TY - JOUR
T1 - Voxel-based micro-finite element analysis of dental implants in a human cadaveric mandible
T2 - Tissue modulus assignment and sensitivity analyses
AU - Mao, Qiyuan
AU - Su, Kangning
AU - Zhou, Yuxiao
AU - Hossaini-Zadeh, Mehran
AU - Lewis, Gregory S.
AU - Du, Jing
N1 - Funding Information:
The project described was supported by the National Center for Advancing Translational Sciences , National Institutes of Health , through Grant UL1TR002014 . The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH. The support was made available through Penn State Clinical and Translational Science Institute ( CTSI ). Mr Qiyuan Mao was supported by the Education Department of Jiangsu Province . The authors are also grateful to Dr. Sunita Ho and Dr. Don Curtis at the University of California, San Francisco (UCSF) for her contribution in the experiments in our prior work. The authors would also like to express gratitude to the Institute for CyberScience (ICS) at Penn State University for providing software, computing cores and storage.
Funding Information:
The project described was supported by the National Center for Advancing Translational Sciences, National Institutes of Health, through Grant UL1TR002014. The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH. The support was made available through Penn State Clinical and Translational Science Institute (CTSI). Mr Qiyuan Mao was supported by the Education Department of Jiangsu Province. The authors are also grateful to Dr. Sunita Ho and Dr. Don Curtis at the University of California, San Francisco (UCSF) for her contribution in the experiments in our prior work. The authors would also like to express gratitude to the Institute for CyberScience (ICS) at Penn State University for providing software, computing cores and storage. The authors have no competing interests to declare. The computed maximum principal strain on all cross-sections in the 3D implant-structures for implant 23 is provided in an animation. The computed maximum principal strain values with different selections of implant modulus, tooth modulus and boundary conditions are presented in a Supplementary figure.
Publisher Copyright:
© 2019 Elsevier Ltd
PY - 2019/6
Y1 - 2019/6
N2 - The success of dental implant treatment is related to the complex 3-dimensional (3D) biomechanics of the implant-bone interaction. In this work, 3D numerical models are built based on micro X-ray computed tomography (micro-CT) images of a cadaveric mandible specimen with implants placed in it. The simulation results show that the computed strain values in bone are sensitive to the uncertainties in trabecular tissue modulus and fairly insensitive to the modulus of implants and teeth and the detailed geometry of the fixed boundary condition. A bone-volume-fraction (BV/TV) based method is proposed to assign the tissue moduli of bone elements based on their BV/TV to increase the connectivity of the mesh and to improve the accuracy of the models. These models are potentially powerful for calculating the 3D full-field bone strain under implant loading, enabling in silico testing of different implant designs, but demand validation of the models. The computed results reveal high strain concentration at bone-implant contact areas and, more importantly, in the buccal (lip-side) bone that is not making contact with the implant. The computed strain concentration patterns are found to be in good agreement with the observations from our prior experiments using 3D full-field mechanical testing coupled with micro-CT and digital volume correlation. The buccal bone is thinner and less stiff than other areas of bone and is also the commonly observed area of bone resorption after dental implant treatment.
AB - The success of dental implant treatment is related to the complex 3-dimensional (3D) biomechanics of the implant-bone interaction. In this work, 3D numerical models are built based on micro X-ray computed tomography (micro-CT) images of a cadaveric mandible specimen with implants placed in it. The simulation results show that the computed strain values in bone are sensitive to the uncertainties in trabecular tissue modulus and fairly insensitive to the modulus of implants and teeth and the detailed geometry of the fixed boundary condition. A bone-volume-fraction (BV/TV) based method is proposed to assign the tissue moduli of bone elements based on their BV/TV to increase the connectivity of the mesh and to improve the accuracy of the models. These models are potentially powerful for calculating the 3D full-field bone strain under implant loading, enabling in silico testing of different implant designs, but demand validation of the models. The computed results reveal high strain concentration at bone-implant contact areas and, more importantly, in the buccal (lip-side) bone that is not making contact with the implant. The computed strain concentration patterns are found to be in good agreement with the observations from our prior experiments using 3D full-field mechanical testing coupled with micro-CT and digital volume correlation. The buccal bone is thinner and less stiff than other areas of bone and is also the commonly observed area of bone resorption after dental implant treatment.
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U2 - 10.1016/j.jmbbm.2019.03.008
DO - 10.1016/j.jmbbm.2019.03.008
M3 - Article
C2 - 30925312
AN - SCOPUS:85063336220
SN - 1751-6161
VL - 94
SP - 229
EP - 237
JO - Journal of the Mechanical Behavior of Biomedical Materials
JF - Journal of the Mechanical Behavior of Biomedical Materials
ER -