Glaucoma risk assessment using a non-linear multivariable regression method

  • Authors:

  • D. Kourkoutas;I. S. Karanasiou;G. J. Tsekouras;M. Moshos;E. Iliakis;G. Georgopoulos

  • Affiliations:

  • Department of Ophthalmology, 401 Hellenic Army General Hospital, 1 P. Kanellopoulou Avenue, 11525 Athens, Greece and Department of Ophthalmology, Glaucoma Unit, Medical School, University of Athen ...;School of Electrical and Computer Eng., Institute of Communication and Computer Systems, National Technical University of Athens, 9, Iroon Polytechniou Str, 15780, Zografou Campus, Athens, Greece;Department of Electrical Engineering and Computer Science, Hellenic Naval Academy, Terma Hatzikyriakou, Piraeus, Greece;Department of Ophthalmology, Glaucoma Unit, Medical School, University of Athens, Micras Asias 75, Goudi, Athens, Greece;Department of Ophthalmology, Glaucoma Unit, Medical School, University of Athens, Micras Asias 75, Goudi, Athens, Greece;Department of Ophthalmology, Glaucoma Unit, Medical School, University of Athens, Micras Asias 75, Goudi, Athens, Greece

  • Venue:
  • Computer Methods and Programs in Biomedicine
  • Year:
  • 2012

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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 R^2 by 35%, exhibiting thus the performance of the proposed methodology.