Abstract
Purpose
To determine the capabilities of the “Kago-Eye2” software to semi-automatically segment the choroid in the optical coherence tomographic (OCT) images.
Study design
A cross-sectional, prospective study of 44 healthy volunteers.
Methods
The Kago-eye2 software was developed to detect the border between Choriocapillaris and Sattler’s layer (C–S) and between Sattler’s layer and Haller’s layer (S–H). The intra- and inter-grader agreements were determined for the segmentations made with semi-automated and manual analysis using the Kago-Eye2 software. The inter-method agreements were determined for two independent graders.
Results
Forty-four right eyes of 44 heathy volunteers (22 men) with a mean age of 35.0 ± 8.8 years were studied. The intra-grader agreement of the C–S border was 0.97 for grader 1 and 0.892 for grader 2 for the manual segmentation, and 0.908 for grader 1 and 0.842 for grader 2 for the Kago-Eye2 segmentation. For the S–H border, the intra-grader agreement was 0.96 for grader 1 and 0.981 for grader 2 for manual segmentation and 0.855 for grader 1 and 0.839 for grader 2 with the Kago-Eye2. For the C–S and S–H border, the inter-grader agreement was 0.548 and 0.902 for manual segmentation and 0.947 and 0.833 for the Kago-Eye2. The inter-method agreement was 0.565 for the C–S border and 0.759 for the S–H border.
Conclusion
The Kago-Eye2 software can segment the layers of the subfoveal choroid with good reproducibility and repeatability. We conclude that the Kago-Eye2 software can be used for semi-automatic segmentation of the choroidal layers.
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Acknowledgements
The authors thank Professor Emeritus Duco Hamasaki of the Bascom Palmer Eye Institute of the University of Miami for providing critical discussions and suggestions to our study and revision of the final manuscript. This study was supported by JSPS KAKENHI Grant number 15H04996.
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The funding organizations had no role in the design or conduct of this research.
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Corresponding author: Taiji Sakamoto
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Sonoda, S., Terasaki, H., Kakiuchi, N. et al. Kago-Eye2 software for semi-automated segmentation of subfoveal choroid of optical coherence tomographic images. Jpn J Ophthalmol 63, 82–89 (2019). https://doi.org/10.1007/s10384-018-0631-4
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DOI: https://doi.org/10.1007/s10384-018-0631-4