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

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.

Authors

Publication Details

Journal
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Published
2024-11-26
DOI
https://doi.org/10.58530/2024/0073
Primary Topic
Advanced MRI Techniques and Applications
Type
article
Field-Weighted Citation Impact
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article

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

Bailiang Chen, Pierre Seners, Thomas Courret, Emilien Micard et al.
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Advanced MRI Techniques and Applications
article

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

Bailiang Chen, Pierre Seners, Thomas Courret, Emilien Micard, Michel Thiebaut de Schotten, Hikaru Fukutomi, Pierrick Coupé, Vincent Dousset, Gaultier Marnat, Fanny Munsch, Igor Sibon, Vincent Planche, Thomas Tourdias, Bertrand Lapergue, David Planes, Jean-Marc Olivot
article en

Abstract

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.

Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Openalex Percentile: Top 62%
Advanced MRI Techniques and Applications
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