Related Experiment Video
Updated: Apr 20, 2026
Author Spotlight: Advancing Hepatic Fibrosis Diagnosis Using Magnetic Resonance Elastography and AI
Published on: July 21, 2023
Development and validation of fat-corrected virtual MR elastography to assess fibrosis stage in metabolic
Jie Yuan1,2, Xinxin Xu1, Fuhua Yan1,3
1Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Objectives:
This study aimed to develop and validate a fat-corrected virtual magnetic resonance elastography (FC-vMRE) framework based on diffusion-weighted imaging (DWI) to assess liver fibrosis in patients with metabolic dysfunction-associated steatotic liver disease (MASLD).
Materials And Methods:
A total of 463 MASLD patients underwent multi-b-values (0-1500 s/mm²) DWI acquisition, proton density fat fraction (PDFF), and conventional magnetic resonance elastography (MRE). Apparent diffusion coefficient (ADC) parameters were calculated with or without fat correction (based on PDFF). Using the training cohort (n = 361), ADC-to-MRE formulas were derived to compute virtual MRE (vMRE) and FC-vMRE. In the validation cohort (n = 102, with biopsy), the diagnostic performance of vMRE, FC-vMRE, and MRE for fibrosis staging was compared.
Results:
ADC200-1200 demonstrated the strongest correlation with MRE values (R = -0.706, p < 0.001), yielding the formula: FC-vMRE = 6.50 - 3.13 × ADCw. Compared with vMRE, FC-vMRE showed superior agreement with MRE (bias: -0.001 kPa vs 0.469 kPa; intraclass correlation coefficient: 0.666 vs 0.381). In staging performance, FC‑vMRE significantly outperformed vMRE across all fibrosis stages. FC-vMRE showed promising diagnostic performance to MRE in detecting ≥ F2 fibrosis (AUC: 0.761 vs 0.848, p = 0.053), ≥ F3 fibrosis (AUC: 0.756 vs 0.818, p = 0.066), and cirrhosis (AUC: 0.838 vs 0.914, p = 0.065).
Conclusion:
FC-vMRE provides a clinically promising alternative requiring only standard MRI equipment, effectively correcting for fat-related confounding in MASLD, and demonstrating encouraging diagnostic concordance with MRE and histology. This approach shows potential for broader clinical implementation.
Critical Relevance Statement:
Fat-corrected virtual MRE using diffusion-weighted imaging provides promising fibrosis staging accuracy to conventional magnetic resonance elastography in metabolic dysfunction-associated steatotic liver disease patients without requiring specialized hardware.
Key Points:
Fat infiltration confounds diffusion measurements in metabolic steatotic liver disease. Fat-corrected virtual MRE showed superior agreement with standard MRE. Hardware-free fibrosis assessment enables accessible liver stiffness measurement.
