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Study of Carotid Artery Stenosis Through the Integration of Multimodal Imaging and Computational Fluid Dynamics

NCT06294496 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 40

Last updated 2024-03-05

No results posted yet for this study

Summary

Ischemic stroke affects 2.5 to 3 million people annually in China, ranking as the leading cause of death and disability. Cervical artery stenosis is a significant contributor to this problem, with about 50% of patients experiencing cognitive impairment due to reduced cerebral blood flow. Two main surgical approaches, carotid endarterectomy (CEA) and carotid artery stenting (CAS), are used to treat severe cervical artery stenosis, but their effects on various factors remain unclear.

This project collects multimodal imaging data, including CT perfusion and angiography, to create 3D models of cervical artery stenosis. Computational fluid dynamics and AI analysis are used to assess hemodynamics. By monitoring blood flow, oxygen levels, and evaluating postoperative outcomes, the goal is to tailor surgical approaches for better patient outcomes and improved quality of life.

Conditions

  • Carotid Stenosis

Interventions

PROCEDURE

CEA/CAS

carotid endarterectomy (CEA) and carotid artery stenting (CAS)

Sponsors & Collaborators

  • Sichuan Provincial People's Hospital

    lead OTHER

Principal Investigators

  • Chunling Li, MD · Sichuan Provincial People's Hospital

Eligibility

Min Age
18 Years
Max Age
80 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2023-06-01
Primary Completion
2024-12-31
Completion
2024-12-31

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 NCT06294496 on ClinicalTrials.gov