This is a single-center, prospective cohort study. This study is designed to accurately analyze coronary artery plaque characteristics and local hemodynamic parameters in patients diagnosed with chronic coronary syndrome (CCS) or non-ST-segment elevation acute coronary syndrome (NSTE-ACS), with marginal lesions or obstructive lesions in major coronary arteries by multimodality imaging including noninvasive coronary CT angiography (CCTA) and intracoronary imaging techniques, such as intravascular ultrasound (IVUS), optical coherence tomography (OCT), and near infrared spectroscopy (NIRS). The purpose of this study is to improve the accuracy and depth of plaque analysis by CCTA under the guidance of intracoronary imaging, therefore constructing a new CCTA-based high-risk plaque model.
Eligibility
Sex
ALL
Min age
18 Years
Max age
—
Healthy volunteers
No
Inclusion Criteria:
* Age ≥ 18 years
* Patients with CCS or NSTE-ACS
* Receive CCTA scan, with marginal lesions (DS between 40%-69%) or obstructive lesions (DS ≥70% or CT-FFR \<0.8) in major coronary arteries
* Receive invasive coronary angiography and intracoronary imaging examination, including IVUS, OCT, NIRS, within 1 month after CCTA
Exclusion Criteria:
* Unsuitable for CCTA (such as severe renal impairment, uncontrolled thyroid condition, allergic to iodine, etc.)
* Receive percutaneous coronary intervention (PCI) within 6 months
* Prior history of myocardial infarction or heart failure
* Prior history of coronary artery bypass graft (CABG)
* Abnormal liver function (serum alanine aminotransferase \[ALT\] level exceeding 3 times the upper limit of normal) or abnormal kidney function (eGFR ≤30%)
* Familial hypercholesterolemia
* Estimated survival ≤ 1 year
* Malignant tumor
* Pregnant or lactation, or have the intention to give birth within one year
* Poor compliance, unable to follow-up
Primary outcome measure(s)
Prediction performance of high-risk plaques by CCTA — 2 Years By using intracoronary imaging as the 'gold standard', the new CCTA model generated by machine learning will be compared with traditional CCTA models in the prediction performance of high-risk plaques (area under receiver operating characteristics curve, etc.)
Trial sites (1)
Facility
City
Region
Status
Ruijin Hospital, Shanghai Jiaotong University School of Medicine
This page summarises publicly available registry data for informational purposes — not medical advice. Eligibility is determined by each study team; patients should discuss participation with their clinician.
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