日本顎変形症学会雑誌
Online ISSN : 1884-5045
Print ISSN : 0916-7048
ISSN-L : 0916-7048
顎変形症の分類 (診断表記法) 橋本試案の評価
第1報術前顔貌の評価
中村 康宏橋本 賢二上田 吉生松下 文彦鈴木 浩之田中 英俊竹内 啓人福田 廣志
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1994 年 4 巻 1 号 p. 37-41

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抄録
The purpose of this study was to evaluate the appropriateness and problems of “The classification in the maxillofacial deformity (three-dimensional diagnostic description) by Hashimoto”
With this classification, twelve oral surgeons evaluated and classified fifty patients with maxillofacial deformities who had been treated at the Department of Dentistry and Oral and Maxillofacial Surgery, Hospital of Hamamatsu University School of Medicine.
First, the face was divided into three parts (“U”: Upper part of the face, “M”: Middle part of the face, “L”: Lower part of the face) vertically and five parts (I-V from the right side of the face) horizontally to express the abnormal region.
The profile was divided into three parts (“U”, “M”, “L”).
Then the regional relation of the each section was expressed using three numerals (“0”, “1”, “2”).
“0”: normal condition (symmetry or balanced)
“1”: left eccentric or increased condition.
“2”: right eccentric or decreased condition.
And then “A”(Asymmetry of the face), “H”(Height of the face), “W”(W idth of the face) and “P”(Profile of the face) were inspected and given a corresponding description for each of them using the regional expression and the numerals in the following formula.
A (UML) H (UML) W (UML) P (UML)
The agreement rate of the most popular description was checked for A, H, W, and P respectively. Only “W” was significantly low. And it was lower than the others in cases with facial asymmetry, while it was higher than the others in cases with normal face. The aggreement rate was 59.5% on the average for A, H, W, and P.
We presented the plan that the face was divided into three parts (“r”: right side of the face, “m”: middle part of the face, “1”: left side of the face) horizontally on the basis of bilateral pupils (center of the eyelid).
It was thought that this improvement would make up for shortcomings of the conventional method and increase the accuracy of diagnosis and classification and wide utilization in the clinic and research institute.
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