Functional and Structural Imaging for Glaucoma (FSOCT)
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|ClinicalTrials.gov Identifier: NCT01957267|
Recruitment Status : Recruiting
First Posted : October 8, 2013
Last Update Posted : May 2, 2019
The specific aims of the clinical studies are to:
- Develop quantitative wide-field OCT angiography.
- Simulate visual field results by combining structural and angiography OCT data.
- Establish or validate age-adjusted normal reference ranges for above OCT-derived parameters.
- Establish criteria for glaucoma diagnosis based on above imaging-derived parameters.
- Evaluate the sensitivity and specificity of above OCT-derived parameters
- Measure the rate of normal age-related change in above OCT-derived parameters.
- Assess the reproducibility of above OCT-derived parameters.
- Assess abilities of above OCT-derived parameters on predicting glaucoma conversion and progression.
|Condition or disease|
Glaucoma is the second leading cause of blindness in the US. The diagnosis and monitoring of glaucoma are important problems, not only because of its prevalence, but also because of its silent and irreversible nature. However all of the current diagnostic tests have serious limitations. Although elevated intraocular pressure (IOP) is a risk factor, most glaucoma patients actually have IOP within normal range. Visual field (VF) tests are poorly reproducible, and a series of 3 tests are needed to establish diagnosis or confirm progression. Although ophthalmoscopic examination can detect optic nerve head (ONH) and nerve fiber layer (NFL) defects, reliability in diagnosis and tracking is hampered by its subjective and semi-quantitative nature. Although quantitative imaging with optical coherence tomography (OCT), scanning laser polarimetry (SLP), and confocal scanning laser ophthalmoscopy (cSLO) can more objectively detect ONH and NFL defects, their diagnostic accuracies are still not sufficient to be relied on alone for diagnostic screening. It has been estimated that about half of glaucoma patients in the US do not know that they have the disease. Thus, there is a need for improvements in glaucoma diagnostic technologies. One approach that deserves further exploration is blood flow imaging.
There is much circumstantial evidence that vascular factors play important roles in the pathophysiology of glaucoma:
- Systemic vasculopathy increases the risk of developing glaucoma. Hypertension, diabetes, and vasospastic conditions are all known risk factors. Normal tension glaucoma has also been linked to peripheral endothelial dysfunction and erectile dysfunction. This suggests that poor circulation may be a causative factor or a facilitative factor that predisposes the ONH to damage by elevated IOP.
- Decrease or fluctuation in ocular perfusion pressure was identified as an independent risk factor for progression in the Collaborative Normal-Tension Glaucoma Study and other studies. Nocturnal hypotension is also a risk factor for glaucoma progression.
- Medications that improve ocular perfusion appear to have protective effects that are not explained by the lowering of IOP.
- Optic disc hemorrhage and peripapillary atrophy are both associated with accelerated glaucoma progression. These finding may support a role for focal ischemia.
- Animal experiments show that increased IOP causes decreased ONH blood flow in the presence of low systemic blood pressure.
Despite the evidence, the management of glaucoma remains focused on the lowering of IOP, the one causative factor that responds to treatment and can be easily measured. Blood flow measurement is a research topic, but currently has no clinical role in the diagnosis, prognostic evaluation, or treatment of glaucoma. Therapies aimed at improving ocular circulation cannot be effectively developed without a practical method for quantitative and reproducible evaluation of ONH and retinal perfusion. Thus there is a great need to develop better technology for the evaluation of ocular circulation.
Using high-speed OCT systems, we have developed new methods to image and measure optic nerve head (ONH) and retinal blood flow. Preliminary results showed that VF loss was more highly correlated with retinal blood flow as measured by OCT than any neural structure measured by OCT or other imaging modality. Accordingly, the goal of the proposed project is to improve the diagnostic and prognostic evaluation of glaucoma by further developing novel functional OCT measurements using ultrahigh-speed (70-100 kHz) OCT technology.
Retinal blood flow, ONH circulation, optic disc rim volume, peripapillary nerve fiber layer volume, and macular ganglion cell complex volume are all pieces of the same glaucoma puzzle. This project will develop novel imaging methods that allow us to look at the whole picture using one tool - ultrahigh-speed OCT.
|Study Type :||Observational|
|Estimated Enrollment :||160 participants|
|Official Title:||Longitudinal Observational Study Using Functional and Structural Optical Coherence Tomography to Diagnose and Guide Treatment of Glaucoma|
|Study Start Date :||September 2013|
|Estimated Primary Completion Date :||December 2022|
|Estimated Study Completion Date :||December 2022|
Patients with clinically confirmed glaucomatous ONH or NFL defects, with or without VF abnormalities
Volunteers with healthy eyes
- Measure of retinal non-perfusion areas in mm2 [ Time Frame: 5 years ]
- Measure vessel density in percentage (%) [ Time Frame: 5 years ]
- Determine accuracy of sector visual field progression in OCT-based sector visual field simulation compared to actual visual field results. Measured in dB change over time. [ Time Frame: 5 years ]
To learn more about this study, you or your doctor may contact the study research staff using the contact information provided by the sponsor.
Please refer to this study by its ClinicalTrials.gov identifier (NCT number): NCT01957267
|Contact: Humberto Martinez, COTfirstname.lastname@example.org|
|Contact: Denzil Romfh, ODemail@example.com|
|United States, Oregon|
|Oregon Health & Science University, Casey Eye Institute||Recruiting|
|Portland, Oregon, United States, 97214|
|Contact: Humberto Martinez, COT 503-494-7712 firstname.lastname@example.org|
|Contact: Denzil Romfh, OD 503-494-4351 email@example.com|
|Sub-Investigator: Beth Edmunds, MD, PhD|
|Sub-Investigator: Shandiz Tehrani, MD|
|Sub-Investigator: Hana Takusagawa, MD|
|Sub-Investigator: Lorinna Lombardi, MD|
|Sub-Investigator: David Huang, MD, PhD|
|Sub-Investigator: Ellen Davis, MD|
|Sub-Investigator: Seema Gupta, MD|
|Sub-Investigator: Aiyin Chen, MD|
|Sub-Investigator: Eleisa Ing, MD|
|Principal Investigator:||John Morrison, MD||Oregon Health and Science University|