Computerized texture analysis of carotid plaque ultrasonic images can identify unstable plaques associated with ipsilateral neurological symptoms
Date
2011Author
Kakkos, Stavros K.Nicolaïdes, Andrew N.

Daskalopoulou, Stella Styliani
Sabetai, Michael

Geroulakos, George
Griffin, Maura B.
Thomas, Dominique
Source
AngiologyVolume
62Issue
4Pages
317-328Google Scholar check
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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. © The Author(s) 2011.
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