Shape Optimization for Additive Manufacturing of Removable Partial Dentures--A New Paradigm for Prosthetic CAD/CAM
With ever-growing aging population and demand for denture treatments, pressure-induced mucosa lesion and residual ridge resorption remain main sources of clinical complications. Conventional denture design and fabrication are challenged for its labor and experience intensity, urgently necessitating...
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| creator | Chen, Junning Ahmad, Rohana Suenaga, Hanako Li, Wei Sasaki, Keiichi Swain, Michael Li, Qing |
| description | With ever-growing aging population and demand for denture treatments, pressure-induced mucosa lesion and residual ridge resorption remain main sources of clinical complications. Conventional denture design and fabrication are challenged for its labor and experience intensity, urgently necessitating an automatic procedure. This study aims to develop a fully automatic procedure enabling shape optimization and additive manufacturing of removable partial dentures (RPD), to maximize the uniformity of contact pressure distribution on the mucosa, thereby reducing associated clinical complications. A 3D heterogeneous finite element (FE) model was constructed from CT scan, and the critical tissue of mucosa was modeled as a hyperelastic material from in vivo clinical data. A contact shape optimization algorithm was developed based on the bi-directional evolutionary structural optimization (BESO) technique. Both initial and optimized dentures were prototyped by 3D printing technology and evaluated with in vitro tests. Through the optimization, the peak contact pressure was reduced by 70%, and the uniformity was improved by 63%. In vitro tests verified the effectiveness of this procedure, and the hydrostatic pressure induced in the mucosa is well below clinical pressure-pain thresholds (PPT), potentially lessening risk of residual ridge resorption. This proposed computational optimization and additive fabrication procedure provides a novel method for fast denture design and adjustment at low cost, with quantitative guidelines and computer aided design and manufacturing (CAD/CAM) for a specific patient. The integration of digitalized modeling, computational optimization, and free-form fabrication enables more efficient clinical adaptation. The customized optimal denture design is expected to minimize pain/discomfort and potentially reduce long-term residual ridge resorption. |
| doi_str_mv | 10.1371/journal.pone.0132552 |
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Conventional denture design and fabrication are challenged for its labor and experience intensity, urgently necessitating an automatic procedure. This study aims to develop a fully automatic procedure enabling shape optimization and additive manufacturing of removable partial dentures (RPD), to maximize the uniformity of contact pressure distribution on the mucosa, thereby reducing associated clinical complications. A 3D heterogeneous finite element (FE) model was constructed from CT scan, and the critical tissue of mucosa was modeled as a hyperelastic material from in vivo clinical data. A contact shape optimization algorithm was developed based on the bi-directional evolutionary structural optimization (BESO) technique. Both initial and optimized dentures were prototyped by 3D printing technology and evaluated with in vitro tests. Through the optimization, the peak contact pressure was reduced by 70%, and the uniformity was improved by 63%. In vitro tests verified the effectiveness of this procedure, and the hydrostatic pressure induced in the mucosa is well below clinical pressure-pain thresholds (PPT), potentially lessening risk of residual ridge resorption. This proposed computational optimization and additive fabrication procedure provides a novel method for fast denture design and adjustment at low cost, with quantitative guidelines and computer aided design and manufacturing (CAD/CAM) for a specific patient. The integration of digitalized modeling, computational optimization, and free-form fabrication enables more efficient clinical adaptation. The customized optimal denture design is expected to minimize pain/discomfort and potentially reduce long-term residual ridge resorption.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0132552</identifier><identifier>PMID: 26161878</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>3-D printers ; Additive manufacturing ; Aerospace engineering ; Aging ; CAD/CAM ; CAM ; Complications ; Computed tomography ; Computer aided manufacturing ; Computer applications ; Computer-Aided Design ; Contact pressure ; Dental materials ; Dentistry ; Denture Design ; Denture, Partial, Removable ; Dentures ; Design ; Design optimization ; Evolutionary algorithms ; Fabrication ; Finite element method ; Humans ; Hydrostatic pressure ; In vitro methods and tests ; In vivo methods and tests ; Mandible - pathology ; Manufacturing ; Materials Testing ; Models, Molecular ; Mucosa ; Optimization ; Pain ; Physiology ; Pressure ; Pressure distribution ; Printing ; Prostheses ; Shape optimization ; Stress concentration ; Technology assessment ; Three dimensional models ; Three dimensional printing ; Transplants & implants ; Ultrasonic testing ; University graduates</subject><ispartof>PloS one, 2015-07, Vol.10 (7), p.e0132552-e0132552</ispartof><rights>2015 Chen et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2015 Chen et al 2015 Chen et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c643t-7bf0fd9e2d41776b248e7016843a2daea01bb9b4ce474eaec891dafe4cd0048a3</citedby><cites>FETCH-LOGICAL-c643t-7bf0fd9e2d41776b248e7016843a2daea01bb9b4ce474eaec891dafe4cd0048a3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4498620/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4498620/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,2096,2915,23845,27901,27902,53766,53768,79343,79344</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/26161878$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Chen, Junning</creatorcontrib><creatorcontrib>Ahmad, Rohana</creatorcontrib><creatorcontrib>Suenaga, Hanako</creatorcontrib><creatorcontrib>Li, Wei</creatorcontrib><creatorcontrib>Sasaki, Keiichi</creatorcontrib><creatorcontrib>Swain, Michael</creatorcontrib><creatorcontrib>Li, Qing</creatorcontrib><title>Shape Optimization for Additive Manufacturing of Removable Partial Dentures--A New Paradigm for Prosthetic CAD/CAM</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>With ever-growing aging population and demand for denture treatments, pressure-induced mucosa lesion and residual ridge resorption remain main sources of clinical complications. Conventional denture design and fabrication are challenged for its labor and experience intensity, urgently necessitating an automatic procedure. This study aims to develop a fully automatic procedure enabling shape optimization and additive manufacturing of removable partial dentures (RPD), to maximize the uniformity of contact pressure distribution on the mucosa, thereby reducing associated clinical complications. A 3D heterogeneous finite element (FE) model was constructed from CT scan, and the critical tissue of mucosa was modeled as a hyperelastic material from in vivo clinical data. A contact shape optimization algorithm was developed based on the bi-directional evolutionary structural optimization (BESO) technique. Both initial and optimized dentures were prototyped by 3D printing technology and evaluated with in vitro tests. Through the optimization, the peak contact pressure was reduced by 70%, and the uniformity was improved by 63%. In vitro tests verified the effectiveness of this procedure, and the hydrostatic pressure induced in the mucosa is well below clinical pressure-pain thresholds (PPT), potentially lessening risk of residual ridge resorption. This proposed computational optimization and additive fabrication procedure provides a novel method for fast denture design and adjustment at low cost, with quantitative guidelines and computer aided design and manufacturing (CAD/CAM) for a specific patient. The integration of digitalized modeling, computational optimization, and free-form fabrication enables more efficient clinical adaptation. The customized optimal denture design is expected to minimize pain/discomfort and potentially reduce long-term residual ridge resorption.</description><subject>3-D printers</subject><subject>Additive manufacturing</subject><subject>Aerospace engineering</subject><subject>Aging</subject><subject>CAD/CAM</subject><subject>CAM</subject><subject>Complications</subject><subject>Computed tomography</subject><subject>Computer aided manufacturing</subject><subject>Computer applications</subject><subject>Computer-Aided Design</subject><subject>Contact pressure</subject><subject>Dental materials</subject><subject>Dentistry</subject><subject>Denture Design</subject><subject>Denture, Partial, Removable</subject><subject>Dentures</subject><subject>Design</subject><subject>Design optimization</subject><subject>Evolutionary algorithms</subject><subject>Fabrication</subject><subject>Finite element method</subject><subject>Humans</subject><subject>Hydrostatic pressure</subject><subject>In vitro methods and tests</subject><subject>In vivo methods and tests</subject><subject>Mandible - pathology</subject><subject>Manufacturing</subject><subject>Materials Testing</subject><subject>Models, Molecular</subject><subject>Mucosa</subject><subject>Optimization</subject><subject>Pain</subject><subject>Physiology</subject><subject>Pressure</subject><subject>Pressure distribution</subject><subject>Printing</subject><subject>Prostheses</subject><subject>Shape optimization</subject><subject>Stress concentration</subject><subject>Technology assessment</subject><subject>Three dimensional models</subject><subject>Three dimensional printing</subject><subject>Transplants & implants</subject><subject>Ultrasonic testing</subject><subject>University graduates</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><sourceid>DOA</sourceid><recordid>eNptUttu1DAQtRCIloU_QBCJF16y9W3t5AUp2nKp1NKKy7M1cSa7XiVx6iSL4OtJdtOqRTzZmjlzZs7MIeQ1o0smNDvb-SE0UC1b3-CSMsFXK_6EnLJU8FhxKp4--J-QF123o3QlEqWekxOumGKJTk5J-L6FFqPrtne1-wO9801U-hBlReF6t8foCpqhBNsPwTWbyJfRN6z9HvIKoxsIvYMqOsdmTGMXx1n0FX9NcSjcpj4Q3QTf9VvsnY3W2fnZOrt6SZ6VUHX4an4X5Oenjz_WX-LL688X6-wytkqKPtZ5ScsiRV5IprXKuUxQU6YSKYAXgEBZnqe5tCi1RECbpKyAEqUtKJUJiAV5e-RtK9-ZeV2dYSpdCa1ToUbExRFReNiZNrgawm_jwZlDwIeNmSTaCk3Jc4mMWqFWVupc5yLhSlNVUsF5KqZuH-ZuQ15jYcedBKgekT7ONG5rNn5vpEyT6UYL8n4mCP52wK43tessVhU06IfD3IqlVKZ8hL77B_p_dfKIsuMJuoDl_TCMmslCd1VmspCZLTSWvXko5L7ozjPiL9MKxQA</recordid><startdate>20150710</startdate><enddate>20150710</enddate><creator>Chen, Junning</creator><creator>Ahmad, Rohana</creator><creator>Suenaga, Hanako</creator><creator>Li, Wei</creator><creator>Sasaki, Keiichi</creator><creator>Swain, Michael</creator><creator>Li, Qing</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20150710</creationdate><title>Shape Optimization for Additive Manufacturing of Removable Partial Dentures--A New Paradigm for Prosthetic CAD/CAM</title><author>Chen, Junning ; Ahmad, Rohana ; Suenaga, Hanako ; Li, Wei ; Sasaki, Keiichi ; Swain, Michael ; Li, Qing</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c643t-7bf0fd9e2d41776b248e7016843a2daea01bb9b4ce474eaec891dafe4cd0048a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>3-D printers</topic><topic>Additive manufacturing</topic><topic>Aerospace engineering</topic><topic>Aging</topic><topic>CAD/CAM</topic><topic>CAM</topic><topic>Complications</topic><topic>Computed tomography</topic><topic>Computer aided manufacturing</topic><topic>Computer applications</topic><topic>Computer-Aided Design</topic><topic>Contact pressure</topic><topic>Dental materials</topic><topic>Dentistry</topic><topic>Denture Design</topic><topic>Denture, Partial, Removable</topic><topic>Dentures</topic><topic>Design</topic><topic>Design optimization</topic><topic>Evolutionary algorithms</topic><topic>Fabrication</topic><topic>Finite element method</topic><topic>Humans</topic><topic>Hydrostatic pressure</topic><topic>In vitro methods and tests</topic><topic>In vivo methods and tests</topic><topic>Mandible - 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Conventional denture design and fabrication are challenged for its labor and experience intensity, urgently necessitating an automatic procedure. This study aims to develop a fully automatic procedure enabling shape optimization and additive manufacturing of removable partial dentures (RPD), to maximize the uniformity of contact pressure distribution on the mucosa, thereby reducing associated clinical complications. A 3D heterogeneous finite element (FE) model was constructed from CT scan, and the critical tissue of mucosa was modeled as a hyperelastic material from in vivo clinical data. A contact shape optimization algorithm was developed based on the bi-directional evolutionary structural optimization (BESO) technique. Both initial and optimized dentures were prototyped by 3D printing technology and evaluated with in vitro tests. Through the optimization, the peak contact pressure was reduced by 70%, and the uniformity was improved by 63%. In vitro tests verified the effectiveness of this procedure, and the hydrostatic pressure induced in the mucosa is well below clinical pressure-pain thresholds (PPT), potentially lessening risk of residual ridge resorption. This proposed computational optimization and additive fabrication procedure provides a novel method for fast denture design and adjustment at low cost, with quantitative guidelines and computer aided design and manufacturing (CAD/CAM) for a specific patient. The integration of digitalized modeling, computational optimization, and free-form fabrication enables more efficient clinical adaptation. The customized optimal denture design is expected to minimize pain/discomfort and potentially reduce long-term residual ridge resorption.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>26161878</pmid><doi>10.1371/journal.pone.0132552</doi><oa>free_for_read</oa></addata></record> |
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| subjects | 3-D printers Additive manufacturing Aerospace engineering Aging CAD/CAM CAM Complications Computed tomography Computer aided manufacturing Computer applications Computer-Aided Design Contact pressure Dental materials Dentistry Denture Design Denture, Partial, Removable Dentures Design Design optimization Evolutionary algorithms Fabrication Finite element method Humans Hydrostatic pressure In vitro methods and tests In vivo methods and tests Mandible - pathology Manufacturing Materials Testing Models, Molecular Mucosa Optimization Pain Physiology Pressure Pressure distribution Printing Prostheses Shape optimization Stress concentration Technology assessment Three dimensional models Three dimensional printing Transplants & implants Ultrasonic testing University graduates |
| title | Shape Optimization for Additive Manufacturing of Removable Partial Dentures--A New Paradigm for Prosthetic CAD/CAM |
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