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Related Experiment Video

Updated: May 3, 2026

A Morphometric and Cellular Analysis Method for the Murine Mandibular Condyle

A Morphometric and Cellular Analysis Method for the Murine Mandibular Condyle

Published on: January 11, 2018

Mandibular second molar impaction: introducing a novel and validated 3D classification system.

Selene Barone¹, Lucia Cevidanes², Tecla Bocchino³

¹Department of Health Sciences, Magna Graecia University of Catanzaro, Catanzaro, Viale Europa - 88100, Italy. selene.barone@unicz.it.

BMC Oral Health

|October 10, 2024

Summary

This summary is machine-generated.

Three-dimensional (3D) imaging significantly improves the diagnosis and treatment planning for impacted mandibular second molars (M2M). A validated 3D classification system enhances clinical decisions for surgical and orthodontic approaches.

Keywords:

3D classification system Degree of difficulty Mandibular molar eruption disturbance Mandibular second molar impaction Surgical-orthodontic assessment Three-dimensional assessment

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Area of Science:

Dentistry
Oral and Maxillofacial Surgery
Orthodontics

Background:

Mandibular second molar (M2M) impaction is a common dental development issue.
Understanding its impact on clinical and therapeutic decisions is crucial.

Purpose of the Study:

To investigate how three-dimensional (3D) characterization influences clinical and therapeutic decisions for M2M impaction.
To introduce and validate a 3D classification system for M2M impaction.

Main Methods:

Collected and analyzed 2D and 3D radiological records of 15 impacted M2M.
Ten experienced clinicians (oral surgeons and orthodontists) evaluated cases using 2D and 3D data.
A novel 3D classification system was used to assess treatment difficulty.

Main Results:

3D imaging provided superior visualization of M2M impaction, aiding diagnosis of root proximity to nerves and bone.
The 3D classification altered clinical decisions regarding surgical-orthodontic approach, biomechanics, and treatment timelines.
Validation analysis showed high concordance among clinicians using the 3D classification system.

Conclusions:

3D evaluation enhances diagnostic accuracy for impacted M2Ms.
A validated 3D classification system, developed with high clinician concordance, improves treatment planning for M2M impaction.