![[feed]](/style/images/feed-icon-14x14.png){kind=icon}
|
PDF (Original article)
- Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
693kB |
| Item Type: | Article |
|---|---|
| Title: | Multicenter reliability of semiautomatic retinal layer segmentation using OCT |
| Creators Name: | Oberwahrenbrock, T. and Traber, G.L. and Lukas, S. and Gabilondo, I. and Nolan, R. and Songster, C. and Balk, L. and Petzold, A. and Paul, F. and Villoslada, P. and Brandt, A.U. and Green, A.J. and Schippling, S. |
| 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. |
| Source: | Neurology Neuroimmunology & Neuroinflammation |
| ISSN: | 2332-7812 |
| Publisher: | American Academy of Neurology |
| Volume: | 5 |
| Number: | 3 |
| Page Range: | e449 |
| Date: | 1 May 2018 |
| Official Publication: | https://doi.org/10.1212/NXI.0000000000000449 |
| PubMed: | View item in PubMed |
Repository Staff Only: item control page
Download Statistics
Download Statistics
