Detection of Intracranial Arterial Stenosis by a Deep Learning (DL) Algorithm designed to identify Intracranial Large Vessel Occlusion (LVO)

Recruiting

• Conditions: I66.0; Occlusion and stenosis of middle cerebral artery

• Registration Number: DRKS00034019
• Lead Sponsor: BG Klinikum Unfallkrankenhaus Berlin

Brief Summary

Not available

Detailed Description

Not available

Study Timeline

• Study Start: 2024-05-02
• Last Update Posted: 19 August 2024

Recruitment & Eligibility

• Status: Recruiting
• Sex: All
• Target Recruitment: 1000

Inclusion Criteria

treatment since 10/2022
- emergency CTA for symptoms of stroke
- treatment on stroke unit

Exclusion Criteria

- elective CTA
- no symptoms of ischemic stroke

Study & Design

• Study Type: observational
• Study Design: Not specified

Primary Outcome Measures

Name	Time	Method
umber of intracranial stenosis detected correctly by a deep learning algorithm designed to detect intracranial large vessel occlusion.

Secondary Outcome Measures

Name	Time	Method
Sensitivity and negative predictive value of the DL algorithm for the detection of LVO with regards to intracranial stenosis.