Purpose: To examine whether a microperimetry testing strategy based on quantifying the spatial extent of functional abnormalities (termed ‘‘defect-mapping’’ strategy) could improve the detection of progressive changes in deep scotomas compared to the conventional thresholding strategy. Methods: A total of 30 healthy participants underwent two microperimetry examinations, each using the defect-mapping and thresholding strategies at the first visit to examine the test–retest variability of each method. Testing was performed using an isotropic stimulus pattern centered on the optic nerve head (ONH), which acted as a model of a deep scotoma. These tests were repeated at a second visit, except using a smaller stimulus pattern and thereby increasing the proportion of test locations falling within the ONH (to simulate the progressive enlargement of a deep scotoma). The extent of change detected between visits relative to measurement variability was compared between the two strategies. Results: Relative to their effective dynamic ranges, the test–retest variability of the defect-mapping strategy (1.8%) was significantly lower compared to the thresholding strategy (3.3%; P < 0.001). The defect-mapping strategy also captured a significantly greater extent of change between visits relative to variability ( 4.70 t1) compared to the thresholding strategy (2.74 t1; P < 0.001). Conclusions: A defect-mapping microperimetry testing strategy shows promise for capturing the progressive enlargement of deep scotomas more effectively than the conventional thresholding strategy. Translational Relevance: Microperimetry testing with the defect-mapping strategy could provide a more accurate clinical trial outcome measure for capturing progressive changes in deep scotomas in eyes with atrophic retinal diseases, warranting further investigations.
CITATION STYLE
Wu, Z., Cimetta, R., Caruso, E., & Guymer, R. H. (2019). Performance of a defect-mapping microperimetry approach for characterizing progressive changes in deep scotomas. Translational Vision Science and Technology, 8(4). https://doi.org/10.1167/tvst.8.4.16
Mendeley helps you to discover research relevant for your work.