Using eye tracking to simplify screening for visual field defects

Using eye tracking to simplify screening for visual field defects - Using eye tracking in screening for visual field defects

Status

Active, not recruiting

Phases

Unknown

Study type

Observational

Source

NL-OMON

Registry ID

NL-OMON46571

Enrollment

265

Registered

2018-07-12

Start date

2018-06-01

Completion date

Unknown

Last updated

2024-04-15

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

Conditions

field of vision visual field

Interventions

None listed

Eligibility

Age

18 Years to 99 Years

Inclusion criteria

Inclusion criteria: Patients: the presence of a visual field defect;

Exclusion criteria

Exclusion criteria: Patients: cognitive impairment (blind MoCA score below 18 out of 22) Healthy participants: any evidence for an eye disease/visual field loss coming from the screening or questionnaire: intraocular pressure above 21 mmHg, positive family history of glaucoma, questionnaire results that indicate the presence of any ophthalmic abnormality (exceptions are made for prescription glasses or a previous cataract extraction), cognitive impairment (blind version MoCA score below 18 out of 22)

Design outcomes

Primary

Measure	Time frame
Eye movement characteristics and changes therein over time in patients and control participants.	—

Secondary

Measure	Time frame
Viewing priority maps, calculated based on eye-movement data according to Marsman et al. (2016). Correlations between viewing priority maps and VF maps obtained using SAP. Latency and accuracy measures based on ETT, correlations between these measures and VF maps (mean deviations) obtained using SAP. Classification accuracy of the machine learning classifier.	—

Countries

Netherlands

Outcome results