Dataset Information

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 analysis showed that abnormal gallbladder morphology and greater triangular cord thickness were significant predictors of BA (p = 0.003 and 0.001; adjusted odds ratio: 345.6 and 65.6, respectively). In the decision-making tree using conditional inference tree analysis, gallbladder morphology and triangular cord thickness (optimal cutoff value of triangular cord thickness, 3.4 mm) were also selected as significant discriminators for differential diagnosis of BA, and gallbladder morphology was the first discriminator. The diagnostic performance of the decision-making tree was excellent, with sensitivity of 100% (46/46), specificity of 94.4% (51/54), and overall accuracy of 97% (97/100).

Conclusion

Abnormal gallbladder morphology and greater triangular cord thickness (> 3.4 mm) were the most useful predictors of BA on US. We suggest that the gallbladder morphology should be evaluated first and that triangular cord thickness should be evaluated subsequently in cases with normal gallbladder morphology.

SUBMITTER: Lee SM

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

REPOSITORIES: biostudies-literature

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Publications

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

Lee So Mi SM Cheon Jung-Eun JE Choi Young Hun YH Kim Woo Sun WS Cho Hyun-Hae HH Kim In-One IO You Sun Kyoung SK

Korean journal of radiology 20151026 6

<h4>Objective</h4>To assess the diagnostic value of various ultrasound (US) findings and to make a decision-tree model for US diagnosis of biliary atresia (BA).<h4>Materials and methods</h4>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 d ...[more]

PMID: 26576128

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Project description:Objectives: Biliary atresia (BA) is a rare neonatal liver disease of which the early diagnosis remains a challenge for clinicians. Our center has established a nomogram diagnostic model based on clinical characteristics and liver function characteristics. We aim to develop and validate a nomogram that includes additional ultrasound and finds hepatobiliary abnormality with better BA early screening performance. Methods: In this single-center, retrospective cohort analysis, 1,001 neonatal obstructive jaundice (NOJ) patients between 2012 and 2015 were enrolled. Multivariable analysis was used to identify clinical characteristics, laboratory liver function characteristics, and ultrasonic features that may early screen BA. A nomogram was developed to predict the probability of BA using multiple logistic regression analysis. This nomogram was subsequently validated using another cohort of 501 NOJ patients between 2015 and 2017. Calibration curve analysis and decision curve analyses were performed to evaluate and interpret the nomogram's clinical benefits. Results: Gender, direct bilirubin (DB), alkaline phosphatase (ALP), gamma-glutamyl transpeptidase (GGT), fasting gallbladder visibility, fasting gallbladder filling, and common bile duct visibility were found to have profound statistical significance between the BA and non-BA groups (P < 0.05). The significant features were used to build the nomogram. The area under the receiver operating characteristic (ROC) curve (AUC) value of the novel nomogram (0.87) was superior to those of the former nomogram (0.83) and GGT alone (0.81) in the prediction of BA. The calibration curve revealed a close resemblance between the predicted and actual BA probabilities. Also, the net benefit from the decision curve analysis (DCA) of the nomogram (0.54) was superior to those of the former nomogram (0.49) and GGT alone (0.45) at 80% of threshold possibility. Conclusions: The nomogram has demonstrated better performance for BA screening by including additional information of the US finding, holding a promising future as a non-invasive method for BA patients.

Project description:BACKGROUND: Young age at portoenterostomy has been linked to improved outcome in biliary atresia, but pre-existing biological factors may influence the rate of disease progression. In this study, we aimed to determine whether molecular profiling of the liver identifies stages of disease at diagnosis. METHODS: We examined liver biopsies from 47 infants with biliary atresia enrolled in a prospective observational study. Biopsies were scored for inflammation and fibrosis, used for gene expression profiles, and tested for association with indicators of disease severity, response to surgery, and survival at 2 years. RESULTS: Fourteen of 47 livers displayed prominent features of inflammation (N=9) or fibrosis (N=5), with the remainder showing similar levels of both simultaneously. Differential profiling of gene expression of the 14 livers displayed a unique molecular signature containing 150 gene probes. Applying prediction analysis models, the probes classified 29 of the remaining 33 livers into inflammation or fibrosis. Molecular classification into the two groups was validated by the findings of increased hepatic population of lymphocyte subsets or tissue accumulation of matrix substrates. The groups had no association with traditional markers of liver injury or function, response to surgery, or complications of cirrhosis. However, infants with an inflammation signature were younger, while those with a fibrosis signature had decreased transplant-free survival. CONCLUSION: Molecular profiling at diagnosis of biliary atresia uncovers a signature of inflammation or fibrosis in most livers. This signature may relate to staging of disease at diagnosis and has implications to clinical outcomes. Clinical and laboratory data and liver biopies were obtained from 47 infants at diagnosis of biliary atresia and every 3-6 month intervals until 2 years of age as part of a prospective, observational study of the Biliary Atresia Research Consortium. Liver biopsies underwent histological scoring and those specimens classified as inflammation or fibrosis were used to generate a group-specific gene expression profile. The profile was used to assign a molecular stages of inflammation or fibrosis to the entire cohort. Molecular groups were tested for biological plausibility using immunostaining to quantify hepatic inflammatory cells, and quantitative PCR to reproduce the expression of gene groups and the expression of collagen genes. They were also tested for clinical relevance by testing of association with indicators of liver function, complications of disease, and clinical outcome. This dataset is part of the TransQST collection.

Dataset Information

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

Objective

Materials and methods

Results

Conclusion

Publications

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

Similar Datasets

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