Partial Least Squares Regression Modelling for Glaucoma Detection

Partial Least Squares Regression Modelling for Glaucoma Detection Using Retinal Nerve Fiber Layer, Ganglion Cell Layer and Visual Field Data

A partial least squares regression model for visual field testing among glaucoma patients will be developed.

In addition, microperimetry will be compared to conventional perimetry and reproducibility will be assessed.

Aim of this study is to develop a partial least squares regression model incorporating retinal nerve fiber layer (RNFL) and retinal ganglion cell layer (RGCL) measurements as well as visual field testing to represent a glaucoma expert opinion on the stage of glaucoma.

In addition, microperimetry will be compared to conventional perimetry and reproducibility will be assessed.

Inclusion Criteria:

• Age 21 and older
• written informed consent prior to surgery
• any glaucoma-associated changes in one or both eyes (i.e. increased intraocular pressure, optic disc changes, known visual field defects) in the "glaucoma patients" and the absence of any glaucoma associated changes in the "healthy eyes group".

Exclusion Criteria:

• Secondary glaucoma
• In case of pregnancy (pregnancy test will be taken in women of reproductive age)