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NCT06162520
Congenital Biliary Dilatation Diagnosis Based on 3D Morphological Characteristics
trial testing Contrast-enhanced computed tomography (CECT) and 3D morphological analysis in Congenital Biliary Dilatation in 550 participants. Completed in 16 December 2022.
16 December 2022
Quick facts
| Lead sponsor | Tsinghua University |
|---|---|
| Status | Completed |
| Study type | OBSERVATIONAL |
| Enrollment | 550 |
| Start date | 17 December 2021 |
| Primary completion | 16 December 2022 |
| Estimated completion | 16 December 2022 |
| Sites | 1 location across China |
Drugs / interventions tested
- Contrast-enhanced computed tomography (CECT) and 3D morphological analysis
Conditions studied
- Congenital Biliary Dilatation — all drugs for Congenital Biliary Dilatation →
Sponsor
Tsinghua University
Who can join
Eligibility, any sex, with Congenital Biliary Dilatation. Patients with the condition only — healthy volunteers not accepted.
Sponsor's own description
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.
Publications & conference data
1 peer-reviewed publication reference this trial (live from Europe PMC):
-
Novel 3D morphological characteristics for congenital biliary dilatation diagnosis: a case-control study.
Dou J, Jiang N, Zeng J, Wang S, et al · · 2024 · cited 1× · PMID 38376858 · DOI 10.1097/js9.0000000000001204
Verify or expand the search:
- PubMed search for NCT06162520
- Europe PMC full search
- ASCO Meeting Library
- ESMO Meeting Library
- bioRxiv preprints
- medRxiv preprints
- Google Scholar
Related trials
Other recruiting trials for Congenital Biliary Dilatation
Currently open trials in the same condition.
- NCT06418490 — The Application of Digital Intelligent Diagnostic and Therapeutic Technology in Biliary Dilation Diagnosis · recruiting
Other Tsinghua University trials
Trials by the same sponsor.
- NCT07171086 — AI-POCUS for Maternal and Neonatal Health in Ethiopia · Phase 4 · not yet recruiting
- NCT06980467 — Evaluation of AI-Generated Clinical Advice by Physicians · NA · not yet recruiting
- NCT06962423 — AI-driven Automated Biomedical Research · NA · not yet recruiting
- NCT06923410 — Clinical Intelligent Management System - Multilingual Exploration · NA · recruiting
- NCT06893068 — Clinical Intelligent Management System Pragmatic RCT · NA · recruiting
Verify against primary sources
- ClinicalTrials.gov — authoritative US registry record
- WHO ICTRP — international registry index
- EU Clinical Trials Register
- Sponsor press releases (Google)
- Trial protocol + status: ClinicalTrials.gov NCT06162520 (US National Library of Medicine, public domain)
- Publications: Europe PMC API search by NCT ID, retrieved 10 June 2026
- Drug + disease cross-links: matched in real time against Drug Landscape's normalised drug + company + condition tables
- Sponsor: as reported to ClinicalTrials.gov by Tsinghua University
- Last refreshed: 8 December 2023
Drug Landscape aggregates and links these public records for informational use only. Always verify against the primary source before clinical or regulatory decisions. Canonical URL: https://druglandscape.com/trial/NCT06162520.
Primary sources · FDA · ClinicalTrials.gov · EMA · SEC EDGAR · ChEMBL · Wikidata · full sourcing