1. Pascolini D, Mariotti SP. Global estimates of visual impairment: 2010. Br J Ophthalmol 2012;96:614-618.
2. Flaxman SR, Bourne RR, Resnikoff S, Ackland P, Braithwaite T, Cicinelli MV, et al.; Vision Loss Expert Group of the Global Burden of Disease Study. Global causes of blindness and distance vision impairment 1990- 2020: A systematic review and meta-analysis. Lancet Glob Health 2017;5:e1221–e1234.
3. Doozandeh A, Yazdani S. Neuroprotection in glaucoma. J Ophthalmic Vis Res 2016;11:209-220.
4. Tham YC, Li X, Wong TY, Quigley HA, Aung T, Cheng CY. Global prevalence of glaucoma and projections of glaucoma burden through 2040: A systematic review and meta-analysis. Ophthalmology 2014;121:2081-2090.
5. Quigley HA, Katz J, Derick RJ, Gilbert D, Sommer A. An evaluation of optic disc and nerve fiber layer examinations in monitoring progression of early glaucoma damage. Ophthalmology 1992;99:19-28.
6. Doozandeh A, Yazdani S, Pakravan M, Ghasemi Z, Hassanpour K, Hatami M, et al. Risk of missed diagnosis of primary open-angle glaucoma by eye care providers. J Curr Ophthalmol 2023;34:404-408.
7. Wong EY, Keeffe JE, Rait JL, Vu HT, Le A, McCarty PhD C, et al. Detection of undiagnosed glaucoma by eye health professionals. Ophthalmology 2004;111:1508-1514.
8. Hennis A, Wu SY, Nemesure B, Honkanen R, Leske MC; Barbados Eye Studies Group. Awareness of incident openangle glaucoma in a population study: The Barbados Eye Studies. Ophthalmology 2007;114:1816-1821.
9. Davis BM, Crawley L, Pahlitzsch M, Javaid F, Cordeiro MF. Glaucoma: The retina and beyond. Acta Neuropathol 2016;132:807-826.
10. Nouri-Mahdavi K, Hoffman D, Tannenbaum DP, Law SK, Caprioli J. Identifying early glaucoma with optical coherence tomography. Am J Ophthalmol 2004;137:228-235.
11. Hood DC. Improving our understanding, and detection, of glaucomatous damage: An approach based upon optical coherence tomography (OCT). Prog Retin Eye Res 2017;57:46-75.
12. Muhammad H, Fuchs TJ, De Cuir N, De Moraes CG, Blumberg DM, Liebmann JM, et al. Hybrid deep learning on single wide-field optical coherence tomography scans accurately classifies glaucoma suspects. J Glaucoma 2017;26:1086-1094.
13. Shin Y, Cho H, Jeong HC, Seong M, Choi JW, Lee WJ. Deep learning-based diagnosis of glaucoma using widefield optical coherence tomography images. J Glaucoma 2021;30:803-812.
14. Weinreb RN, Aung T, Medeiros FA. The pathophysiology and treatment of glaucoma: A review. JAMA 2014;311:1901-1911.
15. Bowd C, Zangwill LM, Weinreb RN, Medeiros FA, Belghith A. Estimating optical coherence tomography structural measurement floors to improve detection of progression in advanced glaucoma. Am J Ophthalmol 2017;175:37-44.
16. Asaoka R, Murata H, Hirasawa K, Fujino Y, Matsuura M, Miki A, et al. Using deep learning and transfer learning to accurately diagnose early-onset glaucoma from macular optical coherence tomography images. Am J Ophthalmol 2019;198:136-145.
17. Kansal V, Armstrong JJ, Pintwala R, Hutnik C. Optical coherence tomography for glaucoma diagnosis: An evidence based meta-analysis. PLoS One 2018;13:e0190621.
18. Hutton B, Salanti G, Caldwell DM, Chaimani A, Schmid CH, Cameron C, et al. The PRISMA extension statement for reporting of systematic reviews incorporating network meta-analyses of health care interventions: Checklist and explanations. Ann Intern Med 2015;162:777-784.
19. Liberati A, Altman DG, Tetzlaff J, Mulrow C, Gøtzsche PC, Ioannidis JP, et al. The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate health care interventions: Explanation and elaboration. J Clin Epidemiol 2009;62:e1-34.
20. Anderson DR, Patella VM. Automated static perimetry. 2nd ed. St. Louis: Mosby; 1990. pp. 121-190.
21. Whiting PF, Rutjes AW, Westwood ME, Mallett S, Deeks JJ, Reitsma JB, et al.; QUADAS-2 Group. QUADAS-2: A revised tool for the quality assessment of diagnostic accuracy studies. Ann Intern Med 2011;155:529-536.
22. Abrol S, Gupta S, Naik M, Agarwal S. Can we corroborate peripapillary RNFL analysis with macular GCIPL analysis? Our 2-year experience at a single-centre tertiary healthcare hospital using two OCT machines and a review of literature. Clin Ophthalmol 2020;14:3763-3774.
23. Aquino LG, Aquino NM. Evaluation of macular ganglion cell layer thickness vs peripapillary retinal nerve fiber layer thickness for glaucoma detection using spectral-domain optical coherence tomography in a tertiary Philippine hospital. J Curr Glaucoma Pract 2020;14:50-56.
24. Aydogan T, Akçay Bİ, Kardeş E, Ergin A. Evaluation of spectral domain optical coherence tomography parameters in ocular hypertension, preperimetric, and early glaucoma. Indian J Ophthalmol 2017;65:1143-1150.
25. Bak E, Park KH. Evaluation of University of North Carolina OCT Index for diagnosis of early glaucoma. Ophthalmol Glaucoma 2022;5:490-497.
26. Choe S, Jang M, Kim YK, Park KH, Jeoung JW. Clinical usefulness of layer-by-layer deviation maps of Spectralis OCT: Comparison with Cirrus OCT. Br J Ophthalmol 2023;107:1645-1651.
27. Deshpande G, Gupta R, Bawankule P, Raje D, Chakarborty M. Structural evaluation of preperimetric and perimetric glaucoma. Indian J Ophthalmol 2019;67:1843-1849.
28. Deshpande GA, Gupta R, Bawankule P, Raje D, Chakraborty M. Evaluation of ganglion cell-inner plexiform layer thickness in the diagnosis of preperimetric glaucoma and comparison to retinal nerve fiber layer. Indian J Ophthalmol 2021;69:1113-1119.
29. Garas A, Vargha P, Holló G. Diagnostic accuracy of nerve fibre layer, macular thickness and optic disc measurements made with the RTVue-100 optical coherence tomograph to detect glaucoma. Eye 2011;25:57-65.
30. Gmeiner JM, Schrems WA, Mardin CY, Laemmer R, Kruse FE, Schrems-Hoesl LM. Comparison of Bruch’s membrane opening minimum rim width and peripapillary retinal nerve fiber layer thickness in early glaucoma assessment. Invest Ophthalmol Vis Sci 2016;57:OCT575–OCT584.
31. Gracitelli CP, Moreno PA, Leite MT, Prata TS. Identification of the most accurate spectral-domain optical coherence tomography parameters in eyes with early high-tension and low-tension glaucoma. J Glaucoma 2016;25:854-859.
32. Lee WJ, Na KI, Kim YK, Jeoung JW, Park KH. Diagnostic ability of wide-field retinal nerve fiber layer maps using swept-source optical coherence tomography for detection of preperimetric and early perimetric glaucoma. J Glaucoma 2017;26:577-585.
33. Li S, Wang X, Li S, Wu G, Wang N. Evaluation of optic nerve head and retinal nerve fiber layer in early and advance glaucoma using frequency-domain optical coherence tomography. Graefes Arch Clin Exp Ophthalmol 2010;248:429-434.
34. Lisboa R, Paranhos A Jr, Weinreb RN, Zangwill LM, Leite MT, Medeiros FA. Comparison of different spectral domain OCT scanning protocols for diagnosing preperimetric glaucoma. Invest Ophthalmol Vis Sci 2013;54:3417-3425.
35. Moreno PA, Konno B, Lima VC, Castro DP, Castro LC, Leite MT, et al. Spectral-domain optical coherence tomography for early glaucoma assessment: Analysis of macular ganglion cell complex versus peripapillary retinal nerve fiber layer. Can J Ophthalmol 2011;46:543-547.
36. Rao HL, Addepalli UK, Chaudhary S, Kumbar T, Senthil S, Choudhari NS, et al. Ability of different scanning protocols of spectral domain optical coherence tomography to diagnose preperimetric glaucoma. Invest Ophthalmol Vis Sci 2013;54:7252-7257.
37. Stagg BC, Medeiros FA. A Comparison of OCT Parameters in identifying glaucoma damage in eyes suspected of having glaucoma. Ophthalmol Glaucoma 2020;3:90-96.
38. Tai TY, Ko YC, Chang YF, Liu CJ, Chen MJ. Diagnostic utility of neuroretinal rim thickness, measured in clockhour sectors with HD optical coherence tomography, in preperimetric glaucoma. J Chin Med Assoc 2020;83:307-312.
39. Yusof AM, Othman O, Tang SF, Hassan MR, Din NM. Diagnostic evaluation of optical coherence tomography parameters in normal, preperimetric and perimetric glaucoma patients. Int J Ophthalmol 2022;15:1782-1790.
40. Kanamori A, Naka M, Akashi A, Fujihara M, Yamada Y, Nakamura M. Cluster analyses of grid-pattern display in macular parameters using optical coherence tomography for glaucoma diagnosis. Invest Ophthalmol Vis Sci 2013;54:6401-6408.
41. Begum VU, Addepalli UK, Yadav RK, Shankar K, Senthil S, Garudadri CS, et al. Ganglion cell-inner plexiform layer thickness of high definition optical coherence tomography in perimetric and preperimetric glaucoma. Invest Ophthalmol Vis Sci 2014;55:4768-4775.
42. Arintawati P, Sone T, Akita T, Tanaka J, Kiuchi Y. The applicability of ganglion cell complex parameters determined from SD-OCT images to detect glaucomatous eyes. J Glaucoma 2013;22:713-718.
43. Yamada H, Hangai M, Nakano N, Takayama K, Kimura Y, Miyake M, et al. Asymmetry analysis of macular inner retinal layers for glaucoma diagnosis. Am J Ophthalmol 2014;158:1318-1329.e3.
44. Kim HJ, Park KH, Kim YK, Jeoung JW. Evaluation of layerby- layer segmented ganglion cell complex thickness for detecting early glaucoma according to different macular grids. J Glaucoma 2017;26:712-717.
45. Sung MS, Yoon JH, Park SW. Diagnostic validity of macular ganglion cell-inner plexiform layer thickness deviation map algorithm using cirrus HD-OCT in preperimetric and early glaucoma. J Glaucoma 2014;23:e144–e151.
46. Sullivan-Mee M, Ruegg CC, Pensyl D, Halverson K, Qualls C. Diagnostic precision of retinal nerve fiber layer and macular thickness asymmetry parameters for identifying early primary open-angle glaucoma. Am J Ophthalmol 2013;156:567-577.e1.
47. Nakatani Y, Higashide T, Ohkubo S, Takeda H, Sugiyama K. Evaluation of macular thickness and peripapillary retinal nerve fiber layer thickness for detection of early glaucoma using spectral domain optical coherence tomography. J Glaucoma 2011;20:252-259.
48. Chua J, Tan B, Ke M, Schwarzhans F, Vass C, Wong D, et al. Diagnostic ability of individual macular layers by spectraldomain OCT in different stages of glaucoma. Ophthalmol Glaucoma 2020;3:314-326.
49. Akashi A, Kanamori A, Nakamura M, Fujihara M, Yamada Y, Negi A. Comparative assessment for the ability of Cirrus, RTVue, and 3D-OCT to diagnose glaucoma. Invest Ophthalmol Vis Sci 2013;54:4478-4484.
50. Lisboa R, Leite MT, Zangwill LM, Tafreshi A, Weinreb RN, Medeiros FA. Diagnosing preperimetric glaucoma with spectral domain optical coherence tomography. Ophthalmology 2012;119:2261-2269.
51. Lee KM, Lee EJ, Kim TW, Kim H. Comparison of the abilities of SD-OCT and SS-OCT in evaluating the thickness of the macular inner retinal layer for glaucoma diagnosis. PLoS One 2016;11:e0147964.
52. Sung KR, Na JH, Lee Y. Glaucoma diagnostic capabilities of optic nerve head parameters as determined by Cirrus HD optical coherence tomography. J Glaucoma 2012;21:498-504.
53. Wu H, De Boer JF, Chen TC. Diagnostic capability of spectral-domain optical coherence tomography for glaucoma. Am J Ophthalmol 2012;153:815-826.e2.
54. Leung CK, Cheung CY, Weinreb RN, Qiu Q, Liu S, Li H, Xu G, Fan N, Huang L, Pang CP, Lam DS. Retinal nerve fiber layer imaging with spectral-domain optical coherence tomography: A variability and diagnostic performance study. Ophthalmology 2009;116:1257-63, 1263.e1-2.
55. Rao HL, Zangwill LM, Weinreb RN, Sample PA, Alencar LM, Medeiros FA. Comparison of different spectral domain optical coherence tomography scanning areas for glaucoma diagnosis. Ophthalmology 2010;117:1692-9.e1.
56. Mahmoudinezhad G, Mohammadzadeh V, Martinyan J, Edalati K, Zhou B, Yalzadeh D, et al. Comparison of ganglion cell layer and ganglion cell/inner plexiform layer measures for detection of early glaucoma. Ophthalmol Glaucoma 2023;6:58-67.
57. Hwang YH, Ahn SI, Ko SJ. Diagnostic ability of macular ganglion cell asymmetry for glaucoma. Clin Exp Ophthalmol 2015;43:720-726.
58. Xu X, Xiao H, Guo X, Chen X, Hao L, Luo J, et al. Diagnostic ability of macular ganglion cell-inner plexiform layer thickness in glaucoma suspects. Medicine 2017;96:e9182.
59. Kim YK, Yoo BW, Kim HC, Park KH. Automated detection of hemifield difference across horizontal raphe on ganglion cell–inner plexiform layer thickness map. Ophthalmology 2015;122:2252-2260.
60. Kim HJ, Lee SY, Park KH, Kim DM, Jeoung JW. Glaucoma diagnostic ability of layer-by-layer segmented ganglion cell complex by spectral-domain optical coherence tomography. Invest Ophthalmol Vis Sci 2016;57:4799-4805.
61. Yang Z, Tatham AJ, Zangwill LM, Weinreb RN, Zhang C, Medeiros FA. Diagnostic ability of retinal nerve fiber layer imaging by swept-source optical coherence tomography in glaucoma. Am J Ophthalmol 2015;159:193-201.
62. Dagdelen K, Dirican E. The assessment of structural changes on optic nerve head and macula in primary open angle glaucoma and ocular hypertension. Int J Ophthalmol 2018;11:1631-1637.
63. Nouri-Mahdavi K, Nowroozizadeh S, Nassiri N, Cirineo N, Knipping S, Giaconi J, et al. Macular ganglion cell/inner plexiform layer measurements by spectral domain optical coherence tomography for detection of early glaucoma and comparison to retinal nerve fiber layer measurements. Am J Ophthalmol 2013;156:1297-307.e2.
64. Abera A, W Gessesse G. Diagnostic performance of optical coherence tomography macular ganglion cell inner plexiform layer and retinal nerve fiber layer thickness in glaucoma suspect and early glaucoma patients at St. Paul’s hospital millennium medical college, Addis Ababa, Ethiopia. PLoS One 2023;18:e0263959.
65. Yadav VK, Rana J, Singh A, Singh KJ, Kumar S, Singh S. Evaluation of ganglion cell-inner plexiform layer thickness in the diagnosis of pre-perimetric glaucoma and comparison to retinal nerve fiber layers. Indian J Ophthalmol 2024;72:357-362.
66. Wu CW, Chang YC, Chen HY. Early detection of primary open angle, angle closure, and normal tension glaucoma in an Asian population using optical coherence tomography. J Glaucoma 2023;32:195-203.
67. Zangalli CS, Jammal AA, Reis AS, Ayub G, Diniz-Filho A, Paranhos A Jr, et al. Minimum rim width and peripapillary retinal nerve fiber layer thickness for diagnosing early to moderate glaucoma. J Glaucoma 2023;32:526-532.
68. White SJ, Phua QS, Lu L, Yaxley KL, McInnes MD, To MS. Heterogeneity in systematic reviews of medical imaging diagnostic test accuracy studies: A systematic review. JAMA Netw Open 2024;7:e240649.
69. Weinreb RN, Khaw PT. Primary open-angle glaucoma. Lancet 2004;363:1711-1720.
70. Heijl A, Åsman P. Pitfalls of automated perimetry in glaucoma diagnosis. Curr Opin Ophthalmol 1995;6:46-51.
71. Bickler-Bluth M, Trick GL, Kolker AE, Cooper DG. Assessing the utility of reliability indices for automated visual fields. Testing ocular hypertensives. Ophthalmology 1989;96:616-619.
72. Katz J, Quigley HA, Sommer A. Repeatability of the Glaucoma Hemifield Test in automated perimetry. Invest Ophthalmol Vis Sci 1995;36:1658-1664.
73. Spry PG, Johnson CA, McKendrick AM, Turpin A. Measurement error of visual field tests in glaucoma. Br J Ophthalmol 2003;87:107-112.
74. Sommer A, Katz J, Quigley HA, Miller NR, Robin AL, Richter RC, et al. Clinically detectable nerve fiber atrophy precedes the onset of glaucomatous field loss. Arch Ophthalmol 1991;109:77-83.
75. Oddone F, Lucenteforte E, Michelessi M, Rizzo S, Donati S, Parravano M, et al. Macular versus retinal nerve fiber layer parameters for diagnosing manifest glaucoma: A systematic review of diagnostic accuracy studies. Ophthalmology 2016;123:939-949.
76. Lee WJ, Na KI, Ha A, Kim YK, Jeoung JW, Park KH. Combined use of retinal nerve Fiber layer and ganglion cell–inner plexiform layer event-based progression analysis. Am J Ophthalmol 2018;196:65-71.
77. Kim H, Park HM, Jeong HC, Moon SY, Cho H, Lim HW, et al. Wide-field optical coherence tomography deviation map for early glaucoma detection. Br J Ophthalmol 2023;107:49-55.
78. Leung CK. Retinal nerve fiber layer (RNFL) optical texture analysis (ROTA) for evaluation of RNFL abnormalities in glaucoma. Invest Ophthalmol Vis Sci 2018;59:3497.
79. Leung CK, Guo PY, Lam AK. Retinal nerve fiber layer optical texture analysis: Involvement of the papillomacular bundle and papillofoveal bundle in early glaucoma. Ophthalmology 2022;129:1043-1055.
80. Su CK, Guo PY, Chan PP, Lam AK, Leung CK. Retinal nerve fiber layer optical texture analysis: Detecting axonal fiber bundle defects in patients with ocular hypertension. Ophthalmology 2023;130:1080-1089.
81. Lisboa R, Mansouri K, Zangwill LM, Weinreb RN, Medeiros FA. Likelihood ratios for glaucoma diagnosis using spectral-domain optical coherence tomography. Am J Ophthalmol 2013;156:918-926.e2.
Comments (0)