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Background: Carotid webs are rare nonatherosclerotic disorders in the carotid artery and are increasingly recognized as factors of ischemic stroke in the young population. Asymptomatic webs can be treated with antithrombotic therapy, whereas symptomatic cases frequently require surgical interventions, including carotid endarterectomy (CEA). However, guidelines for the optimal timing of these treatments remain unestablished, especially compared to atherosclerotic stenotic lesions, due to the rarity of carotid webs.

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Objective: To analyze the dynamics of clinical and epidemiological indicators of stroke and the features of providing specialized care to patients in the Moscow region in the period 2019-2023.

Material And Methods: Mortality rates, the average annual population, and the number of deaths in one-year age groups were analyzed based on the «Brief Nomenclature of Causes of Death» by ROSSTAT and the database of the Registry Office of the Moscow Region. Depersonalized data on deceased individuals aged 18 years and older were obtained from this database, including codes and names of diseases or conditions specified in Parts I and II of the medical death certificate, age, sex, and place of death for the period 2019-2023.

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Carotid artery stenting (CAS) has become a favoured alternative to surgical carotid endarterectomy (CEA) in select cases of critical internal carotid artery (ICA) occlusion. However, complications such as stent migration or entrapment can occur, necessitating prompt diagnosis and intervention. We present a case of a 75-year-old diabetic male who underwent CAS for recurrent presyncope at a private hospital, and during the procedure of CAS the stent was migrated and its proximal part was impacted in the critically narrowed part of the ICA.

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Aims: To test utility of diffusion MRI-derived indices in carotid endarterectomy (CEA), change of diffusion tensor imaging (DTI) metrics, cerebral white matter (WM) volumes were evaluated and predictors of overall mortality determined.

Methods: Prospectively enrolled participants had preoperative, immediate and late postoperative DTI after CEA. WM volumes, DTI metrics (fractional anisotropy, FA; axial, radial, mean diffusivities; AD, RD, MD, respectively) were calculated for the index/contralateral hemispheres at all time points.

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Advancing Vascular Surgery: The Role Of Artificial Intelligence And Machine Learning In Managing Carotid Stenosis.

Port J Card Thorac Vasc Surg

October 2024

RISE@Health, Rua Dr. Plácido da Costa, Porto, Portugal; Department of Biomedicine - Unit of Anatomy, Faculdade de Medicina da Universidade do Porto, Portugal.

Introduction: Cardiovascular diseases affect 17.7 million people annually, worldwide. Carotid degenerative disease, commonly described as atherosclerotic plaque accumulation, significantly contributes to this, posing a risk for cerebrovascular events and ischemic strokes.

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