The Detection of Glaucoma Using Pupillography
| Status: | Completed |
|---|---|
| Conditions: | Ocular |
| Therapuetic Areas: | Ophthalmology |
| Healthy: | No |
| Age Range: | 40 - Any |
| Updated: | 10/14/2017 |
| Start Date: | March 2011 |
| End Date: | March 31, 2016 |
Current screening methods for glaucoma detection are not perfect and nearly half of those in
the United States with glaucoma go undiagnosed. Minority populations are even less likely to
be diagnosed. Better screening methods are needed to identify the undiagnosed and to provide
them care that can help them retain good vision.
Glaucoma is often more severe in one eye and this fact can be exploited in screening tests.
The investigators plan to use a novel screening device that very accurately records the
pupillary response from each eye. It is likely that patients with glaucoma will have abnormal
responses when measured, and by comparing responses between the two eyes the investigators
will be able to determine who has glaucoma. If this test works well, it will provide a
low-cost way to screen populations at risk for glaucoma. Furthermore, this research will
expand the knowledge base regarding how pupil responses to light differ between persons with
and without glaucoma. Insights gained from this study will be useful in the development of an
effective screening tool in the detection of glaucoma.
the United States with glaucoma go undiagnosed. Minority populations are even less likely to
be diagnosed. Better screening methods are needed to identify the undiagnosed and to provide
them care that can help them retain good vision.
Glaucoma is often more severe in one eye and this fact can be exploited in screening tests.
The investigators plan to use a novel screening device that very accurately records the
pupillary response from each eye. It is likely that patients with glaucoma will have abnormal
responses when measured, and by comparing responses between the two eyes the investigators
will be able to determine who has glaucoma. If this test works well, it will provide a
low-cost way to screen populations at risk for glaucoma. Furthermore, this research will
expand the knowledge base regarding how pupil responses to light differ between persons with
and without glaucoma. Insights gained from this study will be useful in the development of an
effective screening tool in the detection of glaucoma.
Glaucoma is often asymmetric in nature, and an afferent pupillary defect (APD) is frequently
present in persons with glaucoma. The investigators propose to conduct a clinic-based
prospective study to assess the accuracy of using a binocular pupillographic device (RAPiD,
Konan Medical, USA) to detect people with glaucoma. This device is designed to record and
analyze pupil responses at multiple, controlled stimulus intensities, while using varied
patterns and color stimuli.
The asymmetric nature of glaucoma suggests that a high proportion of persons with glaucoma
will have an APD (although many may be subtle and would be missed with less refined testing
methods). When glaucoma patients have severe nerve damage or when field loss is bilateral and
symmetric, an APD may not be present or may be too small to detect. Noting this limitation,
the investigators will compare pupillary responses to stimuli at different locations (for
example the superior compared to the inferior hemifield) to determine whether the
investigators can detect asymmetric glaucoma damage within the same eye. In addition, it is
likely that the pupil response in glaucoma will be diminished when compared to normal, which
will also help with detection.
Aim1: To examine the amplitude, latency and velocity of the pupil light reflex by optimizing
its measurement to stimuli of various intensities and colors, and to characterize the
variability of this response in normal subjects.
Aim2: To quantify the amount of structural loss (retinal nerve fiber layer thickness and
optic nerve head parameters) and functional loss (visual field mean deviation) necessary for
an APD (as detected by RAPiD) to manifest.
Aim3a: To develop an algorithm that best discriminates those with and without glaucoma by
individual or combined use of 1) detecting an APD between the two eyes, 2) comparing pupil
responses in different parts of the visual field within the same eye, and 3) comparing
responses of diseased eyes to responses of "normal" eyes.
Aim 3b: To assess the validity of this algorithm in glaucoma detection and to assess the
reproducibility of the pupil response measurements at a follow-up visit within 7 months.
present in persons with glaucoma. The investigators propose to conduct a clinic-based
prospective study to assess the accuracy of using a binocular pupillographic device (RAPiD,
Konan Medical, USA) to detect people with glaucoma. This device is designed to record and
analyze pupil responses at multiple, controlled stimulus intensities, while using varied
patterns and color stimuli.
The asymmetric nature of glaucoma suggests that a high proportion of persons with glaucoma
will have an APD (although many may be subtle and would be missed with less refined testing
methods). When glaucoma patients have severe nerve damage or when field loss is bilateral and
symmetric, an APD may not be present or may be too small to detect. Noting this limitation,
the investigators will compare pupillary responses to stimuli at different locations (for
example the superior compared to the inferior hemifield) to determine whether the
investigators can detect asymmetric glaucoma damage within the same eye. In addition, it is
likely that the pupil response in glaucoma will be diminished when compared to normal, which
will also help with detection.
Aim1: To examine the amplitude, latency and velocity of the pupil light reflex by optimizing
its measurement to stimuli of various intensities and colors, and to characterize the
variability of this response in normal subjects.
Aim2: To quantify the amount of structural loss (retinal nerve fiber layer thickness and
optic nerve head parameters) and functional loss (visual field mean deviation) necessary for
an APD (as detected by RAPiD) to manifest.
Aim3a: To develop an algorithm that best discriminates those with and without glaucoma by
individual or combined use of 1) detecting an APD between the two eyes, 2) comparing pupil
responses in different parts of the visual field within the same eye, and 3) comparing
responses of diseased eyes to responses of "normal" eyes.
Aim 3b: To assess the validity of this algorithm in glaucoma detection and to assess the
reproducibility of the pupil response measurements at a follow-up visit within 7 months.
Inclusion Criteria:
- Age 40 years or older at enrollment
- Presenting visual acuity better than 20/100 in both eyes
- Spherical equivalent refractive error within the range of 4.0 and -6.0 diopters in
both eyes
Exclusion Criteria:
- Ocular surgery in either eye within 3 months
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