TY - JOUR
T1 - Diagnostic capabilities of frequency-doubling technology, scanning laser polarimetry, and nerve fiber layer photographs to distinguish glaucomatous damage
AU - Paczka, Jose A.
AU - Friedman, David S.
AU - Quigley, Harry A.
AU - Barron, Yolanda
AU - Vitale, Susan
N1 - Funding Information:
This work was supported in part by PHS Research Grant 01765 (Core Facility Grant, Wilmer Institute).
Copyright:
Copyright 2007 Elsevier B.V., All rights reserved.
PY - 2001
Y1 - 2001
N2 - PURPOSE: To investigate the ability of three diagnostic tests: frequency-doubling technology (FDT), scanning laser polarimetry (GDx), and nerve fiber layer (NFL) photographs to distinguish normal from glaucomatous eyes. METHODS: Data were obtained in a cross-sectional, hospital clinic-based study, including one eye from each of 253 persons older than 40 years (68 normal, 94 glaucoma suspects and 91 glaucoma patients). We performed a comprehensive ocular examination, as well as static automated perimetry (Humphrey 24-2), screening FDT, GDx, optic nerve stereoscopic photographs and high-contrast NFL photographs. RESULTS: The following were significantly different for glaucomatous patients compared with suspects and normals: mean values of mean deviation (MD, Humphrey 24-2) and corrected pattern standard deviation (CPSD), 11 GDx indices, mean FDT testing time and missed points, and NFL graded defects (ANOVA, Mantel-Haenszel test; p = 0.0001). Using Humphrey 24-2 test results and clinical assessment as the defining features of glaucoma, we found that the optimal mix of sensitivity and specificity values were 84% and 100% for FDT (presence of any defect); 62% and 96% for GDx (The Number, cut-off value of 27); and, 95% and 82% for NFL photographs (presence of any abnormality). FDT testing took the least time to be administered. CONCLUSIONS: The FDT had the best diagnostic performance. Neural network analysis of GDx data outperformed other elements of its software.
AB - PURPOSE: To investigate the ability of three diagnostic tests: frequency-doubling technology (FDT), scanning laser polarimetry (GDx), and nerve fiber layer (NFL) photographs to distinguish normal from glaucomatous eyes. METHODS: Data were obtained in a cross-sectional, hospital clinic-based study, including one eye from each of 253 persons older than 40 years (68 normal, 94 glaucoma suspects and 91 glaucoma patients). We performed a comprehensive ocular examination, as well as static automated perimetry (Humphrey 24-2), screening FDT, GDx, optic nerve stereoscopic photographs and high-contrast NFL photographs. RESULTS: The following were significantly different for glaucomatous patients compared with suspects and normals: mean values of mean deviation (MD, Humphrey 24-2) and corrected pattern standard deviation (CPSD), 11 GDx indices, mean FDT testing time and missed points, and NFL graded defects (ANOVA, Mantel-Haenszel test; p = 0.0001). Using Humphrey 24-2 test results and clinical assessment as the defining features of glaucoma, we found that the optimal mix of sensitivity and specificity values were 84% and 100% for FDT (presence of any defect); 62% and 96% for GDx (The Number, cut-off value of 27); and, 95% and 82% for NFL photographs (presence of any abnormality). FDT testing took the least time to be administered. CONCLUSIONS: The FDT had the best diagnostic performance. Neural network analysis of GDx data outperformed other elements of its software.
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U2 - 10.1016/S0002-9394(00)00644-9
DO - 10.1016/S0002-9394(00)00644-9
M3 - Article
C2 - 11228294
AN - SCOPUS:0035136513
VL - 131
SP - 188
EP - 197
JO - American Journal of Ophthalmology
JF - American Journal of Ophthalmology
SN - 0002-9394
IS - 2
ER -