Combining Spectral Domain Optical Coherence Tomography Structural Parameters for the Diagnosis of Glaucoma With Early Visual Field Loss

Abstract

The multivariable model was successful in predicting glaucoma with early visual field loss and outperformed univariable models in terms of AUC, AIC, PILs, and classification rates.

A Diagnostic Calculator for Detecting Glaucoma on the Basis of Retinal Nerve Fiber Layer, Optic Disc, and Retinal Ganglion Cell Analysis by Optical Coherence Tomography

“…Consequently, multivariate models predictive of glaucoma have been proposed to improve the diagnostic ability of these OCT parameters that yield results that are highly correlated and somewhat redundant. Previous studies have used learning classifiers, linear discriminant functions, principal component analysis, and logistic regression analyses [6][7][8] to improve the OCT diagnostic value. Some studies combined ONH and RNFL parameters that evaluated the status of GC axons at different locations, 17 whereas other studies combined ONH, RNFL, and macular GCIPL complex parameters, which accumulate information about different retinal anatomic areas.…”

“…Some studies combined ONH and RNFL parameters that evaluated the status of GC axons at different locations, 17 whereas other studies combined ONH, RNFL, and macular GCIPL complex parameters, which accumulate information about different retinal anatomic areas. [6][7][8] However, those studies did not show the mathematical functions in their reports or provide a Web link to allow external validation or simple implementation of the proposed function in a given patient. It is important that such information be accessible; otherwise, the value of the function is limited to the authors and cannot be compared.…”

“…In addition, compared to previous reports, [6][7][8]17 we presented our diagnostic calculator for external validation directly and through a Web link. We also tested and validated the functions in larger populations compared with comparable reports such as that of Mwanza et al 8 (687 subjects compared to 253 subjects). Furthermore, our subjects were recruited from three hospitals and were representative of the Spanish population.…”

“…[3][4][5] Recent articles have analyzed combinations of different structural parameters to improve the diagnostic ability to detect glaucoma; some analyzed the RNFL thickness and optic nerve parameters and others the peripapillary RNFL and macular GCIPL parameters. [6][7][8] The purpose of the current study was to develop and validate multivariate predictive models to detect glaucoma by using a combination of optic nerve evaluation, RNFL thickness, and macular GCIPL parameters measured by Cirrus OCT (Carl Zeiss Meditec, Inc., Dublin, CA, USA) to improve the detection of glaucoma in the initial and advanced disease stages. …”

Reproducibility of circumpapillary retinal nerve fiber layer measurements using handheld optical coherence tomography in sedated children

“…[1][2][3][4][5][6][7] The intra-and intervisit reproducibility of SD-OCT circumpapillary RNFL measures has recently been enhanced by eye tracking and registration technology, typically yielding an intraclass correlation coefficient (ICC) greater than 90% and coefficient of variation below 4.0%. [7][8][9][10][11][12] Despite the addition of eye tracking technology, many infants, toddlers, and young children frequently cannot cooperate with traditional table-mounted SD-OCT imaging due to their young age and or comorbid medical conditions.…”