ReviewAbdominal radiology (New York)2022
Magnetic resonance elastography of the liver: everything you need to know to get started.
Review in Abdominal radiology (New York), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 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
29 citing papers in PubMed, 1 synthesis or guideline pooled it, 57 citations in OpenAlex.
- Best practices for pediatric liver MRI: guidelines from members of the Society for Pediatric Radiology Magnetic Resonance and Abdominal Imaging Committees.Pediatric radiology · 2025Guideline
- Closer Association of Liver Stiffness Than Liver Fat Content With Imaging-Derived Neurovascular Coupling in a Metabolic Dysfunction-Associated Steatotic Liver Disease Cohort.Diabetes, obesity & metabolism · 2026Article
- Quantitative equivalence of Quantitative Imaging Biomarkers Alliance (QIBA)-2023- and QIBA-2020-compliant MR elastography protocols for liver stiffness assessment.Abdominal radiology (New York) · 2026Article
- Respiratory Motion Management in Abdominal MRI: Revisiting the Gap Between Technical Advances and Clinical Translation.Magnetic resonance in medicine · 2026Review
- Subtyping metabolic dysfunction-associated steatotic liver disease using electronic health record-linked genomic cohorts reveals diverse etiologies and progression.Nature communications · 2026Article
- Diagnostic Value of MR Elastography and MRI-Proton Density Fat Fraction in Cirrhosis Based on Explant Liver Histology.Journal of gastroenterology and hepatology · 2026Article
- MR Elastography-Based Slip Interface Imaging for Assessment of Myofascial Interface Mobility in Chronic Low Back Pain: A Pilot Study.Magnetic resonance in medicine · 2026Article
- Metabolic dysfunction associated steatotic liver disease: mechanisms, diagnosis, and management in adults.BMJ medicine · 2026Review
- Imaging-based fibrosis assessment and risk stratification in MASLD.Frontiers in medicine · 2026Review
- Validation of Velacur Liver Stiffness and Attenuation in Patients With Metabolic Dysfunction-Associated Steatotic Liver Disease.Gastro hep advances · 2026Article
- [Research progress on brucellosis combined with liver injury].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2025Review
- Automated liver magnetic resonance elastography quality control and liver stiffness measurement using deep learning.Abdominal radiology (New York) · 2025Article
- Role of mac-2 binding protein glycosylation isomer in predicting fibrosis in patients with metabolic dysfunction-associated steatotic liver disease.World journal of hepatology · 2025Article
- Simple Clinical Prediction Rules for Identifying Significant Liver Fibrosis: Evaluation of Established Scores and Development of the Aspartate Aminotransferase-Thrombocytopenia-Albumin (ATA) Score.Diagnostics (Basel, Switzerland) · 2025Article
- Accuracy of Velacur in Assessing MASLD and MASH Patients Using Biopsy as the Gold Standard.Diagnostics (Basel, Switzerland) · 2025Article
- Assessment of Tumor Cell Invasion and Radiotherapy Response in Experimental Glioma by Magnetic Resonance Elastography.Journal of magnetic resonance imaging : JMRI · 2025Article
- Deep Learning-Enabled Automated Quality Control for Liver MR Elastography: Initial Results.Journal of magnetic resonance imaging : JMRI · 2025Article
- Assessing Intervertebral Disk Tissue Mechanics Using Dual-Actuator Multifrequency Magnetic Resonance Elastography: Case Reports.Case reports in medicine · 2025Article
- Development of fully automated models for staging liver fibrosis using non-contrast MRI and artificial intelligence: a retrospective multicenter study.EClinicalMedicine · 2024Article
- Magnetic Resonance Elastography for Staging Liver Fibrosis in the Oncopig.Diagnostics (Basel, Switzerland) · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 3 institutions in 1 country.
Funding
Abstract
Magnetic resonance elastography (MRE) of the liver has emerged as the non-invasive standard for the evaluation of liver fibrosis in chronic liver diseases (CLDs). The utility of MRE in the evaluation of different CLD in both adults and children has been demonstrated in several studies, and MRE has been recommended by several clinical societies. Consequently, the clinical indications for evaluation of CLD with MRE have increased, and MRE is currently used as an add-on test during routine liver MRI studies or as a standalone test. To meet the increasing clinical demand, MRE is being installed in many academic and private practice imaging centers. There is a need for a comprehensive practical guide to help these practices to deliver high-quality liver MRE studies as well as troubleshoot the common issues with MRE to ensure smooth running of the service. This comprehensive clinical practice review summarizes the indications and provides an overview on why to use MRE, technical requirements, system set-up, patient preparation, acquiring the data, and interpretation.
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.