ArticleBMC gastroenterology2025
T1/T2 mapping as a non-invasive method for evaluating liver fibrosis based on correlation of biomarkers: a preclinical study.
Article in BMC gastroenterology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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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.
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Who cites it
3 citing papers in PubMed.
- Loureirin B Attenuates Methotrexate-Induced Liver Injury Associated with Oxidative Stress, SIRT1 Alterations, and TGF-β/SMAD3-Related Profibrotic Responses.Pharmaceuticals (Basel, Switzerland) · 2026Article
- An Interpretable Machine Learning Model With Synthetic MRI-Based Habitat Radiomics for Predicting Lymph Node Metastasis in Oral Cancer.Cancer medicine · 2026Article
- Liver Tissue Mapping in Transfusion-Dependent β-Thalassemia: Reproducibility and Clinical Insights from Multiparametric MRI.Diagnostics (Basel, Switzerland) · 2025Article
Corrections and comments
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Authors and funding
10 authors.
Funding
Abstract
backgroundGiven the inherent limitations of invasive biopsy and the insufficient accuracy of liver-related serum biomarkers, there is an urgent need for the development of reliable, non-invasive imaging techniques for the diagnosis of liver fibrosis. This study aims to investigate the correlation between magnetic resonance imaging (MRI) T1/T2 mapping sequences and biomarkers of collagen deposition and ongoing systemic inflammation, and to evaluate the potential of T1/T2 mapping as a non-invasive method for the accurate diagnosis of liver fibrosis.
methodsA mouse model of carbon tetrachloride (CCl
resultsThe principal findings indicated that T1 and T2 values exhibited a progressive increase with the severity of fibrosis, demonstrating a positive correlation with collagen deposition and inflammatory factors, especially the hydroxyproline content (r = 0.880, P < 0.001). The HYP content exhibited a progressive increase with advancing fibrosis stages (ρ = 0.914, P < 0.001). Similarly, T1 values increased significantly across fibrosis stage(ρ = 0.854, P < 0.001). Statistical comparison of these coefficients revealed no significant difference (Z = 1.031, P = 0.303). ROC curve analysis showed that T1 mapping was more accurate than T2 mapping in detecting collagen deposition and inflammation.
conclusionsThis study highlighted the potential of T1/T2 mapping as non-invasive and quantitative biomarkers for diagnosing and staging liver fibrosis, providing new insights into the onset and progression of liver fibrosis.
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