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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
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT03365245
Enrollment
19
Registered
2017-12-07
Start date
2015-08-31
Completion date
2016-11-30
Last updated
2017-12-07

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Glaucoma

Brief 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.

Interventions

Microperimetry is performed at three different days

Automated visual field ist performed at three different days

Sponsors

Vienna Institute for Research in Ocular Surgery
Lead SponsorOTHER

Study design

Allocation
NA
Intervention model
SINGLE_GROUP
Primary purpose
DIAGNOSTIC
Masking
NONE

Eligibility

Sex/Gender
ALL
Age
21 Years to No maximum
Healthy volunteers
No

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)

Design outcomes

Primary

MeasureTime frameDescription
partial least square regressionone monthDevelopment of a partial least squares regression model to detect glaucoma

Secondary

MeasureTime frameDescription
reproducibilityone monthComparison of reproducibility of microperimetry and visual field testing
Retinal nerve fiber thickness (RNFL) and the the retinal ganglion cell layer (RGCL)one monthThe retinal nerve fiber layer thickness and the thickness of the retinal ganglion cell layer will be compared
Microperimetry versus visual field testingone monthComparison of microperimetry and visual field testing

Countries

Austria

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026