AI Article Synopsis

  • The study aimed to explore how hard dental structures in teeth with abfraction lesions react to different types of occlusal loads.
  • A 65-year-old patient experiencing pain in her jaw and lower right premolars underwent a 3D imaging examination, followed by a finite element analysis to assess structural integrity.
  • Results showed that the cervical third of premolars is especially vulnerable to inclined occlusal loads, which caused significantly higher stress than axial loads, highlighting the importance of FEA in dental treatment planning.

Article Abstract

Background: The purpose of the study was to investigate the behavior of hard dental structures of the teeth with abfraction lesions when experimental occlusal loads were applied.

Methods: A 65-year-old patient came to the dentist because she had painful sensitivity in the temporomandibular joints and the lower right premolars. The patient was examined, and cone-beam computed tomography (CBCT) of the orofacial area was indicated. The data provided from the CBCT were processed with Mimics Innovation Suite 17 software to create the desired anatomical area in 3D format. Then, the structural calculation module was used in order to perform a finite element analysis of the lower right premolar teeth. A focused review of articles published between 2014 and 2023 from specialty literature regarding the FEA of premolars with abfraction lesions was also conducted.

Results: The parcel area and the cervical third of the analyzed premolars proved to be the most vulnerable areas under the inclined direction of occlusal loads. The inclined application of experimental loads induced 3-4 times higher maximum shears, stresses, and deformations than the axial application of the same forces.

Conclusions: FEA can be used to identify structural deficiencies in teeth with abfractions, a fact that is particularly important during dental treatments to correct occlusal imbalances.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11048859PMC
http://dx.doi.org/10.3390/diagnostics14080788DOI Listing

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