Articles: stroke.
-
Radiomics is a machine-learning method that extracts features from medical images. The objective of the present systematic review was to assess the quality of existing studies that use radiomics methods to predict functional outcomes in patients after acute ischemic stroke. ⋯ The quality of the included studies was low to moderate. With increasing use of radiomics, future studies should attempt to adhere to and report established radiomics quality guidelines.
-
Journal of neurosurgery · Mar 2024
Management and outcome predictors of patients with ruptured deep-seated brain arteriovenous malformations.
Decision-making for the management of ruptured deep-seated brain arteriovenous malformations (bAVMs) is controversial. This study aimed to shed light on the treatment outcomes of patients with ruptured deep-seated bAVMs. ⋯ A definitive treatment strategy seems to be beneficial in achieving higher obliteration and lower hemorrhage rates while decreasing the odds of a poor mRS score, worsened mRS score, and mortality. In this category of patients, prenidal aneurysms warrant treatment, and smoking cessation should be encouraged.
-
Review Meta Analysis
Region-specific interobserver agreement of the Alberta Stroke Program Early Computed Tomography Score: A meta-analysis.
The Alberta Stroke Program Early CT Score (ASPECTS) is a widely used scoring system for evaluating ischemic stroke to determine therapeutic strategy. However, there is variation in the interobserver agreement of ASPECTS. This systematic review and meta-analysis aimed to investigate the interobserver agreement of total and regional ASPECTS. ⋯ This meta-analysis demonstrates substantial to excellent interobserver agreement for total ASPECTS, which supports using this method for stroke treatment. However, findings emphasize the need to consider interobserver agreement in specific regions of ASPECTS for treatment decisions.
-
Stroke and TIAs are amongst the common neurological presentations encountered by specialists and non-specialist health care providers. Despite the advances of neuroimaging techniques, clinicians are frequently faced with diagnostic challenges on evaluation of patients with suspected stroke. In this review, we discuss the characteristic features of cerebrovascular diseases and how to identify them. We also aim to provide a resource for non-stroke specialist clinicians to help them to correctly identify the symptoms and signs of disorders that may masquerade as stroke such as migraine, seizure, and functional disorder, and at the same time we explore how we can identify strokes that present atypically.
-
Ischemic stroke is associated with increased risk of morbidity and mortality in future vascular events. ⋯ CHA2DS2-VASc score may predict future MACCE in middle-aged patients with ischemic stroke and no history of AF.