Computational Medical Imaging and Prediction of Diffusion/FLAIR Mismatch in Stroke Patients — RADIOMIXSTROKE  

Stroke Clinical Trial

Official title: Computational Medical Imaging (Radiomics) and Prediction of Diffusion/FLAIR Mismatch in Stroke Patients

Status Active, not recruiting

Clinical Trial Summary

Stroke is a public health issue and a priority for our institution. MRI plays an essential role in the management of stroke. In this context, the contribution of MRI is diagnostic, etiological and prognostic. Among the MRI parameters evaluated in the acute phase of the stroke, the evaluation of the mismatch between the DIFFUSION and FLAIR sequences is crucial as it will directly contribute to the therapeutic decision. A FLAIR-diffusion mismatch, i.e., a lesion with a diffusion but not a FLAIR hypersignal, identifies patients whose time of onset of symptoms is probably less than 4.5 hours. It is therefore understandable that the main arterial recanalization techniques performed in the acute phase are primarily reserved for patients with a positive mismatch. In current practice, mismatch assessment is performed subjectively, by visually comparing the two sequences, which is known to be the cause of a lack of reproducibility and diagnostic performance. Computational medical imaging techniques ("radiomics") have recently gained momentum and offer the prospect of automated and therefore more reproducible analysis of medical imaging data. In stroke patients, radiomics extracted from FLAIR imaging could thus contribute to describe the "diffusion flair" mismatch in a continuous and objective way. For the time being, data analysis cannot be performed in real time due to technical constraints. If it is proven that radiomics can reliably analyze the mismatch on the FLAIR sequence alone, the next step will be to make the analysis feasible in clinical routine (i.e. in a time frame adapted to the therapeutic management).

Clinical Trial Description

n/a

Related Conditions & MeSH terms

• Stroke

• NCT number: NCT05192161
• Study type: Observational
• Source: Fondation Hôpital Saint-Joseph
• Status: Active, not recruiting
• Start date: April 5, 2023
• Completion date: December 31, 2023