A comparison of false positives in retinal nerve fiber layer, optic nerve head and macular ganglion cell-inner plexiform layer from two spectral-domain optical coherence tomography devices

Leal-Fonseca, Marina; Rebolleda, Gema; Oblanca, Noelia; Moreno-Montañés, Javier; Muñoz‐Negrete, Francisco J.

doi:10.1007/s00417-013-2529-7

Cited by 37 publications

(39 citation statements)

References 31 publications

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“…Prior studies have of 2D RNFL thickness measurements have reported artifacts rates ranging from 18.0% to 46.7%. 32,45–48 In the current study of 3D RNFL volume, we also found that algorithm failure in segmenting the posterior border of the RNFL was higher in OAG patients (16.9%) compared to normal patients (12.2%), and this is consistent with a previous report from our group. 32 Accurate RNFL thickness measurements are more difficult to obtain in glaucoma patients, because glaucomatous disease causes thinning of the RNFL and also loss of reflectivity of this layer.…”

Section: Discussionsupporting

confidence: 93%

Diagnostic Capability of Peripapillary Three-dimensional Retinal Nerve Fiber Layer Volume for Glaucoma Using Optical Coherence Tomography Volume Scans

Khoueir

Jassim

Poon

et al. 2017

American Journal of Ophthalmology

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Purpose To determine the diagnostic capability of peripapillary 3-dimensional (3D) retinal nerve fiber layer (RNFL) volume measurements from spectral domain optical coherence tomography (OCT) volume scans for open angle glaucoma (OAG). Design Assessment of diagnostic accuracy. Methods Setting Academic clinical setting. Study population 180 patients (113 OAG and 67 normal subjects). Observation procedures One eye per subject was included. Peripapillary 3D RNFL volumes were calculated for global, quadrant, and sector regions, using four different sized annuli. Peripapillary 2D RNFL thickness circle scans were also obtained. Main outcome measures Area under the receiver operating characteristic curve (AUROC) values, sensitivity, specificity, positive and negative predictive values, positive and negative likelihood ratios. Results Among all 2D and 3D RNFL parameters, best diagnostic capability was associated with inferior quadrant 3D RNFL volume of the smallest annulus (AUROC curve value 0.977). Otherwise, global 3D RNFL volume AUROC curve values were comparable to global 2D RNFL thickness AUROC curve values for all 4 annuli sizes (p values: 0.0593 to 0.6866). When comparing the 4 annuli sizes for global RNFL volume, the smallest annulus had the best AUROC curve values (p values: 0.0317 to 0.0380). The smallest sized annulus may have the best diagnostic potential partly due to having no areas excluded for being larger than the 6×6 mm square scanned region. Conclusion Peripapillary 3D RNFL volume showed excellent diagnostic performance for detecting glaucoma. Peripapillary 3D RNFL volume parameters have the same or better diagnostic capability compared to peripapillary 2D RNFL thickness measurements, although differences were not statistically significant.

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Section: Discussionsupporting

confidence: 93%

Diagnostic Capability of Peripapillary Three-dimensional Retinal Nerve Fiber Layer Volume for Glaucoma Using Optical Coherence Tomography Volume Scans

Khoueir

Jassim

Poon

et al. 2017

American Journal of Ophthalmology

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“…[13][14][15] However, RNFL and GCIPL assessments target different neuroretinal areas, and they may be potentially complementary to overcome the incidence of false positive results of some OCT RNFL parameters. 16 Thus, in Cirrus OCT, Leal-Fonseca et al 16 reported an 11% false positive rate in the average RNFL color code and 13% in the superior and inferior quadrants and average C/D ratio. This supports the combined use of parameters from different retinal areas for diagnosing glaucoma.…”

Section: Discussionmentioning

confidence: 99%

A Diagnostic Calculator for Detecting Glaucoma on the Basis of Retinal Nerve Fiber Layer, Optic Disc, and Retinal Ganglion Cell Analysis by Optical Coherence Tomography

Larrosa

Moreno-Montañés

Martinez-de-la-Casa

et al. 2015

Invest. Ophthalmol. Vis. Sci.

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Citation: Larrosa JM, Moreno-Montañés J, Martinez-de-la-Casa JM, et al. A diagnostic calculator for detecting glaucoma on the basis of retinal nerve fiber layer, optic disc, and retinal ganglion cell analysis by optical coherence tomography. Invest Ophthalmol Vis Sci. 2015;56:6788-6795. DOI:10.1167/iovs.15-17176 PURPOSE. The purpose of this study was to develop and validate a multivariate predictive model to detect glaucoma by using a combination of retinal nerve fiber layer (RNFL), retinal ganglion cell-inner plexiform (GCIPL), and optic disc parameters measured using spectraldomain optical coherence tomography (OCT). METHODS.Five hundred eyes from 500 participants and 187 eyes of another 187 participants were included in the study and validation groups, respectively. Patients with glaucoma were classified in five groups based on visual field damage. Sensitivity and specificity of all glaucoma OCT parameters were analyzed. Receiver operating characteristic curves (ROC) and areas under the ROC (AUC) were compared. Three predictive multivariate models (quantitative, qualitative, and combined) that used a combination of the best OCT parameters were constructed. A diagnostic calculator was created using the combined multivariate model. RESULTS.The best AUC parameters were: inferior RNFL, average RNFL, vertical cup/disc ratio, minimal GCIPL, and inferior-temporal GCIPL. Comparisons among the parameters did not show that the GCIPL parameters were better than those of the RNFL in early and advanced glaucoma. The highest AUC was in the combined predictive model (0.937; 95% confidence interval, 0.911-0.957) and was significantly (P ¼ 0.0001) higher than the other isolated parameters considered in early and advanced glaucoma. The validation group displayed similar results to those of the study group.CONCLUSIONS. Best GCIPL, RNFL, and optic disc parameters showed a similar ability to detect glaucoma. The combined predictive formula improved the glaucoma detection compared to the best isolated parameters evaluated. The diagnostic calculator obtained good classification from participants in both the study and validation groups.

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“…Axial length, mean spherical equivalent, presence of peripapillary atrophy, and tilted disc were significantly related to the RNFL FP occurrence displayed by both the devices; therefore, the degree of myopic optic disc tilt should be considered when interpreting the RNFL thickness measured by OCT 5,7–10. Clinical features of tilted disc overlap with other conditions, such as myopic disc and glaucoma, but the role of conventional OCT imaging technologies for the optic nerve head (ONH) is limited 4,5…”

Section: Introductionmentioning

confidence: 97%

“…A study has reported that Spectralis OCT (Heidelberg Engineering, Dossenheim, Germany) might be more specific than Cirrus (39% vs 18%) when evaluating RNFL thickness for Caucasians and moderate myopic population 5. Axial length, mean spherical equivalent, presence of peripapillary atrophy, and tilted disc were significantly related to the RNFL FP occurrence displayed by both the devices; therefore, the degree of myopic optic disc tilt should be considered when interpreting the RNFL thickness measured by OCT 5,7–10.…”

Section: Introductionmentioning

confidence: 99%

The new Bruch’s membrane opening – minimum rim width classification improves optical coherence tomography specificity in tilted discs

Rebolleda¹,

Casado²,

Oblanca³

et al. 2016

OPTH

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Background and objectiveTo investigate and compare the false-positive (FP) diagnostic classification of the Bruch’s membrane opening – minimum rim width (BMO-MRW) and retinal nerve fiber layer (RNFL) thickness in healthy eyes with tilted optic disc.Materials and methodsFifty healthy eyes of 30 participants with tilted optic disc underwent BMO-MRW and RNFL scanning using Spectralis and macular Cirrus optical coherence tomography (OCT) scans.ResultsThe overall FP rate was significantly lower using BMO-MRW map compared with both RNFL map by Spectralis (8% vs 62%, respectively, P<0.001) and ganglion cell analysis (GCA) map by Cirrus (8% vs 50%, respectively, P<0.001). Specificity was significantly higher using BMO-MRW than RNFL in eyes with low (89.7% vs 41.4%, P<0.001) and moderate myopia (95.2% vs 33.3%, P<0.001).ConclusionOCT-derived BMO-MRW analysis provides significantly greater specificity than RNFL in tilted disc irrespectively of the refractive error, and it is more specific than GCA analysis in tilted disc with moderate myopia.

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A comparison of false positives in retinal nerve fiber layer, optic nerve head and macular ganglion cell-inner plexiform layer from two spectral-domain optical coherence tomography devices

Abstract: Spectralis might be more specific than Cirrus when evaluating the RNFL thickness for Caucasians and moderate myopic population. GCIPL and ONH analysis might be more useful than RNFL thickness to evaluate this population using Cirrus OCT.

Cited by 37 publications

References 31 publications

Diagnostic Capability of Peripapillary Three-dimensional Retinal Nerve Fiber Layer Volume for Glaucoma Using Optical Coherence Tomography Volume Scans

Diagnostic Capability of Peripapillary Three-dimensional Retinal Nerve Fiber Layer Volume for Glaucoma Using Optical Coherence Tomography Volume Scans

A Diagnostic Calculator for Detecting Glaucoma on the Basis of Retinal Nerve Fiber Layer, Optic Disc, and Retinal Ganglion Cell Analysis by Optical Coherence Tomography

The new Bruch’s membrane opening – minimum rim width classification improves optical coherence tomography specificity in tilted discs

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A comparison of false positives in retinal nerve fiber layer, optic nerve head and macular ganglion cell-inner plexiform layer from two spectral-domain optical coherence tomography devices

Abstract: Spectralis might be more specific than Cirrus when evaluating the RNFL thickness for Caucasians and moderate myopic population. GCIPL and ONH analysis might be more useful than RNFL thickness to evaluate this population using Cirrus OCT.

Cited by 37 publications

References 31 publications

Diagnostic Capability of Peripapillary Three-dimensional Retinal Nerve Fiber Layer Volume for Glaucoma Using Optical Coherence Tomography Volume Scans

Diagnostic Capability of Peripapillary Three-dimensional Retinal Nerve Fiber Layer Volume for Glaucoma Using Optical Coherence Tomography Volume Scans

A Diagnostic Calculator for Detecting Glaucoma on the Basis of Retinal Nerve Fiber Layer, Optic Disc, and Retinal Ganglion Cell Analysis by Optical Coherence Tomography

The new Bruch&rsquo;s membrane opening &ndash; minimum rim width classification improves optical coherence tomography specificity in tilted discs

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The new Bruch’s membrane opening – minimum rim width classification improves optical coherence tomography specificity in tilted discs