ArticleEuropean radiology2021
Whole-liver histogram and texture analysis on T1 maps improves the risk stratification of advanced fibrosis in NAFLD.
Article in European radiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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10 citing papers in PubMed, 19 citations in OpenAlex.
- Predicting post-hepatectomy liver failure with T1 mapping-based whole-liver histogram analysis on gadoxetic acid-enhanced MRI: comparison with the indocyanine green clearance test and albumin-bilirubin scoring system.European radiology · 2025Article
- Liver T1 mapping in Fontan patients and patients with biventricular congenital heart disease - insights into the effects of venous congestions on diffuse liver disease.The international journal of cardiovascular imaging · 2025Article
- Diagnostic Evaluation of Liver Fibrosis using B1-Corrected T1 Mapping and DWI-Based Virtual ElastographyCurrent medical imaging · 2025Article
- Whole-liver histogram analysis of hepatocyte-specific contrast-enhanced magnetic resonance imaging for predicting progression in patients with cirrhosis.Quantitative imaging in medicine and surgery · 2024Article
- Assessment of hypoxia status in a rat chronic liver disease model using IVIM and T1 mapping.Frontiers in medicine · 2024Article
- Noninvasive assessment of significant liver fibrosis in rabbits by spectral CT parameters and texture analysis.Japanese journal of radiology · 2023Article
- Bias, Repeatability and Reproducibility of Liver TJournal of magnetic resonance imaging : JMRI · 2022Observational
- Radiomics-Based Image Phenotyping of Kidney Apparent Diffusion Coefficient Maps: Preliminary Feasibility & Efficacy.Journal of clinical medicine · 2022Article
- MRI-derived proton density fat fraction.Journal of medical ultrasonics (2001) · 2021Review
- The Potential Value of Texture Analysis Based on Dynamic Contrast-Enhanced MR Images in the Grading of Breast Phyllode Tumors.Frontiers in oncology · 2021Article
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Authors and funding
7 authors at 3 institutions in 2 countries.
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Abstract
objectivesTo assess whole-liver texture analysis on T1 maps for risk stratification of advanced fibrosis in patients with suspected nonalcoholic fatty liver disease (NAFLD).
methodsThis retrospective study included 53 patients. Histogram and texture parameters (volume, mean, SD, median, 5th percentile, 95th percentile, skewness, kurtosis, diff-entropy, diff-variance, contrast, and entropy) of T1 maps were calculated based on the semi-automatically segmented whole-liver volume. A two-step approach combining the Nonalcoholic Fatty Liver Disease Fibrosis Score (NFS) and Fibrosis-4 Index (FIB-4) with the liver stiffness measurement (LSM) for the risk stratification was used. Univariate analysis was performed to identify significant parameters. Logistic regression models were then run on the significant features. Diagnostic performance was evaluated with receiver operating characteristic (ROC) analysis.
resultsIn total, 33 (62%) subjects had a low risk and 20 (38%) subjects had an intermediate-to-high risk of advanced fibrosis. The following significantly different parameters with the best performance were diff-entropy, entropy, and diff-variance, with AUROC 0.837 (95% CI 0.73-0.95), 0.821 (95% CI 0.71-0.94), and 0.807 (95% CI 0.69-0.93). The optimal combination of median, 5th percentile, and diff-entropy as a multivariate model improved the diagnostic performance to diagnose an intermediate-to-high risk of advanced fibrosis with AUROC 0.902(95% CI 0.79-0.97).
conclusionsParameters obtained by histogram and texture analysis of T1 maps may be a noninvasive analytical approach for stratifying the risk of advanced fibrosis in NAFLD. KEY POINTS: • Variable flip angle (VFA) T1 mapping can be used to acquire 3D T1 maps within a clinically acceptable duration. • Whole-liver histogram and texture parameters on T1 maps in patients with NAFLD can distinguish those with an intermediate-to-high risk of advanced fibrosis. • The multivariate model of combination of texture parameters improved the diagnostic performance for a high risk of advanced fibrosis and clinical parameters offer no added value to the multivariate model.
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