Ultrasonographic Diagnosis of Biliary Atresia Based on a Decision-Making Tree Model.

ABSTRACT:

Objective

To assess the diagnostic value of various ultrasound (US) findings and to make a decision-tree model for US diagnosis of biliary atresia (BA).

Materials and methods

From March 2008 to January 2014, the following US findings were retrospectively evaluated in 100 infants with cholestatic jaundice (BA, n = 46; non-BA, n = 54): length and morphology of the gallbladder, triangular cord thickness, hepatic artery and portal vein diameters, and visualization of the common bile duct. Logistic regression analyses were performed to determine the features that would be useful in predicting BA. Conditional inference tree analysis was used to generate a decision-making tree for classifying patients into the BA or non-BA groups.

Results

Multivariate logistic regression ana

SUBMITTER: Lee SM 

PROVIDER: S-EPMC4644760 | biostudies-literature | 2015 Nov-Dec

REPOSITORIES: biostudies-literature