scholarly journals Computer-aided autotransplantation of teeth with 3D printed surgical guides and arch bar: a preliminary experience

PeerJ ◽  
2018 ◽  
Vol 6 ◽  
pp. e5939 ◽  
Author(s):  
Wei He ◽  
Kaiyue Tian ◽  
Xiaoyan Xie ◽  
Enbo Wang ◽  
Nianhui Cui
Keyword(s):  
Survival Rate ◽  
Success Rate ◽  
Three Dimensional ◽  
Three Dimensional Printing ◽  
Surgical Guides ◽  
Arch Bar ◽  
Novel Approach ◽  
Computer Aided ◽  
Wisdom Teeth ◽  
Accuracy And Stability

Background/Aim Autotransplantation of teeth is a method to restore the missing teeth and computer-aided techniques have been applied in this field. The aim of this study was to describe a novel approach for computer-aided autotransplantation of teeth and to preliminarily assess its feasibility, accuracy, and stability. Methods Eight wisdom teeth with complete root formation of eight adult patients were autotransplanted. Individual replicas of donor teeth with local splints, surgical templates, and arch bars were virtually designed and fabricated using three-dimensional printing, these were then applied in the autotransplantation surgeries. Clinical and radiological outcomes were observed, the extra-alveolar time, success rate, and 1-year survival rate were analyzed, and accuracy and stability of this approach were evaluated. Results The extra-alveolar time of donor teeth were less than 3 min. The average follow-up duration was 2.00 ± 1.06 years. All autotransplanted teeth showed normal masticatory function. Ankylosis was found in one patient, and the overall success rate was 87.5%, whereas the 1-year survival rate was 100%. Linear differences between the designed and the immediate autotransplanted positions at crowns and apexes of the donor teeth were 1.43 ± 0.57 and 1.77 ± 0.67 mm, respectively. Linear differences between immediate and the stable positions at crowns and apexes of the donor teeth were 0.66 ± 0.36 and 0.67 ± 0.48 mm, respectively. Conclusion The present study illustrated the feasibility, clinical satisfied accuracy, and stability of a novel approach for computer-aided autotransplantation of teeth. This new approach facilitated the surgical procedure and might be a viable and predictable method for autotransplantation of teeth.

Computer-aided design and three-dimensional printing improves symmetry in heminasal reconstruction outcomes

2019 ◽  
Vol 72 (7) ◽  
pp. 1198-1206 ◽  
Author(s):  
Cheng-I Yen ◽  
Jonathan A. Zelken ◽  
Chun-Shin Chang ◽  
Lun-Jou Lo ◽  
Jui-Yung Yang ◽  
...  
Keyword(s):  
Computer Aided Design ◽  
Three Dimensional ◽  
Three Dimensional Printing ◽  
Computer Aided ◽  
Aided Design ◽  
Dimensional Printing

Computer-aided design and three-dimensional printing in the manufacturing of an ocular prosthesis

2016 ◽  
Vol 100 (7) ◽  
pp. 879-881 ◽  
Author(s):  
Sébastien Ruiters ◽  
Yi Sun ◽  
Stéphan de Jong ◽  
Constantinus Politis ◽  
Ilse Mombaerts
Keyword(s):  
Computer Aided Design ◽  
Three Dimensional ◽  
Three Dimensional Printing ◽  
Ocular Prosthesis ◽  
Computer Aided ◽  
Aided Design ◽  
Dimensional Printing

scholarly journals Three-dimensional printing of a patient-specific engineered nasal cartilage for augmentative rhinoplasty

2019 ◽  
Vol 10 ◽  
pp. 204173141882479 ◽  
Author(s):  
Hee-Gyeong Yi ◽  
Yeong-Jin Choi ◽  
Jin Woo Jung ◽  
Jinah Jang ◽  
Tae-Ha Song ◽  
...  
Keyword(s):  
Stem Cells ◽  
Computer Aided Design ◽  
Three Dimensional ◽  
Patient Specific ◽  
Adipose Derived Stem Cells ◽  
Three Dimensional Printing ◽  
Nasal Cartilage ◽  
Computer Aided ◽  
Aided Design ◽  
Dimensional Printing

Autologous cartilages or synthetic nasal implants have been utilized in augmentative rhinoplasty to reconstruct the nasal shape for therapeutic and cosmetic purposes. Autologous cartilage is considered to be an ideal graft, but has drawbacks, such as limited cartilage source, requirements of additional surgery for obtaining autologous cartilage, and donor site morbidity. In contrast, synthetic nasal implants are abundantly available but have low biocompatibility than the autologous cartilages. Moreover, the currently used nasal cartilage grafts involve additional reshaping processes, by meticulous manual carving during surgery to fit the diverse nose shape of each patient. The final shapes of the manually tailored implants are highly dependent on the surgeons’ proficiency and often result in patient dissatisfaction and even undesired separation of the implant. This study describes a new process of rhinoplasty, which integrates three-dimensional printing and tissue engineering approaches. We established a serial procedure based on computer-aided design to generate a three-dimensional model of customized nasal implant, and the model was fabricated through three-dimensional printing. An engineered nasal cartilage implant was generated by injecting cartilage-derived hydrogel containing human adipose-derived stem cells into the implant containing the octahedral interior architecture. We observed remarkable expression levels of chondrogenic markers from the human adipose-derived stem cells grown in the engineered nasal cartilage with the cartilage-derived hydrogel. In addition, the engineered nasal cartilage, which was implanted into mouse subcutaneous region, exhibited maintenance of the exquisite shape and structure, and striking formation of the cartilaginous tissues for 12 weeks. We expect that the developed process, which combines computer-aided design, three-dimensional printing, and tissue-derived hydrogel, would be beneficial in generating implants of other types of tissue.

scholarly journals Development of a computer-aided engineering–supported process for the manufacturing of customized orthopaedic devices by three-dimensional printing onto textile surfaces

2020 ◽  
Vol 15 ◽  
pp. 155892502091762
Author(s):  
Dustin Ahrendt ◽  
Arturo Romero Karam
Keyword(s):  
Three Dimensional ◽  
Computer Aided Engineering ◽  
Two Dimensional ◽  
Three Dimensional Printing ◽  
Textile Materials ◽  
Fused Deposition ◽  
Custom Made ◽  
Computer Aided ◽  
Dimensional Printing ◽  
Textile Fabric

Today, additive manufacturing, also called three-dimensional printing, is used for producing prototypes as well as other products for various industrial sectors. Although this technology is already well established in the automotive, aviation and space travel, building, dental and medical sectors, its integration in the textile and ready-made industry is still in progress. At present, there is a lack of specific application scenarios for the combination of three-dimensional printing and textile materials, apart from fashion and shoe design. Hence, this article presents a digital computer-aided engineering–supported process to manufacture customized orthopaedic devices by three-dimensional printing directly onto a textile fabric. State-of-the-art fabrication methods for orthoses are typically labour intensive. The combination of three-dimensional scanning, computer-aided design modelling and three-dimensional printing onto textile materials open up new possibilities for producing custom-made products. After three-dimensional scanning of a patient’s individual body shape, the surface is prepared for constructing the textile pattern cuts by reverse engineering. The transformation of the designed three-dimensional patterns into two-dimensional is software supported. Additional positioning lines in accordance with specific body measurements are transferred onto the two-dimensional pattern cuts, which are then used as the basis for the design of the three-dimensional printed functional elements. Subsequently, the design is saved in STL (Standard Triangulation/Tessellation Language) file format, prepared by slicing and directly printed onto textile pattern cuts by means of fused deposition modelling. The last manufacturing step involves the assembly of the textile fabric. The proposed process is demonstrated by an example application scenario, thus proving its potential for industrial use in the textile and ready-made industry.

scholarly journals A Generative Approach for Scheduling Multi-Robot Cooperative Three-Dimensional Printing

2020 ◽  
Vol 20 (6) ◽  
Author(s):  
Laxmi Poudel ◽  
Wenchao Zhou ◽  
Zhenghui Sha
Keyword(s):  
Three Dimensional ◽  
Solution Space ◽  
Geometric Constraints ◽  
Human Cognition ◽  
Optimization Approach ◽  
Three Dimensional Printing ◽  
Novel Approach ◽  
Dependency Tree ◽  
Complicated Geometry ◽  
Generative Approach

Abstract Cooperative 3D printing (C3DP) is a novel approach to additive manufacturing, where multiple printhead-carrying mobile robots work cooperatively to print the desired part. The core of C3DP is the chunk-based printing strategy in which the desired part is first split into smaller chunks and then the chunks are assigned to individual robots to print and bond. These robots will work simultaneously in a scheduled sequence to print the entire part. Although promising, C3DP lacks a generative approach that enables automatic chunking and scheduling. In this study, we aim to develop a generative approach that can automatically generate different print schedules for a chunked object by exploring a larger solution space that is often beyond the capability of human cognition. The generative approach contains (1) a random generator of diverse print schedules based on an adjacency matrix that represents a directed dependency tree structure of chunks; (2) a set of geometric constraints against which the randomly generated schedules will be checked for validation, and (3) a printing time evaluator for comparing the performance of all valid schedules. We demonstrate the efficacy of the generative approach using two case studies: a large simple rectangular bar and a miniature folding sport utility vehicle (SUV) with more complicated geometry. This study demonstrates that the generative approach can generate a large number of different print schedules for collision-free C3DP, which cannot be explored solely using human heuristics. This generative approach lays the foundation for building the optimization approach of C3DP scheduling.

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