Texture Analysis of Ultrasonic Images of Symptomatic Carotid Plaques can Identify Those Plaques Associated with Ipsilateral Embolic Brain Infarction
AuthorKakkos, Stavros K.
Stevens, J. M.
Nicolaïdes, Andrew N.
Kyriacou, Efthyvoulos C.
Pattichis, Constantinos S.
SourceEuropean Journal of Vascular and Endovascular Surgery
Google Scholar check
MetadataShow full item record
Objectives: The aim of our study was to determine the association between objective, computerised texture analysis of carotid plaque ultrasonic images and embolic CT-brain infarction in patients presenting with hemispheric neurological symptoms. Design: Cross-sectional study in patients with 50%-99% (ECST) carotid stenosis. Patients and Methods: Carotid plaque ultrasonic images (n = 54, 26 with TIAs and 28 with stroke) obtained during carotid ultrasound were normalised and standardised for resolution and subsequently assessed visually for the presence of discrete echogenic or juxtaluminal echolucent components and overall echogenicity (plaque type). Using computer software, 51 histogram/textural features of the plaque outlines were calculated. Factor analysis was subsequently applied to eliminate redundant variables. Small cortical, large cortical and discrete subcortical infarcts on CT-brain scan were considered as being embolic. Results: Twenty-five cases (46%) had embolic infarcts. On logistic regression, grey-scale median (GSM), a measure of echolucency, spatial grey level dependence matrices (SGLDM) correlation and SGLDM information measure of correlation-1, measures of homogeneity were significant (p < 0.05), but not grey level runlength statistics (RUNL) Run Percentage (RP), stenosis severity, type of symptoms or echolucent juxtaluminal components. Using ROC curves methodology, SGLDM information measure of correlation-1 improved the value of GSM in distinguishing embolic from non-embolic CT-brain infarction. Conclusion: Computerised texture analysis of ultrasonic images of symptomatic carotid plaques can identify those that are associated with brain infarction, improving the results achieved by GSM alone. This methodology could be applied to prospective natural history studies of symptomatic patients not operated on or randomised trials of patients undergoing carotid angioplasty and stenting in order to identify high-risk subgroups for cerebral infarction. © 2006.
Showing items related by title, author, creator and subject.
Quantitative texture analysis of brain white matter lesions derived from T2-weighted MR images in MS patients with clinically isolated syndrome Loizou, Christos P.; Petroudi, Styliani; Seimenis, Ioannis; Pantzaris, Marios C.; Pattichis, Constantinos S. (2015)Introduction: This study investigates the application of texture analysis methods on brain T2-white matter lesions detected with magnetic resonance imaging (MRI) for the prognosis of future disability in subjects diagnosed ...
Polyzoidis, K. S.; Miliaras, G.; Pavlidis, Nicholas (2005)The diagnosis of a brain metastasis is usually made during the routine follow up examinations of patients with known cancer, who are under the care of oncology departments. The involvement of the neurosurgeon depends on ...
Loizou, Christos P.; Pantzaris, Marios C.; Seimenis, Ioannis; Pattichis, Constantinos S. (2009)A problem that occurs in texture analysis and quantitative analysis of magnetic resonance imaging (MRI), is that the extracted results are not comparable between consecutive or repeated scans or, within the same scan, ...