Dynamic evolution of infarct volumes at MRI in ischemic stroke due to large vessel occlusion

Le résumé fourni par la source

Motivation: The typical infarct volume courses of stroke patients are still unknown. Goal(s): We aimed to reveal the spatiotemporal evolutions of infarct volumes and show that such charts help anticipate clinical outcomes. Approach: On a dataset of large vessel occlusion stroke patients, we performed unsupervised clustering approach to identify groups and then extrapolated pseudo-longitudinal core volume models across time for each group before assessing the growth phenotypes influence on outcome. Results: We identified three groups with different infarct growth profiles: slow: 11%, intermediate: 62% and fast: 27%, which translated into archetype brain locations. This growth phenotypes significantly predicted the 3-month handicap in two datasets. Impact: Infarct volumes show stereotypical spatiotemporal courses according to the patient phenotype of resistance to ischemia referred to as slow, intermediate, or fast progressors, which help to anticipate the clinical outcome for new patients.

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