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Updated: Sep 21, 2025

Author Spotlight: Advancing Hepatic Fibrosis Diagnosis Using Magnetic Resonance Elastography and AI
Published on: July 21, 2023
Tomoelastography based on multifrequency MR elastography predicts liver function reserve in patients with
Huimin Lin1, Yihuan Wang1, Jiahao Zhou1
1Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No. 197 Ruijin Er Road, Shanghai, 200025, China.
Tomoelastography measures liver stiffness and fluidity to assess liver function reserve in hepatocellular carcinoma (HCC) patients. These viscoelastic properties accurately predict surgical outcomes and aid in treatment stratification.
Area of Science:
- Hepatobiliary imaging and intervention
- Non-invasive liver assessment
- Quantitative MRI techniques
Background:
- Accurate estimation of liver function reserve is critical for surgical planning in hepatocellular carcinoma (HCC) patients.
- Predicting post-hepatectomy complications relies on precise assessment of remaining liver function.
- Tomoelastography, a multifrequency MRI technique, offers a novel approach to quantify hepatic viscoelasticity.
Purpose of the Study:
- To investigate the utility of hepatic viscoelasticity, measured by tomoelastography, in predicting liver function reserve.
- To correlate tomoelastography-derived stiffness (c) and fluidity (φ) with 15-min indocyanine green retention rates (ICG-R15).
- To develop a predictive model for major hepatectomy tolerance based on liver viscoelastic parameters.
Main Methods:
- Preoperative tomoelastography was performed on 156 patients with suspected HCC.
- Sixty-nine patients were analyzed, with liver function reserve assessed using 15-min indocyanine green retention rates (ICG-R15).
- Shear wave speed (c) and loss angle (φ) were quantified and correlated with ICG-R15; a logistic regression model was built for hepatectomy tolerance.
Main Results:
- Both liver stiffness (c) and fluidity (φ) showed positive correlations with ICG-R15 (p < 0.001).
- At advanced fibrosis stages (F3-4), both c and φ were significantly correlated with ICG-R15.
- Optimal cutoffs for predicting ICG-R15 ≥ 14% were c = 2.04 m/s and φ = 0.79 rad, with higher predictive accuracy for c (AUC = 0.892).
Conclusions:
- Hepatic viscoelasticity, measured by tomoelastography, is significantly correlated with liver function reserve.
- Tomoelastography parameters (stiffness and fluidity) can noninvasively assess liver function in HCC patients.
- This technique holds potential for clinical use in stratifying treatment and guiding surgical decisions.
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