Glaucoma is the second most common cause of blindness worldwide. Our broad, long-term objectives are to investigate innovative technologies and methods that will accurately and reproducibly provide the earliest possible evidence of glaucoma and its progression so as to prevent blindness. We have improved on the program that we have pursued for the past ten years in a number of ways, but importantly we have assembled a unique collaborative group for this project. This team includes ophthalmologists, engineers, computer scientists and statisticians, as well as appropriate support personnel, from the University of Pittsburgh, Tufts University, Massachusetts Institute of Technology and Carnegie Mellon University. We have brought excellent investigators from disparate fields to bring new insights, knowledge and skills from outside of ophthalmology to bear on innovations in technology for glaucoma disease and progression detection. We will accomplish this via cross-sectional and longitudinal studies using cohorts of healthy, glaucoma suspect and glaucomatous subjects.
Our Specific Aims are to (1) detect the earliest possible evidence of glaucomatous damage and progression. We will compare objective, quantitative ocular structural measurements obtained by ocular imaging and functional measurements, to test the prediction that changes structural functional change, and to characterize those changes, (2) advance optical coherence tomography (OCT) software innovations that assess the intra-retinal layers in the peripapillary and macular areas as well as the optic nerve head (ONH).
This aim i ncludes employing innovative image processing and image analysis techniques, as well as new techniques to improve scan quality post hoc, (3) identify the particular clusters of clinical characteristics distinct to specific glaucoma diagnostic technologies resulting in the earliest detection of glaucoma and its progression. We will use innovative automated machine classifiers and state-of-the-art statistical methods which use the best combination of parameters generated by the imaging devices in order to determine the optimal use of each device in assessing disease and progression, (4) advance micron-scale tomographic imaging using OCT for improved understanding of the anatomical and biomechanical properties of the ONH and intra-retinal substructure in the macular and peripapillary regions in health and in glaucoma. These are key areas involved in the glaucomatous process. This experiment is designed to improve our understanding of glaucoma and potentially create a new glaucoma diagnostic. Swept-source and ultra-high speed spectral- domain OCT will be used to obtain detailed information in the ONH, lamina cribrosa and retina. Rapid image acquisition by these devices will minimize OCT scanning artifact, and modulation of OCT light source wavelengths will allow optimization of imaging at various tissue depths. We expect that these studies will lead to our ability to detect glaucoma and its progression earlier than ever before with high sensitivity and specificity, enabling early intervention to prevent glaucoma blindness.

Public Health Relevance

The goal of this proposal is to optimize the use of objective, non-invasive, non-contact imaging technologies for the detection and monitoring of glaucoma in order to prevent blindness. Cohorts of healthy subjects, subjects suspected of having glaucoma and subjects with glaucoma will be followed over time;we will use imaging data to detect the earliest possible evidence of glaucomatous changes through software innovations, novel analysis methods and new scanning techniques.

Agency
National Institute of Health (NIH)
Institute
National Eye Institute (NEI)
Type
Research Project (R01)
Project #
2R01EY013178-11
Application #
7777998
Study Section
Anterior Eye Disease Study Section (AED)
Program Officer
Agarwal, Neeraj
Project Start
2000-08-01
Project End
2014-07-31
Budget Start
2010-08-01
Budget End
2011-07-31
Support Year
11
Fiscal Year
2010
Total Cost
$813,222
Indirect Cost
Name
University of Pittsburgh
Department
Ophthalmology
Type
Schools of Medicine
DUNS #
004514360
City
Pittsburgh
State
PA
Country
United States
Zip Code
15213
Dong, Zachary M; Wollstein, Gadi; Wang, Bo et al. (2017) Adaptive optics optical coherence tomography in glaucoma. Prog Retin Eye Res 57:76-88
Voorhees, Andrew P; Ho, Leon C; Jan, Ning-Jiun et al. (2017) Whole-globe biomechanics using high-field MRI. Exp Eye Res 160:85-95
Jan, Ning-Jiun; Gomez, Celeste; Moed, Saundria et al. (2017) Microstructural Crimp of the Lamina Cribrosa and Peripapillary Sclera Collagen Fibers. Invest Ophthalmol Vis Sci 58:3378-3388
Zhang, Xinbo; Dastiridou, Anna; Francis, Brian A et al. (2017) Comparison of Glaucoma Progression Detection by Optical Coherence Tomography and Visual Field. Am J Ophthalmol 184:63-74
Baniasadi, Neda; Wang, Mengyu; Wang, Hui et al. (2017) Associations between Optic Nerve Head-Related Anatomical Parameters and Refractive Error over the Full Range of Glaucoma Severity. Transl Vis Sci Technol 6:9
Pant, Anup D; Kagemann, Larry; Schuman, Joel S et al. (2017) An imaged-based inverse finite element method to determine in-vivo mechanical properties of the human trabecular meshwork. J Model Ophthalmol 1:100-111
Tieger, Marisa G; Hedges 3rd, Thomas R; Ho, Joseph et al. (2017) Ganglion Cell Complex Loss in Chiasmal Compression by Brain Tumors. J Neuroophthalmol 37:7-12
Wang, Bo; Lucy, Katie A; Schuman, Joel S et al. (2017) Location of the Central Retinal Vessel Trunk in the Laminar and Prelaminar Tissue of Healthy and Glaucomatous Eyes. Sci Rep 7:9930
Yu, Jaesok; Schuman, Joel S; Lee, Jung-Kun et al. (2017) A Light Illumination Enhancement Device for Photoacoustic Imaging: In Vivo Animal Study. IEEE Trans Ultrason Ferroelectr Freq Control 64:1205-1211
Tran, Huong; Jan, Ning-Jiun; Hu, Danielle et al. (2017) Formalin Fixation and Cryosectioning Cause Only Minimal Changes in Shape or Size of Ocular Tissues. Sci Rep 7:12065

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