ReviewJournal of magnetic resonance imaging : JMRI2020
Liver fibrosis imaging: A clinical review of ultrasound and magnetic resonance elastography.
Review in Journal of magnetic resonance imaging : JMRI, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers, 5 of them syntheses 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
56 citing papers in PubMed, 5 syntheses or guidelines pooled it, 107 citations in OpenAlex.
- Systematic Worldwide Review on the Performance of Non-Invasive Exhalation-Based Methods for the Diagnosis of Liver Fibrosis.International journal of environmental research and public health · 2026Pooled it
- Prevalence of clinically significant liver fibrosis in the general population: A systematic review and meta-analysis.Clinical and molecular hepatology · 2024Pooled it
- KASL clinical practice guidelines for noninvasive tests to assess liver fibrosis in chronic liver disease.Clinical and molecular hepatology · 2024Guideline
- Applications of elastography in operative neurosurgery: A systematic review.Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia · 2022Pooled it
- Diagnostic Performance of Transient Elastography Versus Two-Dimensional Shear Wave Elastography for Liver Fibrosis in Chronic Viral Hepatitis: Direct Comparison and a Meta-Analysis.BioMed research international · 2022Pooled it
- Liquid biopsy: current applications and future directions.Molecular biomedicine · 2026Review
- From biomechanical mechanisms to clinical reasoning: Deciphering mechanobiological drivers of aortic valve calcification for precision therapy.Mechanobiology in medicine · 2026Review
- Predictive modeling and clinical decision tools for risk stratification in steatotic liver disease.Clinical and molecular hepatology · 2026Review
- Molecular PET imaging of integrin αvβ6 reveals biliary and fibrotic changes in preclinical MASH.Biomarker research · 2026Article
- Investigating confounding factors in shear wave speed measurements of fibrotic liver tissues: a computer simulation study.Physical and engineering sciences in medicine · 2026Article
- Overcoming the barriers in the screening, diagnosis, and follow-up of patients with metabolic dysfunction-associated steatotic liver disease (MASLD) and metabolic dysfunction-associated steatohepatitis (MASH).Reviews in endocrine & metabolic disorders · 2026Review
- Diagnostic Value of MR Elastography and MRI-Proton Density Fat Fraction in Cirrhosis Based on Explant Liver Histology.Journal of gastroenterology and hepatology · 2026Article
- The Emerging Role of Mechanobiology in Connecting Metabolic and Cardiovascular Diseases: From Fundamentals to Future Therapies.Biomedicines · 2026Review
- Imaging Evaluation for Steatotic Liver Disease.Korean journal of radiology · 2026Review
- Integration of dual-energy computed tomography and radiomics to improve noninvasive assessment of liver fibrosis: A retrospective study.Journal of clinical imaging science · 2026Article
- Evaluation of liver fibrosis using diffusion-weighted virtual magnetic resonance elastography and ultrasound elastography.Abdominal radiology (New York) · 2026Article
- MR elastography-based prediction of development of hepatocellular carcinoma in patients with chronic hepatitis B with sustained virological response.European radiology · 2025Article
- Ultrasound image-based contrastive fusion non-invasive liver fibrosis staging algorithm.Abdominal radiology (New York) · 2025Article
- Association between hepatitis B virus markers and liver fibrosis staging in patients with chronic hepatitis B.World journal of gastrointestinal surgery · 2025Article
- Extracellular RNAs in Liquid Biopsy: Applications in MASLD and MASH Diagnosis and Monitoring.Diagnostics (Basel, Switzerland) · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors at 3 institutions in 1 country.
Funding
Abstract
Liver fibrosis is a histological hallmark of most chronic liver diseases, which can progress to cirrhosis and liver failure, and predisposes to hepatocellular carcinoma. Accurate diagnosis of liver fibrosis is necessary for prognosis, risk stratification, and treatment decision-making. Liver biopsy, the reference standard for assessing liver fibrosis, is invasive, costly, and impractical for surveillance and treatment response monitoring. Elastography offers a noninvasive, objective, and quantitative alternative to liver biopsy. This article discusses the need for noninvasive assessment of liver fibrosis and reviews the comparative advantages and limitations of ultrasound and magnetic resonance elastography techniques with respect to their basic concepts, acquisition, processing, and diagnostic performance. Variations in clinical contexts of use and common pitfalls associated with each technique are considered. In addition, current challenges and future directions to improve the diagnostic accuracy and clinical utility of elastography techniques are discussed. Level of Evidence: 5 Technical Efficacy Stage: 2 J. Magn. Reson. Imaging 2020;51:25-42.
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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.