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P2‐108: Automated classification of periventricular and subcortical white matter lesions on MRI
Author(s) -
Verhaaren Benjamin F.J.,
Lijn Fedde,
Klein Stefan,
Lugt Aad,
Niessen Wiro J.,
Breteler Monique M.B.
Publication year - 2009
Publication title -
alzheimer's and dementia
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 6.713
H-Index - 118
eISSN - 1552-5279
pISSN - 1552-5260
DOI - 10.1016/j.jalz.2009.04.419
Subject(s) - hyperintensity , dementia , medicine , population , white matter , artificial intelligence , pathology , pattern recognition (psychology) , magnetic resonance imaging , radiology , computer science , disease , environmental health
There we no significant group differences by age, gender or education. Brain and WMH volumes were significantly different by diagnosis (p< 0.0001 and 0.0005 respectively) with 4% difference in brain and 15% in WMH volumes. The prevalence of MRI infarcts was increased in dementia versus normal and MCI (53%, 30% and 31%, respectively, p 1⁄4 0.025). Cortical infarcts were rare (5% prevalence) with no cortical infarcts identified in normals, and 5% and 9% of MCI and demented, respectively. The prevalence of subcortical infarcts also was increased in dementia versus normal and MCI (37%, 22%, 19% respectively; p 1⁄4 0.01). Finally, age, diagnosis and MRI infarcts were associated with WMH volumes (p <0.0006), whereas age, diagnosis and WMH volumes were significantly associated with brain volume (p 1⁄4 0.026). Conclusions: Evidence of cerebrovascular disease and brain atrophy was common in cognitively impaired subjects of the SCOBHI study. Moreover, MRI infarcts were associated with WMH volume and WMH volume was also significantly associated with brain volume, suggesting that the biology of cognitive impairment in SCOBHI likely reflects, in part, the effects of vascular brain injury.