1. Computerized Texture Analysis of Carotid Plaque Ultrasonic Images Can Identify Unstable Plaques Associated With Ipsilateral Neurological Symptoms.
- Author
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Kakkos, Stavros K., Nicolaides, Andrew N., Kyriacou, Efthyvoulos, Daskalopoulou, Stella S., Sabetai, Michael M., Pattichis, Constantinos S., Geroulakos, George, Griffin, Maura B., and Thomas, Dafydd
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CAROTID artery , *CAROTID artery diseases , *CEREBROVASCULAR disease , *CHI-squared test , *COMPUTER software , *CONFIDENCE intervals , *DIAGNOSTIC imaging , *EPIDEMIOLOGY , *FACTOR analysis , *COMPUTERS in medicine , *MULTIVARIATE analysis , *STATISTICS , *U-statistics , *LOGISTIC regression analysis , *DATA analysis , *TRANSIENT ischemic attack , *CROSS-sectional method , *RECEIVER operating characteristic curves ,CAROTID artery stenosis - Abstract
We estimated the value of objective, computerized texture analysis of ultrasonic images in distinguishing carotid plaques associated with neurological ipsilateral symptoms (amaurosis fugax [AmF; n = 30], transient ischemic attack [TIA; n = 52], and stroke [n = 55]) from asymptomatic plaques (n = 51). We performed 3 case-control studies (1/symptom with asymptomatic plaques as control). On logistic regression, AmF was independently associated with severity of stenosis, percentage of pixels with gray levels 0 to 10 (PPCS1; measure of echolucency), and spatial gray level dependence matrices (SGLDM) information measure of correlation (IMC-1; texture); TIAs with PPCS1 (echolucency), SGLDM correlation, and skewness (both texture); and stroke with PPCS1, SGLDM correlation, and percentage of pixels with gray levels 11 to 20 (PPCS2; echolucency). The area under the curve of the regression-derived predicted probability for AmF, TIA, and stroke was 0.92, 0.82, and 0.85, respectively (all P < .001). Texture analysis can identify carotid plaques associated with a neurological event, improving the diagnostic value of echolucency measures. Texture analyses could be applied to natural history studies. [ABSTRACT FROM PUBLISHER]
- Published
- 2011
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