Comparing the full-threshold and Swedish interactive thresholding algorithms for short-wavelength automated perimetry

Investigative Ophthalmology and Visual Science

Volumn 50, Issue 4, 2009, Pages 1726-1733

  Ng, Minna ^a   Racette, Lyne ^a   Pascual, John P ^a   Liebmann, Jeffrey M ^b   Girkin, Christopher A ^c   Lovell, Sarah L ^a   Zangwill, Linda M ^a   Weinreb, Robert N ^a   Sample, Pamela A ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b NEW YORK EYE AND EAR INFIRMARY   (United States)

^c UNIVERSITY OF ALABAMA AT BIRMINGHAM   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; AGED; ALGORITHM; ARTICLE; CONTROLLED STUDY; DISEASE SEVERITY; FEMALE; GLAUCOMA; HUMAN; INTERMETHOD COMPARISON; MAJOR CLINICAL STUDY; MALE; OPTIC DISK; OPTIC NERVE DISEASE; PRIORITY JOURNAL; SENSITIVITY AND SPECIFICITY; SHORT WAVELENGTH AUTOMATED PERIMETRY; STATISTICAL ANALYSIS; STEREOPHOTOGRAMMETRY; VISION TEST; VISUAL FIELD; COMPARATIVE STUDY; INTRAOCULAR PRESSURE; METHODOLOGY; MIDDLE AGED; OPEN ANGLE GLAUCOMA; PATHOLOGY; PERCEPTIVE THRESHOLD; PERIMETRY; PROSPECTIVE STUDY; REPRODUCIBILITY; ROC CURVE; VISUAL ACUITY;

ADULT; AGED; AGED, 80 AND OVER; ALGORITHMS; FEMALE; GLAUCOMA, OPEN-ANGLE; HUMANS; INTRAOCULAR PRESSURE; MALE; MIDDLE AGED; OPTIC DISK; OPTIC NERVE DISEASES; PERIMETRY; PROSPECTIVE STUDIES; REPRODUCIBILITY OF RESULTS; ROC CURVE; SENSITIVITY AND SPECIFICITY; SENSORY THRESHOLDS; VISUAL ACUITY; VISUAL FIELDS;

EID: 64049113180     PISSN: 01460404     EISSN: 15525783     Source Type: Journal    
DOI: 10.1167/iovs.08-2718     Document Type: Article

References (26)

1. Dacey DM, Lee BB. The 'blue-on' opponent pathway in primate retina originates from a distinct bistratified ganglion cell type. Nature. 1994;367:731-735.
2. Sample PA, Weinreb RN. Color perimetry for assessment of primary open-angle glaucoma. Invest Ophthalmol Vis Sci. 1990;31:1869-1875.
3. Sample PA, Taylor JD, Martinez GA, Lusky M, Weinreb RN. Short-wavelength color visual fields in glaucoma suspects at risk. Am J Ophthalmol. 1993;115:225-233.
4. Johnson CA. Diagnostic value of short-wavelength automated perimetry. Curr Opin Ophthalmol. 1996;7:54-58.
5. Johnson CA, Adams AJ, Casson EJ, Brandt JD. Blue-on-yellow perimetry can predict the development of glaucomatous visual field loss. Arch Ophthalmol. 1993;111:645-650.
6. Johnson CA, Brandt JD, Khong AM, Adams AJ. Short-wavelength automated perimetry in low-, medium-, and high-risk ocular hypertensive eyes: initial baseline results. Arch Ophthalmol. 1995;113:70-76.
7. Sample PA, Bosworth CF, Weinreb RN. Short-wavelength automated perimetry and motion automated perimetry in patients with glaucoma. Arch Ophthalmol. 1997;115:1129-1133.
8. Sample PA. Short-wavelength automated perimetry: its role in the clinic and for understanding ganglion cell function. Prog Retin Eye Res. 2000;19:369-383.
9. Racette L, Sample PA. Short-wavelength automated perimetry. Ophthalmol Clin North Am. 2003;16:227-237.
10. Bengtsson B. A new rapid threshold algorithm for short-wavelength automated perimetry. Invest Ophthalmol Vis Sci. 2003;44:1388-1394.
11. Bengtsson B, Heijl A. Inter-subject variability and normal limits of the SITA Standard, SITA Fast, and the Humphrey Full Threshold computerized perimetry strategies, SITA STATPAC. Acta Ophthalmol Scand. 1999;77:125-129.
12. Bengtsson B, Olsson J, Heijl A, Rootzen H. A new generation of algorithms for computerized threshold perimetry, SITA. Acta Ophthalmol Scand. 1997;75:368-375.
13. Bengtsson B, Heijl A. Normal intersubject threshold variability and normal limits of the SITA SWAP and full threshold SWAP perimetric programs. Invest Ophthalmol Vis Sci. 2003;44:5029-5034.
14. Sample PA, Johnson CA, Haegerstrom-Portnoy G, Adams AJ. Optimum parameters for short-wavelength automated perimetry. J Glaucoma. 1996;5:375-383.
15. Swets D, Green J. Signal Detection Theory and Psychophysics. 1966; John Wiley & Sons New York.
16. 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.
17. Bland JM, Altman DG. Statistical methods for assessing agreement between two methods of clinical measurement. Lancet. 1986;1:307-310.
18. Altman DG, Bland JM. Measurement in medicine: the analysis of method comparison studies. Statistician. 1983;32:307-317.
19. Landis JR, Koch GG. The measurement of observer agreement for categorical data. Biometrics. 1977;33:159-174.
20. Johnson CA, Sample PA, Zangwill LM, et al. Structure and function evaluation (SAFE): II. Comparison of optic disk and visual field characteristics. Am J Ophthalmol. 2003;135:148-154.
21. Mansberger SL, Zangwill LM, Sample PA, Choi D, Weinreb RN. Relationship of optic disk topography and visual function in patients with large cup-to-disk ratios. Am J Ophthalmol. 2003;136:888-894.
22. Medeiros FA, Zangwill LM, Bowd C, Sample PA, Weinreb RN. Use of progressive glaucomatous optic disk change as the reference standard for evaluation of diagnostic tests in glaucoma. Am J Ophthalmol. 2005;139:1010-1018.
23. Girkin CA. Relationship between structure of optic nerve/nerve fiber layer and functional measurements in glaucoma. Curr Opin Ophthalmol. 2004;15:96-101.
24. Tafreshi A, Sample PA, Liebmann JM, et al. Visual function specific perimetry to identify glaucomatous visual loss using three definitions of visual field abnormality. Invest Ophthalmol Vis Sci. Published online October 31, 2008
25. Sample PA, Medeiros FA, Racette L, et al. Identifying glaucomatous vision loss with visual-function-specific perimetry in the diagnostic innovations in glaucoma study. Invest Ophthalmol Vis Sci. 2006;47:3381-3389.
26. Bengtsson B, Heijl A. Diagnostic sensitivity of fast blue-yellow and standard automated perimetry in early glaucoma. Ophthalmology. 2006;113:1092-1097.