Carotid Plaque Characterization by Duplex Scanning

Author:

Arnold J. A. C.1,Modaresi K. B.1,Thomas N.1,Taylor P. R.1,Padayachee T. S.1

Affiliation:

1. From the Ultrasonic Angiology Laboratory, Department of Radiological Sciences, and Department of Surgery (P.R.T.), Guy’s Campus, King’s College, London, UK.

Abstract

Background and Purpose —Clinical studies currently in progress are using subjective methods to characterize plaque morphology from ultrasound images. However, there are few studies on the intraobserver and interobserver variability of these classifications. This study was designed to assess these variables. Methods —Grading of plaque morphology from ultrasound images, stored both digitally and to hard copy, was performed by 2 classification schemes. Interobserver agreement was determined by 4 observers. Within-observer agreement was performed at intervals for up to 6 months. Accuracy of the 2 methods was determined by comparison with histology. Results —Within- and between-observer agreement was moderate to good for full-color digital image analyses, with pooled κ values of κ p =0.49±0.10 and κ p =0.62±0.07 for the 2-category method and κ p =0.53±0.06 and κ p =0.52±0.05 for the 4-category method, respectively. Hard copy data analyses gave lower κ values. The more experienced observers produced higher within-observer agreements and higher correlation with histology. Conclusions —Reproducible grading of ultrasound images is not consistently achievable among experienced observers, and within-observer agreement may vary with time. The current subjective ultrasound characterization of carotid plaque morphology used in clinical trials may be associated with unacceptable levels of reproducibility in some centers. Variability between observers may be reduced by using the simpler 2-category grading of plaque morphology to interrogate full-color digitally stored images. Observer agreement should be audited regularly.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Advanced and Specialized Nursing,Cardiology and Cardiovascular Medicine,Neurology (clinical)

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