Neuroimaging and neuropathology indices of cerebrovascular disease burden

Author:

Paradise Matthew B.,Shepherd Claire E.,Wen Wei,Sachdev Perminder S.

Abstract

ObjectiveTo systematically review the literature on the use of both neuroimaging and neuropathologic indices of cerebrovascular disease (CVD) burden, as estimation of this burden could have multiple benefits in the diagnosis and prognosis of cognitive impairment and dementia.MethodsMEDLINE and EMBASE databases were searched (inception to June 2017) to obtain and then systematically review all pertinent neuroimaging and neuropathology studies, where an index of CVD was developed or tested.ResultsTwenty-five neuroimaging articles were obtained, which included 4 unique indices. These utilized a limited range of CVD markers from mainly structural MRI, most commonly white matter hyperintensities (WMH), cerebral microbleeds, and dilated perivascular spaces. Weighting of the constituent markers was often coarse. There were 7 unique neuropathology indices, which were heterogeneous in their regions sampled and lesions examined.ConclusionThere is increasing interest in indices of total CVD burden that incorporate multiple lesions, as traditional individual markers of CVD such as WMH only provide limited information. Neuropathologic indices are needed to validate neuroimaging findings. The studies clearly demonstrated proof of concept that information from multiple imaging measures of CVD provide more information, including a stronger association with cognitive impairment and dementia, than that provided by a single measure. There has been limited exploration of the psychometric properties of published indices and no comparison between indices. Further development of indices is recommended, including the use of data from diffusion tensor and perfusion imaging.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Neurology (clinical)

Reference61 articles.

1. Few studies assessed collinearity or interactions between neuropathologies. Deramecourt et al. 31 assessed the distribution and frequency of individual cerebrovascularlesions and reported vessel wall modifications as the most common pathology. They postulated a staging system for CVD and suggested that initial vessel wall modification (arteriolosclerosis, CAA, or both) could lead to perivascular space changes and parenchymal damage, which manifest as either white matter changes or microinfarcts. The weighting of the constituent neuropathologies was then based on the frequency and presumed order of these lesions. Several SVD studies 33 – 35 used a semiquantitative scale to reflect the presumed progression of microvascular disease, often with visual aids. The majority of studies included pathologic markers based on a priori knowledge without an explicit description of weighting of individual pathologies. Two studies examined the univariate associations of lesions with cognitive impairment to help construct an index. Skrobot et al. 11 found that 7 of their 14 agreed-upon neuropathologies were associated with cognitive impairment. These were then entered into a multivariable regression model to identify which combination of pathologies was most strongly associated with cognitive impairment and they reported that a single pathology predicted cognitive impairment with 60%–65% accuracy, but using the best 3 predictors increased this to 78%. Further, having 1, 2, or 3 of these pathologies predicted cognitive impairment with 38%, 75%, and 95% accuracy, respectively. Strozyk et al. 32 reported that all their macrovascular lesions were associated with VaD: large infarcts, lacunar infarcts, and leukoencephalopathy. However, when considered together, only the presence of large infarcts remained significant.

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