ArticleEuropean radiology2018
MRI-based decision tree model for diagnosis of biliary atresia.
Article in European radiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 2 of them syntheses that pooled it.
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Who cites it
34 citing papers in PubMed, 2 syntheses or guidelines pooled it, 48 citations in OpenAlex.
- The diagnostic performance of ultrasound features for biliary atresia: a systematic review and updated meta-analysis.Pediatric surgery international · 2025Pooled it
- Hepatic Subcapsular Flow as a Significant Diagnostic Marker for Biliary Atresia: A Meta-Analysis.Disease markers · 2020Pooled it
- Adjunctive value of 3D MRCP in biliary atresia: a retrospective two-center analysis of cholestatic infants.Insights into imaging · 2025Article
- A Scoring System Based on Diffusion Tensor Imaging and Blood Biochemistry Tests for Diagnosing Biliary Atresia in Infants.Children (Basel, Switzerland) · 2025Article
- Key postnatal magnetic resonance characteristics for differentiating cystic biliary atresia from choledochal cyst.European radiology · 2024Article
- Imaging of Benign Biliary Tract Disease.The Indian journal of radiology & imaging · 2024Review
- Proteomics Defines Plasma Biomarkers for the Early Diagnosis of Biliary Atresia.Journal of proteome research · 2024Article
- Preoperative imaging findings to predict 2-year native liver survival after the Kasai procedure in patients with biliary atresia.European radiology · 2024Article
- Diagnosis of Epstein-Barr and cytomegalovirus infections using decision trees: an effective way to avoid antibiotic overuse in paediatric tonsillopharyngitis.BMC pediatrics · 2023Article
- Insight into microvascular adaptive alterations in the Glisson system of biliary atresia after Kasai portoenterostomy using X-ray phase-contrast CT.European radiology · 2023Article
- Comparison of decision tree with common machine learning models for prediction of biguanide and sulfonylurea poisoning in the United States: an analysis of the National Poison Data System.BMC medical informatics and decision making · 2023Article
- oFVSD: a Python package of optimized forward variable selection decoder for high-dimensional neuroimaging data.Frontiers in neuroinformatics · 2023Article
- ['Triangular Cord' Sign in Biliary Atresia].Journal of the Korean Society of Radiology · 2022Review
- [Diagnostic Imaging of Biliary Atresia].Journal of the Korean Society of Radiology · 2022Review
- Cholecysto-hepatic duct serving as the only drainage pathway of bile from the intrahepatic to the extrahepatic biliary system in an infant: a case report.BMC pediatrics · 2022Article
- Neonatal diagnosis of biliary atresia: a practical review and update.Pediatric radiology · 2022Review
- A No-Math Primer on the Principles of Machine Learning for Radiologists.Seminars in ultrasound, CT, and MR · 2022Article
- Clinical Decision Support Trees Can Help Optimize Utilization of Anaplasma phagocytophilum Nucleic Acid Amplification Testing.Journal of clinical microbiology · 2021Article
- Article
- A contrast-enhanced-CT-based classification tree model for classifying malignancy of solid lung tumors in a Chinese clinical population.Journal of thoracic disease · 2021Article
Corrections and comments
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Authors and funding
8 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesTo evaluate MRI findings and to generate a decision tree model for diagnosis of biliary atresia (BA) in infants with jaundice.
methodsWe retrospectively reviewed features of MRI and ultrasonography (US) performed in infants with jaundice between January 2009 and June 2016 under approval of the institutional review board, including the maximum diameter of periportal signal change on MRI (MR triangular cord thickness, MR-TCT) or US (US-TCT), visibility of common bile duct (CBD) and abnormality of gallbladder (GB). Hepatic subcapsular flow was reviewed on Doppler US. We performed conditional inference tree analysis using MRI findings to generate a decision tree model.
resultsA total of 208 infants were included, 112 in the BA group and 96 in the non-BA group. Mean age at the time of MRI was 58.7 ± 36.6 days. Visibility of CBD, abnormality of GB and MR-TCT were good discriminators for the diagnosis of BA and the MRI-based decision tree using these findings with MR-TCT cut-off 5.1 mm showed 97.3 % sensitivity, 94.8 % specificity and 96.2 % accuracy.
conclusionsMRI-based decision tree model reliably differentiates BA in infants with jaundice. MRI can be an objective imaging modality for the diagnosis of BA. KEY POINTS: • MRI-based decision tree model reliably differentiates biliary atresia in neonatal cholestasis. • Common bile duct, gallbladder and periportal signal changes are the discriminators. • MRI has comparable performance to ultrasonography for diagnosis of biliary atresia.
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