This application describes a five year longitudinal study of structural change in primary open angle glaucoma. This study will evaluate whether clinical evaluation with confocal scanning laser imaging an improve the detection of glaucomatous optic nerve damage and change.
Specific Aims : 1. To evaluate and compare photographic and confocal scanning laser imaging techniques to detect optic and retinal nerve fiber layer damage and change. 2. To determine the quantitative temporal relationships between recognizable optic nerve damage and measurable visual field loss and how these relationships differ among patients. 3. To quantify age-related changes in the optic nerve in normal healthy eyes. Methods: This study will include 300 subjects aged 40 and older; 100 patients with primary open angle glaucoma, and 100 White and 100 African American normal controls. Each subject will have a complete ophthalmologic and visual field examination annually. Images of the optic nerve will be obtained using photographic techniques (optic disc and retinal nerve fiber layer photography), confocal laser scanning ophthalmoscopy to determine optic disc and perpipapillary topography, and confocal scanning laser polarimetry to determine nerve fiber layer thickness. These data will be evaluated qualitatively and quantitatively for evidence o glaucomatous damage and change. This study will evaluate whether these advances in fundus imaging technology can improve the precision with which we can differentiate between normal and glaucoma eyes, and can detect and monitor glaucomatous optic neuropathy.

Agency
National Institute of Health (NIH)
Institute
National Eye Institute (NEI)
Type
Research Project (R01)
Project #
5R01EY011008-09
Application #
6650284
Study Section
Special Emphasis Panel (ZEY1-VSN (04))
Program Officer
Liberman, Ellen S
Project Start
1995-04-01
Project End
2005-08-31
Budget Start
2003-09-01
Budget End
2004-08-31
Support Year
9
Fiscal Year
2003
Total Cost
$431,075
Indirect Cost
Name
University of California San Diego
Department
Ophthalmology
Type
Schools of Medicine
DUNS #
804355790
City
La Jolla
State
CA
Country
United States
Zip Code
92093
Khawaja, Anthony P; Cooke Bailey, Jessica N; Wareham, Nicholas J et al. (2018) Genome-wide analyses identify 68 new loci associated with intraocular pressure and improve risk prediction for primary open-angle glaucoma. Nat Genet 50:778-782
Hou, Huiyuan; Moghimi, Sasan; Zangwill, Linda M et al. (2018) Inter-eye Asymmetry of Optical Coherence Tomography Angiography Vessel Density in Bilateral Glaucoma, Glaucoma Suspect, and Healthy Eyes. Am J Ophthalmol 190:69-77
Hou, Huiyuan; Shoji, Takuhei; Zangwill, Linda M et al. (2018) Progression of Primary Open-Angle Glaucoma in Diabetic and Nondiabetic Patients. Am J Ophthalmol 189:1-9
Christopher, Mark; Belghith, Akram; Bowd, Christopher et al. (2018) Performance of Deep Learning Architectures and Transfer Learning for Detecting Glaucomatous Optic Neuropathy in Fundus Photographs. Sci Rep 8:16685
Bowd, Christopher; Zangwill, Linda M; Weinreb, Robert N et al. (2018) Racial Differences in Rate of Change of Spectral-Domain Optical Coherence Tomography-Measured Minimum Rim Width and Retinal Nerve Fiber Layer Thickness. Am J Ophthalmol 196:154-164
Mundae, Rusdeep S; Zangwill, Linda M; Kabbara, Sami W et al. (2018) A Longitudinal Analysis of Peripapillary Choroidal Thinning in Healthy and Glaucoma Subjects. Am J Ophthalmol 186:89-95
Wu, Zhichao; Medeiros, Felipe A; Weinreb, Robert N et al. (2018) Performance of the 10-2 and 24-2 Visual Field Tests for Detecting Central Visual Field Abnormalities in Glaucoma. Am J Ophthalmol 196:10-17
Manalastas, Patricia Isabel C; Belghith, Akram; Weinreb, Robert N et al. (2018) Automated Beta Zone Parapapillary Area Measurement to Differentiate Between Healthy and Glaucoma Eyes. Am J Ophthalmol 191:140-148
Suh, Min Hee; Zangwill, Linda M; Manalastas, Patricia Isabel C et al. (2018) Deep-Layer Microvasculature Dropout by Optical Coherence Tomography Angiography and Microstructure of Parapapillary Atrophy. Invest Ophthalmol Vis Sci 59:1995-2004
Murata, Hiroshi; Zangwill, Linda M; Fujino, Yuri et al. (2018) Validating Variational Bayes Linear Regression Method With Multi-Central Datasets. Invest Ophthalmol Vis Sci 59:1897-1904

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