Partial Least Squares Regression Modelling for Glaucoma Detection

Vienna Institute for Research in Ocular Surgery

Status: Completed

Conditions: Glaucoma

Treatments: Device: automated visual field; Device: Microperimetry

Study type: Interventional

Funder types: Other

Identifiers

NCT03365245

PLSR

Details and patient eligibility

About

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.

Full 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.

Enrollment: 19 patients

Sex: All

Ages: 21+ years old

Volunteers: No Healthy Volunteers

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)

Trial design

Primary purpose: Diagnostic

Allocation: N/A

Interventional model: Single Group Assignment

Masking: None (Open label)

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19 participants in 1 patient group

study arm

Other group

Description:

Microperimetry and automated visual field are performed at three different days

Treatment:

Device: Microperimetry

Device: automated visual field