Topographic profiles of retinal nerve fiber layer defects affect the diagnostic performance of macular scans in preperimetric glaucoma

Investigative Ophthalmology and Visual Science

Volumn 55, Issue 4, 2014, Pages 2079-2087

  Kim, Mi Jeung ^a,b   Jeoung, Jin Wook ^a,b   Park, Ki Ho ^a,b   Choi, Yun Jeong ^b   Kim, Dong Myung ^a,b  

^a Seoul National University Hospital   (South Korea)

^b Seoul National University College of Medicine   (South Korea)

Author keywords

Ganglion cell inner plexiform layer; Preperimetric glaucoma; Retinal nerve fiber layer defect; Topographic profile

Indexed keywords

ADULT; AGED; ANGULAR WIDTH; ARTICLE; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; DIAGNOSTIC TEST ACCURACY STUDY; EYE DISEASE; EYE EXAMINATION; FEMALE; GEOMETRY; HUMAN; INNER DIRECTIONAL ANGLE; MACULAR GANGLION CELL INNER PLEXIFORM LAYER THICKNESS; MAJOR CLINICAL STUDY; MALE; OPTIC NERVE; OPTICAL COHERENCE TOMOGRAPHY; PREPERIMETRIC GLAUCOMA; PRIORITY JOURNAL; RECEIVER OPERATING CHARACTERISTIC; RETINAL NERVE FIBER LAYER DEFECT; RETINAL NERVE FIBER LAYER THICKNESS; SENSITIVITY AND SPECIFICITY; VISUAL SYSTEM PARAMETERS;

GANGLION CELL-INNER PLEXIFORM LAYER; PREPERIMETRIC GLAUCOMA; RETINAL NERVE FIBER LAYER DEFECT; TOPOGRAPHIC PROFILE;

ADULT; AGED; AGED, 80 AND OVER; ALGORITHMS; FEMALE; FOLLOW-UP STUDIES; GLAUCOMA; HUMANS; MACULA LUTEA; MALE; MIDDLE AGED; NERVE FIBERS; REPRODUCIBILITY OF RESULTS; RETINAL GANGLION CELLS; ROC CURVE; TOMOGRAPHY, OPTICAL COHERENCE;

EID: 84898743381     PISSN: 01460404     EISSN: 15525783     Source Type: Journal    
DOI: 10.1167/iovs.13-13506     Document Type: Article

References (33)

1. Quigley HA, Dunkelberger GR, Green WR. Retinal ganglion cell atrophy correlated with automated perimetry in human eyes with glaucoma. Am J Ophthalmol. 1989;107:453-464.
2. Sommer A, Katz J, Quigley HA, et al. Clinically detectable nerve fiber atrophy precedes the onset of glaucomatous field loss. Arch Ophthalmol. 1991;109:77-83.
3. Tuulonen A, Airaksinen PJ. Initial glaucomatous optic disk and retinal nerve fiber layer abnormalities and their progression. Am J Ophthalmol. 1991;111:485-490.
4. Tuulonen A, Lehtola J, Airaksinen PJ. Nerve fiber layer defects with normal visual fields. Do normal optic disc and normal visual field indicate absence of glaucomatous abnormality? Ophthalmology. 1993;100:587-597.
5. Mwanza JC, Oakley JD, Budenz DL, et al. Macular ganglion cellinner plexiform layer: automated detection and thickness reproducibility with spectral domain-optical coherence tomography in glaucoma. Invest Ophthalmol Vis Sci. 2011;52: 8323-8329.
6. Mwanza JC, Durbin MK, Budenz DL, et al. Profile and predictors of normal ganglion cell-inner plexiform layer thickness measured with frequency-domain optical coherence tomography. Invest Ophthalmol Vis Sci. 2011;52:7872-7879.
7. Mwanza JC, Durbin MK, Budenz DL, et al. Glaucoma diagnostic accuracy of ganglion cell-inner plexiform layer thickness: comparison with nerve fiber layer and optic nerve head. Ophthalmology. 2012;119:1151-1158.
8. Kotowski J, Folio LS, Wollstein G, et al. Glaucoma discrimination of segmented cirrus spectral domain optical coherence tomography (SD-OCT) macular scans. Br J Ophthalmol. 2012; 96:1420-1425.
9. Na JH, Sung KR, Baek S, et al. Detection of glaucoma progression by assessment of segmented macular thickness data obtained using spectral domain optical coherence tomography. Invest Ophthalmol Vis Sci. 2012;53:3817-3826.
10. Takayama K, Hangai M, Durbin M, et al. A novel method to detect local ganglion cell loss in early glaucoma using spectraldomain optical coherence tomography. Invest Ophthalmol Vis Sci. 2012;53:6904-6913.
11. Nouri-Mahdavi K, Nowroozizadeh S, Nassiri N, 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;156:1297-1307.
12. Hwang YH, Kim YY, Kim HK, et al. Ability of cirrus highdefinition spectral-domain optical coherence tomography clock-hour, deviation, and thickness maps in detecting photographic retinal nerve fiber layer abnormalities. Ophthalmology. 2013;120:1380-1387.
13. Anderson DR, Patella VM. Automated Static Perimetry. 2nd ed. St. Louis, MO: Mosby; 1999:93, 121-136.
14. Hoyt WF, Frisen L, Newman NM. Fundoscopy of nerve fiber layer defects in glaucoma. Invest Ophthalmol. 1973;12:814-829.
15. Hwang JM, Kim TW, Park KH, et al. Correlation between topographic profiles of localized retinal nerve fiber layer defects as determined by optical coherence tomography and red-free fundus photography. J Glaucoma. 2006;15:223-228.
16. Yoo YC, Park KH. Influence of angular width and peripapillary position of localized retinal nerve fiber layer defects on their detection by time-domain optical coherence tomography. Jpn J Ophthalmol. 2011;55:115-122.
17. Savini G, Carbonelli M, Barboni P. Spectral-domain optical coherence tomography for the diagnosis and follow-up of glaucoma. Curr Opin Ophthalmol. 2011;22:115-123.
18. DeLong ER, DeLong DM, Clarke-Pearson DL. Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach. Biometrics. 1988;44:837-845.
19. Arintawati P, Sone T, Akita T, et al. The applicability of ganglion cell complex parameters determined from SD-OCT images to detect glaucomatous eyes. J Glaucoma. 2013;22:713-718.
20. Takagi ST, Kita Y, Yagi F, et al. Macular retinal ganglion cell complex damage in the apparently normal visual field of glaucomatous eyes with hemifield defects. J Glaucoma. 2012; 21:318-325.
21. Rolle T, Briamonte C, Curto D, et al. Ganglion cell complex and retinal nerve fiber layer measured by fourier-domain optical coherence tomography for early detection of structural damage in patients with preperimetric glaucoma. Clin Ophthalmol. 2011;5:961-969.
22. Rao HL, Babu JG, Addepalli UK, et al. Retinal nerve fiber layer and macular inner retina measurements by spectral domain optical coherence tomograph in Indian eyes with early glaucoma. Eye (Lond). 2012;26:133-139.
23. Seong M, Sung KR, Choi EH, et al. Macular and peripapillary retinal nerve fiber layer measurements by spectral domain optical coherence tomography in normal-tension glaucoma. Invest Ophthalmol Vis Sci. 2010;51:1446-1452.
24. Mori S, Hangai M, Sakamoto A, et al. Spectral-domain optical coherence tomography measurement of macular volume for diagnosing glaucoma. J Glaucoma. 2010;19:528-534.
25. Sevim MS, Buttanri B, Acar BT, et al. Ability of fourier-domain optical coherence tomography to detect retinal ganglion cell complex atrophy in glaucoma patients. J Glaucoma. 2013;22: 542-549.
26. Tan O, Chopra V, Lu AT, et al. Detection of macular ganglion cell loss in glaucoma by Fourier-domain optical coherence tomography. Ophthalmology. 2009;116:2305-2314.
27. Chen J, Huang H, Wang M, et al. Fourier domain OCT measurement of macular, macular ganglion cell complex, and peripapillary RNFL thickness in glaucomatous Chinese eyes. Eur J Ophthalmol. 2012;22:972-979.
28. Kotera Y, Hangai M, Hirose F, et al. Three-dimensional imaging of macular inner structures in glaucoma by using spectraldomain optical coherence tomography. Invest Ophthalmol Vis Sci. 2011;52:1412-1421.
29. Lisboa R, Paranhos A Jr, Weinreb RN, et al. Comparison of different spectral domain OCT scanning protocols for diagnosing preperimetric glaucoma. Invest Ophthalmol Vis Sci. 2013;54:3417-3425.
30. Leite MT, Zangwill LM, Weinreb RN, et al. Effect of disease severity on the performance of Cirrus spectral-domain OCT for glaucoma diagnosis. Invest Ophthalmol Vis Sci. 2010;51: 4104-4109.
31. Shin HY, Park HY, Jung KI, et al. Glaucoma diagnostic ability of ganglion cell-inner plexiform layer thickness differs according to the location of visual field loss. Ophthalmology. 2013;17: 578-572.
32. Knight OJ, Girkin CA, Budenz DL, et al. Effect of race, age, and axial length on optic nerve head parameters and retinal nerve fiber layer thickness measured by Cirrus HD-OCT. Arch Ophthalmol. 2012;130:312-318.
33. Alasil T, Wang K, Keane PA, et al. Analysis of normal retinal nerve fiber layer thickness by age, sex, and race using spectral domain optical coherence tomography. J Glaucoma. 2013;22: 532-541.