Congenital Biliary Dilatation Diagnosis Based on 3D Morphological Characteristics
- Conditions
- Congenital Biliary Dilatation
- Interventions
- Other: Contrast-enhanced computed tomography (CECT) and 3D morphological analysis
- Registration Number
- NCT06162520
- Lead Sponsor
- Tsinghua University
- Brief Summary
Congenital biliary dilatation necessitates timely intervention owing to potential complications. This study endeavors to enhance diagnostic precision using quantitative three-dimensional morphological characteristics. Objectives involve developing models to differentiate congenital from secondary biliary dilatation and identify intrahepatic involvement. Employing machine learning, robust diagnostic models aim to elevate clinical detection rates and improve accuracy.
- Detailed Description
Congenital biliary dilatation is a primary anomaly affecting the biliary tract. It can involve the extrahepatic bile ducts, intrahepatic bile ducts, or the entire biliary system, including the common bile duct. Patients with congenital biliary dilatation exhibit abnormal expansion of the bile duct system, which can lead to complications such as bile duct stones, pancreatic inflammation, and even bile duct cancer. Timely and accurate diagnosis, followed by surgical intervention to remove the dilated bile duct lesion, is crucial for the treatment of choledochal dilation. However, the differentiation of congenital biliary dilatation in clinical practice poses challenges, primarily due to the limitations of subjective physician experience and macroscopic imaging features, making it difficult to achieve high sensitivity in discerning congenital biliary dilatation. Particularly, in distinguishing between congenital biliary dilatation and secondary biliary dilatation, the similarities of the bile ducts limit the precision of clinical decisions. Therefore, this study aims to address the current challenges in the differential diagnosis of congenital biliary dilatation and secondary biliary dilatation by quantitatively describing the morphology of dilated bile ducts. Moreover, this study plans to build a predictive model of intrahepatic bile duct dilatation to provide more comprehensive clinical support. Specifically, the research objectives are outlined as follows:
1. Establish a diagnostic model for congenital biliary dilatation utilizing three-dimensional morphological characteristics, especially quantitative shape- and diameter-based characteristics, to enhance the accurate discrimination between congenital biliary dilatation and secondary biliary dilatation.
2. Develop a model for identifying intrahepatic involvement of congenital biliary dilatation, aiming to provide more precise information for surgical planning and supportive treatment.
3. Construct robust diagnostic models using machine learning with quantitative three-dimensional morphological characteristics, aiming to increase clinical detection rates and accuracy, thereby achieving risk stratification for patients with biliary dilatation.
Recruitment & Eligibility
- Status
- COMPLETED
- Sex
- All
- Target Recruitment
- 550
- The patients with biliary dilation who underwent contrast-enhanced computed tomography (CECT) at Beijing Tsinghua Chang Gung Hospital from 2014 to 2022.
- Patients without pre-operative CECT scans or developing cholangiocarcinoma due to congenital biliary dilatation.
Study & Design
- Study Type
- OBSERVATIONAL
- Study Design
- Not specified
- Arm && Interventions
Group Intervention Description Secondary biliary dilatation Contrast-enhanced computed tomography (CECT) and 3D morphological analysis Patients with secondary biliary dilatation attributed to choledocholithiasis or malignancies (hilar cholangiocarcinoma, pancreatic carcinoma, and distal cholangiocarcinoma). Congenital biliary dilatation Contrast-enhanced computed tomography (CECT) and 3D morphological analysis Patients with congenital biliary dilatation diagnosed according to the Japanese Study Group on Congenital Biliary Dilatation (JSCBD) guideline.
- Primary Outcome Measures
Name Time Method Area under the Receiver Operating Characteristic curve (AUROC) of the diagnostic models for the differential diagnosis of congenital and secondary biliary dilatation and the identification of intrahepatic involvement Pre-operation The area under the ROC curve is calculated by integrating the ROC curve, which plots Sensitivity against 1 - Specificity.
- Secondary Outcome Measures
Name Time Method Sensitivity of the diagnostic models for the differential diagnosis of congenital and secondary biliary dilatation and the identification of intrahepatic involvement Pre-operation Sensitivity is calculated as the ratio of true positives to the sum of true positives and false negatives.
Area under the Precision-Recall curve (AUPRC) of the diagnostic models for the differential diagnosis of congenital and secondary biliary dilatation and the identification of intrahepatic involvement Pre-operation The area under the precision-recall curve is determined by integrating the Precision-Recall curve, which plots Precision against Recall.
Specificity of the diagnostic models for the differential diagnosis of congenital and secondary biliary dilatation and the identification of intrahepatic involvement Pre-operation Specificity is calculated as the ratio of true negatives to the sum of true negatives and false positives.
Accuracy of the diagnostic models for the differential diagnosis of congenital and secondary biliary dilatation and the identification of intrahepatic involvement Pre-operation Accuracy is calculated as the ratio of the sum of true positives and true negatives to the total number of cases.
Trial Locations
- Locations (1)
Beijing Tsinghua Chang Gung Hospital
🇨🇳Beijing, Beijing, China