Manual segmentation of 12 layers of the retina and choroid through SD-OCT in intermediate AMD: Repeatability and reproducibility

Pedro Camacho, Marco Dutra-Medeiros, Luís Salgueiro, Sílvia Sadio, Paulo C. Rosa

Research output: Contribution to journalArticlepeer-review

Abstract

Purpose: To evaluate the repeatability and reproducibility of the segmentation of 12 layers of the retina and the choroid, performed manually by SD-OCT, along the horizontal meridian at three different temporal moments, and to evaluate its concordance with the same measurements performed by two other operators in intermediate AMD. Methods: A cross-sectional study of 40 eyes from 40 subjects with intermediate AMD was conducted. The segmentation was performed manually, using SD-OCT. The 169 measurements per eye were repeated at three time points to study the intra-operator variability. The same process was repeated a single time by two different trained operators for the inter-operator variability. Results: Forty participants (28 women and 12 men) were enrolled in this study, with an average age of 76.4 ± 8.2 (range, 55-92 years). Overall, the maximum values of the various structures were found in the 3 mm of the macula. Intra-operator variability: the highest ICC values turned out to be discovered in thicker locations. Inter-operator variability: except correlation values of 0.826 (0.727; 0.898) obtained in the OPL (T2.5) and 0.634 (0.469; 0.771) obtained in the IPL (N2), all other correlation values were >0.92, in most cases approaching higher values like 0.98. Conclusion: The measurements of several layers of the retina and the choroid achieved at 13 locations presented a good repeatability and reproducibility. Manual quantification is still an alternative for the weaknesses of automatic segmentation. Locations of greatest concordance should be those used for the clinical control and monitoring.

Original languageEnglish
Pages (from-to)384-392
Number of pages9
JournalJournal of Ophthalmic and Vision Research
Volume16
Issue number3
DOIs
Publication statusPublished - 2021

Keywords

  • Data accuracy
  • Diagnostic imaging
  • Macular degeneration

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