Ability of Different Scanning Protocols of Spectral Domain Optical Coherence Tomography to Diagnose Preperimetric Glaucoma

Rao, Harsha L.; Addepalli, Uday K.; Chaudhary, Shashikant; Kumbar, Tukaram; Senthil, Sirisha; Choudhari, Nikhil S.; Garudadri, Chandra S.

doi:10.1167/iovs.13-12731

Cited by 42 publications

(48 citation statements)

References 33 publications

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“…Quality of images, which we chose as an additional signalling question because it is known to affect the accuracy of RNFL thickness (Rao 2013), was assessed and used in 99 out of 106 studies. Conflict of interest was of high concern in 24 studies, of unclear concern in 15 studies, and of no concern in 67 studies.…”

Section: Resultsmentioning

confidence: 99%

Optic nerve head and fibre layer imaging for diagnosing glaucoma

Michelessi

Lucenteforte

Oddone

et al. 2015

Cochrane Database of Systematic Reviews

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Section: Resultsmentioning

confidence: 99%

Optic nerve head and fibre layer imaging for diagnosing glaucoma

Michelessi

Lucenteforte

Oddone

et al. 2015

Cochrane Database of Systematic Reviews

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“…Multiple studies have evaluated the bias introduced in such situations. 6,30,35 Therefore, caution should be exercised when interpreting estimates of diagnostic ability provided in our study. These estimates should not be extrapolated to the situation of detecting disease in glaucoma suspects.…”

Section: Discussionmentioning

confidence: 95%

“…With the advent of spectral domain optical coherence tomography (SD-OCT), scanning the inner layers of the retina at the macula (RNFL, ganglion cell layer, and inner plexiform layer) has provided new insights into the structural damage in glaucoma and has emerged as a useful modality to diagnose glaucoma. [2][3][4][5][6][7] Cirrus high-definition OCT (HD-OCT) is one such SD-OCT device that has an algorithm called Ganglion Cell Analysis (GCA) to measure and analyze the inner retinal thickness parameters at the macula. The GCA segments out the macular RNFL layer from the ganglion cell-inner plexiform layer (GCIPL) and measures the GCIPL thicknesses separately.…”

mentioning

confidence: 99%

Ganglion Cell-Inner Plexiform Layer Thickness of High Definition Optical Coherence Tomography in Perimetric and Preperimetric Glaucoma

Begum

Addepalli

Yadav

et al. 2014

Invest. Ophthalmol. Vis. Sci.

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“…[12–14] Some of these features of GON are: focal or diffuse neuroretinal rim thinning, RNFL defects, disc hemorrhage, and beta-zone parapapillary atrophy (PPA), [15] although clinicians do not always agree regarding the presence or magnitude of these findings. Objective imaging technologies have thus been developed to circumvent these limitations; among them, spectral domain optical coherence tomography (sdOCT) has gained large acceptance among ophthalmologists given its excellent reproducibility [16] and diagnostic performance [17–19]. The potential utility of sdOCT as an objective tool to enhance glaucoma diagnosis and minimize glaucoma-related visual morbidity was recently tested, suggesting a promising role in community based glaucoma screening.…”

Section: Introductionmentioning

confidence: 99%

The Association Between Clinical Features Seen on Fundus Photographs and Glaucomatous Damage Detected on Visual Fields and Optical Coherence Tomography Scans

Alhadeff

Moraes

Chen

et al. 2017

Journal of Glaucoma

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Purpose To classify the appearance of the optic disc seen on fundus photographs of healthy subjects and patients with or suspected glaucoma whose diagnosis was based upon visual fields (VF) and spectral domain optical coherence tomography (sdOCT) results. Patients and Methods One eye of 100 patients with or suspected glaucoma and 62 healthy subjects were prospectively tested with 24-2 and 10-2 VF and macular and disc sdOCT cube scans. All eyes with or suspected glaucoma had a 24-2 mean deviation (MD) better than −6.0 dB and an abnormal appearing disc on stereophotographs. The retinal ganglion cell plus inner plexiform layer (RGC+) from the macular scans and the retinal nerve fiber layer (RNFL) from the macular and disc scans were segmented and converted to probabilities plots. An eye was considered “glaucoma” if the sdOCT probability plots showed an abnormality in a region that corresponded to a defect seen on the 24-2 and/or 10-2 VF total deviation plot. Similarly, an eye was considered “suspect” only if both the sdOCT and VF plots were normal. Healthy subjects (normal VFs and sdOCT) were classified as “controls” and used as reference for comparisons. Glaucoma specialists reviewed the stereophotographs and classified eyes based on the presence of signs suggestive of glaucomatous optic neuropathy (GON). Results The pattern of clinical signs of GON seen on stereophotographs was statistically different between glaucoma (P<0.001) and suspects (P<0.001) vs. controls and explained up to 68% of the total variance of the diagnosis based upon sdOCT and VFs. Vertical cup-to-disc (VCDR)>0.6, focal neuroretinal rim thinning, focal RNFL loss, and violation of the ISNT rule had the best performance to differentiate glaucoma and suspects from controls. Compared to the suspect group, glaucoma eyes (abnormal sdOCT and VF tests) were more likely to have VCDR>0.6 (92 vs. 69%, P=0.003), diffuse rim (53 vs. 9%, P<0.001) and RNFL (61 vs. 26%, P<0.001) thinning, and beta-zone parapapillary atrophy (68 vs. 17%, P<0.001). Conclusions Focal and diffuse signs of glaucoma damage seen on stereophotographs often match damage shown on VFs and sdOCT. In addition, damage shown on VFs and sdOCT is often missed during clinical evaluation. Longitudinal studies ought to differentiate focal signs of glaucoma damage seen on stereophotography from false-positives or very early loss.

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Ability of Different Scanning Protocols of Spectral Domain Optical Coherence Tomography to Diagnose Preperimetric Glaucoma

Abstract: Diagnostic abilities of ONH, RNFL, and GCC parameters of SDOCT to differentiate preperimetric glaucoma eyes from control eyes with large physiologic cupping were only moderate.

Cited by 42 publications

References 33 publications

Optic nerve head and fibre layer imaging for diagnosing glaucoma

Optic nerve head and fibre layer imaging for diagnosing glaucoma

Ganglion Cell-Inner Plexiform Layer Thickness of High Definition Optical Coherence Tomography in Perimetric and Preperimetric Glaucoma

The Association Between Clinical Features Seen on Fundus Photographs and Glaucomatous Damage Detected on Visual Fields and Optical Coherence Tomography Scans

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