scholarly journals Multimodal MRI of Cerebral Small Vessel Disease

10.5772/25045 ◽  
2012 ◽  
Author(s):  
Bence Gunda ◽  
Gyrgy Vrallyay ◽  
Dniel Bereczki
Keyword(s):  
Small Vessel Disease ◽  
Cerebral Small Vessel Disease ◽  
Small Vessel ◽  
Vessel Disease ◽  
Multimodal Mri

scholarly journals Multimodal MRI in Cerebral Small Vessel Disease

Stroke ◽  
2008 ◽  
Vol 39 (7) ◽  
pp. 1999-2005 ◽  
Author(s):  
Arani Nitkunan ◽  
Tom R. Barrick ◽  
Rebecca A. Charlton ◽  
Chris A. Clark ◽  
Hugh S. Markus
Keyword(s):  
Small Vessel Disease ◽  
Cerebral Small Vessel Disease ◽  
Small Vessel ◽  
Vessel Disease ◽  
Multimodal Mri

scholarly journals Mechanisms of Cognitive Impairment in Cerebral Small Vessel Disease: Multimodal MRI Results from the St George's Cognition and Neuroimaging in Stroke (SCANS) Study

PLoS ONE ◽  
2013 ◽  
Vol 8 (4) ◽  
pp. e61014 ◽  
Author(s):  
Andrew J. Lawrence ◽  
Bhavini Patel ◽  
Robin G. Morris ◽  
Andrew D. MacKinnon ◽  
Philip M. Rich ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
Small Vessel Disease ◽  
Cerebral Small Vessel Disease ◽  
Small Vessel ◽  
Vessel Disease ◽  
Multimodal Mri

scholarly journals Prediction of dementia using diffusion tensor MRI measures: the OPTIMAL collaboration

2021 ◽  
pp. jnnp-2021-326571
Author(s):  
Marco Egle ◽  
Saima Hilal ◽  
A M Tuladhar ◽  
Lukas Pirpamer ◽  
Edith Hofer ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
Diffusion Tensor ◽  
Small Vessel Disease ◽  
Cerebral Small Vessel Disease ◽  
Small Vessel ◽  
Additional Contribution ◽  
Vessel Disease ◽  
Clinical Risk ◽  
Dementia Risk ◽  
Multimodal Mri

ObjectivesIt has been suggested that diffusion tensor imaging (DTI) measures sensitive to white matter (WM) damage may predict future dementia risk not only in cerebral small vessel disease (SVD), but also in mild cognitive impairment. To determine whether DTI measures were associated with cognition cross-sectionally and predicted future dementia risk across the full range of SVD severity, we established the International OPtimising mulTImodal MRI markers for use as surrogate markers in trials of Vascular Cognitive Impairment due to cerebrAl small vesseL disease collaboration which included six cohorts.MethodsAmong the six cohorts, prospective data with dementia incidences were available for three cohorts. The associations between six different DTI measures and cognition or dementia conversion were tested. The additional contribution to prediction of other MRI markers of SVD was also determined.ResultsThe DTI measure mean diffusivity (MD) median correlated with cognition in all cohorts, demonstrating the contribution of WM damage to cognition. Adding MD median significantly improved the model fit compared to the clinical risk model alone and further increased in all single-centre SVD cohorts when adding conventional MRI measures. Baseline MD median predicted dementia conversion. In a study with severe SVD (SCANS) change in MD median also predicted dementia conversion. The area under the curve was best when employing a multimodal MRI model using both DTI measures and other MRI measures.ConclusionsOur results support a central role for WM alterations in dementia pathogenesis in all cohorts. DTI measures such as MD median may be a useful clinical risk predictor. The contribution of other MRI markers varied according to disease severity.

scholarly journals Change in multimodal MRI markers predicts dementia risk in cerebral small vessel disease

Neurology ◽  
2017 ◽  
Vol 89 (18) ◽  
pp. 1869-1876 ◽  
Author(s):  
Eva A. Zeestraten ◽  
Andrew J. Lawrence ◽  
Christian Lambert ◽  
Philip Benjamin ◽  
Rebecca L. Brookes ◽  
...  
Keyword(s):  
White Matter ◽  
Cognitive Decline ◽  
Small Vessel Disease ◽  
Cognitive Change ◽  
Cerebral Small Vessel Disease ◽  
Small Vessel ◽  
Global Functioning ◽  
Vessel Disease ◽  
Microstructural Damage ◽  
Multimodal Mri

Objective:To determine whether MRI markers, including diffusion tensor imaging (DTI), can predict cognitive decline and dementia in patients with cerebral small vessel disease (SVD).Methods:In the prospective St George's Cognition and Neuroimaging in Stroke study, multimodal MRI was performed annually for 3 years and cognitive assessments annually for 5 years in a cohort of 99 patients with SVD, defined as symptomatic lacunar stroke and confluent white matter hyperintensities (WMH). Progression to dementia was determined in all patients. Progression of WMH, brain volume, lacunes, cerebral microbleeds, and a DTI measure (the normalized peak height of the mean diffusivity histogram distribution) as a marker of white matter microstructural damage were determined.Results:Over 5 years of follow-up, 18 patients (18.2%) progressed to dementia. A significant change in all MRI markers, representing deterioration, was observed. The presence of new lacunes, and rate of increase in white matter microstructural damage on DTI, correlated with both decline in executive function and global functioning. Growth of WMH and deterioration of white matter microstructure on DTI predicted progression to dementia. A model including change in MRI variables together with their baseline values correctly classified progression to dementia with a C statistic of 0.85.Conclusions:This longitudinal prospective study provides evidence that change in MRI measures including DTI, over time durations during which cognitive change is not detectable, predicts cognitive decline and progression to dementia. It supports the use of MRI measures, including DTI, as useful surrogate biomarkers to monitor disease and assess therapeutic interventions.

scholarly journals Cerebral small vessel disease or intracranial large vessel atherosclerosis may carry different risk for future strokes

2020 ◽  
Vol 5 (2) ◽  
pp. 128-137
Author(s):  
Huimin Chen ◽  
Yuesong Pan ◽  
Lixia Zong ◽  
Jing Jing ◽  
Xia Meng ◽  
...  
Keyword(s):  
Regression Models ◽  
Small Vessel Disease ◽  
Cerebral Small Vessel Disease ◽  
Arterial Stenosis ◽  
Small Vessel ◽  
Minor Stroke ◽  
Bleeding Events ◽  
Stroke Outcomes ◽  
Vessel Disease ◽  
Increased Risk

BackgroundThe effect of cerebral small vessel disease (CSVD) and intracranial arterial stenosis (ICAS) on stroke outcomes remains unclear.MethodsData of 1045 patients with minor stroke or transient ischaemic attack (TIA) were obtained from 45 sites of the Clopidogrel in High-Risk Patients with Acute Non-disabling Cerebrovascular Events (CHANCE) trial. We assessed the associations of burdens of CSVD and ICAS with new strokes and bleeding events using multivariate Cox regression models and those with modified Rankin Scale (mRS) scores using ordinal logistic regression models.ResultsAmong the 1045 patients, CSVD was present in 830 cases (79.4%) and ICAS in 460 (44.0%). Patients with >1 ICAS segment showed the highest risk of new strokes (HR 2.03, 95% CI 1.15 to 3.56, p=0.01). No association between CSVD and the occurrence of new strokes was found. The presence of severe CSVD (common OR (cOR) 2.01, 95% CI 1.40 to 2.89, p<0.001) and >1 ICAS segment (cOR 2.15, 95% CI 1.57 to 2.93, p<0.001) was associated with higher mRS scores. Severe CSVD (HR 10.70, 95% CI 1.16 to 99.04, p=0.04), but not ICAS, was associated with a higher risk of bleeding events. Six-point modified CSVD score improved the predictive power for bleeding events and disability.InterpretationCSVD is associated with more disability and bleeding events, and ICAS is associated with an increased risk of stroke and disability in patients with minor stroke and TIA at 3 months. CSVD and ICAS may represent different vascular pathologies and play distinct roles in stroke outcomes.Trial registration numberNCT00979589

scholarly journals Lenticulostriate artery combined with neuroimaging markers of cerebral small vessel disease differentiate the pathogenesis of recent subcortical infarction

2021 ◽  
pp. 0271678X2199262
Author(s):  
Shuai Jiang ◽  
Tian Cao ◽  
Yuying Yan ◽  
Tang Yang ◽  
Ye Yuan ◽  
...  
Keyword(s):  
Magnetic Resonance ◽  
Middle Cerebral Artery ◽  
Cerebral Artery ◽  
Small Vessel Disease ◽  
Cerebral Small Vessel Disease ◽  
Small Vessel ◽  
Vessel Disease ◽  
Branch Atheromatous Disease ◽  
Lenticulostriate Artery ◽  
Subcortical Infarction

Recent subcortical infarction (RSI) in the lenticulostriate artery (LSA) territory with a non-stenotic middle cerebral artery is a heterogeneous entity. We aimed to investigate the role of LSA combined with neuroimaging markers of cerebral small vessel disease (CSVD) in differentiating the pathogenic subtypes of RSI by whole-brain vessel-wall magnetic resonance imaging (WB-VWI). Fifty-two RSI patients without relevant middle cerebral artery (MCA) stenosis on magnetic resonance angiography were prospectively enrolled. RSI was dichotomized as branch atheromatous disease (BAD; a culprit plaque located adjacent to the LSA origin) (n = 34) and CSVD-related lacunar infarction (CSVD-related LI; without plaque or plaque located distal to the LSA origin) (n = 18). Logistic regression analysis showed lacunes (odds ratio [OR] 9.68, 95% confidence interval [CI] 1.71–54.72; P = 0.010) and smaller number of LSA branches (OR 0.59, 95% CI 0.36–0.96; P = 0.034) were associated with of BAD, whereas severe deep white matter hyperintensities (DWMH) (OR 0.11, 95% CI 0.02–0.71; P = 0.021) was associated with CSVD-related LI. In conclusion, the LSA branches combined with lacunes and severe DWMH may delineate subtypes of SSI. The WB-VWI technique could be a credible tool for delineating the heterogeneous entity of SSI in the LSA territory.

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