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Color-coded fluid-attenuated inversion recovery images improve inter-rater reliability of fluid-attenuated inversion recovery signal changes within acute diffusion-weighted image lesions.

Authors :
Kim BJ
Kim YH
Kim YJ
Ahn SH
Lee DH
Kwon SU
Kim SJ
Kim JS
Kang DW
Source :
Stroke [Stroke] 2014 Sep; Vol. 45 (9), pp. 2801-4. Date of Electronic Publication: 2014 Jul 31.
Publication Year :
2014

Abstract

Background and Purpose: Diffusion-weighted image fluid-attenuated inversion recovery (FLAIR) mismatch has been considered to represent ischemic lesion age. However, the inter-rater agreement of diffusion-weighted image FLAIR mismatch is low. We hypothesized that color-coded images would increase its inter-rater agreement.<br />Methods: Patients with ischemic stroke <24 hours of a clear onset were retrospectively studied. FLAIR signal change was rated as negative, subtle, or obvious on conventional and color-coded FLAIR images based on visual inspection. Inter-rater agreement was evaluated using κ and percent agreement. The predictive value of diffusion-weighted image FLAIR mismatch for identification of patients <4.5 hours of symptom onset was evaluated.<br />Results: One hundred and thirteen patients were enrolled. The inter-rater agreement of FLAIR signal change improved from 69.9% (k=0.538) with conventional images to 85.8% (k=0.754) with color-coded images (P=0.004). Discrepantly rated patients on conventional, but not on color-coded images, had a higher prevalence of cardioembolic stroke (P=0.02) and cortical infarction (P=0.04). The positive predictive value for patients <4.5 hours of onset was 85.3% and 71.9% with conventional and 95.7% and 82.1% with color-coded images, by each rater.<br />Conclusions: Color-coded FLAIR images increased the inter-rater agreement of diffusion-weighted image FLAIR recovery mismatch and may ultimately help identify unknown-onset stroke patients appropriate for thrombolysis.<br /> (© 2014 American Heart Association, Inc.)

Details

Language :
English
ISSN :
1524-4628
Volume :
45
Issue :
9
Database :
MEDLINE
Journal :
Stroke
Publication Type :
Academic Journal
Accession number :
25082806
Full Text :
https://doi.org/10.1161/STROKEAHA.114.006515