Facilitating glaucoma diagnosis with intereye neuroretinal rim asymmetry analysis using spectral-domain optical coherence tomography.

Purpose To determine whether intereye asymmetry of a three-dimensional neuroretinal rim parameter, the minimum distance band, is useful in differentiating normal eyes from those with open-angle glaucoma. Materials and Methods This is a cross-sectional study of 28 normal subjects and 33 glaucoma subjects. Subjects underwent spectral domain optical coherence tomography imaging of both eyes. From high-density raster scans of the optic nerve head, a custom-designed segmentation algorithm calculated mean minimum distance band neuroretinal rim thickness globally, for four quadrants, and for four sectors. Intereye minimum distance band thickness asymmetry was calculated as the absolute difference in minimum distance band thickness values between the right and left eyes. Results Increasing global minimum distance band thickness asymmetry was not associated with increasing age or increasing refractive error asymmetry. Glaucoma patients had thinner mean neuroretinal rim thickness values compared to normal patients (209.0 μm vs 306.0 μm [P < 0.001]). Glaucoma subjects had greater intereye thickness asymmetry compared to normal subjects for the global region (51.9 μm vs 17.6 μm [P < 0.001]) as well as for all quadrants and all sectors. For detecting glaucoma, a thickness asymmetry value >28.3 μm in the inferior quadrant yielded the greatest sum of sensitivity (87.9%) and specificity (75.0%). Globally, thickness asymmetry >30.7 μm yielded the greatest sum of sensitivity (66.7%) and specificity (89.3%). Conclusions This study indicates that intereye neuroretinal rim minimum distance band asymmetry measurements, using high-density spectral domain optical coherence tomography volume scans, may be an objective and quantitative tool for assessing patients suspected of open-angle glaucoma.

[1]  J. D. de Boer,et al.  Reproducibility of Neuroretinal Rim Measurements Obtained from High-Density Spectral Domain Optical Coherence Tomography Volume Scans , 2022, Clinical ophthalmology.

[2]  T. Elze,et al.  Structure-Function Mapping Using a Three-Dimensional Neuroretinal Rim Parameter Derived From Spectral Domain Optical Coherence Tomography Volume Scans , 2021, Translational vision science & technology.

[3]  Teresa C. Chen,et al.  Artifact Rates for 2D Retinal Nerve Fiber Layer Thickness Versus 3D Neuroretinal Rim Thickness Using Spectral-Domain Optical Coherence Tomography , 2020, Translational vision science & technology.

[4]  B. Vakoc,et al.  Artifact Rates for 2D Retinal Nerve Fiber Layer Thickness Versus 3D Retinal Nerve Fiber Layer Volume , 2020, Translational vision science & technology.

[5]  J. D. de Boer,et al.  Analysis of Neuroretinal Rim by Age, Race, and Sex Using High-Density 3-Dimensional Spectral-Domain Optical Coherence Tomography , 2019, Journal of glaucoma.

[6]  Y. Ko,et al.  Diagnostic ability of macular ganglion cell asymmetry in Preperimetric Glaucoma , 2019, BMC Ophthalmology.

[7]  L. Zangwill,et al.  Inter-eye Asymmetry of Optical Coherence Tomography Angiography Vessel Density in Bilateral Glaucoma, Glaucoma Suspect, and Healthy Eyes. , 2018, American journal of ophthalmology.

[8]  D. Budenz,et al.  New developments in optical coherence tomography imaging for glaucoma , 2017, Current opinion in ophthalmology.

[9]  J. Jethani,et al.  Asymmetry of Retinal Nerve Fiber Layer and Posterior Pole Asymmetry Analysis Parameters of Spectral Domain Optical Coherence Tomography in Children , 2017, Seminars in ophthalmology.

[10]  V. P. Costa,et al.  Interocular Asymmetry of Minimum Rim Width and Retinal Nerve Fiber Layer Thickness in Healthy Brazilian Individuals , 2017, Journal of glaucoma.

[11]  J. D. de Boer,et al.  Comprehensive Three-Dimensional Analysis of the Neuroretinal Rim in Glaucoma Using High-Density Spectral-Domain Optical Coherence Tomography Volume Scans , 2016, Investigative ophthalmology & visual science.

[12]  Edem Tsikata,et al.  Diagnostic Performance of a Novel Three-Dimensional Neuroretinal Rim Parameter for Glaucoma Using High-Density Volume Scans. , 2016, American journal of ophthalmology.

[13]  D. Mackey,et al.  Spectral-Domain Optical Coherence Tomography-Derived Characteristics of Bruch Membrane Opening in a Young Adult Australian Population. , 2016, American journal of ophthalmology.

[14]  Teresa C. Chen,et al.  Facilitating Glaucoma Diagnosis With Intereye Retinal Nerve Fiber Layer Asymmetry Using Spectral-Domain Optical Coherence Tomography , 2016, Journal of glaucoma.

[15]  S. Asrani,et al.  Macular thickness analysis for glaucoma diagnosis and management , 2016, Taiwan journal of ophthalmology.

[16]  B. Chauhan,et al.  Bruch’s Membrane Opening-Based Neuroretinal Rim Width and Retinal Nerve Fibre Layer Thickness in a Normal Japanese Population. A Multi-Centre Study , 2015 .

[17]  Edem Tsikata,et al.  Patient characteristics associated with artifacts in Spectralis optical coherence tomography imaging of the retinal nerve fiber layer in glaucoma. , 2015, American journal of ophthalmology.

[18]  Hisashi Noma,et al.  Asymmetry analysis of macular inner retinal layers for glaucoma diagnosis. , 2014, American journal of ophthalmology.

[19]  M. Nicolela,et al.  Improved diagnostic performance of an optical coherence tomography-derived neuroretinal rim parameter in myopic eyes. , 2014 .

[20]  Sanjay Asrani,et al.  Artifacts in spectral-domain optical coherence tomography measurements in glaucoma. , 2014, JAMA ophthalmology.

[21]  K. Takayama,et al.  Macular imaging in highly myopic eyes with and without glaucoma. , 2013, American journal of ophthalmology.

[22]  C. Qualls,et al.  Diagnostic precision of retinal nerve fiber layer and macular thickness asymmetry parameters for identifying early primary open-angle glaucoma. , 2013, American journal of ophthalmology.

[23]  M. Nicolela,et al.  Enhanced detection of open-angle glaucoma with an anatomically accurate optical coherence tomography-derived neuroretinal rim parameter. , 2013, Ophthalmology.

[24]  K. Takayama,et al.  Retinal nerve fiber layer defects in highly myopic eyes with early glaucoma. , 2012, Investigative ophthalmology & visual science.

[25]  Johannes F de Boer,et al.  Diagnostic capability of spectral-domain optical coherence tomography for glaucoma. , 2012, American journal of ophthalmology.

[26]  Jean-Claude Mwanza,et al.  Interocular symmetry in peripapillary retinal nerve fiber layer thickness measured with the Cirrus HD-OCT in healthy eyes. , 2011, American journal of ophthalmology.

[27]  Seung Woo Hong,et al.  Effect of myopia on the thickness of the retinal nerve fiber layer measured by Cirrus HD optical coherence tomography. , 2010, Investigative ophthalmology & visual science.

[28]  Teresa C. Chen,et al.  Spectral domain optical coherence tomography in glaucoma: qualitative and quantitative analysis of the optic nerve head and retinal nerve fiber layer (an AOS thesis). , 2009, Transactions of the American Ophthalmological Society.

[29]  C. Cheung,et al.  Retinal nerve fiber layer measurements in myopia: An optical coherence tomography study. , 2006, Investigative ophthalmology & visual science.

[30]  Douglas Hoffman,et al.  Identifying early glaucoma with optical coherence tomography. , 2003, American journal of ophthalmology.

[31]  Makoto Nakamura,et al.  Evaluation of the glaucomatous damage on retinal nerve fiber layer thickness measured by optical coherence tomography. , 2003, American journal of ophthalmology.

[32]  L. Zangwill,et al.  Ethnic Differences in Optic Nerve Head Topography , 1995, Journal of glaucoma.

[33]  Mircea Mujat,et al.  Spectral Domain Optical Coherence Tomography and Glaucoma , 2008, International ophthalmology clinics.

[34]  M. Kass,et al.  Racial differences in optic disc topography: baseline results from the confocal scanning laser ophthalmoscopy ancillary study to the ocular hypertension treatment study. , 2004, Archives of ophthalmology.