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Retrospective Cohort Study
Copyright ©The Author(s) 2025. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Hepatol. Dec 27, 2025; 17(12): 111418
Published online Dec 27, 2025. doi: 10.4254/wjh.v17.i12.111418
Hepatic enhancement and signal intensity analysis on magnetic resonance imaging as prognostic biomarkers in advanced chronic liver disease
Bogdan-Ioan Stanciu, Marcela Iojiban, Andreea Morariu-Barb, Cosmin Caraiani, Bogdan Procopet, Horia Stefanescu, Monica Lupsor-Platon
Bogdan-Ioan Stanciu, Marcela Iojiban, Andreea Morariu-Barb, Cosmin Caraiani, Monica Lupsor-Platon, Department of Radiology and Medical Imaging, “Iuliu Hațieganu” University of Medicine and Pharmacy, Cluj-Napoca 400012, Cluj, Romania
Bogdan Procopet, The Third Medical Clinic, Gastroenterology Department, “Iuliu Hațieganu” University of Medicine and Pharmacy, Cluj-Napoca 400012, Cluj, Romania
Bogdan Procopet, Horia Stefanescu, Department of Hepatology, “Octavian Fodor” Regional Institute of Gastroenterology and Hepatology, Cluj-Napoca 400162, Cluj, Romania
Monica Lupsor-Platon, Department of Medical Imaging, “Octavian Fodor” Regional Institute of Gastroenterology and Hepatology, Cluj-Napoca 400162, Cluj, Romania
Author contributions: Stanciu BI, Caraiani C, and Lupsor-Platon M conceptualized and designed the study; Stanciu BI, Iojiban M, and Morariu-Barb A collected and analyzed the data; Stanciu BI, Iojiban M, Morariu-Barb A, and Lupsor-Platon M contributed to the interpretation of the results; Stanciu BI drafted the manuscript; All authors contributed to the review and editing.
Institutional review board statement: The study was reviewed and approved by the Institutional Ethics Committee, No. 238/2025.
Informed consent statement: Signed informed consent was obtained from all participants.
Conflict-of-interest statement: The authors have no conflicts of interest to declare.
STROBE statement: The authors have read the STROBE Statement-checklist of items, and the manuscript was prepared and revised according to the STROBE Statement-checklist of items.
Open Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Monica Lupsor-Platon, MD, PhD, Professor, Radiology and Medical Imaging, “Iuliu Hațieganu” University of Medicine and Pharmacy, Str. Victor Babeş No. 8, Cluj-Napoca 400012, Cluj, Romania. monica.lupsor@umfcluj.ro
Received: July 1, 2025
Revised: September 1, 2025
Accepted: November 5, 2025
Published online: December 27, 2025
Processing time: 180 Days and 14.9 Hours
Abstract
BACKGROUND

Advanced chronic liver disease is a progressive condition associated with high morbidity and mortality, leading to complications such as decompensation and hepatocellular carcinoma. Although prognostic scores such as the Child-Pugh score (which combines clinical assessment and laboratory parameters) and laboratory-based models, including Model for End-Stage Liver Disease (MELD) 3.0, albumin-bilirubin (ALBI) grade, and fibrosis-4 (FIB-4), are often used, their accuracy is limited by subjective assessments and variability in laboratory results. The Functional Liver Imaging Score (FLIS), a semi-quantitative magnetic resonance imaging (MRI) measure of liver function, may also be influenced by observer variability. This emphasizes the need for objective, reproducible tools to improve risk stratification and support treatment decision-making.

AIM

To evaluate the prognostic value of hepatic enhancement (HE) and signal intensity measured by gadoxetate disodium-enhanced MRI.

METHODS

In this retrospective cohort study, 100 patients with advanced chronic liver disease underwent gadoxetate-enhanced MRI. HE and signal intensity were measured quantitatively in liver segments III, VI, VIII, and the caudate lobe, and global values were calculated by averaging segmental measurements. Correlations were assessed with FLIS, Child-Pugh, MELD 3.0, ALBI, FIB-4, liver stiffness (FibroScan), and hepatic venous pressure gradient. Cox regression and receiver operating characteristic analysis were used to evaluate associations with hepatic decompensation, mortality, and hepatocellular carcinoma (HCC) occurrence during follow-up.

RESULTS

Global HE showed a significant correlation with FLIS (r = 0.797), Child-Pugh (r = -0.589), MELD 3.0 (r = -0.658), ALBI (r = -0.599), FIB-4 (r = -0.308), liver stiffness (r = -0.470), and hepatic venous pressure gradient (r = -0.340). Lower HE was significantly associated with a higher risk of decompensation and mortality in univariate Cox regression. After adjustment for MELD 3.0, etiology, and prior HCC, segment VI HE remained independently predictive of mortality. At 12 months, HE improved risk stratification for mortality and reduced unnecessary interventions by 11 per 100 patients at a 10% threshold in the decision curve analysis. HE had an area under the receiver operating characteristic curve of 0.74 for predicting decompensation and 0.74 for predicting mortality. HE was higher in patients who developed or experienced recurrence of HCC during follow-up, but this was not statistically significant (P = 0.1).

CONCLUSION

Lower HE in segment VI improved prognostic classification of high-risk patients. These patients align with Baveno VII criteria for intensified management, supporting the potential role of HE in risk-adapted surveillance.

Keywords: Advanced chronic liver disease; Magnetic resonance imaging; Gadoxetate disodium; Hepatic enhancement; Signal intensity; Prognostic biomarkers; Liver function assessment

Core Tip: This study investigated whether quantitative gadoxetate-enhanced magnetic resonance imaging can enhance prognostic assessment in patients with advanced chronic liver disease. Among 100 patients, hepatic enhancement (HE) and signal intensity were measured segmentally and globally. Global HE correlated strongly with Functional Liver Imaging Score, clinicobiological scores, liver stiffness, and portal pressure. Notably, lower HE independently predicted hepatic decompensation and mortality, demonstrating good diagnostic accuracy. These results suggest that HE provides an objective and reproducible biomarker that may complement conventional scoring systems, facilitating the earlier identification of high-risk patients and supporting personalized management strategies in clinical hepatology.