ReviewThe British journal of radiology2021
Quantitative magnetic resonance imaging for chronic liver disease.
Review in The British journal of radiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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
15 citing papers in PubMed.
- Hepatic steatosis in humans is associated with preserved glucagon action on amino acid metabolism.The Journal of clinical investigation · 2026Trial
- Artificial intelligence prognostication of liver disease using imaging.The British journal of radiology · 2026Review
- Accelerated free-breathing volumetric liver proton density fat fraction (PDFF) andMagma (New York, N.Y.) · 2026Article
- Accelerated motion-robust abdominal 3D T1ρ mapping using diamond radial sampling.Magnetic resonance in medicine · 2026Article
- Correlation analysis and diagnostic performance of CT/MRI fat quantification parameters in metabolic dysfunction-associated steatotic liver disease.Frontiers in medicine · 2026Article
- Abdominal simultaneous 3D water TMagnetic resonance in medicine · 2026Article
- Repeatability-encouraging self-supervised learning reconstruction for quantitative MRI.Magnetic resonance in medicine · 2025Article
- Free-breathing, fat-corrected TMagnetic resonance in medicine · 2024Article
- Radiology of fibrosis part II: abdominal organs.Journal of translational medicine · 2024Review
- The Future Is Beyond Bright: The Evolving Role of Quantitative US for Fatty Liver Disease.Radiology · 2023Review
- Review
- Multiparametric MR assessment of liver fat, iron, and fibrosis: a concise overview of the liver "Triple Screen".Abdominal radiology (New York) · 2023Review
- Sex-Specific Contribution of Cardiometabolic Index in Predicting Metabolic Dysfunction-Associated Fatty Liver Disease: Insights from a General Population.Diabetes, metabolic syndrome and obesity : targets and therapy · 2023Article
- Intra-patient comparison of 3D and 2D magnetic resonance elastography techniques for assessment of liver stiffness.Abdominal radiology (New York) · 2022Article
- Cardiometabolic index: A new predictor for metabolic associated fatty liver disease in Chinese adults.Frontiers in endocrinology · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Chronic liver disease (CLD) has rapidly increased in prevalence over the past two decades, resulting in significant morbidity and mortality worldwide. Historically, the clinical gold standard for diagnosis, assessment of severity, and longitudinal monitoring of CLD has been liver biopsy with histological analysis, but this approach has limitations that may make it suboptimal for clinical and research settings. Magnetic resonance (MR)-based biomarkers can overcome the limitations by allowing accurate, precise, and quantitative assessment of key components of CLD without the risk of invasive procedures. This review briefly describes the limitations associated with liver biopsy and the need for non-invasive biomarkers. It then discusses the current state-of-the-art for MRI-based biomarkers of liver iron, fat, and fibrosis, and inflammation.
Indexed as
Identifiers
What OpenQuestion holds
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.