Diagnostic Capability of 3D Peripapillary Retinal Volume for Glaucoma Using Optical Coherence Tomography Customized Software

Liu, Yingna; Jassim, Firas; Braaf, Boy; Khoueir, Ziad; Poon, Yi-Chieh; Ben-David, Geulah S.; Papadogeorgou, Georgia; Tsikata, Edem; Simavlı, Hüseyin; Que, Christian; Lee, Ramon; Shieh, Eric; Vakoc, Benjamin J.; Bouma, Brett E.; Boer, Johannes F. de; Chen, Teresa C.

doi:10.1097/ijg.0000000000001291

Cited by 5 publications

(9 citation statements)

References 53 publications

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“…Notably, our total artifact rate for glaucoma patients (61.7%) is outside the 7.1% to 58.5% range reported in the literature. [13][14][15][16][17][18][19][20][21][22] This may be due to our broad inclusion of several different types of artifacts, as opposed to only segmentation errors, which were the focus of other papers. 15,17,19,20 We discovered significant differences in the types of 3D artifacts found between glaucoma and normal patients.…”

Section: Discussionmentioning

confidence: 99%

“…[5][6][7][8][9][10][11][12] However, its value is limited by a high rate of artifacts, with 7.1% to 58.5% of RNFL scans affected. [13][14][15][16][17][18][19][20][21][22] Studies show that these artifacts may cause clinically significant errors in measurement 17,23,24 and lead to false glaucoma classifications in as many as 39.0% of scans. [24][25][26] The minimum distance band (MDB) quantifies three-dimensional (3D) neuroretinal rim tissue from a high-density SD-OCT optic nerve volume scan protocol using custom-designed research software.…”

Section: Introductionmentioning

confidence: 99%

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Artifact Rates for 2D Retinal Nerve Fiber Layer Thickness Versus 3D Neuroretinal Rim Thickness Using Spectral-Domain Optical Coherence Tomography

Park

Tsikata

Lee

et al. 2020

Trans. Vis. Sci. Tech.

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Purpose To compare the rates of clinically significant artifacts for two-dimensional peripapillary retinal nerve fiber layer (RNFL) thickness versus three-dimensional (3D) neuroretinal rim thickness using spectral-domain optical coherence tomography (SD-OCT). Methods Only one eye per patient was used for analysis of 120 glaucoma patients and 114 normal patients. For RNFL scans and optic nerve scans, 15 artifact types were calculated per B-scan and per eye. Neuroretinal rim tissue was quantified by the minimum distance band (MDB). Global MDB neuroretinal rim thicknesses were calculated before and after manual deletion of B-scans with artifacts and subsequent automated interpolation. A clinically significant artifact was defined as one requiring manual correction or repeat scanning. Results Among glaucomatous eyes, artifact rates per B-scan were significantly more common in RNFL scans (61.7%, 74 of 120) compared to B-scans in neuroretinal rim volume scans (20.9%, 1423 of 6820) (95% confidence interval [CI], 31.6–50.0; P < 0.0001). For clinically significant artifact rates per eye, optic nerve scans had significantly fewer artifacts (15.8% of glaucomatous eyes, 13.2% of normal eyes) compared to RNFL scans (61.7% of glaucomatous eyes, 25.4% of normal eyes) (glaucoma group: 95% CI, 34.1–57.5, P < 0.0001; normal group: 95% CI, 1.3–23.3, P = 0.03). Conclusions Compared to the most commonly used RNFL thickness scans, optic nerve volume scans less frequently require manual correction or repeat scanning to obtain accurate measurements. Translational Relevance This paper illustrates the potential for 3D OCT algorithms to improve in vivo imaging in glaucoma.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Artifact Rates for 2D Retinal Nerve Fiber Layer Thickness Versus 3D Neuroretinal Rim Thickness Using Spectral-Domain Optical Coherence Tomography

Park

Tsikata

Lee

et al. 2020

Trans. Vis. Sci. Tech.

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“… 32 , 33 From 3D optic nerve 193-line raster volume scans, the MDB neuroretinal rim thickness was calculated using custom-designed software. 14 – 16 The MDB borders were automatically detected, with the outer border ring as the RPE/BM termination or OCT-based disc boundary and the inner border ring at the ONH surface. The MDB neuroretinal rim thickness values were calculated for global values and quadrant values.…”

Section: Methodsmentioning

confidence: 99%

Three-dimensional Neuroretinal Rim Thickness and Visual Fields in Glaucoma: A Broken-stick Model

Liu

McClurkin

Tsikata

et al. 2020

Journal of Glaucoma

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I. Analysis of the structure-function relationship in the linear scale with the broken-stick model We also applied the broken-stick model to the VF data and the MDB structural parameters both in the linear scale. When the VF TD data was transformed to the linear scale, the observation that "the structurefunction relationship displayed a plateau, with neuroretinal rim thickness values being unrelated to VF values" was not readily visualized in some of quadrants/ sectors (Figure S1). Further statistical evaluation shows that the slopes above the tipping point are not significantly different from 0, as shown in Table S1. We added in a model-agnostic lowess smoothing curve to compare with the fitted broken-stick model on the data of unlogged VF TD against the MDB. The broken stick model fit didn't match with the lowess fit for the Temporal-Inferior region and the Inferior quadrant. Furthermore, the breakpoint didn't exist for the nasal and temporal quadrants and the TS and NI octants, as shown in the table below where the pvalues are greater than 0.05 (Table S1). For the breakpoints which did exist (i.e. the global value, superior and inferior quadrants, TI and NS sectors), the fitted breakpoints in the linear scale were different for the breakpoints obtained in the logarithmic fits and not encompassed by their respective confidence intervals from the logarithmic scale. As a final remark, indeed the question of whether the structure-function relationship between the VF data and the neuroretinal rim data should be established as a logarithmic-linear scale or as a linear-linear scale has been actively studied in the past two decades. 1-4 A variety of models have been employed to describe the structure-function relationship in both the linear and curvilinear regimes. With this rich history of research on this topic behind us, we primarily presented the data by looking at the VF in the logarithmic scale (or in its native "untransformed" form) since it is more clinically utilized. Also, the logarithmic scale helps to distinguish among the moderate and severe glaucomatous patients.

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“…Thinning of the RNFL is associated with glaucoma. However, the greatest limitation of the RNFL thickness measurement is that its OCT measurements may be inaccurate because of artifacts in 19.9–46.3% of scans [ 24 , 25 , 26 ▪▪ , 27 ▪ , 28 ]. In an analysis of 2313 scans from 1188 patients, Liu et al defined 12 types of artifacts, which can be caused by poor data acquisition, inaccurate software analysis, or patient ocular disorder [ 28 ].…”

Section: Starting With Retinal Nerve Fiber Layer Thickness: Two-dimen...mentioning

confidence: 99%

“…Furthermore, two other studies showed that peripapillary retinal volume measurements [ 26 ▪▪ , 39 ] have excellent performance as a diagnostic tool to detect glaucoma as retinal volume is lower in OAG patients compared with normal patients. The first study used ETDRS scan circles in commercially available software packages and showed that best retinal volume parameters had similar diagnostic ability compared with best RNFL thickness parameters [ 39 ].…”

Section: Around the Optic Nerve: Peripapillary Retinal Volume Three-d...mentioning

confidence: 99%

New views on three-dimensional imaging technologies for glaucoma: an overview

Aparicio

Chen

2021

Current Opinion in Ophthalmology

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Purpose of review To summarize the literature on three-dimensional (3D) technological advances in ophthalmology, the quantitative methods associated with this, and their improved ability to help detect glaucoma disease progression. Recent findings Improvements in measuring glaucomatous structural changes are the result of dual innovations in optical coherence tomography (OCT) imaging technology and in associated quantitative software. Summary Compared with two-dimensional (2D) OCT parameters, newer 3D parameters provide more data and fewer artifacts.

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Diagnostic Capability of 3D Peripapillary Retinal Volume for Glaucoma Using Optical Coherence Tomography Customized Software

Abstract: Supplemental Digital Content is available in the text.

Cited by 5 publications

References 53 publications

Artifact Rates for 2D Retinal Nerve Fiber Layer Thickness Versus 3D Neuroretinal Rim Thickness Using Spectral-Domain Optical Coherence Tomography

Artifact Rates for 2D Retinal Nerve Fiber Layer Thickness Versus 3D Neuroretinal Rim Thickness Using Spectral-Domain Optical Coherence Tomography

Three-dimensional Neuroretinal Rim Thickness and Visual Fields in Glaucoma: A Broken-stick Model

New views on three-dimensional imaging technologies for glaucoma: an overview

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