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Updated: Jan 19, 2026

Novel In Vivo Micro-Computed Tomography Imaging Techniques for Assessing the Progression of Non-Alcoholic Fatty Liver Disease
Published on: March 24, 2023
Hepatocyte fraction: correlation with noninvasive liver functional biomarkers
Yoshifumi Noda1, Satoshi Goshima2, Tomoyuki Okuaki3
1Department of Radiology, Gifu University, 1-1 Yanagido, Gifu, 501-1194, Japan. noda1031@gifu-u.ac.jp.
Purpose:
To evaluate the correlation between HeF obtained from gadoxetic acid-enhanced MR imaging and clinical biomarkers for the assessment of liver function.
Methods:
This prospective study was approved by our Institutional Review Board, and written informed consent was obtained from the patients. We recruited 48 patients carrying a known or suspected liver disease to undergo gadoxetic acid-enhanced MR imaging. The new model of the HeF was calculated from ΔR1 values of the liver and spleen. The HeF, quantitative liver-to-spleen contrast ratio (Q-LSC), and ΔT1 value (the reduction rate of the T1 value between the pre- and post-contrast images) were compared with the Child-Pugh and end-stage liver disease (MELD) scores.
Results:
Among 48 patients, 40 were in Child-Pugh class A and 8 were in class B. The median HeF (P = 0.0001), Q-LSC (P = 0.015), and ΔT1 value (P = 0.0023) in patients in Child-Pugh class A were significantly higher than those in class B. The sensitivities, specificities, and area under the receiver-operating-characteristic curves for differentiating Child-Pugh class A and B were 95.0%, 87.5%, and 0.93 in the HeF; 77.5%, 75.0%, and 0.78 in the Q-LSC; and 57.5%, 100.0%, and 0.84 in the ΔT1 value, respectively. The HeF was significantly correlated with Child-Pugh (r = - 0.58, P < 0.0001) and MELD score (r = - 0.57, P < 0.0001).
Conclusions:
The HeF was well correlated with Child-Pugh and MELD score and could be a new biomarker to assess liver function.
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