Characterization of corneal biomechanical properties and determination of natural intraocular pressure using CID-GAT

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Abstract

Purpose: The intraocular pressure (IOP) measured using Goldmann Applanation Tonometry (GAT) is confounded by individual corneal properties. We investigated a modified method that removes the confoundment by incorporating corneal properties into the Imbert-Fick’s law is investigated. Method: Porcine eyes were pressurized between 10 and 40 mm Hg using a manometer. The eyes were indented using a flat cylindrical indenter. A modified corneal indentation device (CID) procedure was used to obtain the corneal moduli Eqs. The calculated IOPNC from the Imbert-Fick’s Law using the corneal moduli Eqs was compared to the natural IOPN, measured using pressure sensor inserted into the eye. Results: Test results showed that IOP-dependent corneal modulus Eqs is a primary confounding factor in IOP calculation. The average elastic modulus Eqs is 0.173 ± 0.018 MPa at 20 mm Hg, and increases with IOP at a linear rate of 0.0066 MPa per mm Hg (r = 0.997, P < 0.001). Incorporation of individual Eqs into IOPNC calculation showed that IOPNC are in good agreement with reference IOPN (slope = 0.999, r = 0.939, P < 0.001). Conclusions: The IOP-dependent corneal modulus Eqs is a primary confounding factor in IOP calculation. A modified CID-GAT procedure to obtain natural cornea-independent IOPNC is developed and verified in this study. The CID-GAT IOP modification may be used in place of conventional GAT when the confounding effects in eyes with atypical cornea (e.g., laser-assisted in situ keratomileusis [LASIK] thinned) are significant. Translational Relevance: Confoundment from corneal properties results in IOP measurement errors. The study showed that the CID-GAT method can significantly reduce the confounding corneal errors.

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Lu, S. H., Chong, I. T., Leung, S. Y. Y., & Lam, D. C. C. (2019). Characterization of corneal biomechanical properties and determination of natural intraocular pressure using CID-GAT. Translational Vision Science and Technology, 8(5). https://doi.org/10.1167/tvst.8.5.10

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