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INTERNATIONAL ANGIOLOGY

Rivista di Angiologia


Official Journal of the International Union of Angiology, the International Union of Phlebology and the Central European Vascular Forum
Indexed/Abstracted in: BIOSIS Previews, Current Contents/Clinical Medicine, EMBASE, PubMed/MEDLINE, Science Citation Index Expanded (SciSearch), Scopus
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International Angiology 2007 December;26(4):372-7

lingua: Inglese

Normalisation of ultrasonic images of atherosclerotic plaques and reproducibility of grey scale median using dedicated software

Griffin M. 1, Nicolaides A. 2,3, Kyriacou E. 4

1 Vascular Screening and Diagnostic Centre, London, UK
2 Department of Biomedical Sciences, University of Cyprus, Nicosia, Cyprus
3 Department of Vascular Surgery, Imperial College, London, UK
4 Department of Computer Science, University of Cyprus, Nicosia, Cyprus


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Aim. Image normalization using “Adobe Photoshop” a commercially available software package designed for photography has provided the means of making reproducible measurements of grey scale in ultrasonic images of carotid bifurcation plaques. A dedicated software package “Plaque Texture Analysis” has been developed by the authors that is simple to use, provides facilities for measurement of other texture features in addition to grey scale median (GSM) and allows the operator to save the normalised images, plaques and GSM measurements in a database for subsequent analysis. The aim of the study was to determine (a) the intraobserver variability of GSM when the same plaque images were analysed using both Adobe Photoshop and the dedicated software and (b) the interobserver variability when the same plaque images were analysed using the dedicated software by different observers.
Methods. A sample of 33 images of carotid bifurcation plaques (16 symptomatic and 17 asymptomatic) producing greater than 50% stenosis of the internal carotid artery were analysed by two observers.
Results. The intraclass correlation coefficient and correlation coefficient (r) for GSM were 0.992 (95% CI 0.984 to 0.996) and 0.992 respectively for the first observer (MG); they were 0.986 (95% CI 0.972 to 0.993) and 0.987 respectively for the second observer (AN). The interobserver intraclass correlation coefficient and correlation coefficient (r) were 0.932 (95% CI 0.863 to 0.967) and 0.933 respectively.
Conclusion. These findings and the automatic saving of the normalised images and measurements in a database for subsequent statistical analysis make the “Plaque Texture Analysis” software a powerful research tool.

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