대한안과학회 학술대회 발표 연제 초록
 
외안F-054
영상분석을 이용한 익상편에 의한 난시유발정도의 정량화
강원대학교병원 안과학교실 (1) 분당서울대학교병원 안과 (2) 국립암센터(3) 서울대학교병원 안과학교실 (4)
한상범(1), 전현선(2), 김무상(1), 이승준(1), 양희경(1), 황정민(1), 김광기(3), 현준영(2), 위원량(4)
목적 : To determine the factors influencing pterygium-induced astigmatism (PIA) and to develop a prediction model of PIA using the factors. This cross-sectional study included 97 eyes of 97 patients who underwent pterygium excision and limbal conjunctival autograft. 방법 : PIA was defined as the vector difference between the topographic astigmatism preoperatively and at 3 months postoperatively. Image analysis was performed using anterior segment photographs to measure relative length (RL; horizontal length of pterygium invading cornea / horizontal corneal diameter), relative width (RW; width of pterygium invading cornea / vertical corneal diameter), relative area (RA; area of pterygium invading cornea / total corneal area) and vascularity index (VI; degree of vascularity). Association between these factors and PIA was evaluated. 결과 : Univariate analysis showed that RL, RW, RA and VI were significantly associated with PIA (P< 0.001 for all variables, Pearson’s coefficient (r) = 0.708, 0.555, 0.606 and 0.642, respectively). In multivariate analysis, only RL (P<0.001) and VI (P<0.001) had significant correlation with PIA. Multiple regression model for PIA was generated as follows: PIA = 0.080 x RL (%) + 0.039 x VI – 0.823 (r2=0.502, F= 95.71, P<0.001). 결론 : Univariate analysis showed that RL, RW, RA and VI were significantly associated with PIA (P< 0.001 for all variables, Pearson’s coefficient (r) = 0.708, 0.555, 0.606 and 0.642, respectively). In multivariate analysis, only RL (P<0.001) and VI (P<0.001) had significant correlation with PIA. Multiple regression model for PIA was generated as follows: PIA = 0.080 x RL (%) + 0.039 x VI – 0.823 (r2=0.502, F= 95.71, P<0.001).
 
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