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Study identifier: NCT06793787 Synced from ClinicalTrials.gov · July 29, 2026
● Recruiting

Risk Evaluation by COronary Imaging and Artificial intelliGence Based fuNctIonal analyZing tEchniques - IV

Condition: Coronary Artery Disease · Coronary Atheroscleroses · Acute Coronary Syndromes (ACS)  ·  Sponsor: Ruijin Hospital

PhaseN/A
Planned participants200
Who can joinAll sexes, 18 Years to no upper limit
Healthy volunteersNo

About this study

This study is a single-center, prospective cohort study. The study is designed to identify novel circulating biomarkers for early prediction of high-risk coronary plaques. 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 detected by noninvasive coronary CT angiography (CCTA) or invasive coronary angiography (ICA), will be consecutively enrolled. Optical coherence tomography (OCT), with or without other intracoronary imaging modalities such as intravascular ultrasound (IVUS) and near infrared spectroscopy (NIRS), will be performed. Liquid chromatography-mass spectrometry (LC-MS/MS), bioinformatic analysis, and machine learning methods will be performed to characterize plasma proteomic profiles. The cohort will be followed-up every 3 months for 2 years. The association of novel biomarkers with the occurrence of major adverse cardiovascular events (MACEs) will be examined.

This description comes directly from the study's public registry record.

Talk to the study team

Xiao Qun Wang, M.D.,Ph.D.  ·  +86 21 64370045  ·  xiaoqun_wang@hotmail.com

Shuo Feng, M.D.,Ph.D.  ·  +86 21 64370045  ·  fengshuorv@hotmail.com

Always discuss trial participation with your own doctor first.

Locations (1)

Ruijin Hospital, Shanghai Jiaotong University School of MedicineShanghai, Shanghai Municipality, ChinaRecruiting

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Source record: clinicaltrials.gov/study/NCT06793787