The development of computer-aided patient-specific template design software for 3D printing in cranio-maxillofacial surgery.


Journal

The international journal of medical robotics + computer assisted surgery : MRCAS
ISSN: 1478-596X
Titre abrégé: Int J Med Robot
Pays: England
ID NLM: 101250764

Informations de publication

Date de publication:
Jun 2021
Historique:
revised: 05 02 2021
received: 02 12 2020
accepted: 08 02 2021
pubmed: 14 2 2021
medline: 21 7 2021
entrez: 13 2 2021
Statut: ppublish

Résumé

The patient-specific templates for osteotomy often have complex surface features. Using current commercial software to design such templates is quite complicated, tedious and unrepeatable. In this study, a novel surgical planning system for oral and maxillofacial surgery named EasyTemplate is developed, aiming to help doctors shorten the modelling time and assure the reliability in template design. In the simplified design process of an osteotomy guide, the main template can be formed efficiently using a surface offsetting algorithm, which is based on isosurface extraction and oriented bounding box. Thereafter, the cutting grooves can be generated automatically. A complicated surgical guide could be built accurately in about 10 min. Clinical orthognathic cases were conducted successfully using osteotomy and repositioning templates designed by EasyTemplate. Compared with commercially available softwares, higher efficiency and simpler design process were achieved, moreover, the time cost is one-third or even less. EasyTemplate can be a useful alternative to traditional softwares. This software allows the auto-generation algorithm which helps avoid a tedious modeling process while providing basic shapes for designers.

Sections du résumé

BACKGROUND BACKGROUND
The patient-specific templates for osteotomy often have complex surface features. Using current commercial software to design such templates is quite complicated, tedious and unrepeatable.
AIMS OBJECTIVE
In this study, a novel surgical planning system for oral and maxillofacial surgery named EasyTemplate is developed, aiming to help doctors shorten the modelling time and assure the reliability in template design.
MATERIALS & METHODS METHODS
In the simplified design process of an osteotomy guide, the main template can be formed efficiently using a surface offsetting algorithm, which is based on isosurface extraction and oriented bounding box. Thereafter, the cutting grooves can be generated automatically.
RESULTS RESULTS
A complicated surgical guide could be built accurately in about 10 min. Clinical orthognathic cases were conducted successfully using osteotomy and repositioning templates designed by EasyTemplate.
DISCUSSION CONCLUSIONS
Compared with commercially available softwares, higher efficiency and simpler design process were achieved, moreover, the time cost is one-third or even less.
CONCLUSION CONCLUSIONS
EasyTemplate can be a useful alternative to traditional softwares. This software allows the auto-generation algorithm which helps avoid a tedious modeling process while providing basic shapes for designers.

Identifiants

pubmed: 33580624
doi: 10.1002/rcs.2243
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e2243

Subventions

Organisme : National Key R&D Program of China
ID : 2017YFB1302900
Organisme : Shanghai Jiao Tong University Foundation on Medical and Technological Joint Science Research
ID : YG2019ZDA06
Organisme : Shanghai Jiao Tong University Foundation on Medical and Technological Joint Science Research
ID : ZH2018QNA23
Organisme : Shanghai Jiao Tong University Foundation on Medical and Technological Joint Science Research
ID : ZH2018ZDA15
Organisme : 2020 Key Research project of Xiamen Municipal Government
ID : 3502Z20201030
Organisme : Foundation of Science and Technology Commission of Shanghai Municipality
ID : 19510712200
Organisme : Foundation of Science and Technology Commission of Shanghai Municipality
ID : 20490740700
Organisme : National Natural Science Foundation of China
ID : 81828003
Organisme : National Natural Science Foundation of China
ID : 81971709
Organisme : National Natural Science Foundation of China
ID : 82011530141
Organisme : National Natural Science Foundation of China
ID : M-0019
Organisme : National Key R&D Program of China
ID : 2017YFB1104100
Organisme : 2020 Key Research project of Xiamen Municipal Government: 3502Z20201030

Informations de copyright

© 2021 John Wiley & Sons Ltd.

Références

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Auteurs

Afaque R Memon (AR)

School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China.

Dongyuan Li (D)

School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China.

Junlei Hu (J)

School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China.

Enpeng Wang (E)

School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China.

Dingzhong Zhang (D)

School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China.

Xiaojun Chen (X)

School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China.
Institute of Medical Robotics, Shanghai Jiao Tong University, Shanghai, China.
Engineering Research Center of Digital Medicine and Clinical Translation, Ministry of Education, Shanghai, China.

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