Skip to main content
OpenTrials
Not Yet Recruiting

NCT Number: NCT06660485

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

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.

Not Yet Recruiting

Trial opening soon.

Get Notified

Key information

Conditions

CAD - Coronary Artery Disease Arterial Occlusive Diseases Arteriosclerosis Cardiovascular Diseases Coronary Artery Disease Coronary Disease Heart Diseases Myocardial Ischemia Vascular Diseases

Sex eligibility

All sexes

Study type

Observational

Primary location

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

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.

Treatment and study plan

Primary outcomes

  1. Maximum Coronary Stenosis (MAXS)

    Time frame: 2 year

    In 18 vascular segments, each segment is scored based on the degree of stenosis. The scoring criteria are as follows: no stenosis (0%) is scored as 0 points, mild stenosis (1%-24%) is scored as 1 point, moderate stenosis (25%-49%) is scored as 2 points, significant stenosis (50%-69%) is scored as 3 points, severe stenosis (70%-99%) is scored as 4 points, and total occlusion (100%) is scored as 5 points. MAXS represents the score of the single segment with the highest score among the 18 vascular segments.

Secondary outcomes

  1. Cumulative Coronary Stenosis (SIS):

    Time frame: 2 year

    Each segment with a lesion among the 18 vascular segments is assigned a score of 1 point. If a segment does not have a lesion, it is scored as 0 points. The total score of SIS is the sum of the scores of all vascular segments with lesions.

  2. Segment Involvement Score (SSS):

    Time frame: 2 year

    First, each lesion is scored based on its degree of stenosis, using the same scoring criteria as MAXS. Then, the scores of each lesion are accumulated based on their degree of stenosis (no stenosis is 0 points, mild stenosis is 1 point, moderate stenosis is 2 points, significant stenosis is 3 points, severe stenosis is 4 points, and total occlusion is 5 points). Finally, the scores of the 18 vascular segments are summed to obtain SSS.

Study contacts

Contact information is provided by the study sponsor or research team.

Yong He, MD

CONTACT

[email protected]

18980602038

Sponsors and collaborators

Lead sponsor

West China Hospital

Other

Registry information

Official study title

Establishment of a Cohort for ConTinuous COronary CTA SCanning And PredicTive Analysis of Plaque Progression (TOCCATA)

Acronym: TOCCATA

Important dates

Study start
2024
Primary completion
2026
Study completion
2026
First posted
Oct 28, 2024
Registry last updated
Oct 28, 2024

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

Related clinical trials

Published trials that share one or more normalized conditions with this study.