Evaluation of ganglion cell-inner plexiform layer thickness in the diagnosis of preperimetric glaucoma and comparison to retinal nerve fiber layer
Purpose: The aim of this study was to evaluate the diagnostic ability of optic nerve head (ONH), RNFL, and GC-IPL parameters in differentiating eyes with PPG from normals. Methods: This was a retrospective, cross-sectional, observational study. We studied 73 eyes of 41 patients and compared them to...
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Wolters Kluwer Medknow Publications
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doaj-5bbb99d1702c4797b32e5d406316f4082021-05-05T11:15:37ZengWolters Kluwer Medknow PublicationsIndian Journal of Ophthalmology0301-47381998-36892021-01-016951113111910.4103/ijo.IJO_965_20Evaluation of ganglion cell-inner plexiform layer thickness in the diagnosis of preperimetric glaucoma and comparison to retinal nerve fiber layerGunjan A DeshpandeRicha GuptaPrashant BawankuleDhananjay RajeMoumita ChakrabortyPurpose: The aim of this study was to evaluate the diagnostic ability of optic nerve head (ONH), RNFL, and GC-IPL parameters in differentiating eyes with PPG from normals. Methods: This was a retrospective, cross-sectional, observational study. We studied 73 eyes of 41 patients and compared them to 65 eyes of 34 normal persons. Each patient underwent detailed ocular examination, standard automated perimetry, GC-IPL, ONH, and RNFL analysis. PPG was defined as eyes with normal visual field results and one or more localized RNFL defects that were associated with a glaucomatous disc appearance (e.g., notching or thinning of neuroretinal rim) and IOP more than 21 mm Hg. Diagnostic abilities of GC-IPL, ONH, and RNFL parameters were computed using area under receiver-operating curve (AUROC), sensitivity and specificity, and likelihood ratios (LRs). Results: All GC-IPL parameters differed significantly from normal. The ONH, RNFL, and GC-IPL parameters with best area under curves (AUCs) to differentiate PPG were vertical cup to disc ratio (0.76), inferior quadrant RNFL thickness (0.79), and inferotemporal quadrant GC-IPL thickness (0.73), respectively. Similarly, best LRs were found for clock hour 5, 6, and 12 thicknesses among RNFL; inferior sector and inferotemporal sector thicknesses among GC-IPL parameters. Conclusion: Diagnostic abilities of GC-IPL parameters were comparable to RNFL parameters in differentiating PPG patients from normals. The likelihood of ruling in a disease was greater with GC-IPL parameters.http://www.ijo.in/article.asp?issn=0301-4738;year=2021;volume=69;issue=5;spage=1113;epage=1119;aulast=Deshpandeganglion cell-inner plexiform layerpreperimetric glaucomaretinal nerve fiber layer |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Gunjan A Deshpande Richa Gupta Prashant Bawankule Dhananjay Raje Moumita Chakraborty |
spellingShingle |
Gunjan A Deshpande Richa Gupta Prashant Bawankule Dhananjay Raje Moumita Chakraborty Evaluation of ganglion cell-inner plexiform layer thickness in the diagnosis of preperimetric glaucoma and comparison to retinal nerve fiber layer Indian Journal of Ophthalmology ganglion cell-inner plexiform layer preperimetric glaucoma retinal nerve fiber layer |
author_facet |
Gunjan A Deshpande Richa Gupta Prashant Bawankule Dhananjay Raje Moumita Chakraborty |
author_sort |
Gunjan A Deshpande |
title |
Evaluation of ganglion cell-inner plexiform layer thickness in the diagnosis of preperimetric glaucoma and comparison to retinal nerve fiber layer |
title_short |
Evaluation of ganglion cell-inner plexiform layer thickness in the diagnosis of preperimetric glaucoma and comparison to retinal nerve fiber layer |
title_full |
Evaluation of ganglion cell-inner plexiform layer thickness in the diagnosis of preperimetric glaucoma and comparison to retinal nerve fiber layer |
title_fullStr |
Evaluation of ganglion cell-inner plexiform layer thickness in the diagnosis of preperimetric glaucoma and comparison to retinal nerve fiber layer |
title_full_unstemmed |
Evaluation of ganglion cell-inner plexiform layer thickness in the diagnosis of preperimetric glaucoma and comparison to retinal nerve fiber layer |
title_sort |
evaluation of ganglion cell-inner plexiform layer thickness in the diagnosis of preperimetric glaucoma and comparison to retinal nerve fiber layer |
publisher |
Wolters Kluwer Medknow Publications |
series |
Indian Journal of Ophthalmology |
issn |
0301-4738 1998-3689 |
publishDate |
2021-01-01 |
description |
Purpose: The aim of this study was to evaluate the diagnostic ability of optic nerve head (ONH), RNFL, and GC-IPL parameters in differentiating eyes with PPG from normals. Methods: This was a retrospective, cross-sectional, observational study. We studied 73 eyes of 41 patients and compared them to 65 eyes of 34 normal persons. Each patient underwent detailed ocular examination, standard automated perimetry, GC-IPL, ONH, and RNFL analysis. PPG was defined as eyes with normal visual field results and one or more localized RNFL defects that were associated with a glaucomatous disc appearance (e.g., notching or thinning of neuroretinal rim) and IOP more than 21 mm Hg. Diagnostic abilities of GC-IPL, ONH, and RNFL parameters were computed using area under receiver-operating curve (AUROC), sensitivity and specificity, and likelihood ratios (LRs). Results: All GC-IPL parameters differed significantly from normal. The ONH, RNFL, and GC-IPL parameters with best area under curves (AUCs) to differentiate PPG were vertical cup to disc ratio (0.76), inferior quadrant RNFL thickness (0.79), and inferotemporal quadrant GC-IPL thickness (0.73), respectively. Similarly, best LRs were found for clock hour 5, 6, and 12 thicknesses among RNFL; inferior sector and inferotemporal sector thicknesses among GC-IPL parameters. Conclusion: Diagnostic abilities of GC-IPL parameters were comparable to RNFL parameters in differentiating PPG patients from normals. The likelihood of ruling in a disease was greater with GC-IPL parameters. |
topic |
ganglion cell-inner plexiform layer preperimetric glaucoma retinal nerve fiber layer |
url |
http://www.ijo.in/article.asp?issn=0301-4738;year=2021;volume=69;issue=5;spage=1113;epage=1119;aulast=Deshpande |
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