3D printing in medicine最新文献

{"title":"Development and evaluation of a facile mesh-to-surface tool for customised wheelchair cushions.","authors":"Susan Nace,&nbsp;John Tiernan,&nbsp;Aisling Ní Annaidh,&nbsp;Donal Holland","doi":"10.1186/s41205-022-00165-5","DOIUrl":"https://doi.org/10.1186/s41205-022-00165-5","url":null,"abstract":"<p><strong>Background: </strong>Custom orthoses are becoming more commonly prescribed for upper and lower limbs. They require some form of shape-capture of the body parts they will be in contact with, which generates an STL file that designers prepare for manufacturing. For larger devices such as custom-contoured wheelchair cushions, the STL created during shape-capture can contain hundreds of thousands of tessellations, making them difficult to alter and prepare for manufacturing using mesh-editing software. This study covers the development and testing of a mesh-to-surface workflow in a parametric computer-aided design software using its visual programming language such that STL files of custom wheelchair cushions can be efficiently converted into a parametric single surface.</p><p><strong>Methods: </strong>A volunteer in the clinical space with expertise in computer-aided design aided was interviewed to understand and document the current workflow for creating a single surface from an STL file of a custom wheelchair cushion. To understand the user needs of typical clinical workers with little computer-aided design experience, potential end-users of the process were tasked with completing the workflow and providing feedback during the experience. This feedback was used to automate part of the computer-aided design process using a visual programming tool, creating a new semi-automated workflow for mesh-to-surface translation. Both the original and semi-automated process were then evaluated by nine volunteers with varying levels of computer-aided design experience.</p><p><strong>Results: </strong>The semi-automated process showed a 37% reduction in the total number of steps required to convert an STL model to a parametric surface. Regardless of previous computer-aided design experience, volunteers completed the semi-automated workflow 31% faster on average than the manual workflow.</p><p><strong>Conclusions: </strong>The creation of a semi-automated process for creating a single parametric surface of a custom wheelchair cushion from an STL mesh makes mesh-to-surface conversion more efficient and more user-friendly to all, regardless of computer-aided design experience levels. The steps followed in this study may guide others in the development of their own mesh-to-surface tools in the wheelchair sector, as well as those creating other large custom prosthetic devices.</p>","PeriodicalId":72036,"journal":{"name":"3D printing in medicine","volume":"9 1","pages":"3"},"PeriodicalIF":0.0,"publicationDate":"2023-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9926538/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10738558","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Comparative effectiveness of virtual reality (VR) vs 3D printed models of congenital heart disease in resident and nurse practitioner educational experience.","authors":"Jonathan Awori,&nbsp;Seth D Friedman,&nbsp;Christopher Howard,&nbsp;Richard Kronmal,&nbsp;Sujatha Buddhe","doi":"10.1186/s41205-022-00164-6","DOIUrl":"https://doi.org/10.1186/s41205-022-00164-6","url":null,"abstract":"<p><strong>Background: </strong>Medical trainees frequently note that cardiac anatomy is difficult to conceive within a two dimensional framework. The specific anatomic defects and the subsequent pathophysiology in flow dynamics may become more apparent when framed in three dimensional models. Given the evidence of improved comprehension using such modeling, this study aimed to contribute further to that understanding by comparing Virtual Reality (VR) and 3D printed models (3DP) in medical education.</p><p><strong>Objectives: </strong>We sought to systematically compare the perceived subjective effectiveness of Virtual Reality (VR) and 3D printed models (3DP) in the educational experience of residents and nurse practitioners.</p><p><strong>Methods: </strong>Trainees and practitioners underwent individual 15-minute teaching sessions in which features of a developmentally typical heart as well as a congenitally diseased heart were demonstrated using both Virtual Reality (VR) and 3D printed models (3DP). Participants then briefly explored each modality before filling out a short survey in which they identified which model (3DP or VR) they felt was more effective in enhancing their understanding of cardiac anatomy and associated pathophysiology. The survey included a binary summative assessment and a series of Likert scale questions addressing usefulness of each model type and degree of comfort with each modality.</p><p><strong>Results: </strong>Twenty-seven pediatric residents and 3 nurse practitioners explored models of a developmentally typical heart and tetralogy of Fallot pathology. Most participants had minimal prior exposure to VR (1.1 ± 0.4) or 3D printed models (2.1 ± 1.5). Participants endorsed a greater degree of understanding with VR models (8.5 ± 1) compared with 3D Printed models (6.3 ± 1.8) or traditional models of instruction (5.5 ± 1.5) p < 0.001. Most participants felt comfortable with modern technology (7.6 ± 2.1). 87% of participants preferred VR over 3DP.</p><p><strong>Conclusions: </strong>Our study shows that, overall, VR was preferred over 3DP models by pediatric residents and nurse practitioners for understanding cardiac anatomy and pathophysiology.</p>","PeriodicalId":72036,"journal":{"name":"3D printing in medicine","volume":"9 1","pages":"2"},"PeriodicalIF":0.0,"publicationDate":"2023-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9918815/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10712081","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Advanced Image Segmentation and Modeling - A Review of the 2021-2022 Thematic Series.","authors":"Prashanth Ravi","doi":"10.1186/s41205-022-00163-7","DOIUrl":"https://doi.org/10.1186/s41205-022-00163-7","url":null,"abstract":"<p><p>Medical 3D printing is a form of manufacturing that benefits patient care, particularly when the 3D printed part is patient-specific and either enables or facilitates an intervention for a specific condition. Most of the patient-specific medical 3D printing begins with volume based medical images of the patient. Several digital manipulations are typically performed to prescribe a final anatomic representation that is then 3D printed. Among these are image segmentation where a volume of interest such as an organ or a set of tissues is digitally extracted from the volumetric imaging data. Image segmentation requires medical expertise, training, software, and effort. The theme of image segmentation has a broad intersection with medical 3D printing. The purpose of this editorial is to highlight different points of that intersection in a recent thematic series within 3D Printing in Medicine.</p>","PeriodicalId":72036,"journal":{"name":"3D printing in medicine","volume":"9 1","pages":"1"},"PeriodicalIF":0.0,"publicationDate":"2023-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9872408/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9172166","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evaluating surface coatings to reduce bone cement adhesion to point of care 3D printed molds in the intraoperative setting.","authors":"Brian Beitler,&nbsp;Gregory R Roytman,&nbsp;Grace Parmer,&nbsp;Steven M Tommasini,&nbsp;Daniel H Wiznia","doi":"10.1186/s41205-022-00156-6","DOIUrl":"https://doi.org/10.1186/s41205-022-00156-6","url":null,"abstract":"<p><strong>Background: </strong>Polymethyl methacrylate, or \"bone cement,\" can be used intraoperatively to replace damaged or diseased bone and to deliver local antibiotics. 3D printed molds allow surgeons to form personalized and custom shapes with bone cement. One factor hindering the clinical utility of anatomically accurate 3D printed molds is that cured bone cement can be difficult to remove due to the strong adhesion between the mold and the bone cement. One way to reduce the adhesion between the 3D printed mold and the cured bone cement is with the use of a surface coating, such as a lubricant. This study sought to determine the optimal surface coating to prevent bone cement adhesion to 3D printed molds that could be utilized within a sterile operating room environment.</p><p><strong>Methods: </strong>Hemispheric molds were 3D printed using a stereolithography printer. The molds were coated with four sterile surface coatings available in most operating theatres (light mineral oil, bacitracin ointment, lubricating jelly, and ultrasound transmission gel). Polymethyl methacrylate with tobramycin antibiotic was mixed and poured into the molds. The amount of force needed to \"push out\" the cured bone cement from the molds was measured to determine the efficacy of each surface coating. Tukey's multiple comparison test was performed to compare the results of the pushout test.</p><p><strong>Results: </strong>The average pushout force for the surface coatings, in increasing order, were as follows (mean ± standard deviation) --- bacitracin ointment: 9.10 ± 6.68 N, mineral oil: 104.93 ± 69.92 N, lubricating jelly: 147.76 ± 63.77 N, control group: 339.31 ± 305.20 N, ultrasound transmission gel 474.11 ± 94.77 N. Only the bacitracin ointment required significantly less pushout force than the control (p = 0.0123).</p><p><strong>Conclusions: </strong>The bacitracin ointment was the most effective surface coating, allowing the bone cement to be pushed out of the mold using the least amount of force. In addition, the low standard deviation speaks to the reliability of the bacitracin ointment to reduce mold adhesion compared to the other surface coatings. Given its efficacy as well as its ubiquitous presence in the hospital operating room setting, bacitracin ointment is an excellent choice to prevent adhesion between bone cement and 3D printed molds intraoperatively.</p>","PeriodicalId":72036,"journal":{"name":"3D printing in medicine","volume":"8 1","pages":"28"},"PeriodicalIF":0.0,"publicationDate":"2022-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9373469/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9169897","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Correction: Accuracy of guide wire placement for femoral neck stabilization using 3D printed drill guides.","authors":"Gregory R Roytman,&nbsp;Alim F Ramji,&nbsp;Brian Beitler,&nbsp;Brad Yoo,&nbsp;Michael P Leslie,&nbsp;Michael Baumgaertner,&nbsp;Steven Tommasini,&nbsp;Daniel H Wiznia","doi":"10.1186/s41205-022-00153-9","DOIUrl":"https://doi.org/10.1186/s41205-022-00153-9","url":null,"abstract":"","PeriodicalId":72036,"journal":{"name":"3D printing in medicine","volume":"8 1","pages":"26"},"PeriodicalIF":0.0,"publicationDate":"2022-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9361542/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9222449","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Accuracy of guide wire placement for femoral neck stabilization using 3D printed drill guides.","authors":"Gregory R Roytman,&nbsp;Alim F Ramji,&nbsp;Brian Beitler,&nbsp;Brad Yoo,&nbsp;Michael P Leslie,&nbsp;Michael Baumgaertner,&nbsp;Steven Tommasini,&nbsp;Daniel H Wiznia","doi":"10.1186/s41205-022-00146-8","DOIUrl":"https://doi.org/10.1186/s41205-022-00146-8","url":null,"abstract":"<p><strong>Background: </strong>The goal of stabilization of the femoral neck is to limit morbidity and mortality from fracture. Of three potential methods of fixation, (three percutaneous screws, the Synthes Femoral Neck System, and a dynamic hip screw), each requires guide wire positioning of the implant(s) in the femoral neck and head. Consistent and accurate positioning of these systems is paramount to reduce surgical times, stabilize fractures effectively, and reduce complications. To help expedite surgery and achieve ideal implant positioning in the geriatric population, we have developed and validated a surgical planning methodology using 3D modelling and printing technology.</p><p><strong>Methods: </strong>Using image processing software, 3D surgical models were generated placing guide wires in a virtual model of an osteoporotic proximal femur sawbone. Three unique drill guides were created to achieve the optimal position for implant placement for each of the three different implant systems, and the guides were 3D printed. Subsequently, a trauma fellowship trained orthopedic surgeon used the 3D printed guides to position 2.8 mm diameter drill bit tipped guide wires into five osteoporotic sawbones for each of the three systems (fifteen sawbones total). Computed Tomography (CT) scans were then taken of each of the sawbones with the implants in place. 3D model renderings of the CT scans were created using image processing techniques and the displacement and angular deviations at guide wire entry to the optimal sawbone model were measured.</p><p><strong>Results: </strong>Across all three percutaneous screw guide wires, the average displacement was 3.19 ± 0.12 mm and the average angular deviation was 4.10 ± 0.17^o. The Femoral Neck System guide wires had an average displacement of 1.59 ± 0.18 mm and average angular deviation of 2.81 ± 0.64^o. The Dynamic Hip Screw had an average displacement of 1.03 ± 0.19 mm and average angular deviation of 2.59 ± 0.39^o.</p><p><strong>Conclusion: </strong>The use of custom 3D printed drill guides to assist with the positioning of guide wires proved to be accurate for each of the three types of surgical strategies. Guides which are used to place more than 1 guide wire may have lower positional accuracy, as the guide may shift during multiple wire insertions. We believe that personalized point of care drill guides provide an accurate intraoperative method for positioning implants into the femoral neck.</p>","PeriodicalId":72036,"journal":{"name":"3D printing in medicine","volume":"8 1","pages":"19"},"PeriodicalIF":0.0,"publicationDate":"2022-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9254431/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9536621","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"3D printing for surgical planning of canine oral and maxillofacial surgeries","authors":"Yu-hui Huang, Bonnie Lee, J. A. Chuy, Stephanie L Goldschmidt","doi":"10.1186/s41205-022-00142-y","DOIUrl":"https://doi.org/10.1186/s41205-022-00142-y","url":null,"abstract":"","PeriodicalId":72036,"journal":{"name":"3D printing in medicine","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47694671","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"3D printed models in pregnancy and its utility in improving psychological constructs: a case series","authors":"J. J. Coté, Brayden Patric Coté, A. Badura-Brack","doi":"10.1186/s41205-022-00144-w","DOIUrl":"https://doi.org/10.1186/s41205-022-00144-w","url":null,"abstract":"","PeriodicalId":72036,"journal":{"name":"3D printing in medicine","volume":"8 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"65780756","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evaluating a novel 3D printed model for simulating Large Loop Excision of the Transformation Zone (LLETZ)","authors":"Matthias Kiesel, Inga Beyers, A. Kalisz, A. Wöckel, Sanja Löb, Tanja Schlaiß, Christine Wulff, J. Diessner","doi":"10.1186/s41205-022-00143-x","DOIUrl":"https://doi.org/10.1186/s41205-022-00143-x","url":null,"abstract":"","PeriodicalId":72036,"journal":{"name":"3D printing in medicine","volume":"8 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"65781237","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Dimensional variability characterization of additively manufactured lattice coupons","authors":"Kirstie Snodderly, Magdalene Fogarasi, Yutika Badhe, Ankit R. Parikh, Daniel Porter, Albert Burchi, L. Gilmour, M. D. Di Prima","doi":"10.1186/s41205-022-00141-z","DOIUrl":"https://doi.org/10.1186/s41205-022-00141-z","url":null,"abstract":"","PeriodicalId":72036,"journal":{"name":"3D printing in medicine","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49251136","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}