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Early prediction of maxillary canine impaction.
Dentomaxillofac Radiol. 2016; 45(3):20150232.DR

Abstract

OBJECTIVES

The aim of this study was to establish prediction criteria for maxillary canine impaction in young patients, based on angular and linear measurements on panoramic radiographs.

METHODS

From 828 records having at least 2 panoramic radiographs, both taken between the ages of 7 and 14 years, with a minimum 1-year and maximum 3-year interval (T1 and T2), a training data set consisting of 30 subjects with unilateral canine impaction (12 males and 18 females) was selected. The patients' mean age was 10.1 years [standard deviation (SD) 1.3 years] at T1 and 11.9 years (SD 1.1 years) at T2. The training data set also consisted of 30 maxillary canines from the contralateral sides and an additional 60 normal erupted canines from 30 subjects. Those 30 subjects of a test data set were selected based on displaying bilateral maxillary canine eruption at T2 and being matched for gender and age with the subjects of the training data set [12 males and 18 females; mean age at T1, 10.1 years (SD 1.3 years) and at T2, 11.1 years (SD 1.2 years)]. Angular and linear measurements were performed separately by two observers on the total study sample at T1. Linear measurements were expressed as a multiplication of the maxillary central incisor width at the non-impacted side.

RESULTS

Significant differences for linear and angular measurements and radiographic factors were found between the maxillary impacted canine and erupted maxillary canine. The three best-discriminating parameters were canine to first premolar angle, canine cusp to midline distance and canine cusp to maxillary plane distance. These three parameters were combined in a multiple logistic regression model to calculate the probability of impaction, yielding a high area under the curve (AUC) equal to 0.97 (95% confidence interval: 0.94-0.99), with 90% sensitivity and 94% specificity.

CONCLUSIONS

Prediction of maxillary canine impaction from a combination of parameters relating to angles and distances measured in panoramic radiographs is weak. However, the final prediction model, based on canine-first premolar angle, canine cusp tip to midline distance and canine cusp tip to maxillary occlusal plane distance, might be useful to discriminate canine impaction for early intervention or regular follow-up.

Authors+Show Affiliations

1 Department of Preventive Dental Sciences, College of Dentistry, Prince Sattam Bin Abdulaziz University, Al-Kharj, Saudi Arabia. 2 Department of Oral Health Sciences - Orthodontics, KU Leuven and Dentistry, University Hospitals Leuven, Leuven, Belgium.2 Department of Oral Health Sciences - Orthodontics, KU Leuven and Dentistry, University Hospitals Leuven, Leuven, Belgium.2 Department of Oral Health Sciences - Orthodontics, KU Leuven and Dentistry, University Hospitals Leuven, Leuven, Belgium.3 I-BioStat Department of Public Health, KU Leuven and Universiteit Hasselt, Belgium.2 Department of Oral Health Sciences - Orthodontics, KU Leuven and Dentistry, University Hospitals Leuven, Leuven, Belgium.

Pub Type(s)

Comparative Study
Journal Article

Language

eng

PubMed ID

26683426

Citation

Alqerban, Ali, et al. "Early Prediction of Maxillary Canine Impaction." Dento Maxillo Facial Radiology, vol. 45, no. 3, 2016, p. 20150232.
Alqerban A, Storms AS, Voet M, et al. Early prediction of maxillary canine impaction. Dentomaxillofac Radiol. 2016;45(3):20150232.
Alqerban, A., Storms, A. S., Voet, M., Fieuws, S., & Willems, G. (2016). Early prediction of maxillary canine impaction. Dento Maxillo Facial Radiology, 45(3), 20150232. https://doi.org/10.1259/dmfr.20150232
Alqerban A, et al. Early Prediction of Maxillary Canine Impaction. Dentomaxillofac Radiol. 2016;45(3):20150232. PubMed PMID: 26683426.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Early prediction of maxillary canine impaction. AU - Alqerban,Ali, AU - Storms,Ann-Sophie, AU - Voet,Martine, AU - Fieuws,Steffen, AU - Willems,Guy, Y1 - 2015/12/18/ PY - 2017/03/01/pmc-release PY - 2015/12/20/entrez PY - 2015/12/20/pubmed PY - 2016/6/24/medline KW - cone beam computed tomography KW - cuspid KW - impacted KW - panoramic KW - teeth SP - 20150232 EP - 20150232 JF - Dento maxillo facial radiology JO - Dentomaxillofac Radiol VL - 45 IS - 3 N2 - OBJECTIVES: The aim of this study was to establish prediction criteria for maxillary canine impaction in young patients, based on angular and linear measurements on panoramic radiographs. METHODS: From 828 records having at least 2 panoramic radiographs, both taken between the ages of 7 and 14 years, with a minimum 1-year and maximum 3-year interval (T1 and T2), a training data set consisting of 30 subjects with unilateral canine impaction (12 males and 18 females) was selected. The patients' mean age was 10.1 years [standard deviation (SD) 1.3 years] at T1 and 11.9 years (SD 1.1 years) at T2. The training data set also consisted of 30 maxillary canines from the contralateral sides and an additional 60 normal erupted canines from 30 subjects. Those 30 subjects of a test data set were selected based on displaying bilateral maxillary canine eruption at T2 and being matched for gender and age with the subjects of the training data set [12 males and 18 females; mean age at T1, 10.1 years (SD 1.3 years) and at T2, 11.1 years (SD 1.2 years)]. Angular and linear measurements were performed separately by two observers on the total study sample at T1. Linear measurements were expressed as a multiplication of the maxillary central incisor width at the non-impacted side. RESULTS: Significant differences for linear and angular measurements and radiographic factors were found between the maxillary impacted canine and erupted maxillary canine. The three best-discriminating parameters were canine to first premolar angle, canine cusp to midline distance and canine cusp to maxillary plane distance. These three parameters were combined in a multiple logistic regression model to calculate the probability of impaction, yielding a high area under the curve (AUC) equal to 0.97 (95% confidence interval: 0.94-0.99), with 90% sensitivity and 94% specificity. CONCLUSIONS: Prediction of maxillary canine impaction from a combination of parameters relating to angles and distances measured in panoramic radiographs is weak. However, the final prediction model, based on canine-first premolar angle, canine cusp tip to midline distance and canine cusp tip to maxillary occlusal plane distance, might be useful to discriminate canine impaction for early intervention or regular follow-up. SN - 0250-832X UR - https://www.unboundmedicine.com/medline/citation/26683426/Early_prediction_of_maxillary_canine_impaction_ L2 - http://www.birpublications.org/doi/full/10.1259/dmfr.20150232?url_ver=Z39.88-2003&rfr_id=ori:rid:crossref.org&rfr_dat=cr_pub=pubmed DB - PRIME DP - Unbound Medicine ER -