Relationship between Corneal Morphogeometrical Properties and Biomechanical Parameters Derived from Dynamic Bidirectional Air Applanation Measurement Procedure in Keratoconus

Piñero, David P.; Cavas, Francisco; Mira, J.; Alió, Jorge L.

doi:10.3390/diagnostics10090640

Cited by 8 publications

(12 citation statements)

References 29 publications

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“…However, in another study, the parameters of corneal hysteresis (CH) and corneal resistance factor (CRF) were found to be correlated with morphogeometric and volumetric parameters in the corneas with keratoconus. This correlation was, however, highly influenced by the thickness of the cornea [ 54 ].…”

Section: Discussionmentioning

confidence: 99%

Preliminary Characterization of Predictive Factors of the Visual Change after Epi-On and Epi-Off Corneal Collagen Crosslinking Techniques

Abdelkader

Fernández²,

Sebastián³

et al. 2021

Journal of Ophthalmology

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Purpose. To investigate the potential predictive factors of the visual change achieved with accelerated epi-on and epi-off corneal collagen crosslinking (CXL) in keratoconus. Methods. This retrospective comparative study analyzed 67 eyes treated with an accelerated epithelium-on (epi-on group) and epithelium-off (epi-off group) CXL. The clinical outcomes were evaluated and compared during a 1-year follow-up. Likewise, the relationship of the change achieved with both CXL techniques in the corrected distance visual acuity (CDVA) with different preoperative data was investigated. Results. The mean CDVA change at 3 months postoperatively was −0.04 ± 0.19 and −0.07 ± 0.25 in the epi-on and epi-off groups, respectively ( p = 0.809). In the epi-on group, this change was significantly correlated with the preoperative apical (r = −0.375, p = 0.045) and central corneal thickness (r = −0.402, p = 0.031). In the epi-off group, the CDVA change was significantly correlated with not only the preoperative apical (r = 0.402, p = 0.028) and central corneal thickness (r = 0.367, p = 0.046) but also with some topometric and aberrometric indices (r ≤ −0.374, p ≤ 0.042). Furthermore, the change in CDVA in the epi-on group could be predicted from age, preoperative refractive astigmatism J45 component, anterior corneal asphericity, and posterior corneal high order aberration root mean square ( p = 0.002, R2 = 0.503). In the epi-off group, the CDVA change could be predicted from the preoperative minimum corneal thickness and magnitude of the vertical anterior corneal primary coma component ( p = 0.001, R2 = 0.446). Conclusions. Clearly, different predictive factors of the visual change induced with the accelerated epi-on and epi-off CXL techniques are present, suggesting a different mechanism of action for stiffening the cornea and inducing changes in this structure.

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Section: Discussionmentioning

confidence: 99%

Preliminary Characterization of Predictive Factors of the Visual Change after Epi-On and Epi-Off Corneal Collagen Crosslinking Techniques

Abdelkader

Fernández²,

Sebastián³

et al. 2021

Journal of Ophthalmology

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“…In clinical studies corneal morphogeometric variables can be obtained by CAD or finite element, and Sirius system (CSO) and for measuring corneal biomechanical properties ocular response analyzer (ORA) and Corvis ST (Oculus) devices are used. The application of these analyses are clinically relevant for diagnosis of subclinical corneal disease, and/or observing structural changes in the defected corneal after treatment (Alifa et al., 2020; Cavas et al., 2020; Cavas‐Martínez et al., 2017a; Cavas‐Martínez et al., 2017b; Cavas‐Martínez et al., 2014; Toprak, Cavas, Vega, et al., 2021; Toprak et al., 2020; Toprak et al., 2021; Velázquez et al., 2020). For example, to detect patients with keratoconus disease, a customized 3D model of the corneal structure using pathological and control groups were generated by Cavas et al.…”

Section: Scaffold‐based Methodsmentioning

confidence: 99%

“…The application of these analyses are clinically relevant for diagnosis of subclinical corneal disease, and/or observing structural changes in the defected corneal after treatment(Alifa et al, 2020;Cavas et al, 2020;Cavas-Martínez et al, 2017a;Cavas-Martínez et al, 2017b;Cavas-Martínez et al, 2014;Toprak, Cavas, Vega, et al, 2021;Toprak et al, 2020;Velázquez et al, 2020). For example, to detect patients with keratoconus disease, a customized 3D model of the corneal structure using pathological and control groups were generated byCavas et al (2020). They processed morphogeometry, volumetric factors, and biomechanical properties of the corneal structure.…”

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confidence: 99%

Emerging tissue engineering strategies for the corneal regeneration

Tafti

Aghamollaei

Moghaddam

et al. 2022

J Tissue Eng Regen Med

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Cornea as the outermost layer of the eye is at risk of various genetic and environmental diseases that can damage the cornea and impair vision. Corneal transplantation is among the most applicable surgical procedures for repairing the defected tissue. However, the scarcity of healthy tissue donations as well as transplantation failure has remained as the biggest challenges in confront of corneal grafting. Therefore, alternative approaches based on stem-cell transplantation and classic regenerative medicine have been developed for corneal regeneration. In this review, the application and limitation of the recently-used advanced approaches for regeneration of cornea are discussed. Additionally, other emerging powerful techniques such as 5D printing as a new branch of scaffold-based technologies for construction of tissues other than the cornea are highlighted and suggested as alternatives for corneal reconstruction. The introduced novel techniques may have great potential for clinical applications in corneal repair including disease modeling, 3D pattern scheming, and personalized medicine.

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“…FE models for biomechanical studies are usually constructed by means of patientspecific geometry (X-ray, Tomography, Computerized Axial Tomography (CT), Magnetic Resonance Imaging (MRI)), or by computer-aided design software [9,11,[40][41][42][43][44]. Computerized Axial Tomography or CT scan is one of the tests that are commonly used for medical imaging diagnosis [45].…”

Section: Ct Acquisition Segmentation and Image Reconstructionmentioning

confidence: 99%

Comparative Analysis of Healthy and Cam-Type Femoroacetabular Impingement (FAI) Human Hip Joints Using the Finite Element Method

et al. 2021

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In this study, a human hip joint with Cam-type Femoroacetabular Impingement (FAI) is studied by the Finite Element Method (FEM). This pathology consists of a malformation that causes a lack of sphericity of the head of the femur. In turn, this causes wear and tear of the cartilage, a cause of early osteoarthritis of the hip. The objective is to use the FEM to analyze and compare the increase in the von Mises stress and displacement of the cartilage in healthy and damaged (with Cam-type) human hip joints that this syndrome affects. The 3D models were reconstructed from two medical CT scans of a healthy and a damaged hip joint that were obtained, five years apart, for a male of 80 kg in weight. The 3D models were reconstructed using 3D Slicer software. The cortical and trabecular bone, as well as the cartilage, were segmented. The defects were corrected by MesMixer software that generated STL files. Both models were imported into the Marc Mentat® software for the Finite Element Analysis (FEA). It was noted that the thickness of the cartilage decreased enormously during the five years, which suggests imminent mechanical contact between the head of the femur and the acetabulum of the pelvis. The FEA results showed an excessive increase in the stress and displacement of the cartilage. This will certainly result in a condition of osteoarthritis for the patient in the future years.

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Relationship between Corneal Morphogeometrical Properties and Biomechanical Parameters Derived from Dynamic Bidirectional Air Applanation Measurement Procedure in Keratoconus

Cited by 8 publications

References 29 publications

Preliminary Characterization of Predictive Factors of the Visual Change after Epi-On and Epi-Off Corneal Collagen Crosslinking Techniques

Preliminary Characterization of Predictive Factors of the Visual Change after Epi-On and Epi-Off Corneal Collagen Crosslinking Techniques

Emerging tissue engineering strategies for the corneal regeneration

Comparative Analysis of Healthy and Cam-Type Femoroacetabular Impingement (FAI) Human Hip Joints Using the Finite Element Method

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