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Abstract #24728 Published in IGR 11-4
Relationship between visual field defect score and retinal nerve fiber layer thickness measured by OCT
Zhao W; Lu YInternational Journal of Ophthalmology 2009; 9: 1310-1312
AIM: To investigate the relationship between visual field defect scoring value and retinal nerve fiber layer (RNFL) damage. METHODS: Thirty cases (30 eyes) with open-angle glaucoma were collected and performed OCT to examine retinal nerve fiber layer thickness and visual field check respectively. In accordance with the visual field results, the visual field defect was scored, and the patients were grouped. Every quadrant's RNFL thickness values, visual field defect score, mean defect (MD) relationships and correlativity were analyzed. RESULTS: According to the visual field defect scoring, the patients were divided into four groups. There were significant differences (P = 0.010, P < 0.01, P < 0.01) of the RNFL thickness on the supral side, inferior side and the average among these groups. As for the four groups, the thickness of supral side and inferior side and the average RNFL thickness became thinner along with the increasing of visual field defect. In severe defect group, RNFL thickness was the thinnest. The visual field defect score was significantly inverse correlated (r = -0.610, P = 0.001; r = -0.779, P < 0.01; r = -0.463, P = 0.015; r = -0.500, P = 0.008; r = -0.782, P < 0.01) to RNFL thickness of the supral side, inferior side, the nasal side, the temporal side and the average RNFL thickness. Value of MD was significantly positive correlated (r = 0.557, P = 0.003; r = 0.431, P = 0.025; r = 0.532, P = 0.004) to RNFL thickness of the supral side and inferior side and the average RNFL thickness. CONCLUSION: The objective assessment of visual field defect by visual field defect scoring is negatively correlated to the results of RNFL thickness measured by OCT, and it is a reliable observation index of glaucoma retinal nerve injury. LA: Chinese
Y. Lu. Department of Ophthalmology, Xuanwu Hospital, Capital Medical University, Beijing 100053, China. louiesluyan@yahoo.com.cn
Classification:
6.6.2 Automated (Part of: 6 Clinical examination methods > 6.6 Visual field examination and other visual function tests)
6.9.2.2 Posterior (Part of: 6 Clinical examination methods > 6.9 Computerized image analysis > 6.9.2 Optical coherence tomography)
