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...
| Published in: | Journal of Medical Sciences |
|---|---|
| Main Authors: | , , , , , |
| 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 |
| _version_ | 1850059483135344640 |
|---|---|
| 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. |
| format | Article |
| id | doaj-art-e7fc5d161e6d408daee26f8412c6d90c |
| institution | Directory of Open Access Journals |
| issn | 1011-4564 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | Wolters Kluwer Medknow Publications |
| record_format | Article |
| 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 |
| work_keys_str_mv | AT weichenglee cephalometricpredictionofriskfactorsformandibularthirdmolarimpaction AT dayoyuh cephalometricpredictionofriskfactorsformandibularthirdmolarimpaction AT chengensung cephalometricpredictionofriskfactorsformandibularthirdmolarimpaction AT yuchiaowu cephalometricpredictionofriskfactorsformandibularthirdmolarimpaction AT yingwuchen cephalometricpredictionofriskfactorsformandibularthirdmolarimpaction AT weiliangchen cephalometricpredictionofriskfactorsformandibularthirdmolarimpaction |
