人工歯肉付模型を用いた支台歯形成実習の多変量解析による分析 : クラスター分析の応用 Multivariate Analysis of Results of Tooth Preparation Practice in Manikin Head with Artificial Gingiva : Applying Cluster Analysis

この論文にアクセスする

この論文をさがす

著者

    • 奥山 弥生 OKUYAMA Yayoi
    • 東北大学歯学部歯科補綴学第1講座 First Department of Prosthetic Dentistry, Tohoku University School of Dentistry

抄録

The purpose of this study was to investigate the characteristics of tooth preparation and the relation among the evaluative criteria by applying multivariate analysis (cluster analysis, principal component analysis).<BR>The results were as follows:<BR>1. Cluster analysis showed that tooth preparation by the students could be classified into 3 clusters.<BR>2. Principal component analysis of each cluster and examination of actual tooth preparations showed the following.<BR>1) In the first cluster, the first component was related to "the quantity of occlusal reduction" and the second component was related to "the location of the margin" and "the width of the gingiva wound".<BR>2) In the second cluster, the first component was related to "the quantity of occlusal reduction" and the second component was related to "the balance of the quantity of occlusal reduction between cusps and fossae".<BR>3) The third cluster was singular, and principal component analysis could not be carried out.<BR>3. Principal component analysis and the correlation coefficients between evaluative regions showed that the first cluster was characterized as being comparatively well-balanced and the second was imbalanced due to the increased amount of preparation.<BR>4. This study suggested that a concrete guidance method for each cluster would enable educating students more efficiently.

収録刊行物

  • 日本補綴歯科學會雜誌 = The journal of the Japan Prosthodontic Society

    日本補綴歯科學會雜誌 = The journal of the Japan Prosthodontic Society 41(6), 915-927, 1997-12-10

    Japan Prosthodontic Society

参考文献:  33件中 1-33件 を表示

被引用文献:  4件中 1-4件 を表示

各種コード

  • NII論文ID(NAID)
    10008167960
  • NII書誌ID(NCID)
    AN00197911
  • 本文言語コード
    JPN
  • 資料種別
    ART
  • ISSN
    03895386
  • データ提供元
    CJP書誌  CJP引用  J-STAGE 
ページトップへ