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上颌尖牙阻生的决定因素:回顾性临床与影像学研究。

Determinants of maxillary canine impaction: Retrospective clinical and radiographic study.

作者信息

Laurenziello Michele, Montaruli Graziano, Gallo Crescenzio, Tepedino Michele, Guida Laura, Perillo Letizia, Troiano Giuseppe, Lo Muzio Lorenzo, Ciavarella Domenico

机构信息

University of Foggia, Department of Clinical and Experimental Medicine; Foggia,Italy.

University of Aquila, Applied Clinical Sciences and Biotecnology, Aquila, Italy.

出版信息

J Clin Exp Dent. 2017 Nov 1;9(11):e1304-e1309. doi: 10.4317/jced.54095. eCollection 2017 Nov.

Abstract

BACKGROUND

The aim of this study is to evaluate determinants of maxillary canine impaction taking into account both canine position related variables and the pattern of facial growth.

MATERIAL AND METHODS

A retrospective clinical and radiographic analysis was carried out on 109 patients aged between 9 and 10 years at the time of first evaluation. At baseline, SN-GoMe angle, the interincisal angle, the canine angle α and the canine distance d were used to characterize canine location and vertical facial growth. At the end of a two years follow up period the eruption state of each canine of each patient was recorded and accordingly classified as erupted or impacted on a clinical and radiographic basis. Univariate and multivariate statistical analyses were performed, including correlation among the studied variables and principal components analysis; several machine learning methods were also used in order to built a predictive model.

RESULTS

At the end of the two years follow up period after the first examination, 54 (24.77%) canines were classified as impacted. Except for Angle α values, there were no statistically significant differences between impacted and erupted canines. The studied variables were not significantly correlated, except for the SN-GoMe Angle and the distance d in the impacted canine group and the angle α and the distance d in erupted canines group. All variables, except for SN-GoMe Angle in erupted canines, have a partial communality with the first two principal components greater than 50%. Among the learning machine methods tested to classify data, the best performance was obtained by the random forest method, with an overall accuracy in predicting canine eruption of 88.3%.

CONCLUSIONS

The studied determinants are easy to perform measurements on 2D routinely executed radiographic images; they seems independently related to canine impaction and have reliable accuracy in predicting maxillary canine eruption. Canine impaction, Determinants, Facial growth.

摘要

背景

本研究的目的是评估上颌尖牙阻生的决定因素,同时考虑与尖牙位置相关的变量和面部生长模式。

材料与方法

对首次评估时年龄在9至10岁之间的109例患者进行回顾性临床和影像学分析。在基线时,使用SN-GoMe角、切牙间角、尖牙角α和尖牙距离d来表征尖牙位置和垂直面部生长。在两年随访期结束时,记录每位患者每颗尖牙的萌出状态,并根据临床和影像学结果将其分类为萌出或阻生。进行了单变量和多变量统计分析,包括研究变量之间的相关性和主成分分析;还使用了几种机器学习方法来建立预测模型。

结果

在首次检查后的两年随访期结束时,54颗(24.77%)尖牙被分类为阻生。除了角α值外,阻生尖牙和萌出尖牙之间没有统计学上的显著差异。所研究的变量之间没有显著相关性,除了阻生尖牙组中的SN-GoMe角和距离d以及萌出尖牙组中的角α和距离d。除了萌出尖牙中的SN-GoMe角外,所有变量与前两个主成分的部分共同度均大于50%。在测试用于分类数据的机器学习方法中,随机森林方法表现最佳,预测尖牙萌出的总体准确率为88.3%。

结论

所研究的决定因素易于在常规执行的二维放射影像上进行测量;它们似乎与尖牙阻生独立相关,并且在预测上颌尖牙萌出方面具有可靠的准确性。尖牙阻生、决定因素、面部生长。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2316/5741843/c9b82ee3c384/jced-9-e1304-g001.jpg

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