Document Type
Abstract
Publication Date
2-11-2026
Academic Year
2025-2026
Abstract
INTRODUCTION: Optical Coherence Tomography (OCT) is essential to detect and monitor structural damage in glaucoma. However, current practices focus on global and sectoral values, not localized changes. The study explores a novel approach using spatially determined superpixel clusters from swept- source OCT (SS-OCT) to assess localized changes in both healthy and glaucomatous eyes. We hypothesize that this method will provide reproducible results comparable with standard OCT parameters.
METHODS: Healthy and glaucoma subjects with ≥ 2 qualified same-visit optic nerve head (ONH) and macular Triton SS-OCT scans were included. Automated segmentation generated superpixel thickness values from 3D disc and macula arrays. Based on Garway-Heath mapping, six clusters were created for the ONH retinal nerve fiber layer (RNFL) and five clusters for the macular ganglion-cell inner plexiform layer (GCL). Reproducibility was determined using within-subject coefficient of variation (WSCV) of the highest quality same-visit pair of RNFL and macular scans and compared to standard parameters.
RESULTS: 58 eyes (30 glaucomatous, 28 healthy) were included for ONH, and 88 eyes (47 glaucoma, 41 healthy) for the macula. RNFL clusters, average and sectoral circumpapillary, and ONH standard structural parameters showed good reproducibility (WSCV ≤ 5.87%). The reproducibility analysis for the macular clusters and standard macular parameters also showed excellent reproducibility (WSCV ≤ 1.82%).
CONCLUSION: The ONH and macular cluster analysis employing SS-OCT superpixel measurements demonstrated excellent reproducibility. The cluster values are comparable to the standard parameters in both healthy and glaucomatous eyes. These findings support the utility of clusters for future glaucoma detection and monitoring.
Recommended Citation
Shah, Sahil; Lavinsky, Fabio; Kim, Bo Young; King, Darron; Zambrano, Ronald; Fujihara, Fernanda Mari; Amarasekera, Dilru; Hock, Lauren E.; Huang, Ping; Kolomeyer, Natasha; Razeghinejad, Reza; Myers, Jonathan; Wollstein, Gadi; and Schuman, Joel, "Reproducibility of Spatially-Defined Structural Cluster Analysis Using Automated Superpixel Metrics on Swept-Source Optical Coherence Tomography" (2026). Phase 1. Paper 20.
https://jdc.jefferson.edu/si_ctr_2028_phase1/20
Language
English

Comments
Presented at the 2026 Scholarly Inquiry (SI) Research Project Symposium.