Thimmegowda Umapathy, Sarvesh Swetha G, Shashikumar Hassan Channaveerappa, Kanchiswamy Lokesh Nagamangala, Shivananda Dharmesh Hampapura, Prabhakar Ashwini Chikkanayakanahalli
Reader, Department of Pedodontics & Preventive Dentistry, Rajarajeswari Dental College and Hospital , #14 Ramohalli cross Kumbalgodu, Mysore Road, Bangalore, Karnataka, India .
Professor, Department of Orthodontics, Rajarajeswari Dental College and Hospital , #14 Ramohalli cross Kumbalgodu, Mysore Road, Bangalore, Karnataka, India .
J Clin Diagn Res. 2015 Aug;9(8):ZC01-6. doi: 10.7860/JCDR/2015/13384.6269. Epub 2015 Aug 1.
The Moyer's mixed dentition analysis forms an essential part of diagnostic procedures to determine adequacy of the space available for the erupting permanent teeth. However, its reliability among different racial groups has been questioned.
The objectives of this study were to test the reliability of Moyer's method and to produce new regression equation for Bangalore population for predicting the mesiodistal diameters of the unerupted permanent canines and premolars.
Data was collected from study models of 400 randomly selected Bangalore subjects aged 13 to 16 years with fully erupted, intact dentitions and no significant malocclusion. The mesiodistal widths of the incisors, canines and premolars of both arches were measured. This data was then utilized to predict the mesiodistal widths of canines and premolars and further compared with Moyer's table.
It was found that 50% is more applicable to boys and 75% to girls. The canine premolar segment in both arches is statistically larger in men than in women (p<0.05). New regression equation was formulated, the accuracy of which needs to be evaluated further in a larger sample.
莫耶斯混合牙列分析法是确定恒牙萌出可用间隙是否充足的诊断程序的重要组成部分。然而,其在不同种族群体中的可靠性受到了质疑。
本研究的目的是测试莫耶斯方法的可靠性,并为班加罗尔人群生成新的回归方程,以预测未萌出恒牙尖牙和前磨牙的近远中直径。
从400名年龄在13至16岁、牙列完全萌出、完整且无明显错牙合畸形的随机选择的班加罗尔受试者的研究模型中收集数据。测量了双侧牙弓中切牙、尖牙和前磨牙的近远中宽度。然后利用这些数据预测尖牙和前磨牙的近远中宽度,并进一步与莫耶斯表进行比较。
发现50%的比例对男孩更适用,75%的比例对女孩更适用。双侧牙弓中的尖牙前磨牙段在男性中在统计学上大于女性(p<0.05)。制定了新的回归方程,其准确性需要在更大的样本中进一步评估。