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Efficacy of Morpho-Geometrical Analysis of the Corneal Surfaces in Keratoconus Disease According to Moderate Visual Limitation

  • J. S. Velázquez-Blázquez
  • D. G. Fernández-Pacheco
  • J. Alió del Barrio
  • J. L. Alió
  • F. Cavas-MartínezEmail author
Conference paper
  • 133 Downloads
Part of the Lecture Notes in Mechanical Engineering book series (LNME)

Abstract

The cornea is a complex hemispheric structure, made of collagen fibres that provide it a homogenous and stable geometry. During keratoconus disease, a loss of tenacity takes place in the collagen fibres that form the corneal structure, producing an alteration of its geometry, this is, a change of its curvature, and therefore, a loss of visual quality of patients. The geometric characterization of the hemispheric structure by means of biometric parameters is a very solid technique of diagnosis, based in a virtual 3D model, which has already been validated for several degrees of severity of keratoconus pathology. In this prospective comparative study, 93 corneas (50 healthy subjects and 43 patients with keratoconus with moderate visual limitation) were geometrically modelled. The results obtained in this work suggest that the best predictive biometric parameters are anterior corneal surface area and posterior apex deviation, and that the strongest correlation is produced between sagittal plane apex area in minimum thickness point and sagittal plane apex area. The studied biometric parameters have shown significant differences between groups. Therefore, the analysis of the biometric parameters that register the geometric decompensation that locally appear in a corneal region, as a response to the asymmetry produced during the development of keratoconus disease with a moderate visual impairment, is a new approach that may lead to a better understanding of the disease with this degree of optical limitation.

Keywords

Computer-Aided Geometric Design (CAGD) Optical Aberrometry Scheimpflug 3D modelling 

Notes

Funding

This publication has been carried out in the framework of the Thematic Network for Co-Operative Research in Health (RETICS) reference number RD16/0008/0012 financed by the Carlos III Health Institute-General Subdirection of Networks and Cooperative Investigation Centres (R&D&I National Plan 2013–2016) and the European Regional Development Fund (FEDER).

Conflict of Interest

The authors have no conflict of interest to declare.

Financial Disclosure.

Neither author has a financial or proprietary interest in any material or method mentioned.

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Department of Structures, Construction and Graphical ExpressionTechnical University of CartagenaCartagenaSpain
  2. 2.Keratoconus Unit of Vissum Corporation AlicanteAlicanteSpain
  3. 3.Department of OphthalmologyMiguel Hernández University of ElcheAlicanteSpain

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