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An Imaging Study of Polyvascular Disease

NCT06016608 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 1100

Last updated 2024-12-27

No results posted yet for this study

Summary

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.

Conditions

  • Polyvascular Disease

Interventions

DIAGNOSTIC_TEST

Magnetic Resonance Angiography, Ocular OCTA, CT Angiography

Magnetic Resonance Angiography of intracranial artery, carotid artery, renal artery and lower extremity artery, CT angiography of coronary artery or intracranial artery

Sponsors & Collaborators

  • Harbin Medical University

    lead OTHER

Principal Investigators

  • Haibo Jia, MD. Ph.D · The Second Affiliated Hospital of Harbin Medical University

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2023-10-18
Primary Completion
2025-12-31
Completion
2025-12-31

Countries

  • China

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06016608 on ClinicalTrials.gov