Radiomics-Derived Brain Age Predicts Functional Outcome After Acute Ischemic Stroke.
Neurology
; 100(8): e822-e833, 2023 02 21.
Article
en En
| MEDLINE
| ID: mdl-36443016
ABSTRACT
BACKGROUND AND OBJECTIVES:
While chronological age is one of the most influential determinants of poststroke outcomes, little is known of the impact of neuroimaging-derived biological "brain age." We hypothesized that radiomics analyses of T2-FLAIR images texture would provide brain age estimates and that advanced brain age of patients with stroke will be associated with cardiovascular risk factors and worse functional outcomes.METHODS:
We extracted radiomics from T2-FLAIR images acquired during acute stroke clinical evaluation. Brain age was determined from brain parenchyma radiomics using an ElasticNet linear regression model. Subsequently, relative brain age (RBA), which expresses brain age in comparison with chronological age-matched peers, was estimated. Finally, we built a linear regression model of RBA using clinical cardiovascular characteristics as inputs and a logistic regression model of favorable functional outcomes taking RBA as input.RESULTS:
We reviewed 4,163 patients from a large multisite ischemic stroke cohort (mean age = 62.8 years, 42.0% female patients). T2-FLAIR radiomics predicted chronological ages (mean absolute error = 6.9 years, r = 0.81). After adjustment for covariates, RBA was higher and therefore described older-appearing brains in patients with hypertension, diabetes mellitus, a history of smoking, and a history of a prior stroke. In multivariate analyses, age, RBA, NIHSS, and a history of prior stroke were all significantly associated with functional outcome (respective adjusted odds ratios 0.58, 0.76, 0.48, 0.55; all p-values < 0.001). Moreover, the negative effect of RBA on outcome was especially pronounced in minor strokes.DISCUSSION:
T2-FLAIR radiomics can be used to predict brain age and derive RBA. Older-appearing brains, characterized by a higher RBA, reflect cardiovascular risk factor accumulation and are linked to worse outcomes after stroke.
Texto completo:
1
Banco de datos:
MEDLINE
Asunto principal:
Isquemia Encefálica
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Accidente Cerebrovascular
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Accidente Cerebrovascular Isquémico
Tipo de estudio:
Prognostic_studies
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Risk_factors_studies
Límite:
Child
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Female
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Humans
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Male
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Middle aged
Idioma:
En
Revista:
Neurology
Año:
2023
Tipo del documento:
Article