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

Bretzner, Martin (author)
University of Lille,Massachusetts General Hospital,Harvard Medical School
Bonkhoff, Anna K (author)
Schirmer, Markus D (author)
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Hong, Sungmin (author)
Dalca, Adrian (author)
Donahue, Kathleen (author)
Giese, Anne-Katrin (author)
Etherton, Mark R (author)
Rist, Pamela M (author)
Nardin, Marco (author)
Regenhardt, Robert W (author)
Leclerc, Xavier (author)
Lopes, Renaud (author)
Gautherot, Morgan (author)
Wang, Clinton (author)
Benavente, Oscar R (author)
Wasselius, Johan (author)
Lund University,Lunds universitet,Diagnostisk radiologi, Lund,Sektion V,Institutionen för kliniska vetenskaper, Lund,Medicinska fakulteten,Neuroradiologi,Forskargrupper vid Lunds universitet,Stroke Imaging Research group,Diagnostic Radiology, (Lund),Section V,Department of Clinical Sciences, Lund,Faculty of Medicine,Neuroradiology,Lund University Research Groups
Donatti, Amanda (author)
Griessenauer, Christoph (author)
Heitsch, Laura (author)
Holmegaard, Margareta, 1942 (author)
Gothenburg University,Göteborgs universitet,Institutionen för neurovetenskap och fysiologi, sektionen för klinisk neurovetenskap,Institute of Neuroscience and Physiology, Department of Clinical Neuroscience
Jood, Katarina, 1966 (author)
Gothenburg University,Göteborgs universitet,Institutionen för neurovetenskap och fysiologi, sektionen för klinisk neurovetenskap,Institute of Neuroscience and Physiology, Department of Clinical Neuroscience
Jimenez-Conde, Jordi (author)
Kittner, Steven J (author)
Lemmens, Robin (author)
Levi, Christopher R (author)
McArdle, Patrick F (author)
McDonough, Caitrin W (author)
Meschia, James F (author)
Phuah, Chia-Ling (author)
Rolfs, Arndt (author)
Ropele, Stefan (author)
Rosand, Jonathan (author)
Roquer, Jaume (author)
Rundek, Tatjana (author)
Sacco, Ralph L (author)
Schmidt, Reinhold (author)
Sharma, Pankaj (author)
Slowik, Agnieszka (author)
Sousa, Alessandro (author)
Stanne, Tara M, 1979 (author)
Gothenburg University,Göteborgs universitet,Institutionen för biomedicin, avdelningen för laboratoriemedicin,Department of Laboratory Medicine
Strbian, Daniel (author)
Tatlisumak, Turgut (author)
Gothenburg University,Göteborgs universitet,Institutionen för neurovetenskap och fysiologi, sektionen för klinisk neurovetenskap,Institute of Neuroscience and Physiology, Department of Clinical Neuroscience
Thijs, Vincent (author)
Vagal, Achala (author)
Wasselius, Johan (author)
Woo, Daniel (author)
Wu, Ona (author)
Zand, Ramin (author)
Worrall, Bradford B (author)
Maguire, Jane (author)
Lindgren, Arne (author)
Lund University,Lunds universitet,Neurologi, Lund,Sektion IV,Institutionen för kliniska vetenskaper, Lund,Medicinska fakulteten,Klinisk strokeforskning,Forskargrupper vid Lunds universitet,Neurology, Lund,Section IV,Department of Clinical Sciences, Lund,Faculty of Medicine,Clinical Stroke Research Group,Lund University Research Groups,Skåne University Hospital
Jern, Christina, 1962 (author)
Gothenburg University,Göteborgs universitet,Institutionen för biomedicin, avdelningen för laboratoriemedicin,Department of Laboratory Medicine
Golland, Polina (author)
Kuchcinski, Grégory (author)
Rost, Natalia S (author)
Massachusetts General Hospital,Harvard Medical School
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 (creator_code:org_t)
 
2023
2023
English.
In: Neurology. - 1526-632X .- 0028-3878. ; 100:8
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • 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.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.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.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.

Subject headings

MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine (hsv//eng)
MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Neurologi (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Neurology (hsv//eng)

Keyword

Child
Female
Humans
Male
Middle Aged
Brain
diagnostic imaging
Brain Ischemia
diagnostic imaging
complications
Ischemic Stroke
complications
Magnetic Resonance Imaging
methods
Stroke
complications

Publication and Content Type

ref (subject category)
art (subject category)

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