The real estate factor - Quantifying the impact of infarct location on stroke severity

被引:101
作者
Menezes, Nina M.
Ay, Hakan
Zhu, Ming Wang
Lopez, Chloe J.
Singhal, Aneesh B.
Karonen, Jari O.
Aronen, Hannu J.
Liu, Yawu
Nuutinen, Juho
Koroshetz, Walter J.
Sorensen, A. Gregory
机构
[1] Massachusetts Gen Hosp, Dept Radiol, Athinoula A Martinos Ctr Biomed Imaging, Boston, MA 02129 USA
[2] Harvard Mit Div Hlth Sci & Technol, Boston, MA 02129 USA
[3] Massachusetts Gen Hosp, Dept Neurol, Stroke Serv, Boston, MA 02114 USA
[4] Kuopio Univ Hosp, Dept Clin Radiol, SF-70210 Kuopio, Finland
[5] Kuopio Univ Hosp, Dept Neurol, SF-70210 Kuopio, Finland
[6] Helsinki Brain Res Ctr, Funct Brain Imaging Unit, Helsinki, Finland
[7] Finnish Def Forces, Ctr Mil Med, Helsinki, Finland
[8] Univ Turku, Dept Diagnost Radiol, Turku, Finland
关键词
infarcts; magnetic resonance imaging; models; outcome; statistical; stroke;
D O I
10.1161/01.STR.0000251792.76080.45
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Background and Purpose-The severity of the neurological deficit after ischemic stroke is moderately correlated with infarct volume. In the current study, we sought to quantify the impact of location on neurological deficit severity and to delineate this impact from that of volume. Methods-We developed atlases consisting of location-weighted values indicating the relative importance in terms of neurological deficit severity for every voxel of the brain. These atlases were applied to 80 first-ever ischemic stroke patients to produce estimates of clinical deficit severity. Each patient had an MRI and National Institutes of Health Stroke Scale (NIHSS) examination just before or soon after hospital discharge. The correlation between the location-based deficit predictions and measured neurological deficit (NIHSS) scores were compared with the correlation obtained using volume alone to predict the neurological deficit. Results-Volume-based estimates of neurological deficit severity were only moderately correlated with measured NIHSS scores (r=0.62). The combination of volume and location resulted in a significantly better correlation with clinical deficit severity (r=0.79, P=0.032). Conclusions-The atlas methodology is a feasible way of integrating infarct size and location to predict stroke severity. It can estimate stroke severity better than volume alone.
引用
收藏
页码:194 / 197
页数:4
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