Non-contact tonometry: predicting intraocular pressure using a material—corneal thickness—independent methodology

Redaelli, Elena (Universidad de Zaragoza) ; Calvo, Begoña (Universidad de Zaragoza) ; Rodriguez Matas, Jose Felix ; Luraghi, Giulia ; Grasa, Jorge (Universidad de Zaragoza)

Resumen: Introduction: Glaucoma, a leading cause of blindness worldwide, is primarily caused by elevated intraocular pressure (IOP). Accurate and reliable IOP measurements are the key to diagnose the pathology in time and to provide for effective treatment strategies. The currently available methods for measuring IOP include contact and non contact tonometers (NCT), which estimate IOP based on the corneal deformation caused by an external load, that in the case of NCT is an air pulse. The deformation of the cornea during the tonometry is the result of the coupling between the IOP, the mechanical properties of the corneal tissue, the corneal thickness, and the external force applied. Therefore, there is the need to decouple the four contributions to estimate the IOP more reliably.Methods: This paper aims to propose a new methodology to estimate the IOP based on the analysis of the mechanical work performed by the air jet and by the IOP during the NCT test. A numerical eye model is presented, initially deformed by the action of a falling mass to study the energy balance. Subsequently, Fluid-Structure Interaction (FSI) simulations are conducted to simulate the action of Corvis ST.Results and discussion: The new IOP estimation procedure is proposed based on the results of the simulations. The methodology is centred on the analysis of the time of maximum apex velocity rather than the point of first applanation leading to a new IOP estimation not influenced by the geometrical and mechanical corneal factors.

Idioma: Inglés

DOI: 10.3389/fbioe.2024.1406870

Año: 2024

Publicado en: Frontiers in Bioengineering and Biotechnology 12 (2024), 1406870 [14 pp.]
ISSN: 2296-4185

Factor impacto JCR: 4.8 (2024)

Categ. JCR: BIOTECHNOLOGY & APPLIED MICROBIOLOGY rank: 31 / 177 = 0.175 (2024) - Q1 - T1
Categ. JCR: ENGINEERING, BIOMEDICAL rank: 35 / 124 = 0.282 (2024) - Q2 - T1

Factor impacto SCIMAGO: 0.974 - Biomedical Engineering (Q1) - Histology (Q1) - Biotechnology (Q1) - Bioengineering (Q2)

Financiación: info:eu-repo/grantAgreement/ES/DGA-FSE/T24-20R
Financiación: info:eu-repo/grantAgreement/EC/H2020/956720/EU/Opto-Biomechanical Eye Research Network/OBERON
Financiación: info:eu-repo/grantAgreement/ES/UZ/ICTS NANBIOSIS-U27 Unit-CIBER-BBN

Tipo y forma: Article (Published version)

Área (Departamento): Área Mec.Med.Cont. y Teor.Est. (Dpto. Ingeniería Mecánica)