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Multicenter reliability of semiautomatic retinal layer segmentation using OCT

Oberwahrenbrock, T; Traber, GL; Lukas, S; Gabilondo, I; Nolan, R; Songster, C; Balk, L; ... Schippling, S; + view all (2018) Multicenter reliability of semiautomatic retinal layer segmentation using OCT. Neurology, Neuroimmunology & Neuroinflammation , 5 (3) , Article e449. 10.1212/NXI.0000000000000449. Green open access

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Abstract

Objective: To evaluate the inter-rater reliability of semiautomated segmentation of spectral domain optical coherence tomography (OCT) macular volume scans. Methods: Macular OCT volume scans of left eyes from 17 subjects (8 patients with MS and 9 healthy controls) were automatically segmented by Heidelberg Eye Explorer (v1.9.3.0) beta-software (Spectralis Viewing Module v6.0.0.7), followed by manual correction by 5 experienced operators from 5 different academic centers. The mean thicknesses within a 6-mm area around the fovea were computed for the retinal nerve fiber layer, ganglion cell layer (GCL), inner plexiform layer (IPL), inner nuclear layer, outer plexiform layer (OPL), and outer nuclear layer (ONL). Intraclass correlation coefficients (ICCs) were calculated for mean layer thickness values. Spatial distribution of ICC values for the segmented volume scans was investigated using heat maps. Results: Agreement between raters was good (ICC > 0.84) for all retinal layers, particularly inner retinal layers showed excellent agreement across raters (ICC > 0.96). Spatial distribution of ICC showed highest values in the perimacular area, whereas the ICCs were poorer for the foveola and the more peripheral macular area. The automated segmentation of the OPL and ONL required the most correction and showed the least agreement, whereas differences were less prominent for the remaining layers. Conclusions: Automated segmentation with manual correction of macular OCT scans is highly reliable when performed by experienced raters and can thus be applied in multicenter settings. Reliability can be improved by restricting analysis to the perimacular area and compound segmentation of GCL and IPL.

Type: Article
Title: Multicenter reliability of semiautomatic retinal layer segmentation using OCT
Location: United States
Open access status: An open access version is available from UCL Discovery
DOI: 10.1212/NXI.0000000000000449
Publisher version: https://doi.org/10.1212/NXI.0000000000000449
Language: English
Additional information: This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
URI: http://discovery.ucl.ac.uk/id/eprint/10049765
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