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Abstract
We provide an automated analysis of the pigment epithelial detachments (PEDs) in neovascular age-related macular degeneration (nAMD) and estimate areas of serous, neovascular, and fibrous tissues within PEDs. A retrospective analysis of high-definition spectral-domain OCT B-scans from 43 eyes of 37 patients with nAMD with presence of fibrovascular PED was done. PEDs were manually segmented and then filtered using 2D kernels to classify pixels within the PED as serous, neovascular, or fibrous. A set of PED composition indices were calculated on a per-image basis using relative PED area of serous (PEDCI-S), neovascular (PEDCI-N), and fibrous (PEDCI-F) tissue. Accuracy of segmentation and classification within the PED were graded in masked fashion. Mean overall intra-observer repeatability and inter-observer reproducibility were 0.86 ± 0.07 and 0.86 ± 0.03 respectively using intraclass correlations. The mean graded scores were 96.99 ± 8.18, 92.12 ± 7.97, 91.48 ± 8.93, and 92.29 ± 8.97 for segmentation, serous, neovascular, and fibrous respectively. Mean (range) PEDCI-S, PEDCI-N, and PEDCI-F were 0.253 (0–0.952), 0.554 (0–1), and 0.193 (0–0.693). A kernel-based image processing approach demonstrates potential for approximating PED composition. Evaluating follow up changes during nAMD treatment with respect to PEDCI would be useful for further clinical applications.
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1 University of Pittsburgh, Department of Ophthalmology, Pittsburgh, USA (GRID:grid.21925.3d) (ISNI:0000 0004 1936 9000)
2 Nilima Sinha Medical College and Hospital, Rampur, India (GRID:grid.21925.3d)
3 Bahamas Vision Center and Princess Margaret Hospital, Nassau, Bahamas (GRID:grid.21925.3d)
4 BJ Medical College, Ahmedabad, India (GRID:grid.414133.0) (ISNI:0000 0004 1767 9806)
5 Fox Chapel High School, Pittsburgh, USA (GRID:grid.414133.0)
6 University of Waterloo, School of Optometry and Vision Sciences, Waterloo, Canada (GRID:grid.46078.3d) (ISNI:0000 0000 8644 1405)
7 Indian Institute of Technology Hyderabad, Department of Electrical Engineering, Hyderabad, India (GRID:grid.459612.d) (ISNI:0000 0004 1767 065X)