| Summary: | 碩士 === 臺灣大學 === 預防醫學研究所 === 95 === Purpose: Because the optic disc morphology of myopia is frequently similar to the glaucomatous disc, it is a challenge for ophthalmologists to differentiate myopia form glaucoma. Myopia-related visual dysfunction, which is considered as results of eyeball elongation or optic quality deterioration, may mimic other diseases such as glaucoma. This study is to evaluate whether high myopia patients may demonstrate poorer visual field results obtained from the Humphrey Matrix frequency doubling perimetry (FDP).
Method: Ninety-one healthy volunteers between the ages of 18 to 40 were participated in this study. All subjects first received a whole panel of ophthalmic examinations including slit lamp exam, autorefraction, intraocular pressure, central corneal thickness, axial length measurement, and fundus photography. The subjects with diabetes, cataract, corneal opacity, retinal and neuro-ophthalmic pathology, cup-to-disc ratio greater than 0.5, bilateral cup-to-disc ratio asymmetry greater than 0.2, wedge or diffuse retinal nerve fibers defect, intraocular pressure greater than 21 mmHg, astigmatism greater than 2 diopters, and best corrected visual acuity less than 1.0 were excluded from the study. Eighty qualified subjects were further examined on contrast sensitivity and the Humphrey Matrix FDP full-threshold C30-2 program. Finally, onne hundred and fifty-one eyes from 80 subjects were included in data analysis. According to spherical equivalent and axial length parameters, we classified the subjects into low, intermediate and high myopia groups. Due to the correlation of right and left eye from the same subject, we used the randome effect of linear mixed model to capture the correlation. The mean deviation (MD), pattern standard deviation (PSD), and other variables obtained from the three groups were compared using linear mixed model. The association between the myopia indices (i.e. spherical equivalent and axial length) and the visual field indices (i.e. MD and PSD) were also analyzed by linear mixed model.
Results: The average age of participated patients is 29.6
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