Contemporary clinical dentistry · 2019
Prediction Formula of Permanent Canine and Premolar Eruption in Mixed Dentition Patients at Universitas Airlangga, Dental Hospital Surabaya, Indonesia.
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Djaharu'ddin Irwadi
Аннотация
BACKGROUND: The eruption of permanent canine, first and second premolars need to be predicted because they are erupted last, before the eruption of permanent first and second molars, in order to estimate the available space in orthodontic treatment.
AIM: This study aimed to predict the eruption of permanent canine, first and second premolars in mixed dentition.
MATERIALS AND METHODS: A cross sectional clinical observation was conducted in 21 subjects of 13 males nad 8 females with the age range of 8-12 years old. Their panoramic radiographs were used to create a prediction formula of permanent canine and premolars. The independent variables of this research are age, weight, height, birth weight, birth height, period of breastfeeding, and vertical distance of eruption. Data were analyzed by coefficient of multiple correlation followed by multiple linear regression analysis.
RESULTS: The prediction formula is as follows: Y = -5107 + 1645 X 1 + 078 X 2, where Y is the time of eruption, X 1 is the height, and X 2 is the vertical distance of eruption.
CONCLUSION: The prediction formula is useful for serial extraction in orthodontic treatment. It is also useful for forensic odontology, especially in the determination or identification of ages. It is recommended to be implemented in the science of development, especially in orthodontics and forensic odontology.
AIM: This study aimed to predict the eruption of permanent canine, first and second premolars in mixed dentition.
MATERIALS AND METHODS: A cross sectional clinical observation was conducted in 21 subjects of 13 males nad 8 females with the age range of 8-12 years old. Their panoramic radiographs were used to create a prediction formula of permanent canine and premolars. The independent variables of this research are age, weight, height, birth weight, birth height, period of breastfeeding, and vertical distance of eruption. Data were analyzed by coefficient of multiple correlation followed by multiple linear regression analysis.
RESULTS: The prediction formula is as follows: Y = -5107 + 1645 X 1 + 078 X 2, where Y is the time of eruption, X 1 is the height, and X 2 is the vertical distance of eruption.
CONCLUSION: The prediction formula is useful for serial extraction in orthodontic treatment. It is also useful for forensic odontology, especially in the determination or identification of ages. It is recommended to be implemented in the science of development, especially in orthodontics and forensic odontology.