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.
RCT Entities:
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 glaucomapatients). 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 glaucomatouspatients 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.
Authors: Andrew John Anderson; Chris A Johnson; Murray Fingeret; John L Keltner; Paul G D Spry; Michael Wall; John S Werner Journal: Invest Ophthalmol Vis Sci Date: 2005-04 Impact factor: 4.799
Authors: Dolly S Chang; Karun S Arora; Michael V Boland; Wasu Supakontanasan; David S Friedman Journal: Am J Ophthalmol Date: 2013-09-04 Impact factor: 5.258
Authors: Dolly S Chang; Michael V Boland; Karun S Arora; Wasu Supakontanasan; Bei Bei Chen; David S Friedman Journal: Invest Ophthalmol Vis Sci Date: 2013-08-19 Impact factor: 4.799
Authors: Folkert K Horn; Vicki Scharch; Christian Y Mardin; Robert Lämmer; Jan Kremers Journal: Graefes Arch Clin Exp Ophthalmol Date: 2016-02-17 Impact factor: 3.117