Multimodal Assessments of Drusenoid Pigment Epithelial Detachments in the Age-Related Eye Disease Study 2 Ancillary Spectral-Domain Optical Coherence Tomography Study Cohort

Thavikulwat, Alisa T.; Silva, Tharindu De; Agrón, Elvira; Keenan, Tiarnán D L; Toth, Cynthia A.; Chew, Emily Y.; Cukras, Catherine A

doi:10.1097/iae.0000000000003423

Cited by 3 publications

(1 citation statement)

References 23 publications

(56 reference statements)

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“…Drusen have the highest known risk for progression from intermediate to advanced AMD with GA, especially soft and more central drusen [11 ▪▪ ,19]. As defined in the AREDS2 study, drusenoid pigment epithelial detachments (DPEDs) in AMD are formed by the confluence of soft drusen which form yellow lesions measuring ≥433 μm in diameter, and correlate on OCT to areas of RPE detachment, often with sub-RPE hyperreflective material [20,21 ▪ ]. DPEDs alter retinal anatomy, and when they collapse, are often found in conjunction with retinal changes heralding the development of GA [21 ▪ ].…”

Section: Early Detection Of Geographic Atrophymentioning

confidence: 99%

Identifying geographic atrophy

Clevenger

Rachitskaya

2023

Current Opinion in Ophthalmology

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Purpose of reviewAge-related macular degeneration (AMD) is one of the leading causes of blindness and can progress to geographic atrophy (GA) in late stages of disease. This review article highlights recent literature which assists in the accurate and timely identification of GA, and monitoring of GA progression. Recent findingsTechnology for diagnosing and monitoring GA has made significant advances in recent years, particularly regarding the use of optical coherence tomography (OCT). Identification of imaging features which may herald the development of GA or its progression is critical. Deep learning applications for OCT in AMD have shown promising growth over the past several years, but more prospective studies are needed to demonstrate generalizability and clinical utility.

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Section: Early Detection Of Geographic Atrophymentioning

confidence: 99%

Identifying geographic atrophy

Clevenger

Rachitskaya

2023

Current Opinion in Ophthalmology

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Morphometric Risk Factors for Drusenoid Pigment Epithelium Detachment Collapse and Retinal Pigment Epithelium Atrophy Expansion

Menean,

Apuzzo,

Introini

et al. 2023

Invest. Ophthalmol. Vis. Sci.

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Automated Detection of Drusenoid Pigment Epithelial Detachments From Spectral-Domain Optical Coherence Tomography in Patients With AMD

Mukherjee,

Duic,

De Silva

et al. 2024

Trans. Vis. Sci. Tech.

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This study aimed to develop an algorithm for automated detection of drusenoid pigment epithelial detachments (DPEDs) in optical coherence tomography (OCT) volumes of patients with age-related macular degeneration (AMD) and to compare its performance against traditional reading center grading on color-fundus photographs (CFPs).Methods: Eyes with a range of AMD severities, excluding neovascular disease, were imaged using spectral-domain OCT (SD-OCT) and paired CFPs and were followed annually for up to 5 years. DPEDs were automatically identified by segmenting the retinal pigment epithelium (RPE) and Bruch's membrane (BM) layers from the SD-OCT volumes and imposing both a minimum RPE BM height (>75 μm) and a two-dimensional length requirement (>433 μm). Comparisons in detection rates and contoured areas were made between the algorithmic SD-OCT detections and manually graded and contoured CFPs.Results: Of the 1602 visits for the 323 eyes, the automated OCT algorithm identified 139 visits (8.7%) from 50 eyes with DPED, but a reading center review of paired CFPs identified 23 visits (1.4%) from nine eyes as having DPEDs. Eyes identified with DPEDs on OCT received nine-step AMD severity scores ranging from 6 to 10, and those scores had occurrence ratios of 23/160 (14%), 89/226 (39%), 24/99 (24%), 2/63 (3%), and 1/29 (3%), respectively. On a subset of 25 visits that also underwent manual contouring of DPED lesions in CFP, the Pearson correlation coefficient for DPED areas observed by OCT and CFP was 0.85. Conclusions:Our analysis shows the feasibility of using OCT scans to objectively detect features that historically have been detected qualitatively by expert graders on CFPs.Translational Relevance: Automated detection and quantitation of high-risk features can facilitate screening patients for clinical-trial enrollment and could serve as an outcome metric [T1 (Translation-to-Humans) and T4 (Translation-to-Population-Health)].

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Multimodal Assessments of Drusenoid Pigment Epithelial Detachments in the Age-Related Eye Disease Study 2 Ancillary Spectral-Domain Optical Coherence Tomography Study Cohort

Cited by 3 publications

References 23 publications

Identifying geographic atrophy

Identifying geographic atrophy

Morphometric Risk Factors for Drusenoid Pigment Epithelium Detachment Collapse and Retinal Pigment Epithelium Atrophy Expansion

Automated Detection of Drusenoid Pigment Epithelial Detachments From Spectral-Domain Optical Coherence Tomography in Patients With AMD

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