MedTrace Logo

Establishment of a Cohort for Continuous Coronary Artery CTA Scanning and Predictive Analysis of Plaque Progression

NCT06660485 · Status: NOT_YET_RECRUITING · Type: OBSERVATIONAL · Enrollment: 5000

Last updated 2024-10-28

No results posted yet for this study

Summary

This research develops risk prediction models for coronary artery stenosis and vulnerable plaques. The coronary artery stenosis model aims to predict stenosis using multimodal deep learning by integrating text, structured numerical data, and imaging features, focusing on metrics like maximum and cumulative stenosis. The vulnerable plaque model seeks to identify early formation indicators, allowing for timely interventions to prevent plaque rupture, using similar data integration techniques. Additionally, a decision support system is created, comprising a patient database, risk prediction models, and a high-risk alert module. This system facilitates real-time notifications to healthcare providers when risk thresholds are exceeded, enabling personalized treatment planning and improved patient outcomes.

Conditions

  • CAD - Coronary Artery Disease

Sponsors & Collaborators

  • West China Hospital

    lead OTHER

Eligibility

Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2024-10-30
Primary Completion
2026-03-01
Completion
2026-07-01

Countries

  • China

Study Locations

More Related Trials

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 NCT06660485 on ClinicalTrials.gov