Glaucoma risk assessment using a non-linear multivariable regression method

Kourkoutas, D; Karanasiou, IS; Tsekouras, GJ; Moshos, M; Iliakis, E; Georgopoulos, G

dc.contributor.author	Kourkoutas, D	en
dc.contributor.author	Karanasiou, IS	en
dc.contributor.author	Tsekouras, GJ	en
dc.contributor.author	Moshos, M	en
dc.contributor.author	Iliakis, E	en
dc.contributor.author	Georgopoulos, G	en
dc.date.accessioned	2014-03-01T11:46:59Z
dc.date.available	2014-03-01T11:46:59Z
dc.date.issued	2012	en
dc.identifier.issn	01692607	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/38054
dc.subject	Central corneal thickness	en
dc.subject	Glaucoma	en
dc.subject	Heidelberg Retina Tomograph II	en
dc.subject	Non-linear multivariable regression model	en
dc.title	Glaucoma risk assessment using a non-linear multivariable regression method	en
heal.type	other	en
heal.identifier.primary	10.1016/j.cmpb.2012.08.004	en
heal.identifier.secondary	http://dx.doi.org/10.1016/j.cmpb.2012.08.004	en
heal.publicationDate	2012	en
heal.abstract	The present research investigates the relationship between the central corneal thickness (CCT), Heidelberg Retina Tomograph II (HRTII) structural measurements and intraocular pressure (IOP) using an innovative non-linear multivariable regression method in order to define the risk factors in future glaucoma development and patient management. The method is implemented to data from ninety-three open angle glaucoma eyes. The results show that in established glaucoma, CCT is significantly associated with HRTII structural measurements (maximum contour depression, cup volume inferotemporally) and IOP. They are also compared to those obtained from the application of standard linear regression methods, improving the coefficient determination R2 by 35%, exhibiting thus the performance of the proposed methodology. © 2012 Elsevier Ireland Ltd. All rights reserved.	en
heal.journalName	Computer Methods and Programs in Biomedicine	en
dc.identifier.doi	10.1016/j.cmpb.2012.08.004	en