Optical coherence tomography machine learning classifiers for glaucoma detection: A preliminary study

Investigative Ophthalmology and Visual Science

Volumn 46, Issue 11, 2005, Pages 4147-4152

  Burgansky Eliash, Zvia ^a   Wollstein, Gadi ^a   Chu, Tianjiao ^b   Ramsey, Joseph D ^c   Glymour, Clark ^c   Noecker, Robert J ^a   Ishikawa, Hiroshi ^a   Schuman, Joel S ^a  

^a University of Pittsburgh School of Medicine   (United States)

^b INSTITUTE FOR HUMAN AND MACHINE COGNITION   (United States)

^c CARNEGIE MELLON UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; AGED; ARTICLE; CLINICAL ARTICLE; CONTROLLED STUDY; DIAGNOSTIC TEST; DISCRIMINANT ANALYSIS; DISEASE CLASSIFICATION; DISEASE SEVERITY; FEMALE; GLAUCOMA; HUMAN; LEARNING; MACHINE; MALE; OPTICAL COHERENCE TOMOGRAPHY; PRIORITY JOURNAL; STATISTICAL MODEL; STATISTICAL PARAMETERS; VISUAL FIELD; ARTIFICIAL NEURAL NETWORK; CLASSIFICATION; CROSS-SECTIONAL STUDY; INTRAOCULAR PRESSURE; MIDDLE AGED; NERVE FIBER; OPEN ANGLE GLAUCOMA; OPTIC NERVE DISEASE; PARASITOLOGY; PILOT STUDY; REPRODUCIBILITY; RETINA GANGLION CELL; ROC CURVE; SENSITIVITY AND SPECIFICITY; VISUAL SYSTEM EXAMINATION;

ADULT; AGED; AGED, 80 AND OVER; CROSS-SECTIONAL STUDIES; DIAGNOSTIC TECHNIQUES, OPHTHALMOLOGICAL; FEMALE; GLAUCOMA, OPEN-ANGLE; HUMANS; INTRAOCULAR PRESSURE; MALE; MIDDLE AGED; NERVE FIBERS; NEURAL NETWORKS (COMPUTER); OPTIC NERVE DISEASES; PILOT PROJECTS; REPRODUCIBILITY OF RESULTS; RETINAL GANGLION CELLS; ROC CURVE; SENSITIVITY AND SPECIFICITY; TOMOGRAPHY, OPTICAL COHERENCE;

EID: 33644701046     PISSN: 01460404     EISSN: None     Source Type: Journal    
DOI: 10.1167/iovs.05-0366     Document Type: Article

References (42)

1. Sommer A, Miller NR, Pollack I, et al. The nerve fiber layer in the diagnosis of glaucoma. Arch Ophthalmol. 1977;95:2149-2156.
2. Harwerth RS, Carter-Dawson L, Shen F, et al. Ganglion cell losses underlying visual field defects from experimental glaucoma. Invest Ophthalmol Vis Sci. 1999;40:2242-2250.
3. Quigley HA, Addicks EM, Green WR. Optic nerve damage in human glaucoma. III. Quantitative correlation of nerve fiber loss and visual field defect in glaucoma, ischemic neuropathy, papilledema, and toxic neuropathy. Arch Ophthalmol. 1982;100:135-146.
4. 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.
5. Quigley HA, Katz J, Derick RJ, et al. An evaluation of optic disc and nerve fiber layer examinations in monitoring progression of early glaucoma damage. Ophthalmology. 1992;99:19-28.
6. Wang F, Quigley HA, Tielsch JM. Screening for glaucoma in a medical clinic with photographs of the nerve fiber layer. Arch Ophthalmol. 1994;112:796-800.
7. Huang D, Swanson EA, Lin CP, et al. Optical coherence tomography. Science. 1991;254:1178-1181.
8. Schuman JS, Pedut-Kloizman T, Hertzmark E, et al. Reproducibility of nerve fiber layer thickness measurements using optical coherence tomography. Ophthalmology. 1996;103:1889-1898.
9. Blumenthal EZ, Williams JM, Weinreb RN, et al. Reproducibility of nerve fiber layer thickness measurements by use of optical coherence tomography. Ophthalmology. 2000;107:2278-2282.
10. Villain MA, Greenfield DS. Peripapillary nerve fiber layer thickness measurement reproducibility using optical coherence tomography. Ophthalmic Surg Lasers Imaging. 2003;34:33-37.
11. Paunescu LA, Schuman JS, Price LL, et al. Reproducibility of nerve fiber thickness, macular thickness, and optic nerve head measurements using StratusOCT. Invest Ophthalmol Vis Sci. 2004;45:1716-1724.
12. Hoh ST, Greenfield DS, Mistlberger A, et al. Optical coherence tomography and scanning laser polarimetry in normal, ocular hypertensive, and glaucomatous eyes. Am J Ophthalmol. 2000;129:129-135.
13. Bowd C, Zangwill LM, Berry CC, et al. Detecting early glaucoma by assessment of retinal nerve fiber layer thickness and visual function. Invest Ophthalmol Vis Sci. 2001;42:1993-2003.
14. Guedes V, Schuman JS, Hertzmark E, et al. Optical coherence tomography measurement of macular and nerve fiber layer thickness in normal and glaucomatous human eyes. Ophthalmol. 2003;110:177-189.
15. Kanamori A, Nakamura M, Escano MF, et al. Evaluation of the glaucomatous damage on retinal nerve fiber layer thickness measured by optical coherence tomography. Am J Ophthalmol. 2003;135:513-520.
16. Essock EA, Sinai MJ, Bowd C, et al. Fourier analysis of optical coherence tomography and scanning laser polarimetry retinal nerve fiber layer measurements in the diagnosis of glaucoma. Arch Ophthalmol. 2003;121:1238-1245.
17. Wollstein G, Garway-Heath DF, Hitchings RA. Identification of early glaucoma cases with the scanning laser ophthalmoscope. Ophthalmology. 1998;105:1557-1563.
18. Mikelberg FS, Parfitt CM, Swindale NV, et al. Ability of the Heidelberg retina tomograph to detect early glaucomatous visual field loss. J Glaucoma. 1995;4:242-247.
19. Medeiros FA, Susanna R Jr. Comparison of algorithms for detection of localized nerve fiber layer defects using scanning laser polarimetry. Br J Ophthalmol. 2003;87:413-419.
20. Colen TP, Tang NE, Mulder PG, Lemij HG. Sensitivity and specificity of new GDx parameters. J Glaucoma. 2004;13:28-33.
21. Bowd C, Chan K, Zangwill LM, et al. Comparing neural networks and linear discriminant functions for glaucoma detection using confocal scanning laser ophthalmoscopy of the optic disc. Invest Ophthalmol Vis Sci. 2002;43:3444-3454.
22. Zangwill LM, Chan K, Bowd C, et al. Heidelberg retina tomograph measurements of the optic disc and parapapillary retina for detecting glaucoma analyzed by machine learning classifiers. Invest Ophthalmol Vis Sci. 2004;45:3144-3151.
23. Mardin CY, Hothorn T, Peters A, et al. New glaucoma classification method based on standard Heidelberg retina tomograph parameters by bagging classification tree. J Glaucoma. 2003;12:340-346.
24. Lauande-Pimentel R, Carvalho RA, Oliveiar HC, et al. Discrimination between normal and glaucomatous eyes with visual field and scanning laser polarimetry measurements. Br J Ophthalmol. 2001;85:586-591.
25. Wollstein G, Schuman JS, Price LL, et al. Optical coherence tomography (OCT) macular and peripapillary retinal nerve fiber layer measurements and automated visual fields. Am J Ophthalmol. 2004;138:218-225.
26. Fisher R. The use of multiple measurements in taxonomic problems. Annals of Eugenics. 1936;7:179-188.
27. Hastie T, Tibshirani R, Friedman J. The Elements of Statistical Learning. New York: Springer;2001:84-95.
28. Nelder JA, Wedderburn RWM. Generalized linear models. J R Stat Soc A. 1972;135:370-384.
29. Hastie T, Tibshirani R. Generalized additive models. Stat Sci. 1986;1:297-318.
30. Vapnik V. Statistical Learning Theory. New York: Wiley-Interscience; 1998:401-441.
31. Schlkopf R, Smola A. Learning with Kernels: Support Vector Machines, Regularization, Optimization and Beyond. Cambridge, MA: MIT Press; 2001:189-222.
32. Breiman L, Friedman J, Olshen R, Stone C. Classification and Regression Trees. Belmont, CA: Wadsworth; 1984:18-58.
33. DeLong E, DeLong D, Clarke-Pearson D. Comparing the area under two or more correlated receiver operating characteristics curves: a non parametric approach. Biometrics. 1988;44:837-845.
34. Stone M. Cross-validatory choice and assessment of statistical predictions. R Stat Soc. 1974;36:111-147.
35. Golub G, Heath H, Wahba G. Generalized cross-validations a method for choosing a good ridge parameter. Technometrics. 1979;21:215-224.
36. Medeiros FA, Zangwill LM, Bowd C, Weinreb RN. Comparison of the GDx VCC scanning laser polarimeter, HRT II confocal scanning laser ophthalmoscope, and Stratus OCT optical coherence tomograph for the detection of glaucoma. Arch Ophthalmol. 2004;122:827-837.
37. Zangwill LM, Bowd C, Berry CC, et al. Discrimination between normal and glaucomatous eyes using the Heidelberg retina tomograph, GDx nerve fiber analyzer, and optical coherence tomograph. Arch Ophthalmol. 2001;119:985-993.
38. Budenz DL, Michael A, Chang RT, et al. Sensitivity and specificity of the stratusOCT for perimetry glaucoma. Ophthalmol. 2005;112:3-9.
39. Nouri-Mahdavi K, Hoffman D, Tannenbaum DP, et al. Identifying early glaucoma with optical coherence tomography. Am J Ophthalmol. 2004;137:228-235.
40. Hougaard JL, Heijl A, Krogh E. The nerve fiber layer symmetry test: computerized evaluation of human retinal nerve fiber layer thickness as measured by optical coherence tomography. Acta Ophthalmol Scand. 2004;82:410-418.
41. Chauhan BC, McCormick TA, Nicolela MT, LeBlanc RP. Optic disc and visual field changes in a prosective longitudinal study of patients with glaucoma: comparison of scanning laser tomography with conventional perimetry and optic disc photography. Arch Ophthalmol. 2001;119:1492-1499.
42. Wollstein G, Schuman JS, Price LL, et al. Optical coherence tomography longitudinal evaluation of retinal thickness in glaucoma. Arch Ophthalmol. 2005;123:464-470.