Cerebral Microbleeds in Cerebrovascular and Neurodegenerative Diseases with Cognitive Impairments

Polyakova, T. A.; Левин, О С

doi:10.1007/s11055-017-0515-y

Cited by 6 publications

(6 citation statements)

References 29 publications

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“…CMBs are very common in medical conditions involving dementia. They can be found in 29% of patients with Alzheimer’s disease and in 85% of people with vascular dementia [ 129 , 130 , 131 , 132 , 133 , 134 , 135 ].…”

Section: Detection Of Cerebral Small Vessel Diseasementioning

confidence: 99%

“…These changes are related to the pathogenesis of CSVD, i.e., the rupture of small arteries or arterioles, disruption of the blood–brain barrier and strokes [ 157 , 158 ]. As mentioned above, these effects can be found in 29% of patients with Alzheimer’s disease and in 85% of people with vascular dementia [ 129 , 130 , 131 , 132 , 133 , 134 , 135 ]. Cerebral microbleeding is also a predictor of the occurrence and severity of cognitive impairment in neurodegenerative disorders [ 131 ].…”

Section: The Significance Of Cerebral Small Vessel Diseasementioning

confidence: 99%

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Cerebral Small Vessel Disease

Litak

Mazurek

Kulesza

et al. 2020

IJMS

101

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Cerebral small vessel disease (CSVD) represents a cluster of various vascular disorders with different pathological backgrounds. The advanced vasculature net of cerebral vessels, including small arteries, capillaries, arterioles and venules, is usually affected. Processes of oxidation underlie the pathology of CSVD, promoting the degenerative status of the epithelial layer. There are several classifications of cerebral small vessel diseases; some of them include diseases such as Binswanger’s disease, leukoaraiosis, cerebral microbleeds (CMBs) and lacunar strokes. This paper presents the characteristics of CSVD and the impact of the current knowledge of this topic on the diagnosis and treatment of patients.

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Section: Detection Of Cerebral Small Vessel Diseasementioning

confidence: 99%

Section: The Significance Of Cerebral Small Vessel Diseasementioning

confidence: 99%

Cerebral Small Vessel Disease

Litak

Mazurek

Kulesza

et al. 2020

IJMS

101

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“…In some studies, DLB participants with CMBs had lower scores on neuropsychological testing than those without, but this association was not found in other studies [75,76,79].…”

Section: Fukui Et Al (2013) Assessed Clinical and Imaging Correlation...mentioning

confidence: 83%

“…An increased number of CMBs was associated with cognitive rather than motor impairment at onset of the disease [58]. In some studies, DLB participants with CMBs had lower scores on neuropsychological testing than those without, but this association was not found in other studies [75,76,79].…”

Section: Cerebral Microbleeds and Minibleedsmentioning

confidence: 99%

The influence of cerebrovascular disease in dementia with Lewy bodies and Parkinson's disease dementia

Hijazi

Yassi

O’Brien

et al. 2022

Euro J of Neurology

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Background and purpose Lewy body dementia (LBD), including dementia with Lewy bodies (DLB) and Parkinson's disease dementia, is a common form of neurodegenerative dementia. The frequency and influence of comorbid cerebrovascular disease is not understood but has potentially important clinical management implications. Methods A systematic literature search was conducted (MEDLINE and Embase) for studies including participants with DLB and/or Parkinson's disease dementia assessing cerebrovascular lesions (imaging and pathological studies). They included white matter changes, cerebral amyloid angiopathy, cerebral microbleeds (CMB), macroscopic infarcts, microinfarcts and intracerebral haemorrhage. Results Of 4411 articles, 63 studies were included. Cerebrovascular lesions commonly studied included white matter changes (41 studies) and CMB (18 studies). There was an increased severity of white matter changes on magnetic resonance imaging (visualized as white matter hyperintensities), but not neuropathology, in LBD compared to Parkinson's disease without dementia and age‐matched controls. CMB prevalence in DLB was highly variable but broadly similar to Alzheimer's disease (0%–48%), with a lobar predominance. No relationship was found between large cortical or small subcortical infarcts or intracerebral haemorrhage and the presence of LBD. Conclusion The underlying mechanisms of white matter hyperintensities in LBD require further exploration, as their increased severity in LBD was not supported by neuropathological examination of white matter. CMB in LBD had a similar prevalence to Alzheimer's disease. There is a need for larger studies assessing the influence of cerebrovascular lesions on clinical symptoms, disease progression and outcomes.

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“…The possibility of cerebral microbleeding increases with age. The occurrence of these tiny chronic particles in the brain is sometimes due to stroke [1][2][3], neurodegenerative disease [4], brain trauma [5], and sometimes amyloid angiography [6]. Significantly, these CMBs are a sign of potential blood loss for brain lesions, with higher numbers illustrating the future danger of intracranial loss, hemorrhagic stroke [7], and cognitive impairment [8].…”

Section: Introductionmentioning

confidence: 99%

A Transfer Learning-Based Approach to Detect Cerebral Microbleeds

Alrumiah¹,

Al-Shargabi²

2022

Computers, Materials &Amp; Continua

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Cerebral microbleeds are small chronic vascular diseases that occur because of irregularities in the cerebrum vessels. Individuals and elderly people with brain injury and dementia can have small microbleeds in their brains. A recent study has shown that cerebral microbleeds could be remarkably risky in terms of life and can be riskier for patients with dementia. In this study, we proposed an efficient approach to automatically identify microbleeds by reducing the false positives in openly available susceptibility-weighted imaging (SWI) data samples. The proposed structure comprises two different pretrained convolutional models with four stages. These stages include (i) skull removal and augmentation, (ii) making clusters of data samples using the k-mean classifier, (iii) reduction of false positives for efficient performance, and (iv) transfer-learning classification. The proposed technique was assessed using the SWI dataset available for 20 subjects. For our findings, we attained an accuracy of 97.26% with a 1.8% false-positive rate using data augmentation on the AlexNet transfer learning model and a 1.1% false-positive rate with 97.89% accuracy for the ResNet 50 model with data augmentation approaches. The results show that our models outperformed the existing approach for the detection of microbleeds.

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Cerebral Microbleeds in Cerebrovascular and Neurodegenerative Diseases with Cognitive Impairments

Cited by 6 publications

References 29 publications

Cerebral Small Vessel Disease

Cerebral Small Vessel Disease

The influence of cerebrovascular disease in dementia with Lewy bodies and Parkinson's disease dementia

A Transfer Learning-Based Approach to Detect Cerebral Microbleeds

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