Corneal Elastography and Patient Specific Modeling
Overview
- Phase
- Not Applicable
- Intervention
- Not specified
- Conditions
- Cornea; Ectasia
- Sponsor
- The Cleveland Clinic
- Enrollment
- 60
- Locations
- 1
- Primary Endpoint
- Predictive accuracy of computational models in corneal surgery
- Status
- Recruiting
- Last Updated
- 6 months ago
Overview
Brief Summary
The goal of this research is to develop measurement tools and simulation technology for characterizing and predicting individual responses to corneal treatments and for advancing understanding of corneal ectasia risk factors. Patients who either 1) have keratoconus and are being evaluated for corneal crosslinking or 2) have refractive error and are being evaluated for refractive surgery procedures such as LASIK will have their eyes imaged to assess their mechanical properties and will have computational simulations performed to predict the response to treatment. One aim of the study is to test the hypothesis that computational models can predict the cornea's shape changes within clinically acceptable limits of error.
Detailed Description
The mechanical condition of the cornea is an important but elusive property of the eye to characterize. Weakness in the cornea is thought to be one of the primary causes of corneal ectasia, a major cause of visual impairment worldwide. Corneal weakness is also important to identify in refractive surgery candidates since such surgeries often involve tissue removal that could lead to corneal instability in certain predisposed patients. In this study, subjects will undergo imaging with an optical coherence tomography (OCT)-based system to characterize corneal biomechanical properties. In addition, computational representations of the eye will be built from images and interventions will be simulated and compared to actual treatment outcomes. No investigational procedures or study-specific interventions other than imaging are involved.
Investigators
William Dupps Jr., MD
Staff Physician
The Cleveland Clinic
Eligibility Criteria
Inclusion Criteria
- •Any patient with keratoconus diagnosed by standard criteria, including topographic steepness, irregular astigmatism with a pattern consistent with keratoconus.
- •Any patient deemed a candidate for LASIK (laser vision correction) and scheduled for surgery.
Exclusion Criteria
- •Inability to provide informed consent, including non-English speaking (if interpreter not available) and cognitively/mentally impaired (if legal guardian not available).
Outcomes
Primary Outcomes
Predictive accuracy of computational models in corneal surgery
Time Frame: 3 month
Computational model predictions of corneal interventions will be compared to actual clinical outcomes for each enrolled subject