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Stroke risk prediction for chronic intracranial artery occlusion patients using AI-based perfusion imaging system

Stroke risk prediction for chronic intracranial artery occlusion patients using AI-based perfusion imaging system

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500103961
Enrollment
Unknown
Registered
2025-06-09
Start date
2024-11-24
Completion date
Unknown
Last updated
2025-06-16

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Chronic cerebral occlusion

Interventions

Prospective:Observational
Retrospective:Observational

Sponsors

Xuanwu Hospital, Capital Medical University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to No maximum

Inclusion criteria

Inclusion criteria: 1. Patients with chronic intracranial arterial occlusion confirmed by cerebral angiography (DSA); 2. Presenting with symptoms related to ischemic stroke and TIA; 3. Received CTP imaging; 4. Participants and their families understood and signed the informed consent form.

Exclusion criteria

Exclusion criteria: 1. Patients with acute cerebrovascular occlusion; 2. Patients with congenital occlusion or structural changes; 3. Patients with bilateral internal carotid or middle cerebral artery occlusion; 4. Patients who cannot undergo CTP imaging.

Design outcomes

Primary

MeasureTime frame
Cerebral perfusion;Stroke event;—

Secondary

MeasureTime frame
Prognostic model accuracy;—

Countries

China

Contacts

Public ContactDelin Liu

Xuanwu Hospital Capital Medical University

dlliu2636@126.com+86 138 1027 3317

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026