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Cerebral small vessel disease is a major contributor to both brain aging and cognitive decline. This study aimed to determine the prevalence of cerebral small vessel disease in a Colombian population over 40 years of age who attended a Radiology and Diagnostic Imaging service for brain MRI between October 2018 and March 2019. This was an observational, cross-sectional and analytical study of 710 adult patients over 40 years of age who attended the Radiology and Diagnostic Imaging service for a brain MRI. The analysed data were obtained from an anonymized database of the service. We studied 710 MRI scans of patients aged between 40 and 104 years. The most frequent risk factor was hypertension (36.2%). Brain abnormalities associated with cerebral small vessel disease, such as white matter hyperintensities, were seen in 56.20% of the population, and brain atrophy was observed in 12.96%. Brain disease prevalence increased with age (23.18% for those aged 55 years, 54.49% for those aged 55-64 years, 69.8% for those aged 65-74 years and 90.53% for those older than 75 years). The prevalence of cerebral small vessel disease in our population was similar to that reported in the world literature, as were the prevalence of the evaluated cardiovascular risk factors. Additionally, we identified an association between hypertension and advanced age with cerebral small vessel disease, with white matter hyperintensities being the most characteristic finding.
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PURPOSE: This study is a systematic review about the WEB device and addresses the efficacy and safety of this device for the endovascular treatment of ruptured and unruptured intracranial aneurysms. MATERIAL AND METHODS: This systematic literature review followed PRISMA-P guidelines and included studies published until 2010. PubMed and ScienceDirect databases were searched, resulting in 22 articles meeting the inclusion criteria. RESULTS: The studies involved 1705 patients and 1224 aneurysms, predominantly wide-neck aneurysms in the middle cerebral artery, internal carotid artery, and basilar artery. The treatment success rate was 28.1%, with the WEB-SL and WEB-SLS devices being commonly used. The immediate post-treatment adequate occlusion rate was 33.3%, increasing to 49.7% at follow-up. Thromboembolic complications occurred in 6.5% of cases, while other complications were observed in 3.1% of cases. The mortality rate associated with the WEB device was low, approximately 1%. CONCLUSION: The WEB device demonstrates favorable outcomes in treating patients with intracranial aneurysms, with adequate occlusion rates improving over time. Thromboembolic complications are the primary concern, but overall complication and mortality rates remain low. Further research is needed to optimize device selection, standardize classification systems, and enhance long-term evaluation and training protocols.
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INTRODUCTION: Three-dimensional (3D) printing has evolved for medical applications as it can produce customized 3D models of devices and implants that can improve patient care. In this study, we aimed to validate the geometrical accuracy of the 3D models of intracranial aneurysms printed using Stereolithography 3D printing technology. MATERIALS AND METHODS: To compare the unruptured intracranial aneurysm mesh between the five patients and 3D printed models, we opened the DICOM files in the Sim&Size® simulation software, selected the region of interest, and performed the threshold check. We juxtaposed the 3D reconstructions and manually rotated the images to get the same orientation when needed and measured deviations at different nodes of the patient and 3D printed model meshes. RESULTS: In the first patient, 80% of the nodes were separated by <0.56 mm and 0.17 mm. In the second patient, the deviations were below 0.17 mm for 80% of the meshes' nodes. In the next three patients, the deviations were below 0.21, 0.23, and 0.11 mm for 80% of the meshes' nodes. Finally, the overall deviation was below 0.21 mm for 80% of the mesh nodes of the five aneurysms. CONCLUSIONS: 3D printed models of intracranial aneurysms are accurate, having surfaces that resemble that of patients' angiographies with an 80% cumulative deviation below 0.21 mm.