대한안과학회 학술대회 발표 연제 초록
 
녹F-010
Improving Diagnostic Performance for Retinal Nerve Fiber Layer Defect Using Shifting of Normative Database Considering Vessel Position
1 Department of Ophthalmology, CHA Bundang Medical Center, CHA University, Seongnam, Korea 2 Institute of Vision Research, Department of Ophthalmology, Yonsei University College of Medicine, Seoul, Korea
Youngje Sung1,Helen Lew1,Chan Yun Kim2,Seungsoo Rho1
목적 : To evaluate the clinical efficacy in glaucoma detection using the shifting of the normative retinal nerve fiber layer (RNFL) thickness according to each subject’s vessel position. 방법 : A prospective, observational, cross-sectional study including 151 healthy eyes and 65 glaucoma suspect eyes aged 18 to 80 years(mean age 47.0±12.8 years) was conducted. RNFL thickness data was obtained from spectral-domain optical coherence tomography measurement. Considering the clinical and statistical correlation, age, gender, axial length, central corneal thickness and the position of major retinal vessel peak(superotemporal artery;superotemporal vein;inferotemporal artery;inferotemporal vein) were investigated with the position of RNFL peak(superotemporal peak;inferotemporal peak) 결과 : STp and ITp was correlated with STa (r=0.756, p<0.001) and ITa (r=587, p<0.001), respectively. AL was also correlated with STp (r=-0.305, p<0.05) and ITp (r=0.175, p<0.05). After grouping all subjects according to STa and ITa respectively, the RNFL thickness level of lower 1% limit was shifted horizontally and increased by comparing to the total population. The assessment of the RNFL data from glaucoma suspects using the shifted lower 1% limit showed extremely higher increase of accuracy (k=0.938, p<0.001) than the distributed normative data (k=0.381, p<0.001) in glaucoma detection. 결론 : The intentional shifting of the normative RNFL thickness data according to the vessel position can improve the efficacy of glaucoma detection by narrowing the normative interval.
 
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