Pigment epithelial detachment composition indices (PEDCI) in neovascular age-related macular degeneration

Manne, Shanmukh Reddy (2023) Pigment epithelial detachment composition indices (PEDCI) in neovascular age-related macular degeneration. Scientific Reports, 13 (1). p. 68. ISSN 2045-2322

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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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IITH Creators:
IITH CreatorsORCiD
Item Type: Article
Uncontrolled Keywords: pigment epithelial detachments; neovascular; nAMD treatment;segmentation, serous, neovascular, fibrous
Subjects: Electrical Engineering
Electrical Engineering > Process Control
Electrical Engineering > Automation & Control Systems
Divisions: Department of Electrical Engineering
Depositing User: Mr Nigam Prasad Bisoyi
Date Deposited: 18 Aug 2023 08:44
Last Modified: 18 Aug 2023 08:44
URI: http://raiith.iith.ac.in/id/eprint/11565
Publisher URL: https://doi.org/10.1038/s41598-022-27078-x
OA policy: https://www.sherpa.ac.uk/id/publication/24229
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