ArticleKorean journal of radiology2020
Assessment of Diffusion Tensor Imaging Parameters of Hepatic Parenchyma for Differentiation of Biliary Atresia from Alagille Syndrome.
Article in Korean journal of radiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 9 citations in OpenAlex.
- Prompt distinction of Alagille syndrome and biliary Atresia in infants: a comparative study.BMC pediatrics · 2025Article
- A Scoring System Based on Diffusion Tensor Imaging and Blood Biochemistry Tests for Diagnosing Biliary Atresia in Infants.Children (Basel, Switzerland) · 2025Article
- Review
- Diffusion tensor imaging of the spleen in prediction and grading of esophageal varices in cirrhotic children with portal hypertension.Japanese journal of radiology · 2021Article
- Development and Assessment of Screening Nomogram for Biliary Atresia Based on Hepatobiliary Ultrasonographic Features.Frontiers in pediatrics · 2021Article
- The role of diffusion tensor imaging of the liver in children with autoimmune hepatitis.Polish journal of radiology · 2021Article
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
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Abstract
objectiveTo assess diffusion tensor imaging (DTI) parameters of the hepatic parenchyma for the differentiation of biliary atresia (BA) from Alagille syndrome (ALGS). MATERIALS AND
methodsThis study included 32 infants with BA and 12 infants with ALGS groups who had undergone DTI. Fractional anisotropy (FA) and mean diffusivity (MD) of the liver were calculated twice by two separate readers and hepatic tissue was biopsied. Statistical analyses were performed to determine the mean values of the two groups. The optimum cut-off values for DTI differentiation of BA and ALGS were calculated by receiver operating characteristic (ROC) analysis.
resultsThe mean hepatic MD of BA (1.56 ± 0.20 and 1.63 ± 0.2 × 10
conclusionHepatic DTI parameters are promising quantitative imaging parameters for the detection of hepatic parenchymal changes in BA and ALGS and may be an additional noninvasive imaging tool for the differentiation of BA from ALGS.
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