Comparison of Different Spectral Domain Optical Coherence Tomography Scanning Areas for Glaucoma Diagnosis

Rao, Harsha L.; Zangwill, Linda M.; Weinreb, Robert N.; Sample, Pamela A.; Alencar, Luciana M.; Medeiros, Felipe A.

doi:10.1016/j.ophtha.2010.01.031

Cited by 169 publications

(157 citation statements)

References 32 publications

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“…We have recently demonstrated how a control cohort with no suspicious findings of glaucoma can affect the diagnostic ability of SDOCT parameters in glaucoma compared with a control cohort which is likely to be misinterpreted as glaucoma. 16 Due to the same reason, AUCs of RNFL parameters reported in our study are also lower compared with the studies that have reported the same with SDOCT 7,10,29 and GDx ECC 5,12,13,30 separately.…”

Section: Discussioncontrasting

confidence: 44%

“…The amount of birefringence bias is then mathematically removed point by point from the total 1 VST Glaucoma Center, L V Prasad Eye Institute, Hyderabad, India 2 Center for Clinical Epidemiology and Biostatistics, L V Prasad Eye Institute, Hyderabad, India birefringence pattern of the image to improve the signal and obtain a retardation pattern of the RNFL with the least noise. [4][5][6] Though numerous studies have reported good diagnostic ability of both SDOCT [7][8][9][10][11] and GDx ECC 12,13 in glaucoma, there is limited literature on the head-to-head comparison of these imaging techniques in the same population. 14,15 Also, most of these studies have employed a case-control design including glaucoma patients (cases), defined based on the presence of repeatable characteristic glaucomatous visual field (VF) defects; and normal subjects (controls), usually recruited from the general population and having normal intraocular pressures (IOPs), healthy appearance of the optic nerve and normal VFs.…”

Section: Introductionmentioning

confidence: 99%

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Retinal nerve fiber layer evaluation of spectral domain optical coherence tomograph and scanning laser polarimeter to diagnose glaucoma

Rao

Yadav

Addepalli

et al. 2014

Eye

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Purpose To compare the abilities of retinal nerve fiber layer (RNFL) parameters of spectral domain optical coherence tomograph (SDOCT) and scanning laser polarimeter (GDx enhanced corneal compensation; ECC) in detecting glaucoma. Methods In a cross-sectional study, 215 eyes of 165 subjects (106 eyes of 79 glaucoma patients and 109 eyes of 86 controls) referred by general ophthalmologists for glaucoma evaluation underwent RNFL imaging with SDOCT and GDx ECC. Ability of RNFL parameters of SDOCT to discriminate glaucoma eyes from control eyes was compared with that of GDx ECC using area under operating characteristic curves (AUCs), sensitivities at fixed specificities, and likelihood ratios (LRs). Results AUC of the average RNFL thickness of SDOCT to differentiate glaucoma from control eyes (0.868) was comparable (P ¼ 0.32) to that of GDx ECC (0.855). Sensitivity at 95% specificity was 63.2% for average RNFL thickness of SDOCT and 48.1% for the average RNFL measurement of GDx ECC. LRs of outside normal limits category of SDOCT parameters ranged between 5.6 and 7.7 while the same of GDx ECC parameters ranged between 3.1 and 3.7. LRs of within normal limits category of SDOCT parameters ranged between 0.18 and 0.24 while the same of GDx ECC parameters ranged between 0.20 and 0.32. Conclusion Though AUCs and sensitivities at fixed specificities were comparable between the RNFL parameters of SDOCT and GDx ECC in diagnosing glaucoma, LRs indicated that the RNFL parameters of SDOCT were better in 'ruling in' glaucoma.

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Section: Discussioncontrasting

confidence: 44%

Section: Introductionmentioning

confidence: 99%

Retinal nerve fiber layer evaluation of spectral domain optical coherence tomograph and scanning laser polarimeter to diagnose glaucoma

Rao

Yadav

Addepalli

et al. 2014

Eye

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“…These protocols have been explained earlier. 11 All patients had both protocols performed on the same day.…”

Section: Methodsmentioning

confidence: 99%

“…These have been explained previously. 10,11 GLV measures the average amount of GCC loss over the entire GCC map. It is calculated from the fractional deviation map, which is the map showing the percentage of GCC thickness decreases at each pixel location compared with the expected or normal value at each pixel determined by the instrument's built-in normative database.…”

Section: Gcc Scanmentioning

confidence: 99%

“…SD-OCT by its ability to measure individual layers of the retina may capture these changes in the macula, and a few recent studies with SD-OCT, in fact, have shown that the macular inner retinal (MIR) thickness measurements, which consists of the innermost 3 layers of the retina, namely the nerve fiber layer, ganglion cell layer, and the inner plexiform layer, were as good as the RNFL measurements in detecting glaucoma. [10][11][12][13][14] These studies, however, included glaucoma patients with all severities of visual field damage that might have biased the results, as the estimates of diagnostic accuracy are known to improve with the severity of disease. [15][16][17] In clinical practice, the challenge is to diagnose glaucoma in early stages and there is limited literature on the diagnostic ability of SD-OCT in early glaucoma.…”

Section: Introductionmentioning

confidence: 99%

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Retinal nerve fiber layer and macular inner retina measurements by spectral domain optical coherence tomograph in Indian eyes with early glaucoma

Rao

Jonnadula

Addepalli

et al. 2011

Eye

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Purpose To compare the diagnostic abilities of peripapillary retinal nerve fiber layer (RNFL) and macular inner retina (MIR) measurements by spectral domain optical coherence tomography (SD-OCT) in Indian eyes early glaucoma. Methods In an observational, cross-sectional study, 125 eyes of 64 normal subjects and 91 eyes of 59 early glaucoma patients underwent RNFL and MIR imaging with SD-OCT. Glaucomatous eyes had characteristic optic nerve and RNFL abnormalities and correlating visual field defects and a mean deviation of better than or equal to -6 dB on standard automated perimetry. Areas under the receiver operating characteristic curves (AUC), sensitivities at a fixed specificity and likelihood ratios (LRs) were estimated for all RNFL and MIR parameters. Results The AUCs for the RNFL parameters ranged from 0.537 for the temporal quadrant thickness to 0.821 for the inferior quadrant RNFL thickness. AUCs for the MIR parameters ranged from 0.603 for the superior minus inferior MIR thickness average to 0.908 for ganglion cell complex focal loss volume (GCC-FLV). AUC for the best MIR parameter (GCC-FLV) was significantly better (Po0.001) than that of the best RNFL parameter (inferior quadrant thickness). The sensitivities of these parameters at high specificity of 95%, however, were comparable (52.7% vs 58.2%). Evaluation of the LRs showed that outside normal limits results of most of the RNFL and MIR parameters were associated with large effects on the post-test probability of disease. Conclusion MIR parameters with RTVue SD-OCT were as good as the RNFL parameters to detect early glaucoma.

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Structure-Function Relationship in Glaucoma Using Spectral-Domain Optical Coherence Tomography

Rao¹,

Zangwill²,

Weinreb³

et al. 2011

Arch Ophthalmol

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Comparison of Different Spectral Domain Optical Coherence Tomography Scanning Areas for Glaucoma Diagnosis

Cited by 169 publications

References 32 publications

Retinal nerve fiber layer evaluation of spectral domain optical coherence tomograph and scanning laser polarimeter to diagnose glaucoma

Retinal nerve fiber layer evaluation of spectral domain optical coherence tomograph and scanning laser polarimeter to diagnose glaucoma

Retinal nerve fiber layer and macular inner retina measurements by spectral domain optical coherence tomograph in Indian eyes with early glaucoma

Structure-Function Relationship in Glaucoma Using Spectral-Domain Optical Coherence Tomography

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