Reproducibility of high-resolution optical coherence tomography in multiple sclerosis.

Autor: Syc, Stephanie B., Warner, Christina V., Hiremath, Girish S., Farrell, Sheena K., Ratchford, John N., Conger, Amy, Frohman, Teresa, Cutter, Gary, Balcer, Laura J., Frohman, Elliot M., Calabresi, Peter A.
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Zdroj: Multiple Sclerosis (13524585); Jul2010, Vol. 16 Issue 7, p829-839, 11p, 4 Diagrams, 3 Charts, 1 Graph
Abstrakt: Optical coherence tomography (OCT) is a non-invasive method to quantify neurodegeneration as an outcome in multiple sclerosis clinical trials; however, no data exist on Cirrus spectral domain optical coherence tomography (SD-OCT) reproducibility in patients with multiple sclerosis. The objective of this study was to determine the protocol for achieving optimal inter-visit, inter-rater, and intra-rater reproducibility for studies performed on healthy controls and multiple sclerosis patients utilizing novel high-definition SD-OCT. This is a prospective study of inter-visit, inter-rater, and intrarater reproducibility in multiple sclerosis patients (n=58) and healthy controls (n=32) on Cirrus-HD SD-OCT. Excellent reproducibility of average and quadrantic retinal nerve fiber layer (RNFL) thickness values, average macular thickness (AMT), and total macular volume (TMV) [measured by intraclass correlation coefficient (ICC)] was found for inter-visit (healthy controls: mean RNFL=0.97, quadrant range=0.92-0.97, AMT=0.97, TMV=0.92), inter-rater (MS: mean RNFL=0.97, quadrant=0.94-0.98, AMT=0.99, TMV=0.96; healthy controls: mean RNFL=0.97, quadrant =0.94-0.97, AMT=0.98, TMV=0.99), and intra-rater (MS patients: mean RNFL=0.99, quadrant=0.83-0.99, AMT=0.97, TMV=0.98) reproducibility. The reproducibility of retinal measures derived by Cirrus HD-OCT, especially quadrantic values, is excellent. Specific procedures for OCT acquisition and analysis of retinal imaging metrics using SD-OCT technology may improve the application of this novel technology in multiple sclerosis. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index