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Yilma M, Brown AE, Harvey J, Stahl CC, Quillin RC, Syed SM, Cortez AR. Examining the Influence of a General Surgery Resident's Transplant Experience on Their Pursuit of Transplant Surgery Fellowship. Clin Transplant 2024; 38:e15398. [PMID: 39023094 DOI: 10.1111/ctr.15398] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2024] [Revised: 06/08/2024] [Accepted: 06/22/2024] [Indexed: 07/20/2024]
Abstract
BACKGROUND Transplant surgery has historically been a less desirable fellowship among general surgery graduates. Limited work has been done to understand factors associated with residents' interest in transplantation. Using a multi-institutional cohort, we examined how the resident experience on transplant surgery may influence their decision to pursue transplant fellowship. METHODS Individual demographics, program characteristics, and transplant-specific case logs were collected for graduates from 2010 to 2020 at 20 general surgery residency programs within the US Resident OPerative Experience (ROPE) Consortium. Residents who pursued transplant surgery fellowship were compared to those who went directly into practice or pursued a non-transplant fellowship. RESULTS Among 1342 general surgery graduates, 52 (3.9%) pursued abdominal transplant fellowship. These residents completed more transplant (22 vs. 9), liver (14 vs. 9), pancreas (15 vs. 11), and vascular access operations (38 vs. 30) compared to residents who did not pursue transplant fellowship (all p < 0.05). Multivariable logistic regression found that residents underrepresented in medicine were three times more likely (95% CI 1.54-6.58, p < 0.01) and residents at a program co-located with a transplant fellowship six times more likely (95% CI 1.95-18.18, p < 0.01) to pursue transplant fellowship. Additionally, a resident's increasing total transplant operative volume was associated with an increased likelihood of pursuing a transplant fellowship (OR = 1.12, 95% CI 1.09-1.14, p < 0.01). CONCLUSION The findings from this multi-institutional study demonstrate that increased exposure to transplant operations and interaction within a transplant training program is associated with a resident's pursuit of transplant surgery fellowship. Efforts to increase operative exposure, case participation, and mentorship may optimize the resident experience and promote the transplant surgery pipeline.
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Affiliation(s)
- Mignote Yilma
- Division of Transplant Surgery, University of California San Francisco, San Francisco, California, USA
| | - Audrey E Brown
- Division of Transplant Surgery, University of California San Francisco, San Francisco, California, USA
| | - Jalen Harvey
- Department of Surgery, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | | | - Ralph C Quillin
- Department of Surgery, Cincinnati Research on Education in Surgical Training (CREST), University of Cincinnati, Cincinnati, Ohio, USA
| | - Shareef M Syed
- Division of Transplant Surgery, University of California San Francisco, San Francisco, California, USA
| | - Alexander R Cortez
- Division of Transplant Surgery, University of California San Francisco, San Francisco, California, USA
- Department of Surgery, University of Texas Southwestern Medical Center, Dallas, Texas, USA
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Pourak K, Zugris N, Palmon I, Monovoukas D, Waits S. Nodo-Tie: an innovative, 3-D printed simulator for surgical knot-tying skills development. Surg Open Sci 2023; 16:221-225. [PMID: 38035223 PMCID: PMC10687015 DOI: 10.1016/j.sopen.2023.11.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Revised: 10/31/2023] [Accepted: 11/15/2023] [Indexed: 12/02/2023] Open
Abstract
Introduction Clinical simulators are an important resource for medical students seeking to improve their fundamental surgical skills. Three-dimensional (3-D) printing offers an innovative method to create simulators due to its low production costs and reliable printing fidelity. We aimed to validate a 3-D printed knot-tying simulator named Nodo-Tie. Methods We designed a 3-D printed knot-tying simulator integrated with a series of knot-tying challenges and a designated video curriculum made accessible via a quick-response (QR) code. The Nodo-Tie, which costs less than $1 to print and assemble, was distributed to second-year medical students starting their surgical clerkship. Participants were asked to complete a survey gauging the simulator's usability and educational utility. The time between simulator distribution and survey completion was eight weeks. Results Students perceived the Nodo-Tie as easy-to-use (4.6 ± 0.8) and agreed it increased both their motor skills (4.5 ± 0.9) and confidence (4.5 ± 0.8) for tying surgical knots in the clinical setting. Many students agreed the Nodo-Tie provided a stable, durable surface for knot-tying practice (83.7%, n = 41) and that they would continue to use it beyond their participation in the study period (91.7%, n = 44). Discussion Medical students found this interactive, 3-D printed knot-tying simulator to be an effective tool to use for self-directed development of their knot-tying skills. Given the Nodo-Tie's low cost, students were able to keep the Nodo-Tie for use beyond the study period. This increases the opportunity for students to engage in the longitudinal practice necessary to master knot-tying as they progress through their medical education. Key messages Clinical simulators provide proactive learners with reliable, stress-free environments to engage in self-directed surgical skills development. The Nodo-Tie, a 3-D printed simulator, serves as a cost-effective, interactive tool for medical students to develop their knot-tying abilities beyond the clinical setting.
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Affiliation(s)
- Kian Pourak
- University of Michigan Medical School, Ann Arbor, MI 48109, USA
| | - Nicholas Zugris
- University of Michigan Medical School, Ann Arbor, MI 48109, USA
| | - Itai Palmon
- University of Michigan Medical School, Ann Arbor, MI 48109, USA
| | | | - Seth Waits
- Department of Surgery, Michigan Medicine, Section of Transplant Surgery, Ann Arbor, MI 48109, USA
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Christou CD, Vasileiadou S, Sotiroudis G, Tsoulfas G. Three-Dimensional Printing and Bioprinting in Renal Transplantation and Regenerative Medicine: Current Perspectives. J Clin Med 2023; 12:6520. [PMID: 37892658 PMCID: PMC10607284 DOI: 10.3390/jcm12206520] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2023] [Revised: 09/29/2023] [Accepted: 10/12/2023] [Indexed: 10/29/2023] Open
Abstract
For patients with end-stage kidney disease (ESKD), renal transplantation is the treatment of choice, constituting the most common solid organ transplantation. This study aims to provide a comprehensive review regarding the application of three-dimensional (3D) printing and bioprinting in renal transplantation and regenerative medicine. Specifically, we present studies where 3D-printed models were used in the training of surgeons through renal transplantation simulations, in patient education where patients acquire a higher understanding of their disease and the proposed operation, in the preoperative planning to facilitate decision-making, and in fabricating customized, tools and devices. Three-dimensional-printed models could transform how surgeons train by providing surgical rehearsal platforms across all surgical specialties, enabling training with tissue realism and anatomic precision. The use of 3D-printed models in renal transplantations has shown a positive impact on surgical outcomes, including the duration of the operation and the intraoperative blood loss. Regarding 3D bioprinting, the technique has shown promising results, especially in the field of microfluidic devices, with the development of tissue demonstrating proximal tubules, glomerulus, and tubuloinerstitium function, and in renal organoid development. Such models can be applied for renal disease modeling, drug development, and renal regenerative medicine.
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Affiliation(s)
- Chrysanthos D. Christou
- Department of Transplantation Surgery, Hippokration General Hospital, Aristotle University of Thessaloniki, 54642 Thessaloniki, Greece; (S.V.); (G.S.); (G.T.)
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Nuber M, Gonzalez-Uarquin F, Neufurth M, Brockmann MA, Baumgart J, Baumgart N. Development of a 3D simulator for training the mouse in utero electroporation. PLoS One 2022; 17:e0279004. [PMID: 36516187 PMCID: PMC9749995 DOI: 10.1371/journal.pone.0279004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Accepted: 11/28/2022] [Indexed: 12/15/2022] Open
Abstract
In utero electroporation (IUE) requires high-level training in microinjection through the mouse uterine wall into the lateral ventricle of the mouse brain. Training for IUE is currently being performed in live mice as no artificial models allow simulations yet. This study aimed to develop an anatomically realistic 3D printed simulator to train IUE in mice. To this end, we created embryo models containing lateral ventricles. We coupled them to uterus models in six steps: (1) computed tomography imaging, (2) 3D model segmentation, (3) 3D model refinement, (4) mold creation to cast the actual model, (5) 3D mold printing, and (6) mold casting the molds with a mix of soft silicones to ensure the hardness and consistency of the uterus and embryo. The results showed that the simulator assembly successfully recreated the IUE. The compression test did not differ in the mechanical properties of the real embryo or in the required load for uterus displacement. Furthermore, more than 90% of the users approved the simulator as an introduction to IUE and considered that the simulator could help reduce the number of animals for training. Despite current limitations, our 3D simulator enabled a realistic experience for initial approximations to the IUE and is a real alternative for implementing the 3Rs. We are currently working on refining the model.
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Affiliation(s)
- Maximilian Nuber
- Translational Animal Research Center, University Medical Center of the Johannes Gutenberg-University, Mainz, Germany
| | - Fernando Gonzalez-Uarquin
- Translational Animal Research Center, University Medical Center of the Johannes Gutenberg-University, Mainz, Germany
| | - Meik Neufurth
- Institute of Physiological Chemistry, University Medical Center of the Johannes Gutenberg-University, Mainz, Germany
| | - Marc A. Brockmann
- Department of Neuroradiology, University Medical Center of the Johannes Gutenberg-University, Mainz, Germany
| | - Jan Baumgart
- Translational Animal Research Center, University Medical Center of the Johannes Gutenberg-University, Mainz, Germany
| | - Nadine Baumgart
- Translational Animal Research Center, University Medical Center of the Johannes Gutenberg-University, Mainz, Germany
- * E-mail:
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Patnaik R, Khan MTA, Oh T, Yamaguchi S, Fritze DM. Technical skills simulation in transplant surgery: a systematic review. GLOBAL SURGICAL EDUCATION : JOURNAL OF THE ASSOCIATION FOR SURGICAL EDUCATION 2022; 1:42. [PMID: 38013707 PMCID: PMC9483372 DOI: 10.1007/s44186-022-00028-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/05/2022] [Revised: 05/02/2022] [Accepted: 06/13/2022] [Indexed: 11/29/2023]
Abstract
Purpose Transplant surgery is a demanding field in which the technical skills of the surgeon correlates with patient outcomes. As such, there is potential for simulation-based training to play an important role in technical skill acquisition. This study provides a systematic assessment of the current literature regarding the use of simulation to improve surgeon technical skills in transplantation. Methods Data were collected by performing an electronic search of the PubMed and Scopus database for articles describing simulation in transplant surgery. The abstracts were screened using the preferred reporting items for systematic reviews and meta-analysis (PRISMA) guidelines. Three reviewers analyzed 172 abstracts and agreed upon articles that met the inclusion criteria for the systematic review. Results Simulators can be categorized into virtual reality simulators, cadaveric models, animal models (animate or inanimate) and synthetic physical models. No virtual reality simulators in transplant surgery are described in the literature. Three cadaveric models, seven animal models and eight synthetic physical models specific to transplant surgery are described. A total of 18 publications focusing on technical skills simulation in kidney, liver, lung, pancreas, and cardiac transplantation were found with the majority focusing on kidney transplantation. Conclusions This systematic review identifies currently reported simulation models in transplant surgery. This will serve as a reference for general surgery and transplant surgery professionals interested in using simulation to enhance their technical skills.
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Affiliation(s)
- R. Patnaik
- Department of Surgery, University of Texas Health San Antonio, 7703 Floyd Curl Drive, San Antonio, TX 78229-3900 USA
| | - M. T. A. Khan
- Department of Surgery, University of Texas Health San Antonio, 7703 Floyd Curl Drive, San Antonio, TX 78229-3900 USA
| | - T. Oh
- Long School of Medicine, University of Texas Health San Antonio, San Antonio, TX USA
| | - S. Yamaguchi
- Department of Transplant Surgery, University of Texas Health San Antonio, San Antonio, TX USA
| | - D. M. Fritze
- Department of Transplant Surgery, University of Texas Health San Antonio, San Antonio, TX USA
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Greenberg AL, Karimzada MM, Brian R, Yap A, Luu HY, Ahmed S, Huang CY, Waits SA, Hirose R, Alseidi A, Rapp JH, O’Sullivan PS, Chern H, Syed SM. Assessment of Surgeon Performance of Advanced Open Surgical Skills Using a Microskills-Based Novel Curriculum. JAMA Netw Open 2022; 5:e2229787. [PMID: 36053533 PMCID: PMC9440404 DOI: 10.1001/jamanetworkopen.2022.29787] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
IMPORTANCE The increase in minimally invasive surgical procedures has eroded exposure of general surgery residents to open operations. High-fidelity simulation, together with deliberate instruction, is needed for advanced open surgical skill (AOSS) development. OBJECTIVE To collect validity evidence for AOSS tools to support a shared model for instruction. DESIGN, SETTING, AND PARTICIPANTS This prospective cohort study included postresidency surgeons (PRSs) and second-year general surgery residents (R2s) at a single academic medical center who completed simulated tasks taught within the AOSS curriculum between June 1 and October 31, 2021. EXPOSURES The AOSS curriculum includes 6 fine-suture and needle handling tasks, including deep suture tying (with and without needles) and continuous suturing using the pitch-and-catch and push-push-pull techniques (both superficial and deep). Teaching and assessment are based on specific microskills using a 3-dimensional printed iliac fossa model. MAIN OUTCOMES AND MEASURES The PRS group was timed and scored (5-point Likert scale) on 10 repetitions of each task. Six months after receiving instruction on the AOSS tasks, the R2 group was similarly timed and scored. RESULTS The PRS group included 14 surgeons (11 male [79%]; 8 [57%] attending surgeons) who completed the simulation; the R2 group, 9 surgeons (5 female [55%]) who completed the simulation. Score and time variability were greater for the R2s compared with the PRSs for all tasks. The R2s scored lower and took longer on (1) deep pitch-and-catch suturing (69% of maximum points for a mean [SD] of 142.0 [31.7] seconds vs 77% for a mean [SD] of 95.9 [29.4] seconds) and deep push-push-pull suturing (63% of maximum points for a mean [SD] of 284.0 [72.9] seconds vs 85% for a mean [SD] of 141.4 [29.1] seconds) relative to the corresponding superficial tasks; (2) suture tying with a needle vs suture tying without a needle (74% of maximum points for a mean [SD] of 64.6 [19.8] seconds vs 90% for a mean [SD] of 54.4 [15.6] seconds); and (3) the deep push-push-pull vs pitch-and-catch techniques (63% of maximum points for a mean [SD] of 284.0 [72.9] seconds vs 69% of maximum points for a mean [SD] of 142.0 [31.7] seconds). For the PRS group, time was negatively associated with score for the 3 hardest tasks: superficial push-push-pull (ρ = 0.60; P = .02), deep pitch-and-catch (ρ = 0.73; P = .003), and deep push-push-pull (ρ = 0.81; P < .001). For the R2 group, time was negatively associated with score for the 2 easiest tasks: suture tying without a needle (ρ = 0.78; P = .01) and superficial pitch-and-catch (ρ = 0.79; P = .01). CONCLUSIONS AND RELEVANCE The findings of this cohort study offer validity evidence for a novel AOSS curriculum; reveal differential difficulty of tasks that can be attributed to specific microskills; and suggest that position on the surgical learning curve may dictate the association between competency and speed. Together these findings suggest specific, actionable opportunities to guide instruction of AOSS, including which microskills to focus on, when individual rehearsal vs guided instruction is more appropriate, and when to focus on speed.
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Affiliation(s)
| | | | - Riley Brian
- Department of Surgery, University of California, San Francisco
| | - Ava Yap
- Department of Surgery, University of California, San Francisco
| | - Hubert Y. Luu
- Department of Surgery, University of California, San Francisco
| | - Saira Ahmed
- Department of Surgery, University of Illinois at Chicago
| | - Chiung-Yu Huang
- Department of Surgery, University of California, San Francisco
| | - Seth A. Waits
- Department of Surgery, University of Michigan, Ann Arbor
| | - Ryutaro Hirose
- Department of Surgery, University of California, San Francisco
| | - Adnan Alseidi
- Department of Surgery, University of California, San Francisco
| | - Joseph H. Rapp
- Department of Surgery, University of California, San Francisco
| | | | - Hueylan Chern
- Department of Surgery, University of California, San Francisco
| | - Shareef M. Syed
- Department of Surgery, University of California, San Francisco
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Patnaik R, Khan MT, Yamaguchi S, Fritze DM. Building a Low-Cost and Low-Fidelity Kidney Transplant Model: A Technical Report on the San Antonio Kidney Transplant Model. Cureus 2022; 14:e23883. [PMID: 35530913 PMCID: PMC9075688 DOI: 10.7759/cureus.23883] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/04/2022] [Indexed: 12/22/2022] Open
Abstract
One of the most challenging aspects of the kidney transplant operation is performing vascular anastomoses in the confines and depths of the iliac fossa. General surgery residents need to be adequately trained in this skill to maximize their intraoperative experience during their transplant surgery rotation. While several kidney transplant models have been developed, they are limited in their ability to simulate the challenges of performing anastomoses at varying depths and in confined spaces. Furthermore, they may be expensive or require specialized equipment, such as three-dimensional printers, to build. In this technical report, we describe how to build a low-fidelity, low-cost, and portable kidney transplant model capable of simulating vascular anastomoses at varying depths. Our model can be easily replicated for less than 30 USD using materials available in local stores. It uses inexpensive and reusable parts, allowing trainees a high volume of repetitions.
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Affiliation(s)
- Ronit Patnaik
- General Surgery, University of Texas Health Science Center at San Antonio, San Antonio, USA
| | - Mustafa T Khan
- General Surgery, University of Texas Health Science Center at San Antonio, San Antonio, USA
| | - Seiji Yamaguchi
- Transplant Surgery, University of Texas Health Science Center at San Antonio, San Antonio, USA
| | - Danielle M Fritze
- Transplant Surgery, University of Texas Health Science Center at San Antonio, San Antonio, USA
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Cornejo J, Cornejo-Aguilar JA, Vargas M, Helguero CG, Milanezi de Andrade R, Torres-Montoya S, Asensio-Salazar J, Rivero Calle A, Martínez Santos J, Damon A, Quiñones-Hinojosa A, Quintero-Consuegra MD, Umaña JP, Gallo-Bernal S, Briceño M, Tripodi P, Sebastian R, Perales-Villarroel P, De la Cruz-Ku G, Mckenzie T, Arruarana VS, Ji J, Zuluaga L, Haehn DA, Paoli A, Villa JC, Martinez R, Gonzalez C, Grossmann RJ, Escalona G, Cinelli I, Russomano T. Anatomical Engineering and 3D Printing for Surgery and Medical Devices: International Review and Future Exponential Innovations. BIOMED RESEARCH INTERNATIONAL 2022; 2022:6797745. [PMID: 35372574 PMCID: PMC8970887 DOI: 10.1155/2022/6797745] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/02/2021] [Revised: 02/16/2022] [Accepted: 02/24/2022] [Indexed: 12/26/2022]
Abstract
Three-dimensional printing (3DP) has recently gained importance in the medical industry, especially in surgical specialties. It uses different techniques and materials based on patients' needs, which allows bioprofessionals to design and develop unique pieces using medical imaging provided by computed tomography (CT) and magnetic resonance imaging (MRI). Therefore, the Department of Biology and Medicine and the Department of Physics and Engineering, at the Bioastronautics and Space Mechatronics Research Group, have managed and supervised an international cooperation study, in order to present a general review of the innovative surgical applications, focused on anatomical systems, such as the nervous and craniofacial system, cardiovascular system, digestive system, genitourinary system, and musculoskeletal system. Finally, the integration with augmented, mixed, virtual reality is analyzed to show the advantages of personalized treatments, taking into account the improvements for preoperative, intraoperative planning, and medical training. Also, this article explores the creation of devices and tools for space surgery to get better outcomes under changing gravity conditions.
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Affiliation(s)
- José Cornejo
- Facultad de Ingeniería, Universidad San Ignacio de Loyola, La Molina, Lima 15024, Peru
- Department of Medicine and Biology & Department of Physics and Engineering, Bioastronautics and Space Mechatronics Research Group, Lima 15024, Peru
| | | | | | | | - Rafhael Milanezi de Andrade
- Robotics and Biomechanics Laboratory, Department of Mechanical Engineering, Universidade Federal do Espírito Santo, Brazil
| | | | | | - Alvaro Rivero Calle
- Department of Oral and Maxillofacial Surgery, Hospital 12 de Octubre, Madrid, Spain
| | - Jaime Martínez Santos
- Department of Neurosurgery, Medical University of South Carolina, Charleston, SC, USA
| | - Aaron Damon
- Department of Neurosurgery, Mayo Clinic, FL, USA
| | | | | | - Juan Pablo Umaña
- Cardiovascular Surgery, Instituto de Cardiología-Fundación Cardioinfantil, Universidad del Rosario, Bogotá DC, Colombia
| | | | - Manolo Briceño
- Villamedic Group, Lima, Peru
- Clínica Internacional, Lima, Peru
| | | | - Raul Sebastian
- Department of Surgery, Northwest Hospital, Randallstown, MD, USA
| | | | - Gabriel De la Cruz-Ku
- Universidad Científica del Sur, Lima, Peru
- Department of Surgery, Mayo Clinic, Rochester, MN, USA
| | | | | | - Jiakai Ji
- Obstetrics and Gynecology, Lincoln Medical and Mental Health Center, Bronx, NY, USA
| | - Laura Zuluaga
- Department of Urology, Fundación Santa Fe de Bogotá, Colombia
| | | | - Albit Paoli
- Howard University Hospital, Washington, DC, USA
| | | | | | - Cristians Gonzalez
- Nouvel Hôpital Civil, Hôpitaux Universitaires de Strasbourg, Strasbourg, France
- Institut of Image-Guided Surgery (IHU-Strasbourg), Strasbourg, France
| | | | - Gabriel Escalona
- Experimental Surgery and Simulation Center, Department of Digestive Surgery, Catholic University of Chile, Santiago, Chile
| | - Ilaria Cinelli
- Aerospace Human Factors Association, Aerospace Medical Association, VA, USA
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3D Printing Surgical Phantoms and their Role in the Visualization of Medical Procedures. ANNALS OF 3D PRINTED MEDICINE 2022. [DOI: 10.1016/j.stlm.2022.100057] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/23/2023] Open
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Peri A, Marconi S, Gallo V, Mauri V, Negrello E, Abelli M, Ticozzelli E, Caserini O, Pugliese L, Auricchio F, Pietrabissa A. Three-D-printed simulator for kidney transplantation. Surg Endosc 2021; 36:844-851. [PMID: 34782966 DOI: 10.1007/s00464-021-08788-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2021] [Accepted: 10/17/2021] [Indexed: 11/24/2022]
Abstract
BACKGROUND Three-Dimensional (3D) printing technology can be used to manufacture training platforms for surgeons. Kidney transplantation offers a suitable model, since it mostly entails vascular and ureteric anastomoses. METHODS A new simulation platform for surgical training in kidney transplantation was realized and validated in this study. A combination of different 3-D printing technology was used to reproduce the key anatomy of lower abdomen, of pelvis, and of a kidney graft, including their mechanical properties. RESULTS Thirty transplantations were performed by two junior trainees with no previous experience in the area. Analysis of the times required to perform the simulated transplantation showed that proficiency was reached after about ten cases, as indicated by a flattening of the respective curves that corresponded to a shortening of about 40% and 47%, respectively, of the total time initially needed to perform the whole simulated transplantation. Although an objective assessment of the technical quality of the anastomoses failed to show a significant improvement throughout the study, a growth in self-confidence with the procedure was reported by both trainees. CONCLUSION The quality of the presented simulation platform aimed at reproducing in the highest possible way a realistic model of the operative setting and proved effective in providing an integrated training environment where technical skills are enhanced together with a team-training experience. As a result the trainees' self-confidence with the procedure resulted enforced. Three-D--printed models can also offer pre-operative patient-specific training when anatomical variants are anticipated by medical imaging. An analysis of the costs related to the use of this platform is also provided and discussed.
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Affiliation(s)
- Andrea Peri
- Department of Surgery, University of Pavia and Fondazione IRCCS Policlinico San Matteo, Pavia, Italy
| | - Stefania Marconi
- Department of Architecture and Civil Engineering, University of Pavia, Pavia, Italy
| | - Virginia Gallo
- Department of Surgery, University of Pavia and Fondazione IRCCS Policlinico San Matteo, Pavia, Italy
| | | | | | - Massimo Abelli
- Department of Surgery, University of Pavia and Fondazione IRCCS Policlinico San Matteo, Pavia, Italy
| | - Elena Ticozzelli
- Department of Surgery, University of Pavia and Fondazione IRCCS Policlinico San Matteo, Pavia, Italy
| | - Ottavia Caserini
- Department of Surgery, University of Pavia and Fondazione IRCCS Policlinico San Matteo, Pavia, Italy
| | - Luigi Pugliese
- Department of Surgery, University of Pavia and Fondazione IRCCS Policlinico San Matteo, Pavia, Italy
| | - Ferdinando Auricchio
- Department of Architecture and Civil Engineering, University of Pavia, Pavia, Italy
| | - Andrea Pietrabissa
- Department of Surgery, University of Pavia and Fondazione IRCCS Policlinico San Matteo, Pavia, Italy. .,, Viale Golgi 69, 27100, Pavia, Italy.
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Jin Z, Li Y, Yu K, Liu L, Fu J, Yao X, Zhang A, He Y. 3D Printing of Physical Organ Models: Recent Developments and Challenges. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2021; 8:e2101394. [PMID: 34240580 PMCID: PMC8425903 DOI: 10.1002/advs.202101394] [Citation(s) in RCA: 43] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/06/2021] [Revised: 05/14/2021] [Indexed: 05/05/2023]
Abstract
Physical organ models are the objects that replicate the patient-specific anatomy and have played important roles in modern medical diagnosis and disease treatment. 3D printing, as a powerful multi-function manufacturing technology, breaks the limitations of traditional methods and provides a great potential for manufacturing organ models. However, the clinical application of organ model is still in small scale, facing the challenges including high cost, poor mimicking performance and insufficient accuracy. In this review, the mainstream 3D printing technologies are introduced, and the existing manufacturing methods are divided into "directly printing" and "indirectly printing", with an emphasis on choosing suitable techniques and materials. This review also summarizes the ideas to address these challenges and focuses on three points: 1) what are the characteristics and requirements of organ models in different application scenarios, 2) how to choose the suitable 3D printing methods and materials according to different application categories, and 3) how to reduce the cost of organ models and make the process simple and convenient. Moreover, the state-of-the-art in organ models are summarized and the contribution of 3D printed organ models to various surgical procedures is highlighted. Finally, current limitations, evaluation criteria and future perspectives for this emerging area are discussed.
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Affiliation(s)
- Zhongboyu Jin
- State Key Laboratory of Fluid Power and Mechatronic SystemsSchool of Mechanical EngineeringZhejiang UniversityHangzhouZhejiang310027China
- Key Laboratory of 3D Printing Process and Equipment of Zhejiang ProvinceSchool of Mechanical EngineeringZhejiang UniversityHangzhouZhejiang310027China
| | - Yuanrong Li
- State Key Laboratory of Fluid Power and Mechatronic SystemsSchool of Mechanical EngineeringZhejiang UniversityHangzhouZhejiang310027China
- Key Laboratory of 3D Printing Process and Equipment of Zhejiang ProvinceSchool of Mechanical EngineeringZhejiang UniversityHangzhouZhejiang310027China
| | - Kang Yu
- State Key Laboratory of Fluid Power and Mechatronic SystemsSchool of Mechanical EngineeringZhejiang UniversityHangzhouZhejiang310027China
- Key Laboratory of 3D Printing Process and Equipment of Zhejiang ProvinceSchool of Mechanical EngineeringZhejiang UniversityHangzhouZhejiang310027China
| | - Linxiang Liu
- Zhejiang University HospitalZhejiang UniversityHangzhouZhejiang310027China
| | - Jianzhong Fu
- State Key Laboratory of Fluid Power and Mechatronic SystemsSchool of Mechanical EngineeringZhejiang UniversityHangzhouZhejiang310027China
- Key Laboratory of 3D Printing Process and Equipment of Zhejiang ProvinceSchool of Mechanical EngineeringZhejiang UniversityHangzhouZhejiang310027China
| | - Xinhua Yao
- State Key Laboratory of Fluid Power and Mechatronic SystemsSchool of Mechanical EngineeringZhejiang UniversityHangzhouZhejiang310027China
| | - Aiguo Zhang
- Department of OrthopedicsWuxi Children's Hospital affiliated to Nanjing Medical UniversityWuxiJiangsu214023China
| | - Yong He
- State Key Laboratory of Fluid Power and Mechatronic SystemsSchool of Mechanical EngineeringZhejiang UniversityHangzhouZhejiang310027China
- Key Laboratory of Materials Processing and MoldZhengzhou UniversityZhengzhou450002China
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Shah D, Naik L, Paunipagar B, Rasalkar D, Chaudhary K, Bagaria V. Setting Up 3D Printing Services for Orthopaedic Applications: A Step-by-Step Guide and an Overview of 3DBioSphere. Indian J Orthop 2020; 54:217-227. [PMID: 33194095 PMCID: PMC7609604 DOI: 10.1007/s43465-020-00254-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/15/2020] [Accepted: 09/03/2020] [Indexed: 02/04/2023]
Abstract
INTRODUCTION 3D printing has widespread applications in orthopaedics including creating biomodels, patient-specific instruments, implants, and developing bioprints. 3DGraphy or printing 3D models enable the surgeon to understand, plan, and simulate different procedures on it. Despite widespread applications in non-healthcare specialties, it has failed to gain traction in healthcare settings. This is perhaps due to perceived capital expenditure cost and the lack of knowledge and skill required to execute the process. PURPOSE This article is written with an aim to provide step-by-step instructions for setting up a cost-efficient 3D printing laboratory in an institution or standalone radiology centre. The article with the help of video modules will explain the key process of segmentation, especially the technique of edge detection and thresholding which are the heart of 3D printing. CONCLUSION This is likely to enable the practising orthopaedician and radiologist to set up a 3D printing unit in their departments or even standalone radiology centres at minimal startup costs. This will enable maximal utilisation of this technology that is likely to bring about a paradigm shift in planning, simulation, and execution of complex surgeries.
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Affiliation(s)
- Darshil Shah
- grid.465035.1Department of Orthopaedics, Sir HN Reliance Foundation Hospital, Mumbai, India
| | - Lokesh Naik
- grid.465035.1Department of Orthopaedics, Sir HN Reliance Foundation Hospital, Mumbai, India
| | - Bhawan Paunipagar
- Department of Radiology, Akshay PET-CT, Akshay CT, Sai MRI Scans, Sangli, India ,Department of Radiology, Akshay CT and Sai MRI Scans, Sangli, Kolhapur India
| | - Darshana Rasalkar
- Department of Radiology, Akshay PET-CT, Akshay CT, Sai MRI Scans, Sangli, India ,Department of Radiology, Akshay CT and Sai MRI Scans, Sangli, Kolhapur India
| | - Kshitij Chaudhary
- grid.465035.1Department of Orthopaedics, Sir HN Reliance Foundation Hospital, Mumbai, India
| | - Vaibhav Bagaria
- grid.465035.1Department of Orthopaedics, Sir HN Reliance Foundation Hospital, Mumbai, India
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