|Title||Non-invasive assessment of corneal endothelial permeability by means of electrical impedance measurements.|
|Publication Type||Journal Article|
|Year of Publication||2010|
|Authors||Guimera, A, Ivorra, A, Gabriel, G, Villa, R|
|Journal||Medical engineering & physics|
|Pagination||1107–15. © 2010 IPEM. Published by Elsevier Ltd.|
|Keywords||Biomedical Engineering, Biomedical Engineering: methods, Corneal, Corneal: abnormalities, Corneal: metabolism, Corneal: pathology, Electric Impedance, Electric Impedance: diagnostic use, Endothelium, Finite Element Analysis, Humans, Permeability, Reproducibility of Results, Sensitivity and Specificity|
The permeability of the corneal endothelial layer has an important role in the correct function of the cornea. Since ionic permeability has a fundamental impact on the passive electrical properties of living tissues, here it is hypothesized that impedance methods can be employed for assessing the permeability of the endothelial layer in a minimally invasive fashion. Precisely, the main objective of the present study is to develop and to analyze a minimally invasive method for assessing the electrical properties of the corneal endothelium, as a possible diagnostic tool for the evaluation of patients with endothelial dysfunction. A bidimensional model consisting of the main corneal layers and a four-electrode impedance measurement setup placed on the epithelium has been implemented and analyzed by means of the finite elements method (FEM). In order to obtain a robust indicator of the permeability of the endothelium layer, the effect of the endothelium electrical properties on the measured impedance has been studied together with reasonable variations of the other model layers. Simulation results show that the impedance measurements by means of external electrodes are indeed sufficiently sensitive to the changes in the electrical properties of the endothelial layer. It is concluded that the method presented here can be employed as non-invasive method for assessing endothelial layer function.
© 2010 IPEM. Published by Elsevier Ltd.