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

NCT ID: NCT06660485

Last Updated: 2024-10-28

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

NOT_YET_RECRUITING

Total Enrollment

5000 participants

Study Classification

OBSERVATIONAL

Study Start Date

2024-10-30

Study Completion Date

2026-07-01

Brief Summary

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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.

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Detailed Description

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Conditions

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CAD - Coronary Artery Disease

Study Design

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Observational Model Type

COHORT

Study Time Perspective

PROSPECTIVE

Study Groups

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Continuous CCTA Scanning Cohort

No interventions assigned to this group

Eligibility Criteria

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Inclusion Criteria

Patients who have undergone multiple consecutive CCTA examinations.

Exclusion Criteria

Patients who have undergone only a single CCTA examination. Patients whose CCTA image quality is poor and cannot be analyzed.
Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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West China Hospital

OTHER

Sponsor Role lead

Responsible Party

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Yong He

Prof.

Responsibility Role PRINCIPAL_INVESTIGATOR

Locations

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West China Hospital of Sichuan University

Sichuan, Chengdu, China

Site Status

Countries

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China

Central Contacts

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Yong He, MD

Role: CONTACT

[email protected]
18980602038

Facility Contacts

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Junyan Zhang

Role: primary

[email protected]
18848242671

Other Identifiers

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WestChinaH-CVD-007

Identifier Type: -

Identifier Source: org_study_id

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