The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Comparison of the GDx VCC Scanning Laser Polarimeter, HRT II ConfocalScanning Laser Ophthalmoscope, and Stratus OCT Optical Coherence Tomographfor the Detection of Glaucoma
Abstract
OBJECTIVE: To compare the abilities of current commercially available versions of 3 optical imaging techniques: scanning laser polarimetry with variable corneal compensation (GDx VCC), confocal scanning laser ophthalmoscopy (HRT II [Heidelberg Retina Tomograph]), and optical coherence tomography (Stratus OCT) to discriminate between healthy eyes and eyes with glaucomatous visual field loss. METHODS: We included 107 patients with glaucomatous visual field loss and 76 healthy subjects of a similar age. All individuals underwent imaging with a GDx VCC, HRT II, and fast retinal nerve fiber layer scan with the Stratus OCT as well as visual field testing within a 6-month period. Receiver operating characteristic curves and sensitivities at fixed specificities (80% and 95%) were calculated for parameters reported as continuous variables. Diagnostic categorization (outside normal limits, borderline, or within normal limits) provided by each instrument after comparison with its respective normative database was also evaluated, and likelihood ratios were reported. Agreement on categorization between methods (weighted kappa) was assessed. RESULTS: After the exclusion of subjects with unacceptable images, the final study sample included 141 eyes of 141 subjects (75 with glaucoma and 66 healthy control subjects). Mean +/- SD mean deviation of the visual field test result for patients with glaucoma was -4.87 +/- 3.9 dB, and 70% of these patients had early glaucomatous visual field damage. No statistically significant difference was found between the areas under the receiver operating characteristic curves (AUCs) for the best parameters from the GDx VCC (nerve fiber indicator, AUC = 0.91), Stratus OCT (retinal nerve fiber layer inferior thickness, AUC = 0.92), and HRT II (linear discriminant function, AUC = 0.86). Abnormal results for each of the instruments, after comparison with their normative databases, were associated with strong positive likelihood ratios. Chance-corrected agreement (weighted kappa) among the 3 instruments ranged from moderate to substantial (0.50-0.72). CONCLUSIONS: The AUCs and the sensitivities at high specificities were similar among the best parameters from each instrument. Abnormal results (as compared with each instrument's normative database) were associated with high likelihood ratios and large effects on posttest probabilities of having glaucomatous visual field loss. Calculation of likelihood ratios may provide additional information to assist the clinician in diagnosing glaucoma with these instruments.
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Cites
The Measurement of Observer Agreement for Categorical Data
Landis, J. R., & Koch, G. G. (1977) · Biometrics · doi:10.2307/2529310 · Cited by 81,148
DeLong, E. R., DeLong, D. M., & Clarke-Pearson, D. L. (1988) · Biometrics · doi:10.2307/2531595 · Cited by 22,649
Statistical Methods for Rates and Proportions
Fleiss, J. L., Levin, B., & Paik, M. C. (2003) · Wiley Series in Probability and Statistics · doi:10.1002/0471445428 · Cited by 18,646
(1975) · New England Journal of Medicine · doi:10.1056/nejm197507312930513 · Cited by 1,017
Likelihood ratios with confidence: Sample size estimation for diagnostic test studies
Simel, D. L., Samsa, G. P., & Matchar, D. B. (1991) · Journal of Clinical Epidemiology · doi:10.1016/0895-4356(91)90128-v · Cited by 932 · cited 2×
“The 95% CIs for LRs were calculated according to the method proposed by Simel et al.(39) Chance-corrected agreement on categorization between different instruments was assessed using a weighted approach, with quadratic weighting assignment as proposed by Fleiss.”
Method
Cited by
The Pathophysiology and Treatment of Glaucoma: A Review
Weinreb, R. N., Aung, T., & Medeiros, F. A. (2014) · JAMA · doi:10.1001/jama.2014.3192 · Cited by 4,210
Self-citationRetinal Nerve Fiber Layer Imaging with Spectral-Domain Optical Coherence Tomography
Leung, C. K.-S., Cheung, C. Y.-L., Weinreb, R. N., Qiu, Q., Liu, S., Li, H., Xu, G., Fan, N., Huang, L., Pang, C.-P., et al. (2009) · Ophthalmology · doi:10.1016/j.ophtha.2009.04.013 · Cited by 486
Primary Open-Angle Glaucoma Preferred Practice Pattern®
Gedde, S. J., Vinod, K., Wright, M. M., Muir, K. W., Lind, J. T., Chen, P. P., Li, T., & Mansberger, S. L. (2021) · Ophthalmology · doi:10.1016/j.ophtha.2020.10.022 · Cited by 474
The African Descent and Glaucoma Evaluation Study (ADAGES): Design and Baseline Data
Sample, P. A. (2009) · Archives of Ophthalmology · doi:10.1001/archophthalmol.2009.187 · Cited by 331
Metadata
- Authors
- Medeiros, F. A.
- Venue
- Archives of Ophthalmology
- Publisher
- American Medical Association (AMA)
- Published
- 2004-06-01
- Volume
- 122
- Issue
- 6
- Pages
- 827
- ISSN
- 0003-9950 (ISSN-L)
- OpenAlex
- W2126692927
- Cited by
- 455
- References
- 5
- FWCI
- 43.55
- Type
- journal article
- Language
- en
- Open access
- closed
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