June 2022
Volume 63, Issue 7
Open Access
ARVO Annual Meeting Abstract  |   June 2022
Automated detection of Drusenoid Pigment Epithelial Detachments (DPEDs) on OCT’s in patients with Age related Macular Degeneration (AMD)
Author Affiliations & Notes
  • Souvick Mukherjee
    National Eye Institute, National Institutes of Health, Bethesda, Maryland, United States
  • Tharindu de silva
    National Eye Institute, National Institutes of Health, Bethesda, Maryland, United States
  • Cameron Duic
    National Eye Institute, National Institutes of Health, Bethesda, Maryland, United States
  • Alisa T Thavikulwat
    National Eye Institute, National Institutes of Health, Bethesda, Maryland, United States
  • Kristina Hess
    National Eye Institute, National Institutes of Health, Bethesda, Maryland, United States
  • Henry Wiley
    National Eye Institute, National Institutes of Health, Bethesda, Maryland, United States
  • Tiarnan D L Keenan
    National Eye Institute, National Institutes of Health, Bethesda, Maryland, United States
  • Emily Y Chew
    National Eye Institute, National Institutes of Health, Bethesda, Maryland, United States
  • Catherine Cukras
    National Eye Institute, National Institutes of Health, Bethesda, Maryland, United States
  • Footnotes
    Commercial Relationships   Souvick Mukherjee None; Tharindu de silva None; Cameron Duic None; Alisa T Thavikulwat None; Kristina Hess None; Henry Wiley None; Tiarnan Keenan None; Emily Chew None; Catherine Cukras None
  • Footnotes
    Support  This research was supported by the Intramural Research Program of the NIH, National Eye Institute (EY000509)
Investigative Ophthalmology & Visual Science June 2022, Vol.63, 1035 – F0282. doi:
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      Souvick Mukherjee, Tharindu de silva, Cameron Duic, Alisa T Thavikulwat, Kristina Hess, Henry Wiley, Tiarnan D L Keenan, Emily Y Chew, Catherine Cukras; Automated detection of Drusenoid Pigment Epithelial Detachments (DPEDs) on OCT’s in patients with Age related Macular Degeneration (AMD). Invest. Ophthalmol. Vis. Sci. 2022;63(7):1035 – F0282.

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      © ARVO (1962-2015); The Authors (2016-present)

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Abstract

Purpose : DPEDs in AMD appear as large yellowish mounds on stereoscopic examination. DPEDs are an important risk factor for progression to late AMD and vision loss. Spectral Domain OCT (SD-OCT) is an important imaging modality in the evaluation of retinal diseases. Automated detection of DPEDs on SD-OCT may help understand the pathophysiology of AMD progression and be useful for clinical trial screening.

Methods : 131 patients (294 eyes) enrolled in a longitudinal study of dark adaptation (NCT01352975) with a range of AMD severities from no AMD to eyes with advanced atrophic disease were imaged using both color fundus imaging (Topcon) and SD-OCT imaging (Heidelberg, Germany). Color fundus images were graded by the Wisconsin Reading Center and assigned AMD severity scores (AMDSC) of 0-10.
SD-OCT imaging consisted of a volumetric macular scan (30°x25°, 496×768×121 voxels). A 3D-UNet trained to segment the Retinal Pigment Epithelium (RPE) and Bruch’s membrane (BM) layers was used to contour all 294 macular volumes. The 6x6mm2 region representing the grid centered around the fovea was considered for calculating the mean ± std of the maximum width (W) and maximum elevation (H) between the RPE and BM layers in eyes with DPEDs. The layer contours were screened to identify measures satisfying the requirements of distinct elevations (>50μm) in the RPE Drusen Complex region with minimum diameter (>433μm), defining a DPED.

Results : Out of 76 eyes with no AMD (AMDSC 0-1), 111 with early AMD (AMDSC 2-5), 96 with intermediate AMD (AMDSC 6-8), and 11 with Geographic Atrophy (GA) (AMDSC 9-10)- 12/329 (eyes/B-scans) in the intermediate AMD group (W=1168.48±598.19μm, H=143.85±56.62μm) and 4/81 (eyes/BScans) in the GA group (W=715.92±279.52μm, H=113.53±40.28μm) met the DPED criteria. These occurred in 1/27 (eyes/BScans) AMDSC-6, 10/269 AMDSC-7, 1/33 AMDSC-8, and 4/81 AMDSC-10, with no DPEDs identified in eyes with AMDSC 0-5.

Conclusions : Segmentation of RPE and BM layers by a 3D-UNet can subsequently be used for automated and objective detection of DPEDs on B-scans within the macular volume. Eyes with DPEDs are of special interest with some studies targeting this phenotype. By automating this process using OCTs, more quantitative and reproducible DPED detections are possible leading to more efficient clinical trial designs.

This abstract was presented at the 2022 ARVO Annual Meeting, held in Denver, CO, May 1-4, 2022, and virtually.

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