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An Imaging Study of Polyvascular Disease

H

Harbin Medical University

Status

Enrolling

Conditions

Polyvascular Disease

Treatments

Diagnostic Test: Magnetic Resonance Angiography, Ocular OCTA, CT Angiography

Study type

Observational

Funder types

Other

Identifiers

NCT06016608
ChiCTR2300074638

Details and patient eligibility

About

  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.

Enrollment

1,100 estimated patients

Sex

All

Ages

18+ years old

Volunteers

No Healthy Volunteers

Inclusion criteria

Task 1:

  1. Patients with coronary artery disease (≥50% stenosis in any coronary artery on coronary angiography)
  2. Age ≥18 years old
  3. Proposed OCT-IVUS integrated imaging system
  4. able to provide written informed consent prior to the start of any procedures related to the study.

Task 2:

  1. patients with coronary artery disease (coronary angiography reveals ≥50% degree of stenosis in any coronary artery) and patients with stroke or TIA (confirmed by a neurologist)
  2. Age ≥ 18 years
  3. able to provide written informed consent prior to the start of any procedures related to the study.

Exclusion criteria

Task 1:

  1. severely tortuous/calcified coronary arteries with anticipated difficulty in completing the OCT-IVUS integrated imaging system
  2. uncontrolled congestive heart failure or acute left heart failure;plan
  3. claustrophobia;
  4. left main stem occlusion;
  5. proposed coronary artery bypass grafting (CABG);
  6. uncontrolled severe ventricular arrhythmia;
  7. active bleeding or severe bleeding tendency;
  8. acute stroke;
  9. patients with hemodynamic instability or unstable cardiac electrical activity (including shock) ;
  10. severe renal insufficiency and/or anuria, except in cases where dialysis treatment has been planned;
  11. contraindications to the application of contrast media;
  12. patients who are severely uncooperative due to psychiatric or serious systemic illness;
  13. Patients who, in the opinion of the investigator, are unsuitable for participation in the study.

Task 2:

  1. patients who are unable to comply with the follow-up schedule;
  2. uncontrolled congestive heart failure or acute left heart failure;
  3. patients with a life expectancy of less than 6 months;
  4. left main stem occlusion;
  5. proposed coronary artery bypass grafting (CABG);
  6. uncontrolled severe ventricular arrhythmia;
  7. active bleeding or severe bleeding tendency;
  8. patients with hemodynamic instability or unstable cardiac electrical activity (including shock) ;
  9. severe renal insufficiency and/or anuria, except in cases where dialysis treatment has been planned;
  10. contraindications to the application of contrast media;
  11. patients who are severely uncooperative due to psychiatric or serious systemic illness;
  12. patients who, in the opinion of the investigator, are not suitable for participation in the study.

Trial design

1,100 participants in 1 patient group

Polyvascular disease
Treatment:
Diagnostic Test: Magnetic Resonance Angiography, Ocular OCTA, CT Angiography

Trial contacts and locations

1

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Central trial contact

Minghao Liu, MD.

Data sourced from clinicaltrials.gov

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