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临床试验/NCT06162520
NCT06162520已完成不适用

Congenital Biliary Dilatation Diagnosis Based on 3D Morphological Characteristics

Tsinghua University1 个研究点 分布在 1 个国家目标入组 550 人开始时间: 2021年12月17日最近更新:
适应症

试验速览

阶段
不适用
状态
已完成
入组人数
550
试验地点
1
主要终点
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

研究概览

简要总结

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.

详细描述

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.

研究设计

研究类型
Observational
观察模型
Case Control
时间视角
Retrospective

入排标准

性别
All
接受健康志愿者

入选标准

  • The patients with biliary dilation who underwent contrast-enhanced computed tomography (CECT) at Beijing Tsinghua Chang Gung Hospital from 2014 to 2022.

排除标准

  • Patients without pre-operative CECT scans or developing cholangiocarcinoma due to congenital biliary dilatation.

结局指标

主要结局

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

时间窗: Pre-operation

The area under the ROC curve is calculated by integrating the ROC curve, which plots Sensitivity against 1 - Specificity.

次要结局

  • Sensitivity of the diagnostic models for the differential diagnosis of congenital and secondary biliary dilatation and the identification of intrahepatic involvement(Pre-operation)
  • 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)
  • Specificity of the diagnostic models for the differential diagnosis of congenital and secondary biliary dilatation and the identification of intrahepatic involvement(Pre-operation)
  • Accuracy of the diagnostic models for the differential diagnosis of congenital and secondary biliary dilatation and the identification of intrahepatic involvement(Pre-operation)

研究者

申办方类型
Other
责任方
Principal Investigator
主要研究者

Jiaqi Dou

Principal Investigator

Tsinghua University

研究点 (1)

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