Stroke lesion size - Still a useful biomarker for stroke severity and outcome in times of high-dimensional models.

Sperber, Christoph; Gallucci, Laura; Mirman, Daniel; Arnold, Marcel; Umarova, Roza M

Sperber, Christoph; Gallucci, Laura; Mirman, Daniel; Arnold, Marcel; Umarova, Roza M.

Afiliação

Sperber C; Department of Neurology, Inselspital, University Hospital Bern, University of Bern, Bern, Switzerland. Electronic address: christoph.sperber@extern.insel.ch.
Gallucci L; Department of Neurology, Inselspital, University Hospital Bern, University of Bern, Bern, Switzerland.
Mirman D; Department of Psychology, University of Edinburgh, Edinburgh, United Kingdom.
Arnold M; Department of Neurology, Inselspital, University Hospital Bern, University of Bern, Bern, Switzerland.
Umarova RM; Department of Neurology, Inselspital, University Hospital Bern, University of Bern, Bern, Switzerland.

Neuroimage Clin ; 40: 103511, 2023.

Article em En | MEDLINE | ID: mdl-37741168

Assuntos

Isquemia Encefálica; Acidente Vascular Cerebral; Humanos; Pessoa de Meia-Idade; Idoso; Idoso de 80 Anos ou mais; Imagem de Difusão por Ressonância Magnética; Prognóstico; Algoritmos; Biomarcadores

Palavras-chave

Lesion volume; Machine learning; NIHSS; Outcome prediction; Sample size; mRS

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Isquemia Encefálica / Acidente Vascular Cerebral Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Aged / Aged80 / Humans / Middle aged Idioma: En Revista: Neuroimage Clin Ano de publicação: 2023 Tipo de documento: Article

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