Abstract
The visual field test can be used to examine visual field impairment or diagnose the progression of ophthalmologic diseases such as glaucoma. Visual field impairment is related to optic nerve impairment. The doctor's views of optic nerve impairments are based on optic discs and retinal nerve fiber layers. In this research, we developed glaucoma diagnosis software, applied a semantic differential method, and calculated the glaucoma probability using multivariate analysis. The software is capable of receiving perimetric Humphrey perimeter data. Visual field tests were performed on 7 eyes of 7 patients with glaucoma, and we calculated their glaucoma probability. The fundus photography was performed in 6 eyes of 6 healthy persons. We used the software to measure the number of pixels in an image, and it also calculated their cup/disc ratios, the size and area of the disc and cup, and so on. We surveyed the correlation between glaucoma probability and the Collaborative Initial Glaucoma Treatment Study (CIGTS). The correlation coefficient was 0.881, which shows significant correlation between these two factors. The vertical cup/disc ratio was 0.79±0.04, and the horizontal cup/disc ratio 0.75±0.03. The disc area was 28031±4946, and that of the cup was 16075±2383: the average ±standard deviation. We established a questionnaire dialog using the semantic differential method and adopted scrollbars to the questionnaire dialog to reflect the doctor's delicate meanings.
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