Restricted Spectrum Imaging for Diagnosis of High‐Risk Metabolic Dysfunction‐Associated Steatohepatitis

BACKGROUND: Conventional diffusion MRI inadequately characterizes heterogeneous microstructural changes in metabolic dysfunction-associated steatotic liver disease (MASLD). The optimal restricted spectrum imaging (RSI) model and value for high-risk metabolic dysfunction-associated steatohepatitis (MASH) remain unclear. PURPOSE: To optimize RSI modeling and evaluate its performance for high-risk MASH. STUDY TYPE: Prospective cross-sectional study. POPULATION: 96 biopsy-proven MASLD participants (median age, 46 years [IQR: 36-58]; 51 women [53.1%]), including 64 with high-risk MASH. FIELD STRENGTH/SEQUENCE: 3T; fat-suppressed single-shot echo-planar imaging with multi-b-value diffusion-weighted imaging, EPI-based MR elastography, and 3D chemical shift-encoded proton density fat-fraction imaging. ASSESSMENT: Two- to five-compartment RSI models were compared using Bayesian information criterion (BIC). RSI fractions, apparent diffusion coefficient, FIB-4, and MRI-based MASH score (MAST) were evaluated against histopathologic features and high-risk MASH. STATISTICAL TESTS: Spearman correlation, Mann-Whitney U test, logistic regression, receiver operating characteristic analysis, DeLong test, bootstrap internal validation, decision curve analysis (thresholds, 0.20-0.60), and intraclass correlation coefficient (ICC). p < 0.05 was significant. RESULTS: The five-compartment model showed the lowest BIC (1472.30; ΔBIC = 0). RSI measurements showed excellent inter-observer agreement (ICC, 0.955-0.994). RSI-C1 (r = 0.357) and RSI-C2 (r = 0.283) significantly correlated with steatosis; RSI-C2 (r = 0.273) and RSI-C5 (r = 0.282) with inflammation; and RSI-C2 (r = 0.326), RSI-C4 (r = 0.400), and RSI-C5 (r = 0.386) with fibrosis (all p < 0.05). The RSI-C2 + C4 + C5 model yielded an AUC of 0.800 for high-risk MASH, without significant difference versus FIB-4 (AUC = 0.707; p = 0.219) or MAST (AUC = 0.899; p = 0.146). Across thresholds of 0.20-0.60, RSI mean net benefit (0.504) exceeded FIB-4 (0.438) but not MAST (0.559). DATA CONCLUSION: RSI provides compartment-specific microstructural biomarkers associated with MASLD histology and may complement noninvasive tools for high-risk MASH assessment. EVIDENCE LEVEL: 2. TECHNICAL EFFICACY: Stage 2.

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Journal
Journal of Magnetic Resonance Imaging
Published
2026-09-30
DOI
https://doi.org/10.1002/jmri.70560
Primary Topic
Liver Disease Diagnosis and Treatment
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article
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article

Restricted Spectrum Imaging for Diagnosis of High‐Risk Metabolic Dysfunction‐Associated Steatohepatitis

Wenli Tan, Jie Yuan, Xuehua Sun, Jinghao Zhang et al.
Journal of Magnetic Resonance Imaging
Liver Disease Diagnosis and Treatment
article

Restricted Spectrum Imaging for Diagnosis of High‐Risk Metabolic Dysfunction‐Associated Steatohepatitis

Wenli Tan, Jie Yuan, Xuehua Sun, Jinghao Zhang, Zhiwei Qin, Liping You, Zheng Tu, Wei Xu, Guangda Liu, Huamei Yan
article en

Abstract

BACKGROUND: Conventional diffusion MRI inadequately characterizes heterogeneous microstructural changes in metabolic dysfunction-associated steatotic liver disease (MASLD). The optimal restricted spectrum imaging (RSI) model and value for high-risk metabolic dysfunction-associated steatohepatitis (MASH) remain unclear. PURPOSE: To optimize RSI modeling and evaluate its performance for high-risk MASH. STUDY TYPE: Prospective cross-sectional study. POPULATION: 96 biopsy-proven MASLD participants (median age, 46 years [IQR: 36-58]; 51 women [53.1%]), including 64 with high-risk MASH. FIELD STRENGTH/SEQUENCE: 3T; fat-suppressed single-shot echo-planar imaging with multi-b-value diffusion-weighted imaging, EPI-based MR elastography, and 3D chemical shift-encoded proton density fat-fraction imaging. ASSESSMENT: Two- to five-compartment RSI models were compared using Bayesian information criterion (BIC). RSI fractions, apparent diffusion coefficient, FIB-4, and MRI-based MASH score (MAST) were evaluated against histopathologic features and high-risk MASH. STATISTICAL TESTS: Spearman correlation, Mann-Whitney U test, logistic regression, receiver operating characteristic analysis, DeLong test, bootstrap internal validation, decision curve analysis (thresholds, 0.20-0.60), and intraclass correlation coefficient (ICC). p < 0.05 was significant. RESULTS: The five-compartment model showed the lowest BIC (1472.30; ΔBIC = 0). RSI measurements showed excellent inter-observer agreement (ICC, 0.955-0.994). RSI-C1 (r = 0.357) and RSI-C2 (r = 0.283) significantly correlated with steatosis; RSI-C2 (r = 0.273) and RSI-C5 (r = 0.282) with inflammation; and RSI-C2 (r = 0.326), RSI-C4 (r = 0.400), and RSI-C5 (r = 0.386) with fibrosis (all p < 0.05). The RSI-C2 + C4 + C5 model yielded an AUC of 0.800 for high-risk MASH, without significant difference versus FIB-4 (AUC = 0.707; p = 0.219) or MAST (AUC = 0.899; p = 0.146). Across thresholds of 0.20-0.60, RSI mean net benefit (0.504) exceeded FIB-4 (0.438) but not MAST (0.559). DATA CONCLUSION: RSI provides compartment-specific microstructural biomarkers associated with MASLD histology and may complement noninvasive tools for high-risk MASH assessment. EVIDENCE LEVEL: 2. TECHNICAL EFFICACY: Stage 2.

Journal of Magnetic Resonance Imaging
Shanghai University of Traditional Chinese Medicine (CN), United Imaging Healthcare (China) (CN), Shuguang Hospital (CN)
Openalex Percentile: Top 11%
Liver Disease Diagnosis and Treatment
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