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Abstract #13599 Published in IGR 8-2

Analysis of the thickness of the retinal nerve fiber layer of myopic eyes

Xu Y-E; Wu X-Y; Liu S-Z; Xia X-B; Wang Y-K
International Journal of Ophthalmology 2006; 6: 116-118

See also comment(s) by Tetsuya Yamamoto •

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AIM: To explore the impact of the myopic upon the thickness of the retinal nerve fiber by analyzing the thickness of the retinal nerve fiber layer (RNFL) in myopic and emmetropia eyes. METHODS: Nerve fiber analyzer III-GDxVCC (produced by Laser Diagnostic Technologies, San Diego, CA,USA) was applied to measure RNFL thickness of 85 volunteers with myopia (166 eyes) and 23 volunteers with emmetropia (42 eyes). The patients of myopic were divided into four groups including mild myopia, moderate myopia, high myopia and excessive myopia. All the results were analyzed by the version 11.5 of SPSS. RESULTS: In 2.4 to 3.2 mm annular region around the optic nerve head, no remarkable difference of the average RNFL thickness between the normal group and myopic group was found; no obvious difference among the four myopic groups was found. In the superior 120 ° area, RNFL thickness was significantly different compared the high and excessive myopia with the other groups (P < 0.01). In the inferior 120° area, RNFL thickness was similar in all the groups. In the circumferential area, the variation of the standard deviation of TSNIT between excessive myopic groups and the other groups was significant (P < 0.05). The nerve fiber indicator in high and excessive myopic groups was differed significantly from other groups (P < 0.05), which was linear correlated with the diopter. CONCLUSION: With the increase of the degree of myopia, average RNFL thickness in the superior 120° area gets thinner, but NFI becomes bigger gradually. LA: Chinese

Dr. X.-Y. Wu, Department of Ophthalmology, Xiangya Hospital of Central-South University, Changsha 410008 Hunan Province, China

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Classification:

2.13 Retina and retinal nerve fibre layer (Part of: 2 Anatomical structures in glaucoma)
6.9.1 Laser scanning (Part of: 6 Clinical examination methods > 6.9 Computerized image analysis)

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