Cerebral white matter Hyperintensities in HIV–positive patients

2018 ◽  
Vol 14 (1) ◽  
pp. 10-18 ◽  
Author(s):  
Alice Trentalange ◽  
Adolfo Prochet ◽  
Daniele Imperiale ◽  
Jessica Cusato ◽  
Mariacristina Tettoni ◽  
...  
Keyword(s):  
White Matter ◽  
White Matter Hyperintensities ◽  
Cerebral White Matter ◽  
Hiv Positive

scholarly journals Arterial stiffness and progression of cerebral white matter hyperintensities in patients with type 2 diabetes and matched controls: a 5-year cohort study

2021 ◽  
Vol 13 (1) ◽  
Author(s):  
Kristian L. Funck ◽  
Esben Laugesen ◽  
Pernille Høyem ◽  
Brian Stausbøl-Grøn ◽  
Won Y. Kim ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Cohort Study ◽  
White Matter ◽  
Arterial Stiffness ◽  
White Matter Hyperintensities ◽  
Cerebrovascular Diseases ◽  
Study Data ◽  
Cerebral White Matter ◽  
Intracranial Volume

Abstract Background Stroke is a serious complication in patients with type 2 diabetes (T2DM). Arterial stiffness may improve stroke prediction. We investigated the association between carotid-femoral pulse wave velocity [PWV] and the progression of cerebral white matter hyperintensities (WMH), a marker of stroke risk, in patients with T2DM and controls. Methods In a 5-year cohort study, data from 45 patients and 59 non-diabetic controls were available for analysis. At baseline, participants had a mean (± SD) age of 59  ±  10 years and patients had a median (range) diabetes duration of 1.8 (0.8–3.2) years. PWV was obtained by tonometry and WMH volume by an automated segmentation algorithm based on cerebral T2-FLAIR and T1 MRI (corrected by intracranial volume, cWMH). High PWV was defined above 8.94 m/s (corresponding to the reference of high PWV above 10 m/s using the standardized path length method). Results Patients with T2DM had a higher PWV than controls (8.8  ±  2.2 vs. 7.9  ±  1.4 m/s, p  <  0.01). WMH progression were similar in the two groups (p  =  0.5). One m/s increase in baseline PWV was associated with a 16% [95% CI 1–32%], p  <  0.05) increase in cWMH volume at 5 years follow-up after adjustment for age, sex, diabetes, pulse pressure and smoking. High PWV was associated with cWMH progression in the combined cohort (p  <  0.05). We found no interaction between diabetes and PWV on cWMH progression. Conclusions PWV is associated with cWMH progression in patients with type 2 diabetes and non-diabetic controls. Our results indicate that arterial stiffness may be involved early in the pathophysiology leading to cerebrovascular diseases.

Development and validation of morphological segmentation of age-related cerebral white matter hyperintensities

NeuroImage ◽  
2009 ◽  
Vol 47 (1) ◽  
pp. 199-203 ◽  
Author(s):  
Richard Beare ◽  
Velandai Srikanth ◽  
Jian Chen ◽  
Thanh G. Phan ◽  
Jennifer Stapleton ◽  
...  
Keyword(s):  
White Matter ◽  
White Matter Hyperintensities ◽  
Cerebral White Matter ◽  
Morphological Segmentation ◽  
Age Related ◽  
Development And Validation

Abstract TP442: Periventricular Not Deep White Matter Hyperintensities Are Associated With Vascular Cognitive Impairment

Stroke ◽  
2017 ◽  
Vol 48 (suppl_1) ◽  
Author(s):  
Yan Chen ◽  
Renyuan Liu ◽  
Shuwei Qiu ◽  
Yun Xu
Keyword(s):  
Regression Analysis ◽  
Cognitive Impairment ◽  
White Matter ◽  
Linear Regression ◽  
Cognitive Performance ◽  
White Matter Hyperintensities ◽  
Rating Scale ◽  
Linear Regression Analysis ◽  
Vascular Cognitive Impairment ◽  
Cerebral White Matter

Introduction: Cerebral White matter hyperintensities(WMH) are frequent findings on MRI scan. They are well known to correlate with vascular cognitive impairment(VCI). However, controversies still remain about the relationship between WMH locations and cognitive function across studies. Hypothesis: Periventricular WMHs(PWH) rather than deep WMHs(DWH) are associated with cognitive decline in VCI. Methods: Fifty-nine subjects with WMHs on MRI were divided into three groups, normal control(NC), mild cognitive impairment(MCI) and vascular dementia(VaD), according to clinical manifestation and neuropsychological performance. WMH volumes were evaluated by Fazekas rating scale and segmental volumetric. Correlations between cognitive performance and WMH volumes were determined in virtue of Spearman correlation analysis. Receiver operator characteristic (ROC) curves were generated to define the classification cut-off value of WMH volumes for distinguishing VCI versus normal controls. Multiple linear regression analysis was used to predict cognitive performance with WMH volumes and locations after adjusting for sex ,age and education level. Results: Cognitive capacities were gradually declined from NC through MCI to VaD patients while WMH volumes and Fazekas scores altered oppositely. Both PWH and DWH volumes and Fazekas scores were correlated with cognitive performance, and moreover, WMH volumes were correlated with Fazekas scores. ROC analysis showed a cut-off value of PWH rather than DWH to distinguish VCI from NC(AUC=0.745 and 0.635, p =0.001 and 0.076, respectively). Linear regression analysis demonstrated that only PWH volumes were associated with cognitive performance( p < 0.001). Conclusion: Our study demonstrate that PWHs are independent predictors for vascular contribution in white matter lesions and suggest clinicians that PWH should be emphasized on evaluating vascular cognitive impairment related with white matter load.

scholarly journals Carotid Flow Augmentation, Arterial Aging, and Cerebral White Matter Hyperintensities

2018 ◽  
Vol 38 (12) ◽  
pp. 2843-2853 ◽  
Author(s):  
Junichiro Hashimoto ◽  
Berend E. Westerhof ◽  
Sadayoshi Ito
Keyword(s):  
White Matter ◽  
White Matter Hyperintensities ◽  
Cerebral White Matter ◽  
Arterial Aging ◽  
Carotid Flow

IC-P-014: The functional impact of cerebral white matter hyperintensities in the elderly

2009 ◽  
Vol 5 (4S_Part_1) ◽  
pp. P10-P11
Author(s):  
Melissa E. Murray ◽  
Matthew L. Senjem ◽  
John H. Hollman ◽  
Stephen Weigand ◽  
Dennis W. Dickson ◽  
...  
Keyword(s):  
White Matter ◽  
White Matter Hyperintensities ◽  
The Elderly ◽  
Cerebral White Matter ◽  
Functional Impact
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