Abstract

Aims To determine the accuracy and repeatability of new software to automatically quantify GA areas associated to age-related macular degeneration (AMD) by swept-source optical coherence tomography (SS-OCT). Settings and Design. Tertiary referral hospital in Spain. Cross-sectional and noninterventional. Methods and Material. Forty-six eyes from 33 AMD patients with GA, without previous choroidal neovascularization, were scanned using a SS-OCT (Topcon Corporation, Japan), including three consecutive 7 × 7 mm OCT scans. Three independent masked observers manually measured the GA area using FAF images. These measures were compared to the three automatic determinations of the GA. Lesions were classified according to their morphology and number as regular/irregular and single/multiple. Statistical Analysis Used. Intraclass correlation coefficients (ICCs) were estimated to study the agreement between the three physicians in manual measurements. ICC through a two-way mixed effects model was used for the software measures, and Lin's concordance correlation coefficient (CCC) was used to analyse the agreement between the physicians and the software. Results The mean age was 76.3 ± 11.7 years. Eighteen cases showed regular lesions, and 30 showed single lesions. The CCC between manual and automatic measures was 0.95 for the whole sample. The CCC for the area according to the lesion type was 0.92 and 0.97; it was 0.99 for single lesions and 0.89 for multiple lesions. The ICC between the three physicians was 0.94 for the whole sample and 0.88 in multiple lesions. The ICC between the three automatic measures for the area was 0.98 for the whole sample, regular or irregular lesions, and single or multiple lesions. Conclusions The accuracy of this new software is substantial for the area with a high degree of repeatability agreement, being very precise in single lesions.

Highlights

  • Introduction e International AgeRelated Maculopathy Epidemiological Study Group defined geographic atrophy (GA) in 1995 using colour fundus photography (CFP) as “any sharply delineated roughly round or oval area of hypopigmentation or depigmentation with increased visibility of the underlying choroidal vessels and of at least 175 μm in diameter on 30° or 35° CFP images” [1]

  • To determine the accuracy and repeatability of new software to automatically quantify GA areas associated to age-related macular degeneration (AMD) by swept-source optical coherence tomography (SS-Optical coherence tomography (OCT))

  • GA is a clinical manifestation of advanced AMD. e need and the importance of developing software that automatically quantifies GA lesions’ areas has been thoroughly discussed [17,18,19,20,21]

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Summary

Research Article

Automatic Quantification Software for Geographic Atrophy Associated with Age-Related Macular Degeneration: A Validation Study. To determine the accuracy and repeatability of new software to automatically quantify GA areas associated to age-related macular degeneration (AMD) by swept-source optical coherence tomography (SS-OCT). E ICC between the three automatic measures for the area was 0.98 for the whole sample, regular or irregular lesions, and single or multiple lesions. E aim of this paper is to determine the accuracy and repeatability of the new software in automatically quantifying the GA area associated with AMD using swept-source optical coherence tomography (SS-OCT). Is method, patented GA detection methodology (US2016/0206190), is an objective measure of physical tissue characteristics and is less sensitive to imaging conditions, such as variations in opacities and various types of signal shadowing, compared to the pure intensity integration method Using this method, a 7 × 7 mm cube scan centred at the macula was captured by using a DRI OCT Triton.

Attenuation map enhancement
Discussion
Number of lesions
Findings
Statistical test
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