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A Postoperative Evaluation Guideline for Computer-Assisted Reconstruction of the Mandible

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Correlation Between Condylar Shape and Malocclusion: CBCT Analysis.

Neamat Hassan Abubakr¹, Tanya Al-Talib², Nastaran Bahar³

¹Department of Biomedical Sciences, School of Dental Medicine, University of Nevada, Las Vegas, NV 89106, USA.

Diagnostics (Basel, Switzerland)

|March 28, 2025

Summary

A new classification system for condylar morphology using cone-beam computed tomography (CBCT) aids in diagnosing skeletal malocclusions. This system helps identify temporomandibular joint (TMJ) changes for better orthodontic treatment planning.

Keywords:

CBCT adult orthodontics malocclusion

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Area of Science:

Orthodontics
Radiology
Anatomy

Background:

Cone-beam computed tomography (CBCT) is crucial for evaluating craniofacial structures.
Assessing condylar morphology is vital for understanding temporomandibular joint (TMJ) disorders.
Skeletal malocclusions often present with distinct condylar characteristics.

Purpose of the Study:

To introduce a novel classification system for condylar morphology.
To correlate condylar morphology with different skeletal classifications.
To evaluate the prevalence of degenerative changes in the TMJ.

Main Methods:

Retrospective analysis of 288 subjects using CBCT.
Evaluation of condylar shape, medial/lateral pole flattening, and degenerative changes.
Statistical analysis to determine significant associations between variables.

Main Results:

Class II skeletal malocclusion was most prevalent, particularly in females.
Females showed a higher incidence of degenerative TMJ changes (p < 0.001) and lateral pole flattening.
Convex condylar morphology was most common; degenerative changes were more frequent on the left side, especially in Class II Division 1 cases.

Conclusions:

The novel CBCT classification system improves TMJ evaluation in orthodontics.
Early detection of condylar morphological changes aids treatment planning.
This system facilitates optimized patient care by identifying at-risk individuals.