Glaucoma is a leading cause of visual impairment and, if untreated, irreversible blindness. Perimetry is the clinical tool for assessing the functional ‘seeing’ part of the field of view (visual field) and is widely used in the detection and clinical monitoring of glaucoma. These measurements rely on a psychophysical response making them inherently variable. This measurement noise can disguise both disease pathology and progression. The work described in this thesis aims to improve the quality of perimetric measurements. The platform for this is the Moorfields Motion Displacement Test (MMDT), a perimetric test that uses unconventional test stimuli and can be delivered on an ordinary computer monitor. Specifically, this thesis describes efforts to develop novel, mathematically derived, test algorithms, designed to be used with the MMDT. The performance of these new testing methods is assessed using pilot studies involving patients and visually healthy people, computer simulation and interim results from a large prospective clinical study. One of these test algorithms, the Enhanced Suprathreshold Testing Algorithm [ESTA] provides shorter test duration, making it attractive for case-finding and screening for glaucoma, without seemingly negatively affecting diagnostic precision, and has become patented technology. Another bespoke test algorithm (Weighted Binary Search; WEBS) provides a threshold test for the MMDT. The thesis also describes a study examining the resistance of several newer clinical perimetric instruments to the optical artefact of stray light that might be caused by media opacity. This is clinically important because cataract and degraded optical media is a leading cause of false-referral for glaucoma. This work, being the first of its kind, indicates that the MMDT has greater resilience to simulated effects of media opacity compared with other clinically used devices.
| Identifer | oai:union.ndltd.org:bl.uk/oai:ethos.bl.uk:553732 |
| Date | January 2011 |
| Creators | Bergin, Ciara |
| Publisher | City University London |
| Source Sets | Ethos UK |
| Detected Language | English |
| Type | Electronic Thesis or Dissertation |
| Source | http://openaccess.city.ac.uk/930/ |
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