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研究生:曾雅
研究生(外文):Tseng, Yea
論文名稱:前牙開咬患者之顱顏特徵及牙齒長軸近遠心角度之研究
論文名稱(外文):The study of craniofacial characteristics and mesio-distal tooth inclination in anterior open-bite cases
指導教授:許必靈
指導教授(外文):Spring Hsu
學位類別:碩士
校院名稱:國立陽明大學
系所名稱:牙醫學系
學門:醫藥衛生學門
學類:牙醫學類
論文種類:學術論文
論文出版年:1997
畢業學年度:85
語文別:中文
論文頁數:93
中文關鍵詞:垂直骨骼型態前牙垂直覆咬量牙齒長軸傾斜角度牙科前牙開咬
外文關鍵詞:VERTICAL SKELETAL PATTERNOVERBITE DEPTHTOOTH INCLINATIONDENTISTRYTOOTH INCLINATION
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前牙開咬,一向是不容易單以矯正方法治療的困難病例,在以往的研究重點多是針對其骨骼特徵作分析,但仍未能找到達到理想結果又有長期穩定性的治療方法;1987年Kim1提出利用多環矯正線(Multiloop Edgewise Archwire)來改正開咬患者後牙長軸角度,進而使前牙達到正常覆咬,為前牙開咬的治療方式提供了一個新的嘗試方向。為徹底瞭解前牙開咬患者之顱顏特徵及牙齒長軸傾斜角度,本研究選取了30位前牙開咬病例作分析,並選取53位具有正常覆咬者作為對照組,依其骨骼型態分成高角群、均角群及狹角群,以比較在相同的骨骼型態下,兩組在顱顏結構及牙齒傾斜角度的差異。結果顯示:(1)在「廣角群」骨骼型態中,前牙開咬的發生主要是月咢平面後方(PNS)偏低位,加上上顎前牙外展、上顎前牙齒槽骨高度相對偏短,後牙齒槽骨高度略增加,而使前牙無法達到正常覆咬;(2)在「均角群」骨骼型態中,主要是上下顎前牙齒槽骨代償性生長不足而有前牙開咬的表現;(3)開咬組的後牙長軸並無表現Kim所說的向近心側傾斜傾向;(4)多變項迴歸分析發現,前牙垂直覆咬量的變化量約有75%可以經由六項顱顏齒列變項組成的迴歸方程式所解釋。
There is still little consensus concerning the treatment modality of anterior openbite in contemporary orthodontics. Kim advocated the MEAW technique to solve the problem under the hypothesis that the posterior teeth were more mesially inclined in anterior openbite patients than in non-openbite ones. The purposes of this study were to compare the morphological difference between samples with and without anterior openbite, and to examine the validity of Kirn's hypothesis. Thirty young adults with anterior openbite and fifty-three controls were divided into high, average and low angle subgroups, and their differences in cranio-facial and dental structures were compared. The results showed that, in high angle samples, downward positioned PNS, anteriorly flared upper incisors, and imbalanced upper anterior and posterior alveolar height possibly caused anterior openbite. On the other hand, under-developed upper and lower anterior alveolar height may be the main reason of anterior openbite in average angle samples. There was no significant difference in the posterior tooth inclination between openbite and control groups. With multivariate regression analysis, there were six variables which, as a whole, provided the best estimation (75%) of anterior overbite depth in this study.



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