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Comparative Evaluation of Osseointegrated Dental Implants Based on Platform-Switching Concept: Influence of Diameter, Length, Thread Shape, and In-Bone Positioning Depth on Stress-Based Performance

Identifieur interne : 001A96 ( Pmc/Checkpoint ); précédent : 001A95; suivant : 001A97

Comparative Evaluation of Osseointegrated Dental Implants Based on Platform-Switching Concept: Influence of Diameter, Length, Thread Shape, and In-Bone Positioning Depth on Stress-Based Performance

Auteurs : Giuseppe Vairo [Italie] ; Gianpaolo Sannino [Italie]

Source :

RBID : PMC:3703879

Abstract

This study aimed to investigate the influence of implant design (in terms of diameter, length, and thread shape), in-bone positioning depth, and bone posthealing crestal morphology on load transfer mechanisms of osseointegrated dental implants based on platform-switching concept. In order to perform an effective multiparametric comparative analysis, 11 implants different in dimensions and in thread features were analyzed by a linearly elastic 3-dimensional finite element approach, under a static load. Implant models were integrated with the detailed model of a maxillary premolar bone segment. Different implant in-bone positioning levels were modeled, considering also different posthealing crestal bone morphologies. Bone overloading risk was quantified by introducing proper local stress measures, highlighting that implant diameter is a more effective design parameter than the implant length, as well as that thread shape and thread details can significantly affect stresses at peri-implant bone, especially for short implants. Numerical simulations revealed that the optimal in-bone positioning depth results from the balance of 2 counteracting effects: cratering phenomena and bone apposition induced by platform-switching configuration. Proposed results contribute to identify the mutual influence of a number of factors affecting the bone-implant loading transfer mechanisms, furnishing useful insights and indications for choosing and/or designing threaded osseointegrated implants.


Url:
DOI: 10.1155/2013/250929
PubMed: 23861722
PubMed Central: 3703879


Affiliations:


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PMC:3703879

Le document en format XML

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<p>This study aimed to investigate the influence of implant design (in terms of diameter, length, and thread shape), in-bone positioning depth, and bone posthealing crestal morphology on load transfer mechanisms of osseointegrated dental implants based on platform-switching concept. In order to perform an effective multiparametric comparative analysis, 11 implants different in dimensions and in thread features were analyzed by a linearly elastic 3-dimensional finite element approach, under a static load. Implant models were integrated with the detailed model of a maxillary premolar bone segment. Different implant in-bone positioning levels were modeled, considering also different posthealing crestal bone morphologies. Bone overloading risk was quantified by introducing proper local stress measures, highlighting that implant diameter is a more effective design parameter than the implant length, as well as that thread shape and thread details can significantly affect stresses at peri-implant bone, especially for short implants. Numerical simulations revealed that the optimal in-bone positioning depth results from the balance of 2 counteracting effects: cratering phenomena and bone apposition induced by platform-switching configuration. Proposed results contribute to identify the mutual influence of a number of factors affecting the bone-implant loading transfer mechanisms, furnishing useful insights and indications for choosing and/or designing threaded osseointegrated implants.</p>
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</TEI>
<pmc article-type="research-article">
<pmc-dir>properties open_access</pmc-dir>
<front>
<journal-meta>
<journal-id journal-id-type="nlm-ta">Comput Math Methods Med</journal-id>
<journal-id journal-id-type="iso-abbrev">Comput Math Methods Med</journal-id>
<journal-id journal-id-type="publisher-id">CMMM</journal-id>
<journal-title-group>
<journal-title>Computational and Mathematical Methods in Medicine</journal-title>
</journal-title-group>
<issn pub-type="ppub">1748-670X</issn>
<issn pub-type="epub">1748-6718</issn>
<publisher>
<publisher-name>Hindawi Publishing Corporation</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="pmid">23861722</article-id>
<article-id pub-id-type="pmc">3703879</article-id>
<article-id pub-id-type="doi">10.1155/2013/250929</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Research Article</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Comparative Evaluation of Osseointegrated Dental Implants Based on Platform-Switching Concept: Influence of Diameter, Length, Thread Shape, and In-Bone Positioning Depth on Stress-Based Performance</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<contrib-id contrib-id-type="orcid" authenticated="false">0000-0003-2597-6985</contrib-id>
<name>
<surname>Vairo</surname>
<given-names>Giuseppe</given-names>
</name>
<xref ref-type="aff" rid="I1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Sannino</surname>
<given-names>Gianpaolo</given-names>
</name>
<xref ref-type="aff" rid="I2">
<sup>2</sup>
</xref>
<xref ref-type="corresp" rid="cor1">*</xref>
</contrib>
</contrib-group>
<aff id="I1">
<sup>1</sup>
Department of Civil Engineering and Computer Science, University of Rome “Tor Vergata,” Via del Politecnico 1, 00133 Rome, Italy</aff>
<aff id="I2">
<sup>2</sup>
Department of Oral Health, University of Rome “Tor Vergata,” Viale Oxford, 00133 Rome, Italy</aff>
<author-notes>
<corresp id="cor1">*Gianpaolo Sannino:
<email>gianpaolo.sannino@uniroma2.it</email>
</corresp>
<fn fn-type="other">
<p>Academic Editor: Carlo Cattani</p>
</fn>
</author-notes>
<pub-date pub-type="ppub">
<year>2013</year>
</pub-date>
<pub-date pub-type="epub">
<day>19</day>
<month>6</month>
<year>2013</year>
</pub-date>
<volume>2013</volume>
<elocation-id>250929</elocation-id>
<history>
<date date-type="received">
<day>31</day>
<month>3</month>
<year>2013</year>
</date>
<date date-type="accepted">
<day>19</day>
<month>5</month>
<year>2013</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright © 2013 G. Vairo and G. Sannino.</copyright-statement>
<copyright-year>2013</copyright-year>
<license xlink:href="https://creativecommons.org/licenses/by/3.0/">
<license-p>This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
</license>
</permissions>
<abstract>
<p>This study aimed to investigate the influence of implant design (in terms of diameter, length, and thread shape), in-bone positioning depth, and bone posthealing crestal morphology on load transfer mechanisms of osseointegrated dental implants based on platform-switching concept. In order to perform an effective multiparametric comparative analysis, 11 implants different in dimensions and in thread features were analyzed by a linearly elastic 3-dimensional finite element approach, under a static load. Implant models were integrated with the detailed model of a maxillary premolar bone segment. Different implant in-bone positioning levels were modeled, considering also different posthealing crestal bone morphologies. Bone overloading risk was quantified by introducing proper local stress measures, highlighting that implant diameter is a more effective design parameter than the implant length, as well as that thread shape and thread details can significantly affect stresses at peri-implant bone, especially for short implants. Numerical simulations revealed that the optimal in-bone positioning depth results from the balance of 2 counteracting effects: cratering phenomena and bone apposition induced by platform-switching configuration. Proposed results contribute to identify the mutual influence of a number of factors affecting the bone-implant loading transfer mechanisms, furnishing useful insights and indications for choosing and/or designing threaded osseointegrated implants.</p>
</abstract>
</article-meta>
</front>
<floats-group>
<fig id="fig1" orientation="portrait" position="float">
<label>Figure 1</label>
<caption>
<p>Threaded dental implants analyzed in this study. Notation and examples of implant-abutment coupled systems that allow a platform-switching configuration.</p>
</caption>
<graphic xlink:href="CMMM2013-250929.001"></graphic>
</fig>
<fig id="fig2" orientation="portrait" position="float">
<label>Figure 2</label>
<caption>
<p>(a) Three-dimensional solid model of the edentulous maxilla considered in this study and obtained by a segmentation process based on multislice computed tomography (MSCT). (b) Submodel of the second premolar maxillary region, defined by considering two coronal sections at the distance of 40 mm along the mesiodistal direction (
<italic>y</italic>
axis) and positioning implants at the mid-span of the bone segment. (c) Examples of mesh details. (d) Loading condition.</p>
</caption>
<graphic xlink:href="CMMM2013-250929.002"></graphic>
</fig>
<fig id="fig3" orientation="portrait" position="float">
<label>Figure 3</label>
<caption>
<p>Modeling of crestal bone geometries and different configurations of implant in-bone positioning analyzed in this study. In the case of the configuration P0, a crestal bone loss of about 10% in thickness is depicted.</p>
</caption>
<graphic xlink:href="CMMM2013-250929.003"></graphic>
</fig>
<fig id="fig4" orientation="portrait" position="float">
<label>Figure 4</label>
<caption>
<p>Control regions employed for computing the local stress measures and the overloading risk index
<italic>R</italic>
at the bone-implant interface.</p>
</caption>
<graphic xlink:href="CMMM2013-250929.004"></graphic>
</fig>
<fig id="fig5" orientation="portrait" position="float">
<label>Figure 5</label>
<caption>
<p>Von Mises stress contours (blue: 0; red: 70 MPa) at the coronal section
<italic>y</italic>
= 0 for implants defined in
<xref ref-type="fig" rid="fig1">Figure 1</xref>
and in the case of the subcrestal positioning P1 (see
<xref ref-type="fig" rid="fig3">Figure 3</xref>
). Cortical peri-implant bone interface.</p>
</caption>
<graphic xlink:href="CMMM2013-250929.005"></graphic>
</fig>
<fig id="fig6" orientation="portrait" position="float">
<label>Figure 6</label>
<caption>
<p>Von Mises stress contours (blue: 0; red: 4.5 MPa) at the coronal section
<italic>y</italic>
= 0 for implants defined in
<xref ref-type="fig" rid="fig1">Figure 1</xref>
and in the case of the subcrestal positioning P1 (see
<xref ref-type="fig" rid="fig3">Figure 3</xref>
). Trabecular peri-implant bone interface.</p>
</caption>
<graphic xlink:href="CMMM2013-250929.006"></graphic>
</fig>
<fig id="fig7" orientation="portrait" position="float">
<label>Figure 7</label>
<caption>
<p>Von Mises ((a),
<italic>σ</italic>
<sub>VM</sub>
) and principal ((b),
<italic>σ</italic>
<sub>
<italic>T</italic>
</sub>
tensile and
<italic>σ</italic>
<sub>
<italic>C</italic>
</sub>
compressive) stress measures at cortical (left side) and trabecular (right side) bone-implant interface for implants defined in
<xref ref-type="fig" rid="fig1">Figure 1</xref>
and in the case of the subcrestal positioning P1 (see
<xref ref-type="fig" rid="fig3">Figure 3</xref>
). Average (bars) and peak (lines) values.</p>
</caption>
<graphic xlink:href="CMMM2013-250929.007"></graphic>
</fig>
<fig id="fig8" orientation="portrait" position="float">
<label>Figure 8</label>
<caption>
<p>Overloading risk index
<italic>R</italic>
computed at cortical and trabecular peri-implant bone for implants defined in
<xref ref-type="fig" rid="fig1">Figure 1</xref>
and in the case of the subcrestal positioning P1 (see
<xref ref-type="fig" rid="fig3">Figure 3</xref>
). Average (bars) and peak (lines) values.</p>
</caption>
<graphic xlink:href="CMMM2013-250929.008"></graphic>
</fig>
<fig id="fig9" orientation="portrait" position="float">
<label>Figure 9</label>
<caption>
<p>Von Mises stress contours (blue: 0; red: 70 MPa) at the coronal section
<italic>y</italic>
= 0 for implants 8 and A (see
<xref ref-type="fig" rid="fig1">Figure 1</xref>
) and for different implant in-bone positioning levels (see
<xref ref-type="fig" rid="fig3">Figure 3</xref>
). Cortical (a) and trabecular (b) peri-implant bone interface.</p>
</caption>
<graphic xlink:href="CMMM2013-250929.009"></graphic>
</fig>
<fig id="fig10" orientation="portrait" position="float">
<label>Figure 10</label>
<caption>
<p>Von Mises ((a),
<italic>σ</italic>
<sub>VM</sub>
) and principal ((b),
<italic>σ</italic>
<sub>
<italic>T</italic>
</sub>
tensile and
<italic>σ</italic>
<sub>
<italic>C</italic>
</sub>
compressive) stress measures at cortical (left side) and trabecular (right side) bone-implant interface for implants 8 and A (see
<xref ref-type="fig" rid="fig1">Figure 1</xref>
) and for different implant in-bone positioning levels (see
<xref ref-type="fig" rid="fig3">Figure 3</xref>
). Average (bars) and peak (lines) values.</p>
</caption>
<graphic xlink:href="CMMM2013-250929.010"></graphic>
</fig>
<fig id="fig11" orientation="portrait" position="float">
<label>Figure 11</label>
<caption>
<p>Overloading risk index
<italic>R</italic>
computed at cortical and trabecular peri-implant bone for implants 8 and A (see
<xref ref-type="fig" rid="fig1">Figure 1</xref>
) and for different implant in-bone positioning levels (see
<xref ref-type="fig" rid="fig3">Figure 3</xref>
). Average (bars) and peak (lines) values.</p>
</caption>
<graphic xlink:href="CMMM2013-250929.011"></graphic>
</fig>
<fig id="fig12" orientation="portrait" position="float">
<label>Figure 12</label>
<caption>
<p>Von Mises stress measure at cortical (a) and trabecular (b) bone-implant interface for implants 8 and A (see
<xref ref-type="fig" rid="fig1">Figure 1</xref>
) and with a crestal positioning characterized by different levels of crestal bone loss. (c) Overloading risk index
<italic>R</italic>
. Average (bars) and peak (lines) values.</p>
</caption>
<graphic xlink:href="CMMM2013-250929.012"></graphic>
</fig>
</floats-group>
</pmc>
<affiliations>
<list>
<country>
<li>Italie</li>
</country>
<region>
<li>Latium</li>
</region>
<settlement>
<li>Rome</li>
</settlement>
</list>
<tree>
<country name="Italie">
<region name="Latium">
<name sortKey="Vairo, Giuseppe" sort="Vairo, Giuseppe" uniqKey="Vairo G" first="Giuseppe" last="Vairo">Giuseppe Vairo</name>
</region>
<name sortKey="Sannino, Gianpaolo" sort="Sannino, Gianpaolo" uniqKey="Sannino G" first="Gianpaolo" last="Sannino">Gianpaolo Sannino</name>
</country>
</tree>
</affiliations>
</record>

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