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• W2079423160 abstract "Finite element analysis (FEA) is a widespread technique to evaluate the stress/strain distributions in teeth or dental supporting tissues. However, in most studies occlusal forces are usually simplified using a single vector (i.e., point load) either parallel to the long tooth axis or oblique to this axis. In this pilot study we show how lower first molar occlusal information can be used to investigate the stress distribution with 3D FEA in the supporting bone structure. The LM1 and the LP2-LM1 of a dried modern human skull were scanned by μCT in maximum intercuspation contact. A kinematic analysis of the surface contacts between LM1 and LP2-LM1 during the power stroke was carried out in the occlusal fingerprint analyzer (OFA) software to visualize contact areas during maximum intercuspation contact. This information was used for setting the occlusal molar loading to evaluate the stress distribution in the supporting bone structure using FEA. The output was compared to that obtained when a point force parallel to the long axis of the tooth was loaded in the occlusal basin. For the point load case, our results indicate that the buccal and lingual cortical plates do not experience notable stresses. However, when the occlusal contact areas are considered, the disto-lingual superior third of the mandible experiences high tensile stresses, while the medio-lingual cortical bone is subjected to high compressive stresses. Developing a more realistic loading scenario leads to better models to understand the relationship between masticatory function and mandibular shape and structures. Am J Phys Anthropol, 2012. © 2011 Wiley Periodicals, Inc." @default.
• W2079423160 created "2016-06-24" @default.
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• W2079423160 date "2011-09-27" @default.
• W2079423160 modified "2023-09-24" @default.
• W2079423160 title "Brief communication: Comparing loading scenarios in lower first molar supporting bone structure using 3D finite element analysis" @default.
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• W2079423160 doi "https://doi.org/10.1002/ajpa.21607" @default.
• W2079423160 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/21952986" @default.
• W2079423160 hasPublicationYear "2011" @default.
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