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Part1Investigation Of Leukoaraiosis In Acute Ischaemic Stroke Patients Part2Quantitative Analysis Of White Matter Hyperintensity In Acute Ischaemic Stroke Patients

Posted on:2013-01-09Degree:DoctorType:Dissertation
Country:ChinaCandidate:X F LiuFull Text:PDF
GTID:1264330401456089Subject:Clinical Medicine
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Objective——To investigate the leukoaraiosis in acute ischaemic stroke patients, analyze the risk factor of leukoaraiosis, and explore the severity and distribution of leukoaraiosis in different clinical stroke subtype.Methods——1699who had acute ischaemic stroke, and who had baseline characteristics recorded using standardized questionnaire, and whohad brain MRI were enrolled in the present study. The severity of white matter hyperintensity (WMH) was evaluated using.3-point Fazekas scale in both periventricular and deep white matter..Results——The severity of periventricular WMH was positively correlated with deep WMH(P<0.0001). Either age(OR=2.185,95%CI2.004-2.383)or hypertension(OR=2.002,95%CI1.563-2.565) is significantlyassociatedwith the severity of periventricular WMH and that of deep WMH respectively. Gender, diabetes, smoking and hypercholesterolemia show no relationship with white matter hyperintensity. The severity of WMHdiffered among TOAST subtypes(P=0.0022), but notsignificant so among large-artery atherosclerosis stroke, small-vessel occlusive stroke and cardioembolism stroke(P>0.05).Conclusions——In this large population of acute cerebral infarction, the severity of WMH appeared independently associated with age and hypertension.No significant differences of the severity of WMH were detectedamong large-artery atherosclerosis stroke, small-vessel occlusive stroke and cardioembolism stroke categorized using TOAST. Objective——To evaluate the severity of white matter hyperintensity (WMH) in acute ischaemic stroke patients using semi-automatic quantitative analysisand to investigateif WMH distributs symmetricallyin non-stroke adults.Methods——The severity of white matter hyperintensity of92acute ischaemic stroke patients was evaluatedusing6-point Fazekas scale. TheWMH in non-stroke hemisphere was delineated on MRI FLAIR sequences using3D Slicer, and reconstruct the3D model of it, andthe total volume was computed according to a three-dimensional reconstruction map. The WMH in non-stroke adults was delineated on MRI FLAIR sequences, and the total volume for the whole brain and each hemisphere were calculatedsimultaneously. Spearman coefficient was used to test the consistency between the severity score and the volume of WMH.Results——There is linear correlationbetween the severity score and the volume of WMH(Spearman coefficient=0.888884, P<0.0001).Volumes of white matter hyperintensity in left and right hemisphere and hyperintensity in whole brain are statistically correlated (P>0.05).Conclusions——Thelinear correlationbetween severity score and volume of WMH suggested the sufficiency of Fazekas scale for clinical use.White matter hyperintensitydistributedsymmetrically; meaning hyperintensity in one hemisphere may stand for the severity of hyperintensity in whole brain.
Keywords/Search Tags:White matter hyperintensity, periventricular white matter hyperintensity, deep white matter hyperintensity, acute ischaemic stroke, TOAST subtypeswhite matter hyperintensity, semi-quantitative, quantitative
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