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Clinical Trial Summary

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.

Clinical Trial Description


Study Design

Related Conditions & MeSH terms

NCT number NCT03618251
Study type Observational
Source Fondation Ophtalmologique Adolphe de Rothschild
Status Recruiting
Start date March 15, 2018
Completion date June 15, 2021