ABSTRACT
Objective To investigate the clinical, neuroimaging and serum risk factors of cerebral microbleeds (CMBs) in patients with ischemic stroke and find the associations between these risk factors and the location and num?bers of CMBs were also analyzed. Methods One hundred and fifty-three patients with acute ischemic stroke were re?cruited in this study and their data werewas retrospectively analyzed. All of the patients underwent MRI- susceptibility weighted imaging (SWI). The location and numbers of CMBs were recordedexamined. The severity of WMLs was assessed using the Fazekas scale. Logistic regressions were performed to find the predictors of the presence of CMBs. The relation?ships between these risk factors and the location and numbers of CMBs were also analyzed. Results Fifty-nine(38.6%) cases had at least one CMB. The frequency of cortical-subcortical, deep and infratentorial CMBs were 34.0%, 24.8%and 27.5%, respectively. Multivariate logistic regression showed that male sex, hypertension and moderate-to-severe deep white matter hyperintensities (DWMH) were independent risk factors of the presence of CMBs. Adjusted with age and sex, partial correlation showed that hypertension only correlated with the numbers of deep CMBs significantly (r=0.174, P=0.032). Moderate-to-severe DWMH significantly correlated with the numbers of cortical-subcortical and deep CMBs (r=0.285, P<0.001 and r=0.258, P=0.001, respectively). Conclusion Male sex, hypertension and moderate-to-severe DWMH were are independent risk factors of CMBs in patients with ischemic stroke. Hypertension correlates with Deep deep CMBs, while Moderatemoderate-to-severe DWMH correlates with cortical-subcortical and deep CMBs.
ABSTRACT
Objective To investigate the variation law of apparent diffusion coefficient (ADC) and fractional anisotropy (FA) values in patients with cerebral infarction, and to explore the relationship between the changes and the prognosis of cerebral infarct patients. Methods Sixteen patients with cerebral infarction were recruited and divided into 2 groups:good recovery and poor rehabilitation. ADC and FA values were calculated in infarct areas and control areas which were the regions with symmetrical position and the same area as infarct areas. The difference of ADC and FA values in patients at acute and earlier chronic stage between the two areas were analyzed. Results ①At acute stage, ADC values in infarct areas were lower than those in control areas (P0.05), moreover ADC values were higher than that at acute phase (P0.05). Conclusion There are certainly rules in changes of ADC and FA values in patients with cerebral infarction at acute and earlier chronic stage.