Interrater reliability of plaque morphology classification in patients with severe carotid artery stenosis

Citation
A. Hartmann et al., Interrater reliability of plaque morphology classification in patients with severe carotid artery stenosis, ACT NEUR SC, 99(1), 1999, pp. 61-64
Citations number
19
Categorie Soggetti
Neurology,"Neurosciences & Behavoir
Journal title
ACTA NEUROLOGICA SCANDINAVICA
ISSN journal
00016314 → ACNP
Volume
99
Issue
1
Year of publication
1999
Pages
61 - 64
Database
ISI
SICI code
0001-6314(199901)99:1<61:IROPMC>2.0.ZU;2-4
Abstract
Objective - Ultrasonographic assessment of carotid artery plaque morphology is widely used to identify patients at high risk: for stroke. However, the reliability of plaque analysis in high-grade stenosis is uncertain. We det ermined the interrater reliability of sonographic plaque morphology analysi s in patients with severe carotid artery stenosis. Material nnd methods - D uplex Doppler was performed on 114 patients with 80-99% stenosis of the int ernal carotid artery using a Siemens Quantum 2000 D with a handheld 7.5 MHz transducer. B-mode pictures with and without color coding were printed on a Sony color video printer UP-5000 W. Three raters independently evaluated plaque echolucency, heterogeneity, calcification, and surface structure. In terrater agreement was calculated by a jackknife procedure generating kappa values and two-sided 95% confidence intervals. Results - Kappa values and 95% confidence intervals were 0.05 (-0.07 to 0.16) for plaque surface struc ture, 0.15 (0.02 to 0.28) for plaque heterogeneity, 0.18 (0.09 to 0.29) for plaque echogenicity, and 0.29 (0.14 to 0.39) for plaque calcification. The upper bounds of all of the confidence intervals were below the 0.40 level suggested for minimal reliability. Conclusion - The low interrater agreemen t indicated that unaided visual assessment of static B-mode pictures to ass ess plaque morphology in patients with severe carotid artery stenosis is no t reliable. Other evaluation procedures and standardized criteria, as yet u ndeveloped, are needed to improve reliability.