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1 General aspects (0)   1.1 Epidemiology (9)   1.2 Population genetics (3)   1.3 Pathogenesis (7)   1.4 Quality of life (20)   1.5 Glaucomas as cause of blindness (7)   1.6 Prevention and screening (12) 2 Anatomical structures in glaucoma (0)   2.1 Conjunctiva (13)   2.2 Cornea (20)   2.3 Sclera (18)   2.4 Anterior chamber angle (4)   2.5 Meshwork (0)     2.5.1 Trabecular meshwork (22)     2.5.2 Schlemms canal (1)     2.5.3 Scleral outlet channels (1)   2.6 Aqueous humor dynamics (0)     2.6.1 Production (1)     2.6.2 Outflow (3)       2.6.2.1 Trabecular meshwork (0)       2.6.2.2 Uveoscleral (0)     2.6.3 Compostion (8)   2.7 Episcleral veins and venous pressure (0)   2.8 Iris (5)   2.9 Ciliary body (0)   2.10 Lens (0)   2.11 Vitreous body (0)   2.12 Choroid, peripapillary choroid, peripapillary atrophy (16)   2.13 Retina and retinal nerve fibre layer (43)   2.14 Optic disc (50)   2.15 Optic nerve (4)   2.16 Chiasma and retrochiasmal central nervous system (11)   2.17 Stem cells (6)   2.20 Other (0) 3 Laboratory methods (0)   3.1 Microscopy (0)   3.2 Electron microscopy (0)   3.3 Immunohistochemistry (1)   3.4 Molecular genetics (0)     3.4.1 Linkage studies (2)     3.4.2 Gene studies (32)   3.5 Molecular biology incl. 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Abstract #81236 Published in IGR 20-3

Spatial and Temporal Characteristics of Visual Field Progression in Glaucoma Assessed by Parallel Factor Analysis

Kim S; Shon K; Sung KR
Korean Journal of Ophthalmology 2019; 33: 279-286

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PURPOSE: To explore spatial and temporal characteristics of glaucomatous visual field (VF) progression through multi-way decomposition of data. METHODS: Six serial VF exams with intervals of 6.0 ± 1.0 months in 121 pre-perimetric glaucoma eyes and 80 perimetric glaucoma eyes were arranged into a three-dimensional cube. The data were decomposed using parallel factor analysis. RESULTS: Three tri-linear components (i.e., spatial scores, temporal loadings, and subject-specific loadings) were identified. Component 1 clearly showed differences between superior and inferior hemispheres, linear trends over time, and wide variability in perimetric glaucoma. Findings were compatible with well-known characteristics of glaucomatous VF defects. Component 2 showed nasal and central areas in contrast with superior, inferior, and temporal peripheral locations, whereas component 3 showed a contrast between nasal and temporal hemispheres. Both components 2 and 3 failed to show clear temporal trends. CONCLUSIONS: Identification of spatio-temporal patterns shows new possibilities for a multi-way decomposition methodology for earlier diagnosis and prediction of glaucomatous VF progression.

Department of Ophthalmology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.

Full article

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Classification:

6.20 Progression (Part of: 6 Clinical examination methods)

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