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Congenital Biliary Dilatation Diagnosis Based on 3D Morphological Characteristics

NCT06162520 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 550

Last updated 2023-12-08

No results posted yet for this study

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.

Conditions

  • Congenital Biliary Dilatation

Interventions

OTHER

Contrast-enhanced computed tomography (CECT) and 3D morphological analysis

Diagnosis models are established using quantitative morphological characteristics extracted from the 3D reconstructed bile duct from contrast-enhanced computed tomography (CECT) images.

Sponsors & Collaborators

  • Beijing Tsinghua Chang Gung Hospital

    collaborator OTHER

  • Tsinghua University

    lead OTHER

Principal Investigators

  • Huijun Chen, Ph.D. · Tsinghua University

  • Jiahong Dong, M.D. · Beijing Tsinghua Chang Gung Hospital

Eligibility

Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2021-12-17
Primary Completion
2022-12-16
Completion
2022-12-16

Countries

  • China

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06162520 on ClinicalTrials.gov