Abstract
Purpose
To determine whether the weakness of the structure–function relationship could be produced by test variability alone, without implying underlying dissociation between the true rates of structural and functional change.
Methods
Perimetric mean deviation (MD), and rim area (RA) and cup volume (CV) from confocal scanning laser ophthalmoscopy, over six visits, were taken from 166 eyes of 92 participants with high-risk ocular hypertension or suspected/early glaucoma in the Portland Progression Project. Models were created of each measure’s variability. A further model predicted the rate of functional change from the rate of structural change. These were used to generate realistic simulated sequences of both functional and structural data with different standard deviations σ between the underlying rates of change. ‘Observed’ structure–function relationships were calculated. An empirical p-value was derived, equaling the proportion of simulated series for which the ‘observed’ structure–function dissociation was greater than that seen in patient data.
Results
The correlation between the rates of structural (RA) and functional (MD) change was 0.171, consistent with σ < 0.02 dB/yr. Using CV, the correlation was −0.091, consistent with σ < 0.01 dB/yr. By comparison, the models predicted that the standard deviation of the rate of functional change for a healthy eye due to test variability would be 0.18 dB/yr.
Conclusion
Test variability is sufficiently large that realistic patient data can be simulated without requiring a large variability between the underlying rates of structural and functional change. This absence of implied dissociation is a necessary condition for it to be valid to combine structural and functional measures to improve estimates of functional change and/or to reduce perimetric variability.
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References
Anderson D, Patella V (1999) Automated static perimetry. Mosby, St. Louis
Allingham RR, Damji KF, Freedman S, Moroi SE, Shafranov G (2005) Assessment of visual fieldsshields' textbook of glaucoma. Lippincott, Williams & Wilkins, Philadelphia, pp 116–142
Artes P, Iwase A, Ohno Y, Kitazawa Y, Chauhan B (2002) Properties of perimetric threshold estimates from Full Threshold, SITA Standard, and SITA Fast strategies. Invest Ophthalmol Vis Sci 43:2654–2659
Kass MA, Gordon MO, Gao F, Heuer DK, Higginbotham EJ, Johnson CA, Keltner JK, Miller JP, Parrish RK, Wilson MR, for the Ocular Hypertension Treatment Study G (2010) Delaying treatment of ocular hypertension: the Ocular Hypertension Treatment Study. Arch Ophthalmol 128:276–287. doi:10.1001/archophthalmol.2010.20
Chen P, Cady R, Mudumbai R, Ngan R (2010) Continued visual field progression in eyes with prior visual field progression in patients with open-angle glaucoma. J Glaucoma 19:598–603
Gardiner S, Demirel S, Johnson C (2011) Perimetric indices as predictors of future glaucomatous functional change. Optom Vis Sci 88:56–62
Henson D, Chaudry S, Artes P, Faragher E, Ansons A (2000) Response variability in the visual field: comparison of optic neuritis, glaucoma, ocular hypertension, and normal eyes. Invest Ophthalmol Vis Sci 41:417–421
Hood D, Anderson S, Wall M, Kardon R (2007) Structure versus function in glaucoma: an application of a linear model. Invest Ophthalmol Vis Sci 48:3662–3668. doi:10.1167/iovs.06-1401
Garway-Heath D, Caprioli J, Fitzke F, Hitchings R (2000) Scaling the hill of vision: the physiological relationship between light sensitivity and ganglion cell numbers. Invest Ophthalmol Vis Sci 41:1774–1782
Gardiner S, Demirel S (2008) Assessment of patient opinions of different clinical tests used in the management of glaucoma. Ophthalmology 115:2127–2131
Gardiner SK, Johnson CA, Cioffi GA (2005) Evaluation of the structure-function relationship in glaucoma. Invest Ophthalmol Vis Sci 46:3712–3717
Johnson C, Cioffi G, Liebmann J, Sample P, Zangwill L, Weinreb R (2000) The relationship between structural and functional alterations in glaucoma: a review. Semin Ophthalmol 15:221–233
Garway-Heath D, Holder G, Fitzke F, Hitchings R (2002) Relationship between electrophysiological, psychophysical, and anatomical measurements in glaucoma. Invest Ophthalmol Vis Sci 43:2213–2220
Xin D, Greenstein VC, Ritch R, Liebmann JM, De Moraes CGV, Hood DC (2011) A comparison of functional and structural measures for identifying progression of glaucoma. Invest Ophthalmol Vis Sci 52(1):519–526. doi:10.1167/iovs.10-5174
Artes P, Chauhan B (2005) Longitudinal changes in the visual field and optic disc in glaucoma. Prog Retin Eye Res 24:333–354
Jampel HD, Vitale S, Ding Y, Quigley H, Friedman D, Congdon N, Zeimer R (2006) Test-retest variability in structural and functional parameters of glaucoma damage in the glaucoma imaging longitudinal study. J Glaucoma 15:152–157
Shah NN, Bowd C, Medeiros FA, Weinreb RN, Sample PA, Hoffmann EM, Zangwill LM (2006) Combining structural and functional testing for detection of glaucoma. Ophthalmology 113:1593–1602
Weinreb R, Kaufman P (2009) The glaucoma research community and FDA look to the future: a report from the NEI/FDA CDER glaucoma clinical trial design and endpoints symposium. Invest Ophthalmol Vis Sci 50:1497–1505. doi:10.1167/iovs.08-2843
Crabb DP, Owen VMF, Garway-Heath DF (2007) Poor agreement between current tests of structural and functional progression in glaucoma can be explained by measurement noise (E-abstract). Invest Ophthalmol Vis Sci 48:1615
Vesti E, Spry P, Chauhan B, Johnson C (2002) Sensitivity differences between real-patient and computer-simulated visual fields. J Glaucoma 11:35–45
Gordon M, Beiser J, Brandt J, Heuer D, Higginbotham E, Johnson C, Keltner J, Miller J, Parrish R II, Wilson M, Kass M, Ocular Hypertension Treatment Study Group (2002) The Ocular Hypertension Treatment Study: baseline factors that predict the onset of primary open-angle glaucoma. Arch Ophthalmol 120:714–720. doi:10.1001/archopht.120.6.714
Leske MC, Heijl A, Hussein M, Bengtsson B, Hyman L, Komaroff E, Group EMGT (2003) Factors for glaucoma progression and the effect of treatment: the early manifest glaucoma trial. Arch Ophthalmol 121:48–56. doi:10.1001/archopht.121.1.48
Bonomi L, Marchini G, Marraffa M, Bernardi P, Morbio R, Varotto A (2000) Vascular risk factors for primary open angle glaucoma: The Egna-Neumarkt Study. Ophthalmology 107:1287–1293
Drance S, Anderson DR, Schulzer M (2001) Risk factors for progression of visual field abnormalities in normal-tension glaucoma. Am J Ophthalmol 131:699–708
Chopra V, Varma R, Francis BA, Wu J, Torres M, Azen SP (2008) Type 2 diabetes mellitus and the risk of open-angle glaucoma: The Los Angeles Latino Eye Study. Ophthalmology 115:227–232.e221
Broadway DC, Drance SM (1998) Glaucoma and vasospasm. Br J Ophthalmol 82:862–870. doi:10.1136/bjo.82.8.862
Leske MC, Connell AMS, Wu S-Y, Hyman LG, Schachat AP, Barbados Eye Study G (1995) Risk factors for open-angle glaucoma: The Barbados Eye Study. Arch Ophthalmol 113:918–924. doi:10.1001/archopht.1995.01100070092031
Spry P, Johnson C, Mansberger S, Cioffi G (2005) Psychophysical investigation of ganglion cell loss in early glaucoma. J Glaucoma 14:11–18
Bengtsson B, Olsson J, Heijl A, Rootzen H (1997) A new generation of algorithms for computerized threshold perimetry, SITA. Acta Ophthalmol 75:368–375
Fingeret M, Flanagan JG, Liebmann JM (2005) The essential HRT primer. Jocoto Advertising, Inc, San Ramon
Hood D, Kardon R (2007) A framework for comparing structural and functional measures of glaucomatous damage. Prog Retin Eye Res 26:688–710
Hot A, Dul M, Swanson W (2008) Development and evaluation of a contrast sensitivity perimetry test for patients with glaucoma. Invest Ophthalmol Vis Sci 49:3049–3057. doi:10.1167/iovs.07-1205
Deming W (1943) Statistical adjustment of data. Wiley, New York
Keltner JL, Johnson CA, Anderson DR, Levine RA, Fan J, Cello KE, Quigley HA, Budenz DL, Parrish RK, Kass MA, Gordon MO (2006) The association between glaucomatous visual fields and optic nerve head features in the Ocular Hypertension Treatment Study. Ophthalmology 113:1603–1612
DeLeon Ortega JE, Sakata LM, Kakati B, McGwin G, Monheit BE, Arthur SN, Girkin CA (2007) Effect of glaucomatous damage on repeatability of confocal scanning laser ophthalmoscope, scanning laser polarimetry, and optical coherence tomography. Invest Ophthalmol Vis Sci 48:1156–1163. doi:10.1167/iovs.06-0921
Zhu H, Crabb DP, Schlottmann PG, Lemij H, Reus NJ, Healey PR, Mitchell P, Ho T, Garway-Heath DF (2010) Predicting visual function from the measurements of retinal nerve fiber layer structure. Invest Ophthalmol Vis Sci 51(11):5657–5666. doi: 10.1167/iovs.10-5239
Gardiner S, Swanson W, Demirel S, McKendrick A, Turpin A, Johnson C (2008) A two-stage neural spiking model of visual contrast detection in perimetry. Vis Res 48:1859–1869
Hood DC, Anderson SC, Wall M, Raza AS, Kardon RH (2009) A test of a linear model of glaucomatous structure-function loss reveals sources of variability in retinal nerve fiber and visual field measurements. Invest Ophthalmol Vis Sci 50:4254–4266. doi:10.1167/iovs.08-2697
Harwerth R, Vilupuru A, Rangaswamy N, Smith E III (2007) The relationship between nerve fiber layer and perimetry measurements. Invest Ophthalmol Vis Sci 48:763–773
Quigley H, Dunkelberger G, Green W (1987) Retinal ganglion cell atrophy correlated with automated perimetry in human eyes with glaucoma. Am J Ophthalmol 107:453–464
Harwerth R, Carter-Dawson L, Shen F, Smith E, Crawford M (1999) Ganglion cell losses underlying visual field defects from experimental glaucoma. Invest Ophthalmol Vis Sci 40:2242–2250
Harwerth R, Crawford M, Frishman L, Viswanathan S, Smith E, Carter-Dawson L (2002) Visual field defects and neural losses from experimental glaucoma. Prog Retin Eye Res 21:91–125
Harwerth R, Quigley H (2006) Visual field defects and retinal ganglion cell losses in patients with glaucoma. Arch Ophthalmol 124:853–859. doi:10.1001/archopht.124.6.853
Harwerth RS, Wheat JL, Fredette MJ, Anderson DR (2010) Linking structure and function in glaucoma. Prog Ret Eye Res 29:249–271
Swanson W, Felius J, Pan F (2004) Perimetric defects and ganglion cell damage: interpreting linear relations using a two-stage neural model. Invest Ophthalmol Vis Sci 45:466–472
Strouthidis N, Scott A, Peter N, Garway-Heath D (2006) Optic disc and visual field progression in ocular hypertensive subjects: detection rates, specificity, and agreement. Invest Ophthalmol Vis Sci 47:2904–2910. doi:10.1167/iovs.05-1584
Hudson CJW, Kim LS, Hancock SA, Cunliffe IA, Wild JM (2007) Some dissociating factors in the analysis of structural and functional progressive damage in open-angle glaucoma. Br J Ophthalmol 91:624–628. doi:10.1136/bjo.2005.087213
Heijl A, Leske M, Bengtsson B, Hyman L, Hussein M (2002) Reduction of intraocular pressure and glaucoma progression: results from the early manifest glaucoma trial. Arch Ophthalmol 120:1268–1279
Gardiner S, Crabb D, Fitzke F, Hitchings R (2004) Reducing noise in suspected glaucomatous visual fields by using a new spatial filter. Vision Res 44:839–848
Strouthidis N, Scott A, Viswanathan A, Crabb D, Garway-Heath D (2007) Monitoring glaucomatous visual field progression: the effect of a novel spatial filter. Invest Ophthalmol Vis Sci 48:251–257. doi:10.1167/iovs.06-0576
Morales J, Weitzman M, Gonzalez de la Rosa M (2000) Comparison between tendency-oriented perimetry (TOP) and octopus threshold perimetry. Ophthalmology 107:134–142
Garway-Heath D, Poinoosawmy D, Fitzke F, Hitchings R (2000) Mapping the visual field to the optic disc in normal tension glaucoma eyes. Ophthalmology 107:1809–1815
Strouthidis N, Vinciotti V, Tucker A, Gardiner S, Crabb D, Garway-Heath D (2006) Structure and function in glaucoma; the relationship between a functional visual field map and an anatomical retinal map. Invest Ophthalmol Vis Sci 47:5356–5362
Bowd C, Zangwill L, Medeiros F, Tavares I, Hoffmann E, Bourne R, Sample P, Weinreb R (2006) Structure-function relationships using confocal scanning laser ophthalmoscopy, optical coherence tomography, and scanning laser polarimetry. Invest Ophthalmol Vis Sci 47:2889–2895. doi:10.1167/iovs.05-1489
Yang H, Downs JC, Girkin C, Sakata L, Bellezza A, Thompson H, Burgoyne CF (2007) 3-D Histomorphometry of the normal and early glaucomatous monkey optic nerve head: lamina cribrosa and peripapillary scleral position and thickness. Invest Ophthalmol Vis Sci 48:4597–4607. doi:10.1167/iovs.07-0349
Weber A, Harman C (2005) Structure-function relations of parasol cells in the normal and glaucomatous primate retina. Invest Ophthalmol Vis Sci 46:3197–3207
Fortune B, Demirel S, Zhang X, Hood D, Patterson E, Jamil A, Mansberger S, Cioffi G, Johnson C (2007) Comparing multifocal VEP and standard automated perimetry in high-risk ocular hypertension and early glaucoma. Invest Ophthalmol Vis Sci 48:1173–1180. doi:10.1167/iovs.06-0561
Harwerth R, Wheat J, Rangaswamy N (2008) Age-related losses of retinal ganglion cells and axons. Invest Ophthalmol Vis Sci 49:4437–4443. doi:10.1167/iovs.08-1753
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This project was funded in part by NIH grants NEI R01-EY-03424 (to author CAJ) and NEI R01- EY-019674 (to author SD). No authors have any financial/conflicting interests to disclose. The authors have full control of all primary data, and agree to allow Graefe’s Archive for Clinical and Experimental Ophthalmology to review the data if requested.
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Gardiner, S.K., Johnson, C.A. & Demirel, S. The effect of test variability on the structure–function relationship in early glaucoma. Graefes Arch Clin Exp Ophthalmol 250, 1851–1861 (2012). https://doi.org/10.1007/s00417-012-2005-9
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DOI: https://doi.org/10.1007/s00417-012-2005-9