An Imaging Study of Polyvascular Disease

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.