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

Status

Active, not recruiting

Phases

Unknown

Study type

Observational

Source

DRKS

Registry ID

DRKS00034019

Enrollment

1000

Registered

2024-05-02

Start date

2024-06-05

Completion date

Unknown

Last updated

2026-08-03

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

Conditions

I66.0

Interventions

Group 1: 1000 patients, who received CTA of the head and have been treated on the stroke unit for ischemic stroke.

Eligibility

Sex/Gender

All

Age

18 Years to No maximum

Inclusion criteria

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

Exclusion criteria

Exclusion criteria: - elective CTA - no symptoms of ischemic stroke

Design outcomes

Primary

Measure	Time frame
Number of intracranial stenosis detected correctly by a deep learning algorithm designed to detect intracranial large vessel occlusion.	—

Secondary

Measure	Time frame
Sensitivity and negative predictive value of the DL algorithm for the detection of LVO with regards to intracranial stenosis.	—

Countries

Germany

Contacts

Public ContactLeonie Gölz

BG Klinikum Unfallkrankenhaus Berlin

leonie.goelz@ukb.de049-30-56813801

Outcome results

None listed

Source: DRKS (via WHO ICTRP) · Data processed: Aug 9, 2026