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Computed Tomography-Derived Extracellular Volume Fraction and Splenic Size for Liver Fibrosis Staging.

Authors :
Kutaiba N
Tran A
Ashraf S
Con D
Lokan J
Goodwin M
Testro A
Egan G
Lim R
Source :
Journal of computer assisted tomography [J Comput Assist Tomogr] 2024 Jun 03. Date of Electronic Publication: 2024 Jun 03.
Publication Year :
2024
Publisher :
Ahead of Print

Abstract

Objective: Extracellular volume fraction (fECV) and liver and spleen size have been correlated with liver fibrosis stages and cirrhosis. The purpose of the current study was to determine the predictive value of fECV alone and in conjunction with measurement of liver and spleen size for severity of liver fibrosis.<br />Methods: This was a retrospective study of 95 subjects (65 with liver biopsy and 30 controls). Spearman rank correlation coefficient was used to assess correlation between radiological markers and fibrosis stage. Receiver operating characteristic analysis was performed to assess the discriminative ability of radiological markers for significant (F2+) and advanced (F3+) fibrosis and cirrhosis (F4), by reporting the area under the curve (AUC).<br />Results: The cohort had a mean age of 51.4 ± 14.4 years, and 52 were female (55%). There were 36, 5, 6, 9, and 39 in fibrosis stages F0, F1, F2, F3, and F4, respectively. Spleen volume alone showed the highest correlation (r = 0.552, P < 0.001) and AUCs of 0.823, 0.807, and 0.785 for identification of significant and advanced fibrosis and cirrhosis, respectively. Adding fECV to spleen length improved AUCs (0.764, 0.745, and 0.717 to 0.812, 0.781, and 0.738, respectively) compared with splenic length alone. However, adding fECV to spleen volume did not improve the AUCs for significant or advanced fibrosis or cirrhosis.<br />Conclusions: Spleen size (measured in length or volume) showed better correlation with liver fibrosis stages compared with fECV. The combination of fECV and spleen length had higher accuracy compared with fECV alone or spleen length alone.<br />Competing Interests: The authors declare no conflict of interest.<br /> (Copyright © 2024 Wolters Kluwer Health, Inc. All rights reserved.)

Details

Language :
English
ISSN :
1532-3145
Database :
MEDLINE
Journal :
Journal of computer assisted tomography
Publication Type :
Academic Journal
Accession number :
38858799
Full Text :
https://doi.org/10.1097/RCT.0000000000001631