Abstract
Background: We evaluated the performance of an automated algorithm available on a clinical OCT (Canon-HS100) for macular volumetric measurements of eight individual retinal layers. Methods and Analysis: Two consecutive three-dimensional scans were acquired on 29 subjects with healthy retinas. Thickness measurements were obtained from eight individual retinal layers in nine macular sectors based on Early Treatment Diabetic Retinopathy Study (ETDRS) protocol. The repeatability was evaluated using the within-subject standard deviation from which the repeatability limits (Rlimit) and coefficient of variation (CoV) were calculated. Results: The repeatability metrics varied among different layers and sectors. The variation among the sectors was larger in two of the outer layers (plexiform and nuclear layer) and the retinal nerve fiber layer. For the other five layers, the repeatability limit was less than 5µm and CoV was less than 7.5% in all nine ETDRS sectors. Conclusions: The repeatability of the OCT-HS100 to measure eight individual retinal layers is good in general. Nevertheless, the repeatability is not homogeneous among different layers and sectors. This needs to be taken into account while designing clinical measurement protocols.
Highlights
The segmentation algorithms available for the clinical Optical Coherence Tomography (OCT) instruments provide data, mainly the total retinal thickness and individual layer thickness of ganglion cell layer (GCL) and retinal nerve fiber layer (RNFL)
This study evaluates the repeatability of the OCT-HS100 (Canon, Tokyo, Japan) for the macular volumetric thickness measurements of eight different retinal layers
Comparing inner and outer circles, the Retinal Nerve Fiber Layer (RNFL) was thicker in the outer circle than in the inner circle, except for the temporal sector where no such tendency was seen
Summary
Optical Coherence Tomography (OCT) is the only clinical equipment that allows the in-vivo visualization of individual layers of the retina [1]. This plays an important role in the diagnosis and monitoring of various ocular and neurological diseases [2,3,4,5]. Different types of OCT are available commercially and each type comes with its own automated segmentation algorithm [6]. We evaluated the performance of an automated algorithm available on a clinical OCT (Canon-HS100) for macular volumetric measurements of eight individual retinal layers
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