Cerebral microbleeds in patients with mild cognitive impairment and small vessel disease: The Vascular Mild Cognitive Impairment (VMCI)-Tuscany study
Introduction
Cerebral microbleeds (CMBs) are one of the neuroimaging markers of small vessel disease (SVD) [1], [2]. CMBs are small chronic brain hemorrhages, most likely caused by structural abnormalities of the cerebral small vessels [3]. They are radiologically defined lesions on magnetic resonance imaging (MRI) gradient-echo (GRE) T2* weighted or susceptibility-weighted images (SWI), corresponding histopathologically to focal hemosiderin depositions surrounding small vessels [3], [4]. In recent years, the use of the above-mentioned MRI sequences has led to an increased interest in CMBs, which are now increasingly recognized in different populations, might have a role in the clinical course of SVD and potentially prognostic and therapeutic consequences [5], [6], [7].
CMBs are frequently observed in community dwelling elderly subjects and their prevalence gradually increases with age [8], [9], being around 36% in patients > 80 years [8]. This prevalence further upsurges in the setting of stroke [10], [11], [12], [13] and in some conditions, such as cognitive impairment [14], while patients with no risk factors or known vascular disease may be at lower risk of CMBs [15]. The reported prevalence of CMBs in patients affected by mild cognitive impairment (MCI) ranges from 20 to 44%, also according to different MRI sequences used [16]. The prevalence is even higher in progressive MCI patients compared to stable MCI [17]. Evidence from both clinic-pathological correlations and large epidemiological studies supports differing topographic patterns of CMBs distribution according to their etiology. CMBs in deep or infratentorial regions are hypothesized to be associated with hypertensive microangiopathy, while those in lobar regions may be due to cerebral amyloid angiopathy [3], [18], [19], [20]. Originally thought to be asymptomatic markers of SVD, CMBs have been now considered as relevant contributors to cognitive impairment, both in general elderly populations [21], [22], [23] and in patients affected by SVD [24], [25], although their specific impact on cognition differs in different cohorts [21]. Furthermore, the topographic distribution of CMBs may have specific associations with certain cognitive domains [26], [27].
The reliable rating of CMBs presence, burden (number) and anatomical distribution in the brain using standardized rating scales is an essential prerequisite to investigate their clinical significance. This was also recently recommended in the STandards for ReportIng Vascular changes on nEuroimaging (STRIVE) position paper [2], according to which these lesions have to be recorded in terms of number and distribution applying one of the two available standardized visual scores [2], [3], [28], [29]. The Microbleed Anatomical Rating Scale (MARS) has reported good feasibility [28], [30].
So far, few studies exist that are focused on CMBs and their clinical significance in patients affected by MCI and SVD. The aims of our study were to evaluate in the Vascular Mild Cognitive Impairment (VMCI)-Tuscany Study cohort: 1) the feasibility and reliability of MARS; 2) the presence, number, topographic distribution of CMBs and their possible associations with cognitive performances, independent of their possible associations with other clinical and neuroimaging features.
Section snippets
Participants
The VMCI-Tuscany Study is a multicenter, prospective, observational study carried out in the Tuscany region, Italy. The study was designed to investigate the effect of a large set of clinical, neuroimaging, and biological markers of SVD in predicting the transition from MCI to dementia [31]. The rationale and methodology of VMCI-Tuscany Study have been extensively reported elsewhere [31]. In summary, to be included, patients had to be classified as affected by MCI with SVD according to the
Results
The study sample included 152 patients (126 examined with 1.5 T, 26 with a 3 T machine) with a mean(± SD) age of 75.5(± 6.7) years; 87 (57.2%) were males (Fig. 1).
Inter-rater agreement for evaluation of CMBs, in terms of number and location in the three regions of MARS, ranged from good to very good among the three raters [multi-rater Fleiss kappa (95% CI) ranging from 0.70 (0.61–0.79) to 0.95 (0.80–1.11)]. In particular, for total number of CMBs was 0.70 (0.61–0.79), for deep CMBs was 0.95
Discussion
This study focused on systematic detection of CMBs in a sample of patients affected by MCI with SVD and on the clinical significance of CMBs in terms of cognitive performances. The main findings of our study are the following. First, MARS proved to be a feasible and reliable instrument to rate the burden and location of CMBs with good-very good inter-rater agreement for number and location of lesions in our specific population setting. These data confirm previous reports in different patient
Conclusions
In conclusion, CMBs load may be considered as an independent contributor to cognitive impairment and their topographic distribution may have specific associations with specific cognitive domains in patients with MCI and SVD. The systematic application of a standardized rating scale can be implemented also in the clinical setting to standardize image interpretation. Longitudinal studies may provide more robust information about the CMBs progression and prognostic significance.
Acknowledgements
The study was supported by Tuscany Region Health Programme in the framework of the “Bando Regione Salute 2009”.
References (49)
Cerebral small vessel disease: from pathogenesis and clinical characteristics to therapeutic challenges
Lancet Neurol.
(2010)- et al.
STandards for ReportIng Vascular changes on nEuroimaging (STRIVE v1), Neuroimaging standards for research into small vessel disease and its contribution to ageing and neurodegeneration
Lancet Neurol.
(2013) - et al.
Cerebral microbleeds: a guide to detection and interpretation
Lancet Neurol.
(2009) - et al.
Clinical associations of cerebral microbleeds on magnetic resonance neuroimaging
J. Stroke Cerebrovasc. Dis.
(2014) - et al.
Cerebral microbleeds: a guide to detection and clinical relevance in different disease settings
Neuroradiology
(2013) - et al.
Cerebral microbleeds: histopathological correlation of neuroimaging
Cerebrovasc. Dis.
(2011) - et al.
Histopathologic analysis of foci of signal loss on gradient-echo T2*-weighted MR images in patients with spontaneous intracerebral hemorrhage: evidence of microangiopathy-related microbleeds
AJNR Am. J. Neuroradiol.
(1999) - et al.
Prevalence and risk factors of cerebral microbleeds: an update of the Rotterdam scan study
Stroke
(2010) - et al.
Cerebral microbleeds in the population based AGES-Reykjavik study: prevalence and location
J. Neurol. Neurosurg. Psychiatry
(2008) - et al.
Spontaneous brain microbleeds: systematic review, subgroup analyses and standards for study design and reporting
Brain
(2007)