Glaucoma discrimination of segmented cirrus spectral domain optical coherence tomography (SD-OCT) macular scans

Aims To evaluate the glaucoma discriminating ability of macular retinal layers as measured by spectral domain optical coherence tomography (SD-OCT). Methods Healthy, glaucoma suspect and glaucomatous subjects had a comprehensive ocular examination, visual field testing and SD-OCT imaging (Cirrus HD-OCT; Carl Zeiss Meditec, Dublin, California, USA) in the macular and optic nerve head regions. OCT macular scans were segmented into macular nerve fibre layer (mNFL), ganglion cell layer with inner plexiform layer (GCIP), ganglion cell complex (GCC) (composed of mNFL and GCIP), outer retinal complex and total retina. Glaucoma discriminating ability was assessed using the area under the receiver operator characteristic curve (AUC) for all macular parameters and mean circumpapillary retinal nerve fibre layer (cpRNFL). Results Analysis was performed on 51 healthy, 49 glaucoma suspect and 63 glaucomatous eyes. The median visual field MD was −2.21 dB (IQR: −6.92 to −0.35) for the glaucoma group, −0.32 dB (IQR: −1.22 to 0.73) for the suspect group and −0.18 dB (IQR: −0.92 to 0.71) for the healthy group. Highest age adjusted AUCs were found for average GCC and GCIP (AUC=0.901 and 0.900, respectively) and their sectoral measurements: infero-temporal (0.922 and 0.913), inferior (0.904 and 0.912) and supero-temporal (0.910 and 0.897). These values were similar to the discriminating ability of the mean cpRNFL (AUC=0.913). Comparison of these AUCs did not yield any statistically significant difference (all p>0.05). Conclusions SD-OCT GCIP and GCC measurements showed similar glaucoma diagnostic ability and were comparable with that of cpRNFL.

[1]  Anthony J Correnti,et al.  Optical coherence tomography measurement of macular and nerve fiber layer thickness in normal and glaucomatous human eyes. , 2003, Ophthalmology.

[2]  Wing-Ho Yung,et al.  Comparison of macular and peripapillary measurements for the detection of glaucoma: an optical coherence tomography study. , 2005, Ophthalmology.

[3]  J A Hanley,et al.  Sampling variability of nonparametric estimates of the areas under receiver operating characteristic curves: an update. , 1997, Academic radiology.

[4]  G. Wollstein,et al.  Detection of macular ganglion cell loss in glaucoma by Fourier-domain optical coherence tomography. , 2009, Ophthalmology.

[5]  Hiroshi Ishikawa,et al.  Comparison of three optical coherence tomography scanning areas for detection of glaucomatous damage. , 2005, American journal of ophthalmology.

[6]  R Core Team,et al.  R: A language and environment for statistical computing. , 2014 .

[7]  A. Giovannini,et al.  The macular thickness and volume in glaucoma: an analysis in normal and glaucomatous eyes using OCT. , 2002, Acta ophthalmologica Scandinavica. Supplement.

[8]  M. Fingeret,et al.  The effects of race, optic disc area, age, and disease severity on the diagnostic performance of spectral-domain optical coherence tomography. , 2011, Investigative ophthalmology & visual science.

[9]  Hiroshi Ishikawa,et al.  Optical coherence tomography (OCT) macular and peripapillary retinal nerve fiber layer measurements and automated visual fields. , 2004, American journal of ophthalmology.

[10]  David Huang,et al.  Mapping of macular substructures with optical coherence tomography for glaucoma diagnosis. , 2006, Ophthalmology.

[11]  Joel S Schuman,et al.  Analysis of macular volume in normal and glaucomatous eyes using optical coherence tomography. , 2003, American journal of ophthalmology.

[12]  C. Curcio,et al.  Topography of ganglion cells in human retina , 1990, The Journal of comparative neurology.

[13]  H. Jampel,et al.  Quantitative detection of glaucomatous damage at the posterior pole by retinal thickness mapping. A pilot study. , 1998, Ophthalmology.

[14]  Ki Ho Park,et al.  Comparison of Cirrus OCT and Stratus OCT on the ability to detect localized retinal nerve fiber layer defects in preperimetric glaucoma. , 2010, Investigative ophthalmology & visual science.

[15]  Masaki Tanito,et al.  Reduction of posterior pole retinal thickness in glaucoma detected using the Retinal Thickness Analyzer. , 2004, Ophthalmology.

[16]  Sung Yong Kang,et al.  Macular and peripapillary retinal nerve fiber layer measurements by spectral domain optical coherence tomography in normal-tension glaucoma. , 2010, Investigative ophthalmology & visual science.

[17]  S. Ohkubo,et al.  Evaluation of Macular Thickness and Peripapillary Retinal Nerve Fiber Layer Thickness for Detection of Early Glaucoma Using Spectral Domain Optical Coherence Tomography , 2011, Journal of glaucoma.

[18]  M. Hangai,et al.  Spectral-domain Optical Coherence Tomography Measurement of Macular Volume for Diagnosing Glaucoma , 2010, Journal of glaucoma.

[19]  Robert W Knighton,et al.  Macular thickness changes in glaucomatous optic neuropathy detected using optical coherence tomography. , 2002, Archives of ophthalmology.

[20]  Masanori Hangai,et al.  Measurement of Retinal Nerve Fiber Layer Thickness and Macular Volume for Glaucoma Detection Using Optical Coherence Tomography , 2007, Japanese Journal of Ophthalmology.

[21]  I. Schmidtmann,et al.  Diagnostic ability of retinal ganglion cell complex, retinal nerve fiber layer, and optic nerve head measurements by Fourier-domain optical coherence tomography , 2011, Graefe's Archive for Clinical and Experimental Ophthalmology.

[22]  F. Medeiros,et al.  Evaluation of retinal nerve fiber layer, optic nerve head, and macular thickness measurements for glaucoma detection using optical coherence tomography. , 2005, American journal of ophthalmology.

[23]  Hiroshi Ishikawa,et al.  Macular segmentation with optical coherence tomography. , 2005, Investigative ophthalmology & visual science.