Sulcal, ventricular, and white matter changes at MR imaging in the aging brain: data from the cardiovascular health study.

Yue, Nancy Chang; Arnold, Alice M.; Longstreth, W. T.; Elster, A.D.; Jungreis, Charles A.; O’Leary, Daniel H.; Poirier, Virginia C.; Bryan, R. Nick

doi:10.1148/radiology.202.1.8988189

Cited by 218 publications

(237 citation statements)

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“…1 compares VBR computed by the automated method on the cross-sectional pool to the visual ratings of ventricular dilation that were part of the CHS clinical evaluation. Details of the visual rating scale have been described previously [47]. In short, trained neuroradiologists assigned each MR scan an integer score between 1 and 9, with lower scores corresponding to relatively small ventricles and higher scores corresponding to relatively large ones.…”

Section: Discussionmentioning

confidence: 99%

Ventricular volume and dementia progression in the Cardiovascular Health Study

Carmichael

Kuller

López

et al. 2007

Neurobiology of Aging

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Elevated cerebral ventricular volume may be associated with dementia risk and progression. A fullyautomated technique that agreed highly with radiological readings was used to estimate lateral ventricle volume on MR scans done at baseline in 1997-99 of 377 subjects in the Cardiovascular Health Study (CHS) from the Pittsburgh Center. 327 subjects were normal or diagnosed with mild cognitive impairment (MCI) at baseline and were evaluated 4 years later. Baseline ventricular volume was analyzed in multivariate models with age, gender, education level, presence and incidence of cerebral infarcts, and dementia category (normal, MCI, or dementia) at baseline and follow-up as fixed effects. Ventricular volume at baseline was significantly higher among subjects normal at baseline and demented 4 years later. Age, gender, education level, and dementia progression were significant factors affecting ventricular volume. Ventricular volume was higher in dementia compared to MCI, higher in MCI compared to controls, and higher in Possible-Alzheimer's-disease (AD) dementia compared to Probable-AD. Larger ventricles in healthy subjects may indicate susceptibility to, or progression of, dementia-related pathology.

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Section: Discussionmentioning

confidence: 99%

Ventricular volume and dementia progression in the Cardiovascular Health Study

Carmichael

Kuller

López

et al. 2007

Neurobiology of Aging

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“…A white matter hyperintensity (WMH) score was determined by grading the extent of increased white matter signal intensity on the fluid-attenuated inversion recovery sequence images in the periventricular and subcortical white matter area. The grading was based on a 10-point scale (0 to 9), with a higher score indicating more severe white matter grade [32,36]. An example of WMH grading in control subjects and patients with MSA is illustrated in Fig.…”

Section: Methodsmentioning

confidence: 99%

White matter hyperintensities in patients with multiple system atrophy

et al. 2009

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Recent studies have reported that the majority of patients with multiple system atrophy (MSA) had hypertensive heart disease. However, the effect of autonomic failure on the brain in MSA has not been studied. We consecutively enrolled 63 patients with MSA and selected 63 age-and sex-matched healthy subjects. We performed a comparative analysis of cerebrovascular lesions between the patients with MSA and the control subjects and analyzed predisposing factors for cerebrovascular lesions in the patients with MSA. There was no significant difference in lacune and territorial infarcts between the patients with MSA and the control subjects. The median grading score of white matter hyperintensity (WMH) was significantly higher in the patients with MSA (1.0, interquartile range 0.5-2.0) than the control subjects (0.0, interquartile range 0.0-1.0; P \ 0.01). In the patients with MSA, there was strong correlation between the grading score of WMH and supine systolic blood pressure (r = 0.529, P \ 0.001) after adjusting for age. Multiple linear regression analysis showed that age and supine systolic blood pressure was significantly and independently correlated with the grading score of WMH. The present study demonstrates that patients with MSA had more severe WMH and that supine systolic pressure is a major contributing factor for the severity of WMH, suggesting that patients with MSA have target-organ damage of the brain.

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“…The WMH ratings were based on a system developed for the Cardiovascular Health Study (CHS; Bryan, et al 1994;Yue, et al 1997). A numerical rating for the WMHs was assigned by the comparison of each subject's imaging data to predefined CHS visual standards and representative of progressive severity within a 10-point scale (0 through 9).…”

Section: White Matter Hyperintensity Ratingsmentioning

confidence: 99%

“…The rater assigns each MR image a WMH severity score based on its visual similarity to 'prototype' MR images. Typical scales range from low to high severity using 4-point or 10-point scales (Fazekas, et al 1987;Bryan, et al 1994;Yue, et al 1997). This method requires subjective judgment; it describes the WMHs through 4 or 10 crude grades.…”

Section: Introductionmentioning

confidence: 99%

A fully automated method for quantifying and localizing white matter hyperintensities on MR images

Rosano

Butters

et al. 2006

Psychiatry Research: Neuroimaging

178

165

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White matter hyperintensities (WMH), commonly found on T2-weighted FLAIR brain MR images in the elderly, are associated with a number of neuropsychiatric disorders, including vascular dementia, Alzheimer's disease, and late-life depression. Previous MRI studies of WMHs have primarily relied on the subjective and global (i.e., full-brain) ratings of WMH grade. In the current study we implement and validate an automated method for quantifying and localizing WMHs. We adapt a fuzzy connected algorithm to automate the segmentation of WMHs and use a demons-based image registration to automate the anatomic localization of the WMHs using the Johns Hopkins University White Matter Atlas. The method is validated using the brain MR images acquired from eleven elderly subjects with late-onset late-life depression (LLD) and eight elderly controls. This dataset was chosen because LLD subjects are known to have significant WMH burden. The volumes of WMH identified in our automated method are compared with the accepted gold standard (manual ratings). A significant correlation of the automated method and the manual ratings is found (P<0.0001), thus demonstrating similar WMH quantifications of both methods. As has been shown in other studies e.g. (Taylor, et al. 2003)), we found there was a significantly greater WMH burden in the LLD subjects versus the controls for both the manual and automated method. The effect size was greater for the automated method, suggesting that it is a more specific measure. Additionally, we describe the anatomic localization of the WMHs in LLD subjects as well as in the control subjects, and detect the regions of interest (ROIs) specific for the WMH burden of LLD patients. Given the emergence of large neuroimage databases, techniques, such as that described here, will allow for a better understanding of the relationship between WMHs and neuropsychiatric disorders.

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Sulcal, ventricular, and white matter changes at MR imaging in the aging brain: data from the cardiovascular health study.

Abstract: Sulcal width, ventricular size, and white matter signal intensity change with age, sex, and race. Knowledge of these changes is important in appropriate interpretation of MR images of the elderly.

Cited by 218 publications

References 0 publications

Ventricular volume and dementia progression in the Cardiovascular Health Study

Ventricular volume and dementia progression in the Cardiovascular Health Study

White matter hyperintensities in patients with multiple system atrophy

A fully automated method for quantifying and localizing white matter hyperintensities on MR images

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