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Predict esophageal varices via routine trans-abdominal ultrasound: A design of classification analysis model.

Authors :
Zhang, Chao‐Xue
Xu, Jian‐Ming
Li, Jia‐Bin
Kong, De‐Run
Wang, Ling
Xu, Xiao‐Yong
Zhao, Dong‐Mei
Source :
Journal of Gastroenterology & Hepatology. Jan2016, Vol. 31 Issue 1, p194-199. 6p. 1 Color Photograph, 1 Diagram, 3 Charts.
Publication Year :
2016

Abstract

Background and Aims Upper gastrointestinal endoscopy remains the gold standard for diagnosis of esophageal varices. Trans-abdominal ultrasound, as a noninvasive routine examination for the follow-up of cirrhosis patient, is safe, cheap, easy to perform, and plays an important role. In this study, we attempt to design a practical classification analysis model to predict esophageal varices via ultrasound. Methods Compared with endoscopy, the ultrasound qualitative signs (lower esophageal Doppler signals, left gastric vein hepatofugal flow, and paraumbilical vein recanalization) and quantitative parameters (spleen diameter, spleen vein diameter, portal vein diameter, and portal vein velocity) have been evaluated in 286 cirrhosis patients. Results The classification analysis model is designed as that: the patients are defined with esophageal varices high risk, who with any ultrasound qualitative signs or who with spleen diameter greater than 162 mm without qualitative parameters. The sensitivity for detecting esophageal varices is 97.5% and the specificity is 82.6%, while the positive predictive value is 96.7%, negative predictive value is 83.4%, and the omission diagnostic rate is 2.5%. Conclusions This classification analysis model design includes ultrasound qualitative signs and spleen diameter, which can be detected easily via routine ultrasound without other auxiliary. The classification analysis model is useful in detecting esophageal varices, which may be a supplement for predicting of esophageal varices, and reducing the frequency of endoscopy in the follow-up of cirrhosis patients. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
08159319
Volume :
31
Issue :
1
Database :
Academic Search Index
Journal :
Journal of Gastroenterology & Hepatology
Publication Type :
Academic Journal
Accession number :
112358193
Full Text :
https://doi.org/10.1111/jgh.13045