Multiparametric Magnetic Resonance Imaging in Liver Disease
Summary
Multiparametric magnetic resonance imaging (mpMRI) has emerged as a robust non-invasive modality in the evaluation of liver disease, enabling simultaneous quantification of tissue characteristics including inflammation, fibrosis, steatosis and iron deposition. By integrating data from T1 mapping, T2* mapping and proton density fat fraction (PDFF) measurements, mpMRI provides a comprehensive liver profile that correlates strongly with histological indices. Its ability to stratify disease severity, monitor progression and predict clinical outcomes has driven interest in both academic and clinical spheres. The technique overcomes limitations of liver biopsy by avoiding sampling error and procedural risks, and facilitates longitudinal assessment in clinical trials and routine practice. Global research has focused on standardisation of acquisition protocols, validation against histopathology and the development of composite biomarkers to improve diagnostic accuracy, cost-effectiveness and patient management pathways.
Research from Nature Portfolio
Randomised clinical trials have demonstrated that incorporating mpMRI into standard care pathways for suspected metabolic dysfunction–associated liver disease is cost-effective and enhances diagnostic yield while reducing the need for invasive biopsy. A multicentre study has shown that iron-corrected T1 (cT1) mapping and PDFF metrics can correctly avoid biopsy in a substantial proportion of patients without sacrificing diagnostic performance, yielding an acceptable incremental cost-effectiveness ratio across diverse healthcare settings. In parallel, a composite biomarker study integrating cT1 with routine blood analytes such as aspartate aminotransferase and fasting glucose achieved high accuracy in identifying non-alcoholic steatohepatitis with significant fibrosis, offering a non-invasive pre-screen for trial enrolment. Seminal validation work has further correlated mpMRI parameters with histological measures of fibrosis, steatosis and iron, confirming strong predictive accuracy and excellent test-retest reliability across scanners and populations.
Multiparametric Magnetic Resonance Imaging in Liver Disease publication trend
The graph below shows the total number of articles in multiparametric magnetic resonance imaging in liver disease across all publications each year (not limited to Nature Index journals).
Technical terms
Multiparametric magnetic resonance imaging (mpMRI): A non-invasive imaging technique combining multiple MRI sequences (including T1 and T2* mapping and PDFF) to characterise liver tissue composition and pathology.
Iron-corrected T1 (cT1): A T1 relaxation measurement adjusted for the confounding effects of iron, serving as a biomarker of fibro-inflammatory disease activity in the liver.
Proton density fat fraction (PDFF): A quantitative MRI metric reflecting the proportion of fat protons within liver tissue, used for assessing steatosis.
Transient elastography (TE): An ultrasound-based technique measuring liver stiffness as a surrogate for fibrosis severity.
T2* mapping: An MRI relaxation parameter sensitive to tissue iron content, enabling non-invasive assessment of hepatic iron overload.
References
- Multiparametric magnetic resonance imaging for the assessment of non‐alcoholic fatty liver disease severity. Liver International (2017).
- Utility and cost-effectiveness of LiverMultiScan for MASLD diagnosis: a real-world multi-national randomised clinical trial. Communications Medicine (2025).
- A composite biomarker using multiparametric magnetic resonance imaging and blood analytes accurately identifies patients with non-alcoholic steatohepatitis and significant fibrosis. Scientific Reports (2020).
- Multiparametric magnetic resonance imaging predicts clinical outcomes in patients with chronic liver disease. Journal of Hepatology (2015).
- Repeatability and reproducibility of multiparametric magnetic resonance imaging of the liver. PLOS ONE (2019).
- Liver disease is a significant risk factor for cardiovascular outcomes – A UK Biobank study. Journal of Hepatology (2023).
- Correlations Between MRI Biomarkers PDFF and cT1 With Histopathological Features of Non-Alcoholic Steatohepatitis. Frontiers in Endocrinology (2021).
- Multiparametric magnetic resonance imaging for quantitation of liver disease: a two-centre cross-sectional observational study. Scientific Reports (2018).
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