Efficacy of morpho-geometrical analysis of the corneal surfaces in keratoconus disease according to moderate visual limitation
MetadataShow full item record
AuthorVelázquez Blázquez, José Sebastián; García Fernández Pacheco, Daniel; Alió del Barrio, Jorge Luis; Alió Sanz, Jorge Luciano; Cavas Martínez, Francisco
Knowledge AreaExpresión Gráfica en Ingeniería
SponsorsThis 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).
Realizado en/conUniversidad Miguel Hernández de Elche
PublisherSpringer International Publishing
Bibliographic CitationVelázquez-Blázquez JS, Fernández-Pacheco DG, Alió del Barrio J, Alió JL, Cavas-Martínez F. Efficacy of Morpho-Geometrical Analysis of the Corneal Surfaces in Keratoconus Disease According to Moderate Visual Limitation. In: Cavas-Martínez F., Sanz-Adan F., Morer Camo P., Lostado Lorza R., Santamaría Peña J. (eds) Advances in Design Engineering. INGEGRAF 2019. Lecture Notes in Mechanical Engineering. Springer, Cham. 10.1007/978-3-030-41200-5_29
KeywordsComputer-Aided Geometric Design (CAGD)
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 ...
The following license files are associated with this item: