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Automated Volume Assessment of Acute Stroke (AVAAS)

F

Fondation Ophtalmologique Adolphe de Rothschild

Status

Completed

Conditions

Stroke, Software Verification, Diffusion Weighted MRI, Neuroimaging

Treatments

Diagnostic Test: specific MRI sequences

Study type

Observational

Funder types

NETWORK

Identifiers

NCT03618251
FCD_2017_20

Details and patient eligibility

About

Stroke is a common disease. It is increasingly managed in non-specialized centers.

The volume of the lesion, evaluated on the diffusion weighted imaging, is a prognostic factor of clinical progression and is useful for the treatment decision.

There is therefore a real interest in having a reliable software able to detect the stroke and evaluate the volume of the cerebral infarction. The aim is to provide rapid information to the interventional neuroradiologist and optimize the care of the patient.

The Alberta Stroke Program Early Computed Tomography Score currently used to predict response to treatment divides the territory of the middle cerebral artery. It has a few limitations, it is unreproducible and concerns only the territory of the middle cerebral artery.

Manual volumetry is a long and also not very reproducible technique. The aim of our study is to evaluate the reproducibility and diagnostic performances of the automated segmentation software based on the diffusion weighted imaging sequence, and to compare it to manual and semi-automatic measurements.

Enrollment

406 patients

Sex

All

Ages

18+ years old

Volunteers

No Healthy Volunteers

Inclusion and exclusion criteria

Inclusion Criteria:

  • Patients admitted for a recent neurological deficit (less than 24 hours), suspected for a stroke.

Non inclusion criteria :

  • Pregnant or breastfeeding women
  • Patients with absolute contraindications to MRI

Trial design

406 participants in 1 patient group

ischemic stroke
Description:
all patients with a suspicion of ischemic stroke
Treatment:
Diagnostic Test: specific MRI sequences

Trial contacts and locations

1

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Data sourced from clinicaltrials.gov

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