Sensitivity and Specificity of the Heidelberg Retina Tomograph II Version 3.0 in a Population-based Study: The Tajimi Study

Ophthalmology

Volumn 116, Issue 10, 2009, Pages 1854-1861

  Saito, Hitomi ^a,b   Tsutsumi, Tae ^a,b   Araie, Makoto ^a   Tomidokoro, Atsuo ^a   Iwase, Aiko ^b  

^a UNIVERSITY OF TOKYO   (Japan)

^b Tajimi Municipal Hospital   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; ARTICLE; COMPUTER PROGRAM; CONTROLLED STUDY; CROSS-SECTIONAL STUDY; DIAGNOSTIC ACCURACY; DIAGNOSTIC ERROR; DISEASE CLASSIFICATION; FS MIKELBERG DISCRIMINANT FUNCTION; GLAUCOMA; GLAUCOMA PROBABILITY SCORE; HUMAN; HYPERMETROPIA; MAJOR CLINICAL STUDY; MEASUREMENT; MOORFIELDS REGRESSION ANALYSIS; OPTIC DISK; OPTICAL TOMOGRAPHY; POPULATION RESEARCH; PRIORITY JOURNAL; SENSITIVITY AND SPECIFICITY; VISUAL FIELD;

ADULT; AGED; CROSS-SECTIONAL STUDIES; DIAGNOSTIC TECHNIQUES, OPHTHALMOLOGICAL; DISCRIMINANT ANALYSIS; FALSE NEGATIVE REACTIONS; GLAUCOMA, OPEN-ANGLE; HUMANS; INTRAOCULAR PRESSURE; JAPAN; MIDDLE AGED; OCULAR HYPERTENSION; OPTIC DISK; OPTIC NERVE DISEASES; PREDICTIVE VALUE OF TESTS; PROBABILITY; REGRESSION ANALYSIS; SENSITIVITY AND SPECIFICITY; TOMOGRAPHY; VISION DISORDERS; VISUAL FIELDS;

EID: 70349470985     PISSN: 01616420     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ophtha.2009.03.048     Document Type: Article

References (31)

1. Quigley H.A., and Green W.R. The histology of human glaucoma cupping and optic nerve damage: clinicopathologic correlation in 21 eyes. Ophthalmology 86 (1979) 1803-1830
2. Quigley H.A., Miller N.R., and George T. Clinical evaluation of nerve fiber layer atrophy as an indicator of glaucomatous optic nerve damage. Arch Ophthalmol 98 (1980) 1564-1571
3. Pederson J.E., and Anderson D.R. The mode of progressive disc cupping in ocular hypertension and glaucoma. Arch Ophthalmol 98 (1980) 490-495
4. Jonas J.B., Bergua A., Schmitz-Valckenberg P., et al. Ranking of optic disc variables for detection of glaucomatous optic nerve damage. Invest Ophthalmol Vis Sci 41 (2000) 1764-1773
5. Quigley H.A., Katz J., Derick R.J., et al. An evaluation of optic disc and nerve fiber layer examinations in monitoring progression of early glaucoma damage. Ophthalmology 99 (1992) 19-28
6. Iester M., Mikelberg F.S., and Drance S.M. The effect of optic disc size on diagnostic precision with the Heidelberg retina tomograph. Ophthalmology 104 (1997) 545-548
7. Wollstein G., Garway-Heath D.F., and Hitchings R.A. Identification of early glaucoma cases with the scanning laser ophthalmoscope. Ophthalmology 105 (1998) 1557-1563
8. Swindale N.V., Stjepanovic G., Chin A., and Mikelberg F.S. Automated analysis of normal and glaucomatous optic nerve head topography images. Invest Ophthalmol Vis Sci 41 (2000) 1730-1742
9. Zangwill L.M., Chan K., Bowd C., et al. Heidelberg retina tomography measurements of the optic disc and parapapillary retina for detecting glaucoma analyzed by machine learning classifiers. Invest Ophthalmol Vis Sci 45 (2004) 3144-3151
10. Coops A., Henson D.B., Kwartz A.J., and Artes P.H. Automated analysis of Heidelberg retina tomograph optic disc images by glaucoma probability score. Invest Ophthalmol Vis Sci 47 (2006) 5348-5355
11. Burgansky-Eliash Z., Wollstein G., Bilonick R.A., et al. Glaucoma detection with the Heidelberg Retina Tomograph 3. Ophthalmology 114 (2007) 466-471
12. Ferreras A., Pajarin A.B., Polo V., et al. Diagnostic ability of Heidelberg Retina Tomograph 3 classifications: glaucoma probability score versus Moorfields regression analysis. Ophthalmology 114 (2007) 1981-1987
13. Moreno-Montanes J., Anton A., Garcia N., et al. Glaucoma probability score vs Moorfields classification in normal, ocular hypertensive, and glaucomatous eyes. Am J Ophthalmol 145 (2008) 360-368
14. Ferreras A., Pablo L.E., Pajarin A.B., et al. Diagnostic ability of the Heidelberg Retina Tomograph 3 for glaucoma. Am J Ophthalmol 145 (2008) 354-359
15. Ferreras A., Pablo L.E., Larrosa J.M., et al. Discriminating between normal and glaucoma-damaged eyes with the Heidelberg Retina Tomograph 3. Ophthalmology 115 (2008) 775-781
16. Townsend K.A., Wollstein G., Danks D., et al. Heidelberg Retina Tomograph 3 machine learning classifiers for glaucoma detection. Br J Ophthalmol 92 (2008) 814-818
17. Iwase A., Suzuki Y., Araie M., et al., Tajimi Study Group, Japan Glaucoma Society. The prevalence of primary open-angle glaucoma in Japanese: the Tajimi Study. Ophthalmology 111 (2004) 1641-1648
18. Casson R.J., Newland H.S., Muecke J., et al. Prevalence of glaucoma in rural Myanmar: the Meiktila Eye Study. Br J Ophthalmol 91 (2007) 710-714
19. Sakata K., Sakata L.M., Sakata V.M., et al. Prevalence of glaucoma in a South Brazilian population: Projeto Glaucoma. Invest Ophthalmol Vis Sci 48 (2007) 4974-4979
20. Yamamoto T., Iwase A., Araie M., et al., Tajimi Study Group, Japan Glaucoma Society. The Tajimi Study report 2: prevalence of primary angle closure and secondary glaucoma in a Japanese population. Ophthalmology 112 (2005) 1661-1669
21. Iwase A., Araie M., Tomidokoro A., et al., Tajimi Study Group. Prevalence and causes of low vision and blindness in a Japanese adult population: the Tajimi Study. Ophthalmology 113 (2006) 1354-1362
22. Wadood A.C., Azuara-Blanco A., Aspinall P., et al. Sensitivity and specificity of frequency-doubling technology, tendency-oriented perimetry, and Humphrey Swedish Interactive Threshold Algorithm-Fast perimetry in a glaucoma practice. Am J Ophthalmol 133 (2002) 327-332
23. Anderson D.R., and Pattela V.M. Interpretation of a single field. In: Craven L. (Ed). Automated Static Perimetry. 2nd ed. (1999), Mosby, St. Louis, MO 152-153
24. Foster P.J., Buhrmann R., Quigley H.A., and Johnson G.J. The definition and classification in prevalence surveys. Br J Ophthalmol 86 (2002) 238-242
25. Mikelberg F.S., Parfitt C.M., Swindale N.V., et al. Ability of the Heidelberg retina tomograph to detect early glaucomatous visual field loss. J Glaucoma 4 (1995) 242-247
26. Uchida H., Brigatti L., and Caprioli J. Detection of structural damage from glaucoma with confocal laser image analysis. Invest Ophthalmol Vis Sci 37 (1996) 2393-2401
27. Iwase A., Tomidokoro A., Araie M., et al., Tajimi Study Group. Performance of frequency-doubling technology perimetry in a population-based prevalence survey of glaucoma: the Tajimi study. Ophthalmology 114 (2007) 27-32
28. Saito H., Tomidokoro A., Yanagisawa M., et al. Sensitivity and specificity with the Glaucoma Probability Score in Heidelberg Retina Tomograph II in Japanese Eyes. J Glaucoma 18 (2009) 227-232
29. Oddone F., Centofanti M., Rossetti L., et al. Exploring the Heidelberg Retinal Tomograph 3 diagnostic accuracy across disc sizes and glaucoma stages: a multicenter study. Ophthalmology 115 (2008) 1358-1365
30. Ford B.A., Artes P.H., McCormick T.A., et al. Comparison of data analysis tools for detection of glaucoma with the Heidelberg retina tomograph. Ophthalmology 110 (2003) 1145-1150
31. Hawker M.J., Vernon S.A., and Ainsworth G. Specificity of the Heidelberg retina tomograph's diagnostic algorithms in a normal elderly population: the Bridlington Eye Assessment Project. Ophthalmology 113 (2006) 778-785