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.
Study Type
INTERVENTIONAL
Allocation
NA
Purpose
DIAGNOSTIC
Masking
NONE
Enrollment
19
Microperimetry is performed at three different days
Automated visual field ist performed at three different days
VIROS
Vienna, Austria
partial least square regression
Development of a partial least squares regression model to detect glaucoma
Time frame: one month
reproducibility
Comparison of reproducibility of microperimetry and visual field testing
Time frame: one month
Retinal nerve fiber thickness (RNFL) and the the retinal ganglion cell layer (RGCL)
The retinal nerve fiber layer thickness and the thickness of the retinal ganglion cell layer will be compared
Time frame: one month
Microperimetry versus visual field testing
Comparison of microperimetry and visual field testing
Time frame: one month
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