Clinically Severe Portal Hypertension: Role of Multi-detector Row CT Features in Diagnosis View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2014-04-11

AUTHORS

Ji Young Lee, Tae Yeob Kim, Woo Kyoung Jeong, Yongsoo Kim, Jinoo Kim, Kyoung Won Kim, Young Hwan Kim, Joo Hyun Sohn

ABSTRACT

Background and AimTo explore the CT signs which permit estimation of clinically severe portal hypertension (PH) [≥12 of hepatic vein pressure gradient (HVPG)].MethodsOne-hundred and seven consecutive patients who underwent HVPG measurement in the PH group and 52 controls were included. The diameters of main portal vein (øMPV), superior mesenteric vein (øSMV), splenic vein (øSV), and left gastric vein, øMPV/øSV, øSMV/øSV, as well as estimated spleen volumes were evaluated on the CT scan. The grade of varix and ascites were also evaluated semi-quantitatively. We explored the statistically significant CT features related to severe PH and performed a logistic regression analysis for an estimation model for severe PH.ResultsøMPV/øSV and øSMV/øSV tended to gradually increase as the PH became severer, and the difference between severe and not severe groups was statistically significant (p = 0.015 and 0.038, respectively). According to the regression analysis, øSMV/øSV and the grade of esophageal varix and ascites were finally included as related variables for predicting severe PH. The odds ratio (OR) of øSMV/øSV was 4.596, and large esophageal varix (OR 4.135) and mild (OR 3.051) and large amount of ascites (OR 21.781) were statistically significantly related to severe PH.ConclusionChanging diameters of portal system, the grades of esophageal varices and ascites on multi-detector row computed tomography might be indicative features for clinically severe PH. More... »

PAGES

2333-2343

References to SciGraph publications

Journal

TITLE

Digestive Diseases and Sciences

ISSUE

9

VOLUME

59

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s10620-014-3149-8

DOI

http://dx.doi.org/10.1007/s10620-014-3149-8

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1029020867

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/24723070


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