Abstract
Primary open angle glaucoma (POAG) is a leading cause of blindness [8]. The commonly accepted risk factors for POAG include older age, high intraocular pressure, positive family history of glaucoma, and race [3].
Individuals with type 2 diabetes mellitus (T2DM) are at greater risk of having open-angle glaucoma (POAG) than those without T2DM. Thus, screening programs for diabetic retinopathy may be an excellent opportunity for screening for POAG and implementation of additional tests.
In this work we intend to evaluate the performance of GDx measures for detecting POAG through the methodology of ROC curves.
One retrospective cross-sectional study was carried out on individuals with T2DM with evaluation of diabetic retinopathy from 2008 to 2010 in Hospital Centre of Vila Nova de Gaia Northern Portugal. Individuals who had a positive screen were referred for scanning the nerve fiber layer of the retina with GDxTMdevice. In this study, the diagnosis of POAG was based on a computerized ophthalmoscopy and static analysis and based on this, the eyes were classified as healthy (n N = 85) and with definite glaucoma (n A = 37).
The comparison of diagnostic indicators was performed by Comp2ROC package [2].
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Braga, A.C., Figueiredo, L., Meira, D. (2014). Performance Comparison of Screening Tests for POAG for T2DM Using Comp2ROC Package. In: Murgante, B., et al. Computational Science and Its Applications – ICCSA 2014. ICCSA 2014. Lecture Notes in Computer Science, vol 8581. Springer, Cham. https://doi.org/10.1007/978-3-319-09150-1_43
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DOI: https://doi.org/10.1007/978-3-319-09150-1_43
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