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Proceedings Paper

Combining retinal nerve fiber layer thickness with individual retinal blood vessel locations allows modeling of central vision loss in glaucoma
Author(s): Hui Wang; Mengyu Wang; Neda Baniasadi; Qingying Jin; Tobias Elze
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Paper Abstract

Purpose: To assess whether modeling of central vision loss (CVL) due to glaucoma by optical coherence tomography (OCT) retinal nerve fiber (RNF) layer thickness (RNFLT) can be improved by including the location of the major inferior temporal retinal artery (ITA), a known correlate of individual RNF geometry. Methods: Pat- tern deviations of the two locations of the Humphrey 24-2 visual field (VF) known to be specifically vulnerable to glaucomatous CVL and OCT RNFLT on the corresponding circumpapillary sector around the optic nerve head within the radius of 1.73mm were retrospectively selected from 428 eyes of 428 patients of a large clinical glaucoma service. ITA was marked on the 1.73mm circle by a trained observer. Linear regression models were fitted with CVL as dependent variable and VF mean deviation (MD) plus either of (1) RNFLT, (2) ITA, and (3) their combination, respectively, as regressors. To assess CVL over all levels of glaucoma severity, the three models were compared to a null model containing only MD. A Baysian model comparison was performed with the Bayes Factor (BF) as measure of strength of evidence (BF<3: no evidence, 3-20: positive evidence, >20: strong evidence over null model). Results: Neither RNFLT (BF=0.9) nor ITA (BF=1.4) alone provided positive evidence over the null model, but their combination resulted in a model with strong evidence (BF=21.4). Conclusion: While the established circumpapillary RNFLT sector, based on population statistics, could not satisfactorily model CVL, the inclusion of a retinal parameter related to individual eye anatomy yielded a strong structure-function model.

Paper Details

Date Published: 8 February 2017
PDF: 5 pages
Proc. SPIE 10045, Ophthalmic Technologies XXVII, 100451M (8 February 2017); doi: 10.1117/12.2251132
Show Author Affiliations
Hui Wang, Jilin Univ. of Finance and Economics (China)
Harvard Medical School (United States)
Mengyu Wang, Harvard Medical School (United States)
Neda Baniasadi, Harvard Medical School (United States)
Univ. of Massachusetts Lowell (United States)
Qingying Jin, Harvard Medical School (United States)
Jilin Univ. (China)
Tobias Elze, Harvard Medical School (United States)
Max Planck Institute for Mathematics in the Sciences (Germany)

Published in SPIE Proceedings Vol. 10045:
Ophthalmic Technologies XXVII
Fabrice Manns; Per G. Söderberg; Arthur Ho, Editor(s)

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