NCT03365245

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

• Status: Completed
• Phase: N/A
• Study type: Interventional
• Enrollment: 19 (actual)
• Sponsor: Vienna Institute for Research in Ocular Surgery · Academic / Other
• Sex: All
• Age: 21 Years
• Healthy volunteers: Not accepted

Summary

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.

Detailed description

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.

Conditions

• Glaucoma

Interventions

Type	Name	Description
DEVICE	Microperimetry	Microperimetry is performed at three different days
DEVICE	automated visual field	Automated visual field ist performed at three different days

Timeline

• Start date: 2015-08-01
• Primary completion: 2016-11-01
• Completion: 2016-11-01
• First posted: 2017-12-07
• Last updated: 2017-12-07

Locations

1 site across 1 country: Austria