Ganglion Cell–Inner Plexiform Layer Thickness in Retinal Diseases: Repeatability Study of Spectral-Domain Optical Coherence Tomography

Lee, Haeng Jin; Kim, Minsu; Jo, Young–Joon; Kim, Jung‐Yeul

doi:10.1016/j.ajo.2015.05.015

Cited by 44 publications

(33 citation statements)

References 29 publications

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“…Ctori I et al [56] also demonstrated that Spectralis SD-OCT segmentation software had excellent repeatability and reproducibility for each of eight individual retinal layer thickness measurements in healthy adults. However, the repeatability of GCIPL thickness measurements was lower in macular edema and atrophy patients [35]. The current study considered individual ocular biometry, including refractive error, and excluded patients with the presence of DME and other diseases affecting retinal function.…”

Section: Discussionmentioning

confidence: 99%

“…The averaged thicknesses of 3 circles and 9 sectors of the following layers were recorded in microns ( Fig 2B ) : the RNFL, GCL, IPL, inner nuclear layer (INL), outer plexiform layer (OPL), outer nuclear layer (ONL), retinal pigment epithelium (RPE), inner retinal layer (IRL), outer retinal layer (ORL) and total retina (TR). Because many researchers have utilized the GCIPL thickness and photoreceptor layer (PR) thickness [35–37], we also included these parameters in our analysis. The GCIPL and PR thicknesses were measured as the distances between the RNFL and IPL and between the internal limiting membrane (ILM) and RPE, respectively.…”

Section: Methodsmentioning

confidence: 99%

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Comparison of spectral-domain optical coherence tomography for intra-retinal layers thickness measurements between healthy and diabetic eyes among Chinese adults

Li¹,

Wang²,

Du³

et al. 2017

PLoS ONE

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PurposeTo compare intra-retinal layer thickness measurements between eyes with no or mild diabetic retinopathy (DR) and age-matched controls using Spectralis spectral-domain optical coherence tomography (SD-OCT).MethodsCross-sectional observational analysis study. High-resolution macular volume scans (30° * 25°) were obtained for 133 type 2 diabetes mellitus (T2DM) patients with no DR, 42 T2DM patients with mild DR and 115 healthy controls. The mean thickness was measured in all 9 Early Treatment Diabetic Retinopathy Study (ETDRS) sectors for 8 separate layers, inner retinal layer (IRL), outer retinal layer (ORL) and total retina (TR), after automated segmentation. The ETDRS grid consisted of three concentric circles of 1-, 3-, and 6-mm diameter. The superior, inferior, temporal, and nasal sectors of the 3- and 6-mm circles were respectively designated as S3, I3, T3, and N3 and S6, I6, T6, and N6. Linear regression analyses were conducted to evaluate the associations between the intra-retinal layer thicknesses, age, diabetes duration, fasting blood glucose and HbA1c.ResultsThe mean age and duration of T2DM were 61.1 and 13.7 years, respectively. Although no significant differences in the average TR and ORL volumes were observed among the groups, significant differences were found in the volume and sectorial thicknesses of the inner plexiform layer (IPL), outer plexiform layer (OPL) and IRL among the groups. In particular, the thicknesses of the IPL (S3, T3, S6, I6 and T6 sectors) and the IRL (S6 sector) were decreased in the no-DR group compared with the controls (P < 0.05). The thickness of the OPL (S3, N3, S6 and N6 sectors) was thinner in the no-DR group than in mild DR (P < 0.05). The average IPL thickness was significantly negatively correlated with age and the duration of diabetes.ConclusionThe assessment of the intra-retinal layer thickness showed a significant decrease in the IPL and IRL thicknesses in Chinese adults with T2DM, even in the absence of visible microvascular signs of DR.

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Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Comparison of spectral-domain optical coherence tomography for intra-retinal layers thickness measurements between healthy and diabetic eyes among Chinese adults

Li¹,

Wang²,

Du³

et al. 2017

PLoS ONE

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“…15 In a similar manner, we estimated the low repeatability of VD measurements using OCTA in patients with a low BCVA compared with patients with a good BCVA because of an unstable gaze. However, multivariate regression did not show statistically significant results.…”

Section: Figurementioning

confidence: 99%

Repeatability of vessel density measurements using optical coherence tomography angiography in retinal diseases

et al. 2018

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AimTo analyse the repeatability of vessel density (VD) measurements using optical coherence tomography angiography (OCTA) in patients with retinal diseases.MethodsTwo consecutive VD measurements using OCTA were analysed prospectively in patients with retinal diseases (diabetic macular oedema (DME), retinal vein occlusion (RVO) with macular oedema, epiretinal membrane (ERM), wet age-related macular degeneration (AMD)). The intraclass correlation coefficient (ICC), coefficient of variation (CV) and test-retest SD of VD measurements were assessed, and linear regression analyses were conducted to identify factors related to repeatability.ResultsA total of 134 eyes were analysed involving 20 eyes with DME, 44 eyes with RVO with macular oedema, 50 eyes with ERM and 20 eyes with wet AMD. The mean age was 64.9 years, and the mean best-corrected visual acuity (BCVA) was 0.24. The mean central macular thickness (CMT) was 391.6 µm, and the mean ganglion cell-inner plexiform layer (GC-IPL) thickness was 61.4 µm. In all four diseases, the ICC and CV of the full VD were 0.812 and 6.72%, respectively. Univariate analyses showed that the BCVA (B, 8.553; p=0.031), signal strength (B, −1.688; p=0.050), CMT (B, 0.019; p=0.015) and mean GC-IPL thickness (B, −0.103; p=0.001) were significant factors that affected the repeatability. Multivariate analyses of these factors showed a significant result for the GC-IPL thickness.ConclusionsMeasurements of the VD using OCTA showed relatively good repeatability for various retinal diseases. The BCVA, signal strength, CMT and GC-IPL thickness affected the repeatability, so these factors should be considered when analysing the VD.

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“…Some of these commercial methods also require human interaction to initiate or refine the segmentation results [11][12][13], which can be timeconsuming. In addition, recent publications have reported substantial errors in their results [14][15][16][17]. A number of experimental algorithms have also been proposed by research groups, either in two-dimensional individual scans [18,19] or taking advantage of the threedimensional nature of the acquired data, considering a priori determined smoothness, continuity and layer interaction constraints.…”

Section: Introductionmentioning

confidence: 99%

“…A general graph-based approach for the segmentation of surfaces was proposed in [20], with applications to volumetric OCT data in [21][22][23][24] Although these and other automated or semi-automated segmentation methods have been applied to SD-OCT images [28][29][30][31][32][33][34][35], they have a number of limitations. First, most segmentation algorithms fail to produce acceptable results in complicated cases, such as severe retinal deformities [15][16][17]36] or in lower quality scans that are routinely found in clinical practice. Second, most methods were designed for use with SD-OCT images acquired by experimental systems or from a particular vendor.…”

Section: Introductionmentioning

confidence: 99%

Automated intraretinal segmentation of SD-OCT images in normal and age-related macular degeneration eyes

Sisternes

Jonna

Moss

et al. 2017

Biomed. Opt. Express

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This work introduces and evaluates an automated intra-retinal segmentation method for spectral-domain optical coherence (SD-OCT) retinal images. While quantitative assessment of retinal features in SD-OCT data is important, manual segmentation is extremely time-consuming and subjective. We address challenges that have hindered prior automated methods, including poor performance with diseased retinas relative to healthy retinas, and data smoothing that obscures image features such as small retinal drusen. Our novel segmentation approach is based on the iterative adaptation of a weighted median process, wherein a three-dimensional weighting function is defined according to image intensity and gradient properties, and a set of smoothness constraints and pre-defined rules are considered. We compared the segmentation results for 9 segmented outlines associated with intra-retinal boundaries to those drawn by hand by two retinal specialists and to those produced by an independent state-of-the-art automated software tool in a set of 42 clinical images (from 14 patients). These images were obtained with a Zeiss Cirrus SD-OCT system, including healthy, early or intermediate AMD, and advanced AMD eyes. As a qualitative evaluation of accuracy, a highly experienced third independent reader blindly rated the quality of the outlines produced by each method. The accuracy and image detail of our method was superior in healthy and early or intermediate AMD eyes (98.15% and 97.78% of results not needing substantial editing) to the automated method we compared against. While the performance was not as good in advanced AMD (68.89%), it was still better than the manual outlines or the comparison method (which failed in such cases). We also tested our method's performance on images acquired with a different SD-OCT manufacturer, collected from a large publicly available data set (114 healthy and 255 AMD eyes), and compared the data quantitatively to reference standard markings of the internal limiting membrane and inner boundary of retinal pigment epithelium, producing a mean unsigned positioning error of 6.04 ± 7.83µm (mean under 2 pixels). Our automated method should be applicable to data from different OCT manufacturers and offers detailed layer segmentations in healthy and AMD eyes.

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Ganglion Cell–Inner Plexiform Layer Thickness in Retinal Diseases: Repeatability Study of Spectral-Domain Optical Coherence Tomography

Cited by 44 publications

References 29 publications

Comparison of spectral-domain optical coherence tomography for intra-retinal layers thickness measurements between healthy and diabetic eyes among Chinese adults

Comparison of spectral-domain optical coherence tomography for intra-retinal layers thickness measurements between healthy and diabetic eyes among Chinese adults

Repeatability of vessel density measurements using optical coherence tomography angiography in retinal diseases

Automated intraretinal segmentation of SD-OCT images in normal and age-related macular degeneration eyes

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