ArticleEuropean radiology2019
Prospective comparison of transient, point shear wave, and magnetic resonance elastography for staging liver fibrosis.
Article in European radiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02044523 (Comparison of Magnetic Resonance and Ultrasound Elastography With Liver Biopsy for Noninvasive Staging of Liver Fibrosis), which is not on this map. Cited by 47 papers, 3 of them syntheses that pooled it.
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.
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.
Comparison of Magnetic Resonance and Ultrasound Elastography With Liver Biopsy for Noninvasive Staging of Liver Fibrosis
Who cites it
47 citing papers in PubMed, 3 syntheses or guidelines pooled it, 95 citations in OpenAlex.
- Application of Two-Dimensional Shear Wave Elastography in Evaluating Liver Reserve Function in Patients With Liver Cancer.Journal of clinical ultrasound : JCU · 2025Pooled it
- Diagnosis of Liver Fibrosis Using Artificial Intelligence: A Systematic Review.Medicina (Kaunas, Lithuania) · 2023Pooled it
- Clinical Care Pathway for the Risk Stratification and Management of Patients With Nonalcoholic Fatty Liver Disease.Gastroenterology · 2021Guideline
- Hepatic elastography findings among patients with chronic hepatitis B and C at King Faisal Hospital Rwanda.Journal of ultrasound · 2026Article
- Assessment of MRI susceptibility-weighted imaging-based liver-to-muscle signal intensity ratios for the staging of liver fibrosis.Insights into imaging · 2026Article
- Collagen fibers quantification for liver fibrosis assessment using linear dichroism photoacoustic microscopy.Photoacoustics · 2025Article
- Role of noninvasive tests in the prognostication of metabolic dysfunction-associated steatotic liver disease.Clinical and molecular hepatology · 2025Review
- Machine Learning Models for Predicting Significant Liver Fibrosis in Patients with Severe Obesity and Nonalcoholic Fatty Liver Disease.Obesity surgery · 2024Article
- Feasibility and performance of spin-echo EPI MR elastography at 3 Tesla for staging hepatic fibrosis in the presence of hepatic iron overload.Abdominal radiology (New York) · 2024Article
- Development of fully automated models for staging liver fibrosis using non-contrast MRI and artificial intelligence: a retrospective multicenter study.EClinicalMedicine · 2024Article
- 3D vector MR elastography applications in small organs.Magnetic resonance imaging · 2024Review
- Collagen-targeted protein nanomicelles for the imaging of non-alcoholic steatohepatitis.Acta biomaterialia · 2024Article
- WFUMB Review Paper. Incidental Findings in Otherwise Healthy Subjects, How to Manage: Liver.Cancers · 2024Review
- Noninvasive models for the prediction of liver fibrosis in patients with chronic hepatitis B.BMC gastroenterology · 2024Article
- Clinical value of [Japanese journal of radiology · 2024Article
- Review
- Palm-Sized Wireless Transient Elastography System with Real-Time B-Mode Ultrasound Imaging Guidance: Toward Point-of-Care Liver Fibrosis Assessment.Diagnostics (Basel, Switzerland) · 2024Article
- MR Elastography: Practical Questions, From theAJR. American journal of roentgenology · 2024Review
- Article
- Magnetic resonance elastography for noninvasive detection of liver fibrosis: is there an added value of 3D acquisition?Abdominal radiology (New York) · 2023Article
Corrections and comments
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Authors and funding
15 authors at 5 institutions in 1 country.
Funding
Abstract
objectivesTo perform head-to-head comparisons of the feasibility and diagnostic performance of transient elastography (TE), point shear-wave elastography (pSWE), and magnetic resonance elastography (MRE).
methodsThis prospective, cross-sectional, dual-center imaging study included 100 patients with known or suspected chronic liver disease caused by hepatitis B or C virus, nonalcoholic fatty liver disease, or autoimmune hepatitis identified between 2014 and 2018. Liver stiffness measured with the three elastographic techniques was obtained within 6 weeks of a liver biopsy. Confounding effects of inflammation and steatosis on association between fibrosis and liver stiffness were assessed. Obuchowski scores and AUCs for staging fibrosis were evaluated and the latter were compared using the DeLong method.
resultsTE, pSWE, and MRE were technically feasible and reliable in 92%, 79%, and 91% subjects, respectively. At univariate analysis, liver stiffness measured by all techniques increased with fibrosis stages and inflammation and decreased with steatosis. For classification of dichotomized fibrosis stages, the AUCs were significantly higher for distinguishing stages F0 vs. ≥ F1 with MRE than with TE (0.88 vs. 0.71; p < 0.05) or pSWE (0.88 vs. 0.73; p < 0.05), and for distinguishing stages ≤ F1 vs. ≥ F2 with MRE than with TE (0.85 vs. 0.75; p < 0.05). TE, pSWE, and MRE Obuchowski scores for staging fibrosis stages were respectively 0.89 (95% CI 0.85-0.93), 0.90 (95% CI 0.85-0.94), and 0.94 (95% CI 0.91-0.96).
conclusionMRE provided a higher diagnostic performance than TE and pSWE for staging early stages of liver fibrosis.
trial registrationNCT02044523 KEY POINTS: • The technical failure rate was similar between MRE and US-based elastography techniques. • Liver stiffness measured by MRE and US-based elastography techniques increased with fibrosis stages and inflammation and decreased with steatosis. • MRE provided a diagnostic accuracy higher than US-based elastography techniques for staging of early stages of histology-determined liver fibrosis.
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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 OpenQuestion graph.