Abstract
목적: 수직주시시차의 유형별 분포를 분석하고 입체시와의 상관관계를 알아보고자 한다. 방법: 입체시 검사표는 부분적으로 random dot을 이용하는 RANDOT(R) stereotest를 사용하였다. 근거리에서 수직주시시차는 환자와의 거리를 25 cm 유지한 상태에서 Wesson fixation disparity card를 이용해, 한쪽 눈에 하나씩 보이는 두 개의 가는 선이 프리즘을 가입하여 한 줄로 일치될 때의 측정결과를 바탕으로 주시시차곡선을 6가지 유형으로 분류하였다. 결과: 43명을 대상으로 근거리 수직주시시차 곡선의 유형은 제 1유형이 55.82%로 가장 많이 분포하였고, 제 2유형이 23.25%로 가장 적게 분포하였으며, 제 3유형이 4.65%, 제 4유형은 4.65%, 제 5유형은 6.98%, 제 6유형은 4.65%로 분포하였다. 두 변수들 사이의 선형적 상관관계의 정도를 보는 상관분석의 결과를 보면 입체시는 수직주시시차를 나타내는 Y-intercept(r = -0.07), 일부융합제거시 사위량(r = -0.03), 완전융합제거시 사위량(r = -0.00)과 상관관계가 없는 것으로 나타났고, 통계적으로 유의하지 않았다(p>0.05). 수직주시시차 곡선의 기울기와는 r = 0.36으로 양의 상관관계를 가지며 그 관계는 낮은 편으로 통계적으로 유의하였다(p<0.05). 수직주시시차를 나타내는 Y-intercept는 일부융합 제거시 사위량(r = 0.89)과는 높은 상관관계를 보였으며 통계적으로 유의하였다(p<0.05). 수직주시시차 곡선의 기울기는 r = -0.33으로 음의 상관관계를 보였고, 그 관계는 낮았으며 통계적으로 유의하게 나타났다(p<0.05). 회귀분석(regresson analysis)결과, 입체시와 수직주시시차의 변화에 따른 관계는 수직주시시차가 1분( ' ) 변하면 입체시는 7.631초( ' ) 만큼 변화하며, 입체시가 1초( ' ) 변하면 수직주시시차는 0.017분( ' ) 만큼 변화하였고 통계적으로 유의하였다(p<0.05). 결론: 입체시와 수직주시시차는 낮은 상관관계를 보였으며, 수직주시시차 만으로 입체시를 판단하기 힘들며 입체시에 영향을 미치는 인자는 수직주시시차 이외의 다른 요인이 더 클 것으로 사료된다. Purpose: To investigate a correlation between vertical fixation disparity and stereopsis by analyzing distribution of types of vertical fixation disparity. Methods: In this study, RANDOT(R) stereotest partly using random dot was used in stereopsis tests. The vertical fixation disparity in close proximity categorized fixation disparity slope into six types on the basis of the result of measurement in when two thin lines, one for one eye looks, become overlapped as a line by adding into prism with Wesson fixation disparity card while maintaining a distance of 25 cm from patients. Results: In the types of near vertical fixation disparity curve, targeting 43 people, the first type 55.82% was the most distributed, the second type is the least 23.25%, the third type of 4.65%, the fourth type of 4.65%, the fifth type of 6.98%, the sixths types of 4.65% were distributed. The result of a correlation analysis, which shows the degree of linear correlation between two variables, represented that stereopsis is not correlated with Y-intercept (r = -0.07) which show vertical fixation disparity, associated phoria (r = -0.03) and dissociated phoria (r = -0.00), but it was not statistically significant (p>0.05). Fixation disparity slope of vertical fixation disparity (r = 0.36) was shown to have a positive correlation with stereopsis. It has a low positive correlation and a meaningful statistics (p<0.05). The Y-intercept which indicates vertical fixation disparity was also not associated with stereopsis (r = -0.07) and dissociated phoria (r = -0.03), and this was not statistically significant (p>0.05), while it had a high correlation as well as a statistically significant with associated phoria (r = 0.89). There was a negative correlation between Y-intercept and fixation disparity slope of vertical fixation disparity (r = -0.33). It showed a low relationship but statistically valuable (p>0.05). As a result of regression analysis, the stereopsis was changed as 7.631" if vertical fixation disparity changes 1' and the vertical fixation disparity changed as 0.017' if stereopsis changes 1', and the change was statistically significant (p<0.05). Conclusions: The study shows that there is a low correlation between stereopsis and vertical fixation disparity, and it is difficult to determine stereopsis only using vertical fixation disparity. Therefore, it suggests other factors above vertical fixation disparity have greater influence on stereopsis.
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