Cephalometric prediction of risk factors for mandibular third molar impaction

Background: Mandibular third molar impaction in adult patients is one of the most common problems in dental practice. However, limited data are available on the association between mandibular third molar impaction and craniofacial skeletal problems. Aim: This study aimed to establish a prediction mo...

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Published in:Journal of Medical Sciences
Main Authors: Wei-Cheng Lee, Da-Yo Yuh, Cheng-En Sung, Yu-Chiao Wu, Ying-Wu Chen, Wei-Liang Chen
Format: Article
Language:English
Published: Wolters Kluwer Medknow Publications 2024-01-01
Subjects:
Online Access:http://www.jmedscindmc.com/article.asp?issn=1011-4564;year=2024;volume=44;issue=2;spage=60;epage=65;aulast=Lee
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author Wei-Cheng Lee
Da-Yo Yuh
Cheng-En Sung
Yu-Chiao Wu
Ying-Wu Chen
Wei-Liang Chen
author_facet Wei-Cheng Lee
Da-Yo Yuh
Cheng-En Sung
Yu-Chiao Wu
Ying-Wu Chen
Wei-Liang Chen
author_sort Wei-Cheng Lee
collection DOAJ
container_title Journal of Medical Sciences
description Background: Mandibular third molar impaction in adult patients is one of the most common problems in dental practice. However, limited data are available on the association between mandibular third molar impaction and craniofacial skeletal problems. Aim: This study aimed to establish a prediction model to evaluate the risk factors for mandibular third molar impaction. Methods: Panoramic and lateral cephalometric radiographs of orthodontic patients aged ≥20 years were obtained from the Tri-Service General Hospital. The radiographs were analyzed by a single examiner. Panoramic radiographs were used to evaluate the mandibular third molar impaction. Lateral cephalometric radiographs were used to evaluate five linear and six angular measurements to define the facial pattern of the participants. The association between cephalometric measurements and mandibular third molar impaction was determined using one-way analysis of variance and logistic regression analysis. Results: This study included 60 participants. The incidence of mandibular third molar impaction was associated with the mandibular plane angle (MPA) and mandibular length (Co-Gn) (P < 0.001). The presence of mandibular third molar impaction was found to gradually increase with increasing MPA and decreasing mandibular length. Conclusion: Individuals with a greater MPA and lesser mandibular length had a higher incidence of mandibular third molar impaction.
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spelling doaj-art-e7fc5d161e6d408daee26f8412c6d90c2025-08-20T00:22:45ZengWolters Kluwer Medknow PublicationsJournal of Medical Sciences1011-45642024-01-01442606510.4103/jmedsci.jmedsci_20_23Cephalometric prediction of risk factors for mandibular third molar impactionWei-Cheng LeeDa-Yo YuhCheng-En SungYu-Chiao WuYing-Wu ChenWei-Liang ChenBackground: Mandibular third molar impaction in adult patients is one of the most common problems in dental practice. However, limited data are available on the association between mandibular third molar impaction and craniofacial skeletal problems. Aim: This study aimed to establish a prediction model to evaluate the risk factors for mandibular third molar impaction. Methods: Panoramic and lateral cephalometric radiographs of orthodontic patients aged ≥20 years were obtained from the Tri-Service General Hospital. The radiographs were analyzed by a single examiner. Panoramic radiographs were used to evaluate the mandibular third molar impaction. Lateral cephalometric radiographs were used to evaluate five linear and six angular measurements to define the facial pattern of the participants. The association between cephalometric measurements and mandibular third molar impaction was determined using one-way analysis of variance and logistic regression analysis. Results: This study included 60 participants. The incidence of mandibular third molar impaction was associated with the mandibular plane angle (MPA) and mandibular length (Co-Gn) (P < 0.001). The presence of mandibular third molar impaction was found to gradually increase with increasing MPA and decreasing mandibular length. Conclusion: Individuals with a greater MPA and lesser mandibular length had a higher incidence of mandibular third molar impaction.http://www.jmedscindmc.com/article.asp?issn=1011-4564;year=2024;volume=44;issue=2;spage=60;epage=65;aulast=Leecephalometric predictionlogistic regressionmandibular lengthmandibular plane anglemandibular third molar impaction
spellingShingle Wei-Cheng Lee
Da-Yo Yuh
Cheng-En Sung
Yu-Chiao Wu
Ying-Wu Chen
Wei-Liang Chen
Cephalometric prediction of risk factors for mandibular third molar impaction
cephalometric prediction
logistic regression
mandibular length
mandibular plane angle
mandibular third molar impaction
title Cephalometric prediction of risk factors for mandibular third molar impaction
title_full Cephalometric prediction of risk factors for mandibular third molar impaction
title_fullStr Cephalometric prediction of risk factors for mandibular third molar impaction
title_full_unstemmed Cephalometric prediction of risk factors for mandibular third molar impaction
title_short Cephalometric prediction of risk factors for mandibular third molar impaction
title_sort cephalometric prediction of risk factors for mandibular third molar impaction
topic cephalometric prediction
logistic regression
mandibular length
mandibular plane angle
mandibular third molar impaction
url http://www.jmedscindmc.com/article.asp?issn=1011-4564;year=2024;volume=44;issue=2;spage=60;epage=65;aulast=Lee
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