Austin Health

Title

Radiomics-Derived Brain Age Predicts Functional Outcome After Acute Ischemic Stroke.

Publication Date

2023-02-21

Author(s)

Bretzner, Martin

Bonkhoff, Anna K

Schirmer, Markus D

Hong, Sungmin

Dalca, Adrian

Donahue, Kathleen

Giese, Anne-Katrin

Etherton, Mark R

Rist, Pamela M

Nardin, Marco

Regenhardt, Robert W

Leclerc, Xavier

Lopes, Renaud

Gautherot, Morgan

Wang, Clinton

Benavente, Oscar R

Cole, John W

Donatti, Amanda

Griessenauer, Christoph

Heitsch, Laura

Holmegaard, Lukas

Jood, Katarina

Jimenez-Conde, Jordi

Kittner, Steven J

Lemmens, Robin

Levi, Christopher R

McArdle, Patrick F

McDonough, Caitrin W

Meschia, James F

Phuah, Chia-Ling

Rolfs, Arndt

Ropele, Stefan

Rosand, Jonathan

Roquer, Jaume

Rundek, Tatjana

Sacco, Ralph L

Schmidt, Reinhold

Sharma, Pankaj

Slowik, Agnieszka

Sousa, Alessandro

Stanne, Tara M

Strbian, Daniel

Tatlisumak, Turgut

Thijs, Vincent N

Vagal, Achala

Wasselius, Johan

Woo, Daniel

Wu, Ona

Zand, Ramin

Worrall, Bradford B

Maguire, Jane

Lindgren, Arne G

Jern, Christina

Golland, Polina

Kuchcinski, Grégory

Rost, Natalia S

Type of document

Journal Article

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DOI

10.1212/WNL.0000000000201596

Abstract

While chronological age is one of the most influential determinants of post-stroke 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 stroke patients will be associated with cardiovascular risk factors and worse functional outcomes.

Link

link

Citation

Neurology 2023

Jornal Title

Neurology

ISSN

1526-632X

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