1. Establish a multimodality imaging database for PVD, improve the one-stop screening process for early PVD based on artificial intelligence, build a full-cycle control information platform, and promote the construction and standardization of a multidisciplinary co-morbidity and co-management diagnosis and treatment model. 2. Based on non-invasive, zero-contrast ocular OCTA combined with one-stop CTA imaging of the heart and brain, construct an integrated "eye-heart-brain" early warning model for PVD, and explore a potential non-invasive and convenient early warning system for PVD. 3. Based on the multi-omics, investigate EVs-mediated intercellular communication network, elucidate the roles and regulatory mechanisms of EVs in the development of PVD, search for potential targets for intervention, and construct an artificial intelligence-based "pan-vascular score" risk assessment system based on the combination of multi-modality imaging and multi-omics biomarkers.
Study Type
OBSERVATIONAL
Enrollment
1,100
Magnetic Resonance Angiography of intracranial artery, carotid artery, renal artery and lower extremity artery, CT angiography of coronary artery or intracranial artery
The Second Affiliated Hospital of Harbin Medical University
Harbin, Heilongjiang, China
RECRUITINGTask1: MACE
All cause death, stroke, myocardial reinfarction, unplanned revascularization, lower extremity artery disease
Time frame: 1 year
Task2: Plaque characteristics
Plaque morphology on OCT
Time frame: 1 year
This platform is for informational purposes only and does not constitute medical advice. Always consult a qualified healthcare professional.