PMID- 26161878
OWN - NLM
STAT- MEDLINE
DCOM- 20160419
LR  - 20181113
IS  - 1932-6203 (Electronic)
IS  - 1932-6203 (Linking)
VI  - 10
IP  - 7
DP  - 2015
TI  - Shape Optimization for Additive Manufacturing of Removable Partial Dentures--A 
      New Paradigm for Prosthetic CAD/CAM.
PG  - e0132552
LID - 10.1371/journal.pone.0132552 [doi]
LID - e0132552
AB  - 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.
FAU - Chen, Junning
AU  - Chen J
AD  - School of Aerospace, Mechanical and Mechatronic Engineering, the University of 
      Sydney, Sydney, NSW 2006, Australia.
FAU - Ahmad, Rohana
AU  - Ahmad R
AD  - Unit of Prosthodontics, Faculty of Dentistry, Shah Alam & Integrative 
      Pharmacogenomics Institute (iPROMISE), Universiti Teknologi MARA, Bandar Puncak 
      Alam, Selangor, 42300, Malaysia.
FAU - Suenaga, Hanako
AU  - Suenaga H
AD  - Division of Preventive Dentistry, Tohoku University Graduate School of Dentistry, 
      4-1 Seiryo-machi, Aoba-ku, Sendai, 980-8575, Japan.
FAU - Li, Wei
AU  - Li W
AD  - School of Aerospace, Mechanical and Mechatronic Engineering, the University of 
      Sydney, Sydney, NSW 2006, Australia.
FAU - Sasaki, Keiichi
AU  - Sasaki K
AD  - Division of Advanced Prosthetic Dentistry, Tohoku University Graduate School of 
      Dentistry, 4-1 Seiryo-machi, Aoba-ku, Sendai, 980-8575, Japan.
FAU - Swain, Michael
AU  - Swain M
AD  - Faculty of Dentistry, The University of Sydney, Sydney, NSW 2006, Australia.
FAU - Li, Qing
AU  - Li Q
AD  - School of Aerospace, Mechanical and Mechatronic Engineering, the University of 
      Sydney, Sydney, NSW 2006, Australia.
LA  - eng
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
DEP - 20150710
PL  - United States
TA  - PLoS One
JT  - PloS one
JID - 101285081
SB  - IM
MH  - *Computer-Aided Design
MH  - *Denture Design
MH  - *Denture, Partial, Removable
MH  - Humans
MH  - Mandible/pathology
MH  - Materials Testing
MH  - Models, Molecular
MH  - Pressure
PMC - PMC4498620
COIS- Competing Interests: The authors have declared that no competing interests exist.
EDAT- 2015/07/15 06:00
MHDA- 2016/04/20 06:00
PMCR- 2015/07/10
CRDT- 2015/07/11 06:00
PHST- 2015/01/19 00:00 [received]
PHST- 2015/06/17 00:00 [accepted]
PHST- 2015/07/11 06:00 [entrez]
PHST- 2015/07/15 06:00 [pubmed]
PHST- 2016/04/20 06:00 [medline]
PHST- 2015/07/10 00:00 [pmc-release]
AID - PONE-D-15-00665 [pii]
AID - 10.1371/journal.pone.0132552 [doi]
PST - epublish
SO  - PLoS One. 2015 Jul 10;10(7):e0132552. doi: 10.1371/journal.pone.0132552. 
      eCollection 2015.