CAD - Coronary Artery Disease
Conditions
Brief 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.
Interventions
None listed
Sponsors
West China Hospital
Study design
Observational model
COHORT
Time perspective
PROSPECTIVE
Eligibility
Sex/Gender
ALL
Healthy volunteers
No
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.
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Maximum Coronary Stenosis (MAXS) | 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
| Measure | Time frame | Description |
|---|---|---|
| Cumulative Coronary Stenosis (SIS): | 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. |
| Segment Involvement Score (SSS): | 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. |
Countries
China
Contacts
Primary ContactYong He, MD
Outcome results
None listed