Establishing the diagnosis of a disease that can impact the vision and life of a patient (such as keratoconus) is a moment of great responsibility. Therefore, ophthalmology has been looking for to integrate the results provided by the most recent high-tech equipment to try to develop a Super Index capable of determining the presence or absence of this disease with the lowest chance of error. The bad side of this strategy is the high cost of performing multiple and sophisticated exams. However, in moderate and advanced cases, the use of simple and cheap exams may be enough to diagnose keratoconus accurately. Therefore, a multimodal analysis based only on topography and pachymetry was suggested to determine if the disease exists or not, with good sensitivity and specificity. In this way, few patients (especially those with early stages of the disease) will need to be referred for a more detailed evaluation through expensive tests.
Albertazzi R. Queratocono: pautas para su diagnóstico y tratamiento. Buenos Aires: Ediciones Científicas Argentinas; 2010.
Ambrósio R Jr, Valbon BF, Faria-Correia F, Ramos I, Luz A. Scheimpflug imaging for laser refractive surgery. Curr Opin Ophthalmol. 2013;24(4):310-20. Review.
Faria-Correia F, Ambrósio Jr R. Clinical applications of the Scheimpflug principle in Ophthalmology. Rev Bras Oftalmol. 2016;75(2):160-5.
Fernández-Vega Cueto L. Clasificación del queratocono para su corrección quirúrgica con segmentos de anillo intracorneales tipo ferrara. Tese de Doutorado. Universidad de Oviedo - España. 2016. https://portalinvestigacion.uniovi.es/investigadores/217605/tesis?lang=en
Gatinel, D. Indices and Screening Tests for Subclinical Keratoconus. In: Febbraro, JL., Khan, H., Koch, D. (eds) Surgical Correction of Astigmatism, Springer, Cham, 2018. https://doi.org/10.1007/978-3-319-56565-1_8
Maeda N, Klyce SD, Smolek MK, Thompson HW. Automated keratoconus screening with corneal topography analysis. Invest Ophtalmol Vis Sci 1994; 35:2749-57.