Lobe-Based Hepatic Uptake Index of Gd-EOB-DTPA on Contrast-Enhanced MRI to Quantitatively Discriminate between Compensated and Decompensated Hepatitis B-Related Cirrhosis.


Journal

Canadian journal of gastroenterology & hepatology
ISSN: 2291-2797
Titre abrégé: Can J Gastroenterol Hepatol
Pays: Egypt
ID NLM: 101623613

Informations de publication

Date de publication:
2024
Historique:
received: 21 08 2023
revised: 22 05 2024
accepted: 05 06 2024
medline: 1 7 2024
pubmed: 1 7 2024
entrez: 1 7 2024
Statut: epublish

Résumé

To use hepatic uptake index (HUI) of liver lobes on gadolinium ethoxybenzyl diethylenetriamine pentaacetic acid (Gd-EOB-DTPA)-enhanced magnetic resonance imaging (MRI) to discriminate between patients with hepatitis B-related cirrhosis in compensated and decompensated statuses. Forty-four consecutive patients with hepatitis B-related cirrhosis who underwent Gd-EOB-DTPA-enhanced MRI were divided into compensated and decompensated statuses based on clinical evaluation. Volume and signal intensity of individual lobes were retrospectively measured to calculate HUI of the right liver lobe (RHUI), medial (MHUI) and lateral (LHUI) left liver lobes, and caudate lobe (CHUI). Spearman's rank correlation analyses were performed to evaluate relationships of lobe-based HUI with Child-Pugh and model for end-stage liver disease (MELD) scoring system scores in compensated and decompensated statuses. The Mann-Whitney U-test was used to compare the lobe-based HUI between compensated and decompensated statuses. The performance of lobe-based HUI in distinguishing cirrhosis was evaluated using receiver operating characteristic (ROC) analysis, and the area under the ROC curve (AUC) was calculated as a measure of accuracy. Delong's method was used for statistical analysis to elucidate which HUI is optimal. Compensated and decompensated liver cirrhosis were confirmed in 25 (56.82%) and 19 (43.18%) patients, respectively. According to Spearman's rank correlation analysis, RHUI, MHUI, LHUI, and CHUI were all significantly associated with Child-Pugh and MELD scores (all The RHUI could help quantitatively discriminate hepatitis B-related cirrhosis between compensated and decompensated statuses.

Identifiants

pubmed: 38947874
doi: 10.1155/2024/6623848
pmc: PMC11213637
doi:

Substances chimiques

Gadolinium DTPA K2I13DR72L
gadolinium ethoxybenzyl DTPA 0
Contrast Media 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

6623848

Informations de copyright

Copyright © 2024 Fulin Lu et al.

Déclaration de conflit d'intérêts

The authors declare that there are no conflicts of interest.

Auteurs

Fulin Lu (F)

Department of Radiology, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu 610072, Sichuan, China.

Bangguo Tan (B)

Department of Radiology, Panzhihua Central Hospital, Panzhihua 617067, Sichuan, China.

Yucheng Huang (Y)

Department of Radiology, The Third Hospital of Chengdu, Chengdu 610031, Sichuan, China.

Lin Xu (L)

Department of Radiology, Dazhou Center Hospital, Dazhou 635099, Sichuan, China.

Changqiang Wu (C)

Medical Imaging Key Laboratory of Sichuan Province and School of Medical Imaging, Affiliated Hospital of North Sichuan Medical College, Nanchong 637000, China.

Haiying Zhou (H)

Medical Imaging Key Laboratory of Sichuan Province and School of Medical Imaging, Affiliated Hospital of North Sichuan Medical College, Nanchong 637000, China.

Rui Li (R)

Medical Imaging Key Laboratory of Sichuan Province and School of Medical Imaging, Affiliated Hospital of North Sichuan Medical College, Nanchong 637000, China.

Xiaoming Zhang (X)

Medical Imaging Key Laboratory of Sichuan Province and School of Medical Imaging, Affiliated Hospital of North Sichuan Medical College, Nanchong 637000, China.

Tianwu Chen (T)

Department of Radiology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing 400010, China.

Hongjun Li (H)

Department of Radiology, Beijing YouAn Hospital, Capital Medical University, Beijing 100069, China.

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Classifications MeSH