Early Screening and Risk Assessment of Polyvascular Disease Using Multi-Modality Imaging and Artificial Intelligence A Study Sponsored by Harbin Medical University

What this Trial Is About

Researchers are investigating polyvascular disease (PVD) using advanced imaging and artificial intelligence to improve early detection and treatment. The study aims to create a comprehensive imaging database for PVD, develop a one-stop screening process, and establish a multidisciplinary approach for diagnosis and treatment. It also seeks to build a combined "eye-heart-brain" warning model using non-invasive imaging techniques and explore molecular communication pathways to identify potential targets for intervention and risk assessment. Participants will undergo multiple imaging tests including Magnetic Resonance Angiography of various arteries and CT angiography of coronary or intracranial arteries. The study combines ocular OCTA with CTA imaging to develop an integrated early warning system. The research also involves collecting multi-omics data to understand disease mechanisms and develop an AI-based risk scoring system. The interventions focus on using non-invasive imaging methods to screen and evaluate PVD comprehensively. During the study, participants will be monitored and assessed through imaging tests and clinical evaluations to measure major adverse cardiovascular events (MACE) and plaque characteristics over one year. Researchers will track the participants' cardiovascular health and disease progression using the collected imaging and biomarker data. The study requires participants to provide informed consent and follow scheduled evaluations to help build a full-cycle control information platform and risk warning model for PVD.

An Imaging Study of Polyvascular Disease