Detection of Longitudinal Ganglion Cell/Inner Plexiform Layer Change: Comparison of Two Spectral-Domain Optical Coherence Tomography Devices.
Mahmoudinezhad Golnoush, Mohammadzadeh Vahid, Amini Navid, Delao Kevin, Zhou Bingnan, Hong Tae, Zadeh Sepideh Heydar, Morales Esteban, Martinyan Jack, Law Simon K
AI Summary
This study found Spectralis OCT detected macular ganglion cell thinning in glaucoma more frequently and faster than Cirrus OCT, highlighting that these devices are not interchangeable for monitoring progression.
Abstract
Purpose
We compared rates of change of macular ganglion cell/inner plexiform (GCIPL) thickness and proportion of worsening and improving rates from 2 optical coherence tomography (OCT) devices in a cohort of eyes with glaucoma.
Design
Longitudinal cohort study.
Methods
In a tertiary glaucoma clinic we evaluated 68 glaucoma eyes with ≥2 years of follow-up and ≥4 OCT images. Macular volume scans from 2 OCT devices were exported, coregistered, and segmented. Global and sectoral GCIPL data from the central 4.8 × 4.0-mm region were extracted. GCIPL rates of change were estimated with linear regression. Permutation analyses were used to control specificity with the 2.5 percentile cutoff point used to define "true" worsening. Main outcome measures included differences in global/sectoral GCIPL rates of change between 2 OCT devices and the proportion of negative vs positive rates of change (P < .05).
Results
Average (standard deviation) 24-2 visual field mean deviation, median (interquartile range) follow-up time, and number of OCT images were -9.4 (6.1) dB, 3.8 (3.3-4.2) years, and 6 (5-8), respectively. GCIPL rates of thinning from Spectralis OCT were faster (more negative) compared with Cirrus OCT; differences were significant in superonasal (P = .03) and superotemporal (P = .04) sectors. A higher proportion of significant negative rates was observed with Spectralis OCT both globally and in inferotemporal/superotemporal sectors (P < .04). Permutation analyses confirmed the higher proportion of global and sectoral negative rates of change with Spectralis OCT (P < .001).
Conclusions
Changes in macular GCIPL were detected more frequently on Spectralis' longitudinal volume scans than those of Cirrus OCT. OCT devices are not interchangeable with regard to detection of macular structural progression.
MeSH Terms
Shields Classification
Key Concepts5
In a longitudinal cohort study of 68 glaucoma eyes with at least 2 years of follow-up and 4 or more OCT images, rates of thinning of macular ganglion cell/inner plexiform (GCIPL) from Spectralis OCT were faster (more negative) compared with Cirrus OCT, with significant differences observed in the superonasal (P = .03) and superotemporal (P = .04) sectors.
In a longitudinal cohort study of 68 glaucoma eyes, a higher proportion of significant negative rates of macular ganglion cell/inner plexiform (GCIPL) change was observed with Spectralis OCT both globally and in inferotemporal/superotemporal sectors (P < .04) compared to Cirrus OCT.
Permutation analyses in a longitudinal cohort study of 68 glaucoma eyes confirmed a higher proportion of global and sectoral negative rates of change in macular ganglion cell/inner plexiform (GCIPL) with Spectralis OCT compared to Cirrus OCT (P < .001).
Changes in macular ganglion cell/inner plexiform (GCIPL) were detected more frequently on Spectralis' longitudinal volume scans than those of Cirrus OCT in a longitudinal cohort study of 68 glaucoma eyes.
Optical coherence tomography (OCT) devices are not interchangeable with regard to the detection of macular structural progression in glaucoma patients, as demonstrated by differences in detected ganglion cell/inner plexiform layer (GCIPL) changes between Spectralis OCT and Cirrus OCT.
Related Articles5
Optic Disc Microvasculature Reduction and Visual Field Progression in Primary Open-Angle Glaucoma.
Case SeriesDifferentiating stages of functional vision loss from glaucoma using the Disc Damage Likelihood Scale and cup:disc ratio.
Randomized Controlled TrialClassifying glaucoma exclusively with OCT: comparison of three clustering algorithms derived from machine learning.
Observational StudyCorrelation Between Enlargement of Retinal Nerve Fiber Defect Angle in En Face Imaging and Visual Field Progression.
Cohort StudyCortical Atrophy Predicts Visual Performance in Long-Term Central Retinal Disease; GCL, pRNFL and Cortical Thickness Are Key Biomarkers.
Observational StudyIs this article assigned to the wrong chapter(s)? Let us know.