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Mandibular growth prediction using by computer aided skeletal maturity assessment system (CASMAS)
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- SATO,Koshi
- Department of Orthodontics, School of Dentistry, Tohoku University
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- MITANI,Hideo
- Department of Orthodontics, School of Dentistry, Tohoku University
Bibliographic Information
- Other Title
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- 骨成熟自動評価システム (CASMAS) を用いた下顎骨成長予測法
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Description
Evaluation of skeletal maturation is an important information to predict the mandibular growth. The "Tanner-Whitehouse 2 (TW2)" is a popular method for evaluating skeletal maturation, but this method has some inherent weak points. The objective of this study was to develop a computer aided skeletal maturity assessment system (CASMAS) and to predict the mandibular growth potentials. By programming an algorithm, we were able to extract the digital images of the distal, middle and proximal phalanges of the third finger from the computerized scanning of the hand-wrist X-ray. Furthermore, we standardized the long axis, set parameters for automatic evaluation of epiphysis and metaphysis of the phalanges and calculated the bone age. The bone age and the actual mandibular total length (Cd-Gn) at puberty predicted the final mandibular total length. The methods were based on the hypothesis that relative value of length (SD score) was maintained during growing period. Cross-sectional data of 182 Japanese girls and 191 boys, and longitudinal data of 55 girls were used. The results were as follows : 1. The correlation coefficients between bone age by CASMAS and Japanese standards of bone age based on TW2 method were over 0.9. 2. Average difference between actual final mandibular total length and length predicted by CASMAS was 1.66 mm. The system developed in this study was useful for evaluating the skeletal maturation and mandibular growth potentials.
Journal
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- Orthodontic waves : journal of the Japanese Orthodontic Society : 日本矯正歯科学会雑誌
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Orthodontic waves : journal of the Japanese Orthodontic Society : 日本矯正歯科学会雑誌 58 (4), 272-278,
日本矯正歯科学会
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Details 詳細情報について
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- CRID
- 1543387470093743744
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- NII Article ID
- 110004015572
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- NII Book ID
- AA11222509
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- Text Lang
- ja
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- Data Source
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- NDL Digital Collections (NII-ELS)
- CiNii Articles