Diagnosis of Early-Stage Glaucoma by Grid-Wise Macular Inner Retinal Layer Thickness Measurement and Effect of Compensation of Disc-Fovea Inclination

Mayama, Chihiro; Saito, Hitomi; Hirasawa, Hiroyo; Tomidokoro, Atsuo; Araie, Makoto; Iwase, Aiko; Ohkubo, Shinji; Sugiyama, Kazuhisa; Hangai, Masanori; Yoshimura, Nagahisa

doi:10.1167/iovs.15-17208

Cited by 22 publications

(23 citation statements)

References 46 publications

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“…In the current study, although the simply summed values of measurements were used, AUC-ROC was 0.972, which was comparable to that reported by Yoshida et al9 However, these studies8,9 were conducted in hospital-based case–control settings. In contrast, we created a reasonable study algorithm in a population-based case–control setting and then applied that to a population-based setting; in the latter setting, the glaucoma positive rate was 16.3%, which seemed remarkably high.…”

Section: Discussionsupporting

confidence: 87%

“…In contrast, we created a reasonable study algorithm in a population-based case–control setting and then applied that to a population-based setting; in the latter setting, the glaucoma positive rate was 16.3%, which seemed remarkably high. In addition, we applied the protocol used by Mayama et al8 to our study population (5,208 subjects; mean age, 48 years). In the Mayama et al study,8 the glaucoma positive rate was 13.3% (694 subjects; Nakano, unpublished data, 2016).…”

Section: Discussionmentioning

confidence: 99%

“…In addition, we applied the protocol used by Mayama et al8 to our study population (5,208 subjects; mean age, 48 years). In the Mayama et al study,8 the glaucoma positive rate was 13.3% (694 subjects; Nakano, unpublished data, 2016). This rate was also high because the subjects were enrolled from the general population and had a mean age of 50 years.…”

Section: Discussionmentioning

confidence: 99%

“…The mean ± standard deviation (SD) age of the subjects was 55.7±8.5 years with a male:female ratio of 114:9. From a total of 2,922 subjects who underwent screening on the basis of a company code, 727 were arbitrarily selected as normal for enrollment in the study because they did not show: 1) any grade of abnormalities in the FDT test; 2) matched findings with Mayama’s protocol8 in the OCT test; 3) any abnormalities on fundus examination; and 4) poor quality of OCT images. Their mean age was 48.5±9.4 years with a male:female ratio of 648:79.…”

Section: Methodsmentioning

confidence: 99%

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Applicability of automatic spectral domain optical coherence tomography for glaucoma mass screening

Nakano

Hayashi

Nakagawa

et al. 2016

OPTH

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PurposeTo perform a preliminary evaluation of the applicability of automatic spectral domain optical coherence tomography (ASD-OCT) for glaucoma mass screening in a population-based setting.MethodsInformation using ASD-OCT (thicknesses of the macular retinal nerve fiber layer [mRNFL], disc retinal nerve fiber layer [dRNFL], ganglion cell layer [GCL] + inner plexiform layer [IPL]; GCL+, and ganglion cell complex [GCL + IPL + RNFL; GCL++]) was obtained from 245 eyes of 123 glaucomatous subjects and 1,454 eyes of 727 normal subjects. For all four measurements, each grid was scored as follows: 2= within 95% of the normal database; 1= within 5%; and 0= within 1%. The sums of each grid (mRNFLs, dRNFLs, GCL+s, and GCL++s) were used as indicators. The effectiveness was estimated by the area under the receiver operating characteristic curve (AUC-ROC). The appropriate algorithm was then applied to 10,145 eyes of 5,088 subjects from the general population (mean age: 50.1±10.3 years).ResultsAUC-ROC of mRNFLs, dRNFLs, GCL+s, and GCL++s was 0.927 (95% confidence interval [CI] =0.903–0.950), 0.919 (95% CI =0.899–0.940), 0.972 (95% CI =0.958–0.986), and 0.972 (95% CI =0.957–0.986), respectively. The discriminant analysis demonstrated that the canonical correlation coefficients of mRNFLs, dRNFLs, GCL+s, and dGCL++s were 0.07, 0.255, 0.661, and 0.207, respectively. AUC-ROC of the discriminant value was 0.971 (95% CI =0.956–0.986). The sensitivity/specificity using GCL+s (cutoff =160) was 81.6%/99.9%. This algorithm was applied to the general population, and 1,658 eyes (16.3%) were found to be positive for glaucoma.ConclusionIn the case–control setting, ASD-OCT showed a relatively high performance, and the thickness of the GCL + IPL was the best predictor. However, further prospective studies are needed, in which the results of this study are compared to the general population, because the false-positive rate of glaucoma seems to be high.

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Section: Discussionsupporting

confidence: 87%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

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Applicability of automatic spectral domain optical coherence tomography for glaucoma mass screening

Nakano

Hayashi

Nakagawa

et al. 2016

OPTH

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“…12,47 While a number of past studies have investigated age-related retinal tissue loss with OCT, 48–51 to the best of our knowledge this is the first investigation that not only analyzed the gridwise GCL thickness changes but also clustered them into statistically separable theme classes according to temporal regression signatures. This study demonstrated that pattern recognition can be applied to retinal thickness measurement, with the advantage of allowing a large number of data points to be analyzed for multiobjective optimization over n dimensions and, at the same time, statistically test the separability of the clusters.…”

Section: Discussionmentioning

confidence: 99%

Pattern Recognition Analysis of Age-Related Retinal Ganglion Cell Signatures in the Human Eye

Yoshioka

Zangerl

Nivison‐Smith

et al. 2017

Invest. Ophthalmol. Vis. Sci.

109

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PurposeTo characterize macular ganglion cell layer (GCL) changes with age and provide a framework to assess changes in ocular disease. This study used data clustering to analyze macular GCL patterns from optical coherence tomography (OCT) in a large cohort of subjects without ocular disease.MethodsSingle eyes of 201 patients evaluated at the Centre for Eye Health (Sydney, Australia) were retrospectively enrolled (age range, 20–85); 8 × 8 grid locations obtained from Spectralis OCT macular scans were analyzed with unsupervised classification into statistically separable classes sharing common GCL thickness and change with age. The resulting classes and gridwise data were fitted with linear and segmented linear regression curves. Additionally, normalized data were analyzed to determine regression as a percentage. Accuracy of each model was examined through comparison of predicted 50-year-old equivalent macular GCL thickness for the entire cohort to a true 50-year-old reference cohort.ResultsPattern recognition clustered GCL thickness across the macula into five to eight spatially concentric classes. F-test demonstrated segmented linear regression to be the most appropriate model for macular GCL change. The pattern recognition–derived and normalized model revealed less difference between the predicted macular GCL thickness and the reference cohort (average ± SD 0.19 ± 0.92 and −0.30 ± 0.61 μm) than a gridwise model (average ± SD 0.62 ± 1.43 μm).ConclusionsPattern recognition successfully identified statistically separable macular areas that undergo a segmented linear reduction with age. This regression model better predicted macular GCL thickness. The various unique spatial patterns revealed by pattern recognition combined with core GCL thickness data provide a framework to analyze GCL loss in ocular disease.

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Variance in the macular sublayers’ volume as a diagnostic tool for primary open-angle glaucoma

Nowroozzadeh

Khatami²,

Estedlal³

et al. 2022

Int Ophthalmol

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Diagnosis of Early-Stage Glaucoma by Grid-Wise Macular Inner Retinal Layer Thickness Measurement and Effect of Compensation of Disc-Fovea Inclination

Abstract: Grid-wise analysis of macular GCC--especially using 8 × 8 grids and normative data-based cutoff values--was very useful for diagnosing early-stage glaucoma, though compensation of the disc-fovea inclination had little effect.

Cited by 22 publications

References 46 publications

Applicability of automatic spectral domain optical coherence tomography for glaucoma mass screening

Applicability of automatic spectral domain optical coherence tomography for glaucoma mass screening

Pattern Recognition Analysis of Age-Related Retinal Ganglion Cell Signatures in the Human Eye

Variance in the macular sublayers’ volume as a diagnostic tool for primary open-angle glaucoma

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