Carotid Artery Echolucency, Texture Features, and Incident Cardiovascular Disease Events: The MESA Study.

ABSTRACT: Background We hypothesized that measures of common carotid artery echolucency and grayscale texture features were associated with cardiovascular disease ( CVD ) risk factors and could predict CVD events. Methods and Results Using a case-cohort design, we measured common carotid artery ultrasound images from 1788 participants in Exam 1 of the MESA study (Multi-Ethnic Study of Atherosclerosis) to derive 4 grayscale features: grayscale median, entropy, gray level difference statistic-contrast, and spatial gray level dependence matrices-angular second moment. CVD risk factor associations were determined by linear regression. Cox proportional hazard models with inverse selection probability weighting and adjustments for age, sex, race/ethnicity, CVD risk factors, and C-reactive protein were use

SUBMITTER: Mitchell CC 

PROVIDER: S-EPMC6405595 | biostudies-literature | 2019 Feb

REPOSITORIES: biostudies-literature