PLSG: Partial least squares regression modelling for glaucoma detection using retinal nerve fiber layer, ganglion cell layer and visual field data

Glaucoma is a term describing a group of ocular disorders with multifactorial aetiology and chronic optic neuropathy. Whereas in former days mainly intraocular pressure and visual field testing were available for glaucoma detection and progression analysis, different imaging techniques have improved the early glaucoma detection significantly. As in our glaucoma clinic all patients are routinely having visual field test and a RNFL Scan, this study only requires an additional RGCL scan using the same OCT device (Spectralis OCT) and a RNFL and RGCL scan using a different OCT device (Cirrus, Carl Zeiss Meditec AG) and additional microperimetry (MP3, Nidek, Japan). Aim of this study is to develop a partial least squares regression model incorporating RNFL and RGCL measurements as well as visual field testing to represent a glaucoma expert opinion on the stage of glaucoma.