100 patients with CLD of varying severity and etiologies. The model explained all MRI data and adequately predicted both timepoints saved for validation and gadoxetate concentrations in both plasma and biopsies. The validated model provides a new and deeper look into how the mechanisms of liver function vary across a wide variety of liver diseases. The basic mechanisms remain the same, but increasing fibrosis reduces uptake and increases excretion of gadoxetate. These mechanisms are shared across many liver functions and can now be estimated from standard clinical images.
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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.