https://www.selleckchem.com/products/Rapamycin.html From those radiomics methods, texture analysis occupied a large part. In addition, the extracted features include histogram, shape-based features, texture-based features, wavelet features, gray level co-occurrence matrix (GLCM), and run-length matrix (RLM). CONCLUSION Although radiomics analysis are already applied to AD and MCI diagnosis and classification, there still is a long way to go from these computer-aided diagnostic methods to the clinical application. Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.BACKGROUND Intracranial atherosclerotic stenosis (ICAS) is an important risk factor for cognitive impairment. However, it is unclear whether patients with ICAS are more likely to develop cognitive impairment after an acute, non-disabling ischemic stroke (minor stroke). OBJECTIVE We aimed to investigate the association between ICAS and post-stroke cognitive impairment. METHODS In this cross-sectional study, patients with acute, non-disabling ischemic stroke underwent two cognitive tests and imaging evaluation for ICAS, within two weeks after the stroke. To determine the association between ICAS and post-stroke cognitive impairment, we performed a multivariate logistic regression analysis adjusted for several demographic and vascular risk factors. RESULTS Of the 164 patients with minor stroke in this study, 98 (59.76%) were diagnosed with post-stroke cognitive impairment (Montreal Cognitive Assessment score less then 26). After adjusting for potential confounders, we found that patients with ICAS were more likely to develop cognitive impairment after an acute, non-disabling ischemic stroke, compared to patients without ICAS (Odds Ratio 2.13; 95% Confidence Interval 1.07-4.26), and underperformed in the tests of visuospatial and executive function. CONCLUSION In this cross-sectional study of a population that has experienced a minor stroke, our findings demonstrated