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22. European Stroke Conference Table 1: Imaging parameters measuring leukoaraiosis, brain atrophy, number of lacunes and number of microbleeds stratified by collateral status. Good Col-lateral Sta-tus Poor Collateral Status 528 © 2013 S. Karger AG, Basel Scientific Programme p value Volume of periventricular hyper-intensity (median, IQR in ml) 7.5(2.7-10) 4.4(1.7-7.5) 0.04 Brain volume (median, IQR as ratio) 0.74(0.7- 0.77) 0.72(0.7-0.75) 0.18 Number of Lacunes (median, IQR) 0(0-1) 0(0-1) 0.56 Number of microbleeds(median, IQR) 0(0) 0(0) 0.42 Table 2: Correlation matrix of variables mentioned in text (p values in brackets are after correction for multiple comparisons by using the method of Sidak) Volume of pe-riventricular hyperintensity Brain volu-me (ratio) Number of lacu-nes Number of microbleeds Age Volume of periven-tricular hyperin-tensity 1 Brain vo-lume (ra-tio) negative 0.35(0.002) 1 Number of lacunes 0.43(0.0001) negative 0.31 (0.01) 1 Number of microb-leeds 0.11(0.92) 0.08 (0.99) 0.1 (0.91) 1 Age 0.52 (<0.001) negati-ve 0.55 (<0.001) 0.27(0.04) 0.04(1) 1 455 Small vessel stroke and white matter disease Hippocampal and amygdala size in patients with ischemic stroke: does small vessel disease play a role? Y.K. Chen1, W.M Xiao2, K.S. Wong3, W.K Tang4 Dongguan People’s Hospital, Dongguan, CHINA1, Dongguan People’s Hospital, Dongguan, CHI-NA2, the Chinese University of Hong Kong, Hong-Kong, HONG-KONG3, the Chinese University of Hong Kong, Hong-Kong, HONG-KONG4 Background Regional brain atrophy is common in patients with ischemic stroke, which may arise from aging, as well as ischemic lesions. The effect of small vessel disease (SVD) on the atrophy of the hippocam-pus and amygdala remains uncertain. Methods One hundred patients with ischemic stroke formed the study population. Automatic MRI segmenta-tion was used to assess the volume of the hippocampus, amygdala, cortical grey matter (CGM) and white matter lesions (WMLs). Logistic regressions were performed to find the predictors of smaller standardized volumes of the hippocampus, amygdala and CGM. Results The mean age of these subjects was 69.0+/-8.7 years. Sixty-two (62.0%) of them were male. Elev-en (11.0%) subjects had a history of prior stroke. The mean volumes of and ICV and CGM were 1446.82+/-173.62 and 574.12+/-75.31 cm3, respectively, yielding a CGM/ICV ratio of 0.397. The mean volumes (sum of left and right side) of the hippocampus and amygdala were 7.36+/-0.91 and 2.81+/-0.42 cm3, respectively. The standardized volume of the hippocampus and the amygdala sig-nificantly correlate with WMLs volume (r=-0.523, P<0.001 and r=-0.442, P<0.001, respectively). In the multivariate logistic regression of smaller standardized hippocampal volume, sex (male, odds ratio OR =5.714, 95% C.I.= 1.754-18.519; P=0.04) and WMLs volume (OR= 1.896, 95% C.I.= 1.226-2.849, P=0.004) were significant predictors. For smaller standardized volume of amygdala, age was the only significant correlate (OR=1.062, 95%CI=1.005-1.123; P=0.033) while WMLs vol-ume showed only a trend (P=0.070) to be predictive of small volume. For smaller CGM, age and male sex were the significant predictors. Conclusions Hippocampus may be vulnerable to SVD in patients with ischemic stroke. Hippocampal atrophy may result from a combination of ischemic and degenerative pathologies.


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