3D printing for developing patient specific cosmetic prosthetics at the point of care

2020 ◽  
Vol 80 ◽  
pp. 241-242 ◽  
Author(s):  
Daniel J. Thomas ◽  
Deepti Singh
Keyword(s):  
3D Printing ◽  
Point Of Care ◽  
Patient Specific

scholarly journals Assessing Variability in Segmentation Algorithms for 3D Printing at the Point of Care

2021 ◽  
Author(s):  
Magdalene Fogarasi ◽  
James C Coburn ◽  
Beth Ripley
Keyword(s):  
3D Printing ◽  
Point Of Care ◽  
Clinical Intervention ◽  
Critical Parameters ◽  
Patient Specific ◽  
Anatomical Location ◽  
3D Print ◽  
Software Applications ◽  
Global And Local ◽  
Geometric Variation

Abstract Background: 3D Printing (3DP) has enabled medical professionals to create patient specific medical devices to assist in surgical planning. Anatomical models can be generated from patient scans using a wide array of software, but there are limited studies on the geometric variance that is introduced during the digital conversion of images to model. Final accuracy of the 3D printed model is a function of manufacturing hardware quality control and the variability introduced during the multiple digital steps that convert patient scans to a printable format. This study provides a brief summary of common algorithms used for segmentation and their principal features. We also identify critical parameters and steps in the workflow where geometric variation may be introduced. We then provide suggested methods to measure or reduce the variation and mitigate these risks. Methods: Using a clinical head CT scan of a mandible containing a tumor, we performed segmentations in four separate programs using workflows optimized for each. Differences in segmentation were calculated using several techniques.Results: Visual inspection of print-ready models showed distinct differences in the thickness of the medial wall of the mandible adjacent to the tumor. Residual volumes were calculated to generate pairwise agreement and disagreement percentages between each as program’s model. For the relevant ROIs, statistically significant differences were found globally in the volume and surface area comparisons between final bone and tumor models, as well locally between nerve centroid measurements – major variance introduced due to workflow is highlighted in difference heat maps. As with all clinical use cases, statistically significant results must be weighed against the clinical significance of any deviations found. Conclusions: Statistically significant geometric variations can be introduced to patient specific models from differences in software applications. The global and local variations should be evaluated for a full understanding of geometric variations. The clinical implications of these variations vary by anatomical location and should be evaluated on a case-by-case basis by certified clinicians. Understanding the basic functions of segmentation and 3D print preparation software is essential for users intending to adopt the use of patient specific models for clinical intervention or decision making.

scholarly journals Assessing Variability in Segmentation Algorithms for 3D Printing at the Point of Care

2021 ◽  
Author(s):  
Magdalene Fogarasi ◽  
James Coburn ◽  
Beth Ripley
Keyword(s):  
3D Printing ◽  
Point Of Care ◽  
Clinical Intervention ◽  
Critical Parameters ◽  
Patient Specific ◽  
Anatomical Location ◽  
3D Print ◽  
Software Applications ◽  
Global And Local ◽  
Geometric Variation

Abstract Background: 3D printing (3DP) has enabled medical professionals to create patient-specific medical devices to assist in surgical planning. Anatomical models can be generated from patient scans using a wide array of software, but there are limited studies on the geometric variance that is introduced during the digital conversion of images to models. The final accuracy of the 3D printed model is a function of manufacturing hardware quality control and the variability introduced during the multiple digital steps that convert patient scans to a printable format. This study provides a brief summary of common algorithms used for segmentation and their principal features. We also identify critical parameters and steps in the workflow where geometric variation may be introduced. We then provide suggested methods to measure or reduce the variation and mitigate these risks.Methods: Using a clinical head CT scan of a mandible containing a tumor, we performed segmentations in four separate programs using workflows optimized for each. Differences in segmentation were calculated using several techniques.Results: Visual inspection of print-ready models showed distinct differences in the thickness of the medial wall of the mandible adjacent to the tumor. Residual volumes were calculated to generate pairwise agreement and disagreement percentages between each as the program’s model. For the relevant ROIs, statistically significant differences were found globally in the volume and surface area comparisons between final bone and tumor models, as well locally between nerve centroid measurements – major variance introduced due to workflow is highlighted in difference heat maps. As with all clinical use cases, statistically significant results must be weighed against the clinical significance of any deviations found.Conclusions: Statistically significant geometric variations can be introduced to patient-specific models from differences in software applications. The global and local variations should be evaluated for a full understanding of geometric variations. The clinical implications of these variations vary by anatomical location and should be evaluated on a case-by-case basis by certified clinicians. Understanding the basic functions of segmentation and 3D print preparation software is essential for users intending to adopt the use of patient-specific models for clinical intervention or decision making.

scholarly journals From print to patient: 3D-printed personalized nerve regeneration

2016 ◽  
Vol 38 (4) ◽  
pp. 28-31 ◽  
Author(s):  
Blake N. Johnson ◽  
Michael C. McAlpine
Keyword(s):  
3D Printing ◽  
Point Of Care ◽  
Implantable Devices ◽  
Patient Specific ◽  
Biological Design ◽  
Surgical Methods ◽  
Biological Discovery ◽  
3D Printed ◽  
Multiple Materials ◽  
Scientific Standards

3D printing is revolutionizing regenerative medicine and accelerating the pace of biological discovery via its ability to interweave materials and components of disparate properties, guided by anatomical digital templates. These capabilities have led to a breakthrough in the customization and personalization of complex biological systems and devices ranging from platform technologies such as organs-on-a-chip, to implantable devices, such as patient-specific scaffolds. Yet, understanding and regenerating the nervous system has historically provided a challenging benchmark for drug therapy, surgical methods and bioengineering strategies. The question we pose is can: 3D printing be utilized to address these scientific standards? In principle, extrusion-based 3D printing should offer the ability to flexibly interweave multiple materials, over various length scales, while incorporating diverse functionalities. This may allow the ability to expand biological design paradigms and develop them into novel personalized device architectures. Indeed, 3D printing appears poised to offer an exciting future in the realization of personalized anatomical nerve pathways and platforms for point-of-care opportunities from print to patient.

scholarly journals In-Hospital 3D Printed Scaphoid Prosthesis Using Medical-Grade Polyetheretherketone (PEEK) Biomaterial

2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Philipp Honigmann ◽  
Neha Sharma ◽  
Ralf Schumacher ◽  
Jasmine Rueegg ◽  
Mathias Haefeli ◽  
...  
Keyword(s):  
3D Printing ◽  
Point Of Care ◽  
Low Cost ◽  
Three Dimensional ◽  
Patient Specific ◽  
Fused Filament Fabrication ◽  
Patient Specific Implants ◽  
Surgical Guides ◽  
3D Printed ◽  
Medical Grade

Recently, three-dimensional (3D) printing has become increasingly popular in the medical sector for the production of anatomical biomodels, surgical guides, and prosthetics. With the availability of low-cost desktop 3D printers and affordable materials, the in-house or point-of-care manufacturing of biomodels and Class II medical devices has gained considerable attention in personalized medicine. Another projected development in medical 3D printing for personalized treatment is the in-house production of patient-specific implants (PSIs) for partial and total bone replacements made of medical-grade material such as polyetheretherketone (PEEK). We present the first in-hospital 3D printed scaphoid prosthesis using medical-grade PEEK with fused filament fabrication (FFF) 3D printing technology.

scholarly journals Point-of-Care 3D Printing: a Low-Cost Approach to Teaching Carotid Artery Stenting

2021 ◽  
Author(s):  
Pieter De Backer ◽  
Charlotte Allaeys ◽  
Charlotte Debbaut ◽  
Roel Beelen
Keyword(s):  
3D Printing ◽  
Carotid Artery ◽  
Carotid Artery Stenting ◽  
3D Model ◽  
Point Of Care ◽  
Low Cost ◽  
Patient Specific ◽  
Stent Deployment ◽  
Invasive Approach ◽  
Minimal Invasive Approach

Abstract Background Carotid Artery Stenting (CAS) is increasingly being used in selected patients as a minimal invasive approach to carotid endarterectomy. Despite the abundance of performed endovascular treatments, the concept of stent-placement is still unclear to many patients. Furthermore, visual feedback on stent-deployment is difficult to obtain as it is always performed under radiographic feedback. Three-Dimensional (3D) printing might tackle both challenges. A particular use case of Point-of-Care 3D Printing is the pretreatment printing of vascular anatomy in support of endovascular procedures. Purpose This study reports the first use of a low-cost patient-specific 3D printed model for CAS education to both experienced surgeons and patients. Methodology An angio computed tomography (CT) scan was segmented and converted to STL format using Mimics inPrint™ software. The carotid arteries were bilaterally truncated to fit the whole model on a Formlabs 2 printer without omitting the internal vessel diameter. Next, this model was offset using a 1 mm margin. A ridge was modelled on the original vessel anatomy which was subsequently subtracted from the offset model in order to obtain a deroofed 3D model. All vessels were truncated as to facilitate flow on the inside. Results Date-expired carotid artery stents were successfully deployed inside the vessel. The deroofing allows for clear visualization of the bottlenecks and characteristics of CAS deployment and positioning, including foreshortening and tapering of the stent. This low-cost 3D model provides insights in stent deployment and positioning, and allows for patient-specific procedure planning. Conclusion Printing patient-specific 3D models preoperatively could assist in accurate patient selection, a better preoperative planning and case-specific training. Furthermore, this 3D model also allows for better patient education and informed consent. However, more research is warranted to evaluate the added value of these models.

scholarly journals Quantitative Assessment of Point-of-Care 3D-Printed Patient-Specific Polyetheretherketone (PEEK) Cranial Implants

2021 ◽  
Vol 22 (16) ◽  
pp. 8521
Author(s):  
Neha Sharma ◽  
Soheila Aghlmandi ◽  
Federico Dalcanale ◽  
Daniel Seiler ◽  
Hans-Florian Zeilhofer ◽  
...  
Keyword(s):  
3D Printing ◽  
Quantitative Assessment ◽  
Point Of Care ◽  
Peak Load ◽  
Dimensional Accuracy ◽  
Patient Specific ◽  
Study Results ◽  
3D Printed ◽  
Cranial Implants ◽  
Accuracy And Repeatability

Recent advancements in medical imaging, virtual surgical planning (VSP), and three-dimensional (3D) printing have potentially changed how today’s craniomaxillofacial surgeons use patient information for customized treatments. Over the years, polyetheretherketone (PEEK) has emerged as the biomaterial of choice to reconstruct craniofacial defects. With advancements in additive manufacturing (AM) systems, prospects for the point-of-care (POC) 3D printing of PEEK patient-specific implants (PSIs) have emerged. Consequently, investigating the clinical reliability of POC-manufactured PEEK implants has become a necessary endeavor. Therefore, this paper aims to provide a quantitative assessment of POC-manufactured, 3D-printed PEEK PSIs for cranial reconstruction through characterization of the geometrical, morphological, and biomechanical aspects of the in-hospital 3D-printed PEEK cranial implants. The study results revealed that the printed customized cranial implants had high dimensional accuracy and repeatability, displaying clinically acceptable morphologic similarity concerning fit and contours continuity. From a biomechanical standpoint, it was noticed that the tested implants had variable peak load values with discrete fracture patterns and failed at a mean (SD) peak load of 798.38 ± 211.45 N. In conclusion, the results of this preclinical study are in line with cranial implant expectations; however, specific attributes have scope for further improvements.

3D Printing & Pharmaceutical Manufacturing: Opportunities and Challenges

2016 ◽  
Vol 5 (01) ◽  
pp. 4723 ◽  
Author(s):  
Bhusnure O. G.* ◽  
Gholve V. S. ◽  
Sugave B. K. ◽  
Dongre R. C. ◽  
Gore S. A. ◽  
...  
Keyword(s):  
Drug Delivery ◽  
Tissue Engineering ◽  
3D Printing ◽  
Computer Aided Design ◽  
Patient Specific ◽  
Computer Design ◽  
3D Scaffolds ◽  
Engineering Research ◽  
Advantages And Disadvantages ◽  
Computer Aided

Many researchers have attempted to use computer-aided design (C.A.D) and computer-aided manufacturing (CAM) to realize a scaffold that provides a three-dimensional (3D) environment for regeneration of tissues and organs. As a result, several 3D printing technologies, including stereolithography, deposition modeling, inkjet-based printing and selective laser sintering have been developed. Because these 3D printing technologies use computers for design and fabrication, and they can fabricate 3D scaffolds as designed; as a consequence, they can be standardized. Growth of target tissues and organs requires the presence of appropriate growth factors, so fabrication of 3Dscaffold systems that release these biomolecules has been explored. A drug delivery system (D.D.S) that administrates a pharmaceutical compound to achieve a therapeutic effect in cells, animals and humans is a key technology that delivers biomolecules without side effects caused by excessive doses. 3D printing technologies and D. D. Ss have been assembled successfully, so new possibilities for improved tissue regeneration have been suggested. If the interaction between cells and scaffold system with biomolecules can be understood and controlled, and if an optimal 3D tissue regenerating environment is realized, 3D printing technologies will become an important aspect of tissue engineering research in the near future. 3D Printing promises to produce complex biomedical devices according to computer design using patient-specific anatomical data. Since its initial use as pre-surgical visualization models and tooling molds, 3D Printing has slowly evolved to create one-of-a-kind devices, implants, scaffolds for tissue engineering, diagnostic platforms, and drug delivery systems. Fuelled by the recent explosion in public interest and access to affordable printers, there is renewed interest to combine stem cells with custom 3D scaffolds for personalized regenerative medicine. Before 3D Printing can be used routinely for the regeneration of complex tissues (e.g. bone, cartilage, muscles, vessels, nerves in the craniomaxillofacial complex), and complex organs with intricate 3D microarchitecture (e.g. liver, lymphoid organs), several technological limitations must be addressed. Until recently, tablet designs had been restricted to the relatively small number of shapes that are easily achievable using traditional manufacturing methods. As 3D printing capabilities develop further, safety and regulatory concerns are addressed and the cost of the technology falls, contract manufacturers and pharmaceutical companies that experiment with these 3D printing innovations are likely to gain a competitive edge. This review compose the basics, types & techniques used, advantages and disadvantages of 3D printing

scholarly journals 3D Printed Imaging Platform for Portable Cell Counting

The Analyst ◽  
2021 ◽  
Author(s):  
Diwakar M. Awate ◽  
Cicero C. Pola ◽  
Erica Shumaker ◽  
Carmen L Gomes ◽  
Jaime Javier Juarez
Keyword(s):  
3D Printing ◽  
Point Of Care ◽  
Cost Effective ◽  
Cell Counting ◽  
Biomedical Sciences ◽  
Widespread Application ◽  
Resource Limited ◽  
Cost Effective Approach ◽  
3D Printed

Despite having widespread application in the biomedical sciences, flow cytometers have several limitations that prevent their application to point-of-care (POC) diagnostics in resource-limited environments. 3D printing provides a cost-effective approach...

Sign in / Sign up

Export Citation Format

Share Document