SynthesisMedicine2018
Diagnostic performance of magnetic resonance technology in detecting steatosis or fibrosis in patients with nonalcoholic fatty liver disease: A meta-analysis.
Synthesis in Medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 3 of them syntheses that pooled it.
What it found
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Who cites it
13 citing papers in PubMed, 3 syntheses or guidelines pooled it, 21 citations in OpenAlex.
- Applications of machine learning in the diagnosis of non-alcoholic fatty liver disease: a systematic review and meta-analysis.BMC gastroenterology · 2026Pooled it
- Evaluation of MRI proton density fat fraction in hepatic steatosis: a systematic review and meta-analysis.European radiology · 2025Pooled it
- Accuracy of proton magnetic resonance for diagnosing non-alcoholic steatohepatitis: a meta-analysis.Scientific reports · 2019Pooled it
- The effect of curcumin on hepatic fat content in individuals with obesity.Diabetes, obesity & metabolism · 2022Trial
- Metabolic dysfunction-associated fatty liver disease: an update.Australian prescriber · 2026Review
- Prevalence, risk factors and diagnostic accuracy of non-invasive tests for NAFLD in people with type 1 diabetes.JHEP reports : innovation in hepatology · 2023Article
- Diagnostic Modalities of Non-Alcoholic Fatty Liver Disease: From Biochemical Biomarkers to Multi-Omics Non-Invasive Approaches.Diagnostics (Basel, Switzerland) · 2022Review
- Management of Obesity and Nonalcoholic Fatty Liver Disease: A Literature Review.Seminars in liver disease · 2021Review
- Quantitative T2 mapping of rats with chronic hepatitis.Experimental and therapeutic medicine · 2021Article
- A noninvasive index to predict liver cirrhosis in biliary atresia.Pediatric radiology · 2021Article
- NAFLD in type 1 diabetes: overrated or underappreciated?Therapeutic advances in endocrinology and metabolism · 2021Review
- The diagnostic and initial approach of the patient with non-alcoholic fatty liver disease: role of the primary care provider.Gastroenterology and hepatology from bed to bench · 2019Review
- Nonalcoholic Fatty Liver Disease Aggravated the Severity of Acute Pancreatitis in Patients.BioMed research international · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe aim of this study was to evaluate the diagnostic accuracy of magnetic resonance (MR) imaging-based methods for detecting steatosis and fibrosis in nonalcoholic fatty liver disease (NAFLD).
methodsData were extracted from research articles obtained after a literature search from multiple electronic databases. Random-effects meta-analyses were performed to obtain overall effect size of the area of operator receiver curve (AUROC), sensitivity and specificity of MR imaging, MR elastography, and MR spectroscopy in detecting or grading steatosis/fibrosis. Meta-analysis of correlation coefficients was performed to have an overall effect size of correlation between MR-based diagnosis and histological diagnosis.
resultsTwenty-one studies (1658 subjects; 45.32 years [95% CI: 35.94, 54.71] of age, 53.67% [45.39, 61.95] males, and 29.98 kg/m [21.93, 38.04] BMI) were included in the meta-analysis. Pooled analyses of the AUROC, specificity, and sensitivity values reported in the individual studies revealed an overall effect sizes of 0.90 (0.88, 0.92), 82.27% (77.74, 86.80), and 86.94% (84.18, 95.28) in the use of any MR-based technique for the diagnosis of NAFLD or its severity. The correlation coefficient between MR-based detection of liver steatosis and histologically measured steatosis was 0.748 (0.706, 0.789) (P < .00001).
conclusionMRI-based diagnostic methods are valuable additions in detecting NAFLD or determining the severity of the NAFLD.
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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.