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Domsta V, Seidlitz A. 3D-Printing of Drug-Eluting Implants: An Overview of the Current Developments Described in the Literature. Molecules 2021; 26:4066. [PMID: 34279405 PMCID: PMC8272161 DOI: 10.3390/molecules26134066] [Citation(s) in RCA: 35] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2021] [Revised: 06/28/2021] [Accepted: 06/29/2021] [Indexed: 01/15/2023] Open
Abstract
The usage of 3D-printing for drug-eluting implants combines the advantages of a targeted local drug therapy over longer periods of time at the precise location of the disease with a manufacturing technique that easily allows modifications of the implant shape to comply with the individual needs of each patient. Research until now has been focused on several aspects of this topic such as 3D-printing with different materials or printing techniques to achieve implants with different shapes, mechanical properties or release profiles. This review is intended to provide an overview of the developments currently described in the literature. The topic is very multifaceted and several of the investigated aspects are not related to just one type of application. Consequently, this overview deals with the topic of 3D-printed drug-eluting implants in the application fields of stents and catheters, gynecological devices, devices for bone treatment and surgical screws, antitumoral devices and surgical meshes, as well as other devices with either simple or complex geometry. Overall, the current findings highlight the great potential of the manufacturing of drug-eluting implants via 3D-printing technology for advanced individualized medicine despite remaining challenges such as the regulatory approval of individualized implants.
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Affiliation(s)
- Vanessa Domsta
- Department of Biopharmacy and Pharmaceutical Technology, Institute of Pharmacy, University of Greifswald, Center of Drug Absorption and Transport, Felix-Hausdorff-Str. 3, 17487 Greifswald, Germany
| | - Anne Seidlitz
- Department of Biopharmacy and Pharmaceutical Technology, Institute of Pharmacy, University of Greifswald, Center of Drug Absorption and Transport, Felix-Hausdorff-Str. 3, 17487 Greifswald, Germany
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Transcending Dimensions: a Comparative Analysis of Cloaca Imaging in Advancing the Surgeon's Understanding of Complex Anatomy. J Digit Imaging 2020; 32:761-765. [PMID: 30350007 DOI: 10.1007/s10278-018-0139-y] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022] Open
Abstract
Surgeons have a steep learning capacity to understand 2-D images provided by conventional cloacagrams. Imaging advances now allow for 3-D reconstruction and 3-D models; but no evaluation of the value of these techniques exists in the literature. Therefore, we sought to determine if advances in 3-D imaging would benefit surgeons, lead to accelerated learning, and improve understanding for operative planning of a cloaca reconstruction. Questionnaires were used to assess the understanding of 2-D and 3-D images by pediatric surgical faculty and trainees. For the same case of a cloacal malformation, a 2D contrast study cloacagram, a 3D model rotatable CT scan reconstruction, a software enhanced 3D video animation (which allowed the observer to manipulate the structure in any orientation), and a printed physical 3D cloaca model that could be held in the observer's hand were employed. Logistic mixed effect models assessed whether the proportion of questions about the case that were answered correctly differed by imaging modality, and whether the proportion answered correctly differed between trainee and attending surgeons for any particular modality. Twenty-nine pediatric surgery trainees (27 pediatric general surgery and 2 pediatric urology surgery trainees) and 30 pediatric surgery and urology faculty participated. For trainees, the percentage of questions answered correctly was: 2-D 10.5%, 3-D PACS 46.7%, 3-D Enhanced 67.1%, and 3-D Printed 73.8%. For faculty, the total percentage of questions answered correctly was: 2-D 22.2%, 3-D PACS 54.8%, 3D Enhanced 66.2%, and 3-D printed 74.0%. The differences in rates of correctness across all four modalities were significant in both fellows and attendings (p < 0.001), with performance being lowest for the 2-D modality, and with increasing percentage of correct answers with each subsequent modality. The difference between trainees and attendings in correctness rate was significant only for the 2-D modality, with attendings answering correctly more often. The 2-D cloacagram, as the least complex model, was the most difficult to interpret. The more complex the modality, the more correct were the responses obtained from both groups. Trainees and attendings had similar levels of correct answers and understanding of the cloacagram for the more advanced modalities. Mental visualization skills of anatomy and complex 3-D spatial arrangements traditionally have taken years of experience to master. Now with novel surgical education resources of a 3-D cloacagram, a more quickly advancing skill is possible.
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Strøm M, Rasmussen JL, Nayahangan LJ, de la Motte L, Vogt K, Konge L, Eiberg J. Learn EVAR sizing from scratch: The results of a one-day intensive course in EVAR sizing and stent graft selection for vascular trainees. Vascular 2020; 28:342-347. [DOI: 10.1177/1708538120913719] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background and aim Recognition of structured training in endovascular aortic repair (EVAR) for vascular trainees is increasing. Nevertheless, how trainees can achieve sufficient skills in EVAR sizing and graft selection is sparsely described. The aim of this study was to investigate the effect of systematic training in basic EVAR sizing and graft selection on vascular surgery trainees using a validated assessment tool. Methods Sixteen vascular surgery trainees were included in an intensive 6-h hands-on workshop in aortic sizing and stent graft selection for EVAR with a trainer-to-trainee ratio of 1:2. After 1-h lecture, participants did 5 h of supervised training on increasingly complex cases. Finally, the participants were tested using a validated assessment tool. Results All participants were able to size the test-case and select a stent graft combination in 24:35 (13:30–48:20) min (median and range). The participants’ overall test scores (lower is better) were in median 17.9 (11.9–28.4). This did not differ from the scores of experienced EVAR operators 14.7 (11.7–25.2) (<200 EVAR’s) ( p = .32) but was inferior to the score of EVAR experts 11.2 (9.8 –18.7) (≥200 EVAR’s) ( p = .01). The sub-score for anatomical measurements was 10.6 (3.9–18.8) and comparable with the experienced group 9.7 (8.1–12.8) ( p = .83) but inferior to the expert operators 6.5 (5.2–10.2) ( p = .04). The sub-score for stent graft selection was 7.5 (4.9–14.1) and comparable with experienced operators scoring 4.5 (3.6–12.3) ( p = .09) but inferior to the expert operators score of 5.0 (3.6–8.4) ( p = .01). Conclusion This study presents the results of a standardised one-day basic EVAR sizing and graft selection workshop. Vascular surgery trainees with no prior EVAR experience learned to size and select stent grafts for a simple infra-renal AAA on par with experienced EVAR operators.
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Affiliation(s)
- Michael Strøm
- Copenhagen Academy for Medical Education and Simulation (CAMES), The Capital Region of Denmark, Copenhagen, Denmark
- Department of Vascular Surgery, Rigshospitalet, Copenhagen, Denmark
- Department of Vascular Surgery, Roskilde University Hospital, Roskilde, Denmark
| | - Jonathan Lawaetz Rasmussen
- Copenhagen Academy for Medical Education and Simulation (CAMES), The Capital Region of Denmark, Copenhagen, Denmark
- Department of Vascular Surgery, Rigshospitalet, Copenhagen, Denmark
- Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Leizl Joy Nayahangan
- Copenhagen Academy for Medical Education and Simulation (CAMES), The Capital Region of Denmark, Copenhagen, Denmark
| | - Louise de la Motte
- Department of Vascular Surgery, Rigshospitalet, Copenhagen, Denmark
- Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Katja Vogt
- Department of Vascular Surgery, Rigshospitalet, Copenhagen, Denmark
| | - Lars Konge
- Copenhagen Academy for Medical Education and Simulation (CAMES), The Capital Region of Denmark, Copenhagen, Denmark
- Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Jonas Eiberg
- Copenhagen Academy for Medical Education and Simulation (CAMES), The Capital Region of Denmark, Copenhagen, Denmark
- Department of Vascular Surgery, Rigshospitalet, Copenhagen, Denmark
- Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
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Mashar M, Nanapragasam A, Haslam P. Interventional radiology training: where will technology take us? BJR Open 2019; 1:20190002. [PMID: 33178937 PMCID: PMC7592432 DOI: 10.1259/bjro.20190002] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2018] [Revised: 06/17/2019] [Accepted: 08/01/2019] [Indexed: 12/26/2022] Open
Abstract
Interventional radiology is a relatively young specialty, and it is undergoing a period of considerable growth. The benefits of a minimally invasive approach are clear, with smaller incisions, less pain, and faster recovery times being the principal benefits compared to surgical alternatives. Trainees need to acquire the technical skills and the clinical acumen to accurately deliver targeted treatment and safely follow up patients after the procedure. The need to maintain an efficient interventional radiology service whilst also giving sufficient time for trainee education is a challenge. In order to compensate for this, novel technologies like virtual reality (VR), augmented reality (AR), cadaveric simulation, and three-dimensional (3D) printing have been postulated as a means of supplementing training. In this article, we outline the main features of these innovative strategies and discuss the evidence base behind them. Benefits of these techniques beyond pure clinical training include the standardization of educational cases, access to training at any time, and less risk to patients. The main disadvantage is the large financial outlay required. Therefore, before widespread uptake can be recommended, further research is needed to confirm the educational benefit of these novel techniques, both in and of themselves and in comparison to existing clinical-based education.
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Affiliation(s)
- Meghavi Mashar
- Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom
| | | | - Philip Haslam
- The Newcastle Hospitals NHS Foundation Trust, Newcastle-upon-Tyne, United Kingdom
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Spinelli D, Marconi S, Caruso R, Conti M, Benedetto F, De Beaufort HW, Auricchio F, Trimarchi S. 3D printing of aortic models as a teaching tool for improving understanding of aortic disease. THE JOURNAL OF CARDIOVASCULAR SURGERY 2019; 60:582-588. [PMID: 31256581 DOI: 10.23736/s0021-9509.19.10841-5] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
BACKGROUND A geometrical understanding of the individual patient's disease morphology is crucial in aortic surgery. The aim of our study was to validate a questionnaire addressing understanding of aortic disease and use this questionnaire to investigate the value of 3D printing as a teaching tool for surgical trainees. METHODS Anonymized CT-angiography images of six different patients were selected as didactic cases of aortic disease and made into 3D models of transparent rigid resin with the Vat-photopolymerization technique. The 3D aortic models, which could be disassembled and reassembled, were displayed to 37 surgical trainees, immediately after a seminar on aortic disease. A questionnaire was developed to compare the trainees' understanding before (T0) and after (T1) demonstration of the 3D printed models. RESULTS A panel of 15 experts participated in evaluating face and content validity of the questionnaire. The questionnaire validity was established and therefore the information investigated by the questionnaire could be synthetized using the mean of the items to indicate the understanding. The participants (mean age 28 years, range 26-34, male 59%) showed a significant improvement in understanding from T0 (median=7.25; IQR=1.50) to T1 (median=8.00; IQR=1.50; P=0.002). CONCLUSIONS Preliminary data suggest that the use of 3D-printed aortic models as a teaching tool was feasible and improved the understanding of aortic disease among surgical trainees.
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Affiliation(s)
- Domenico Spinelli
- Thoracic Aortic Research Center, San Donato Polyclinic IRCCS, San Donato Milanese, Milan, Italy - .,Department of Biomedical and Dental Sciences and Morpho-Functional Imaging, University of Messina, Messina, Italy -
| | - Stefania Marconi
- Department of Civil Engineering and Architecture, University of Pavia, Pavia, Italy
| | - Rosario Caruso
- Health Professions Research and Development Area, San Donato Polyclinic IRCCS, San Donato Milanese, Milan, Italy
| | - Michele Conti
- Department of Civil Engineering and Architecture, University of Pavia, Pavia, Italy
| | - Filippo Benedetto
- Department of Biomedical and Dental Sciences and Morpho-Functional Imaging, University of Messina, Messina, Italy
| | - Hector W De Beaufort
- Thoracic Aortic Research Center, San Donato Polyclinic IRCCS, San Donato Milanese, Milan, Italy
| | - Ferdinando Auricchio
- Department of Civil Engineering and Architecture, University of Pavia, Pavia, Italy
| | - Santi Trimarchi
- Department of Clinical and Community Sciences, University of Milan, Milan, Italy.,Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
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Bortman J, Mahmood F, Schermerhorn M, Lo R, Swerdlow N, Mahmood F, Matyal R. Use of 3-Dimensional Printing to Create Patient-Specific Abdominal Aortic Aneurysm Models for Preoperative Planning. J Cardiothorac Vasc Anesth 2019; 33:1442-1446. [DOI: 10.1053/j.jvca.2018.08.011] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/29/2018] [Indexed: 11/11/2022]
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Chepelev L, Wake N, Ryan J, Althobaity W, Gupta A, Arribas E, Santiago L, Ballard DH, Wang KC, Weadock W, Ionita CN, Mitsouras D, Morris J, Matsumoto J, Christensen A, Liacouras P, Rybicki FJ, Sheikh A. Radiological Society of North America (RSNA) 3D printing Special Interest Group (SIG): guidelines for medical 3D printing and appropriateness for clinical scenarios. 3D Print Med 2018; 4:11. [PMID: 30649688 PMCID: PMC6251945 DOI: 10.1186/s41205-018-0030-y] [Citation(s) in RCA: 136] [Impact Index Per Article: 22.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2018] [Accepted: 09/19/2018] [Indexed: 02/08/2023] Open
Abstract
Medical three-dimensional (3D) printing has expanded dramatically over the past three decades with growth in both facility adoption and the variety of medical applications. Consideration for each step required to create accurate 3D printed models from medical imaging data impacts patient care and management. In this paper, a writing group representing the Radiological Society of North America Special Interest Group on 3D Printing (SIG) provides recommendations that have been vetted and voted on by the SIG active membership. This body of work includes appropriate clinical use of anatomic models 3D printed for diagnostic use in the care of patients with specific medical conditions. The recommendations provide guidance for approaches and tools in medical 3D printing, from image acquisition, segmentation of the desired anatomy intended for 3D printing, creation of a 3D-printable model, and post-processing of 3D printed anatomic models for patient care.
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Affiliation(s)
- Leonid Chepelev
- Department of Radiology and The Ottawa Hospital Research Institute, University of Ottawa, Ottawa, ON Canada
| | - Nicole Wake
- Center for Advanced Imaging Innovation and Research (CAI2R), Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, NYU School of Medicine, New York, NY USA
- Sackler Institute of Graduate Biomedical Sciences, NYU School of Medicine, New York, NY USA
| | | | - Waleed Althobaity
- Department of Radiology and The Ottawa Hospital Research Institute, University of Ottawa, Ottawa, ON Canada
| | - Ashish Gupta
- Department of Radiology and The Ottawa Hospital Research Institute, University of Ottawa, Ottawa, ON Canada
| | - Elsa Arribas
- Department of Diagnostic Radiology, Division of Diagnostic Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX USA
| | - Lumarie Santiago
- Department of Diagnostic Radiology, Division of Diagnostic Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX USA
| | - David H Ballard
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, Saint Louis, MO USA
| | - Kenneth C Wang
- Baltimore VA Medical Center, University of Maryland Medical Center, Baltimore, MD USA
| | - William Weadock
- Department of Radiology and Frankel Cardiovascular Center, University of Michigan, Ann Arbor, MI USA
| | - Ciprian N Ionita
- Department of Neurosurgery, State University of New York Buffalo, Buffalo, NY USA
| | - Dimitrios Mitsouras
- Department of Radiology and The Ottawa Hospital Research Institute, University of Ottawa, Ottawa, ON Canada
| | | | | | - Andy Christensen
- Department of Radiology and The Ottawa Hospital Research Institute, University of Ottawa, Ottawa, ON Canada
| | - Peter Liacouras
- 3D Medical Applications Center, Walter Reed National Military Medical Center, Washington, DC, USA
| | - Frank J Rybicki
- Department of Radiology and The Ottawa Hospital Research Institute, University of Ottawa, Ottawa, ON Canada
| | - Adnan Sheikh
- Department of Radiology and The Ottawa Hospital Research Institute, University of Ottawa, Ottawa, ON Canada
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Torres I, De Luccia N. Artificial vascular models for endovascular training (3D printing). Innov Surg Sci 2018; 3:225-234. [PMID: 31579786 PMCID: PMC6604582 DOI: 10.1515/iss-2018-0020] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2018] [Accepted: 07/17/2018] [Indexed: 12/27/2022] Open
Abstract
The endovascular technique has led to a revolution in the care of patients with vascular disease; however, acquiring and maintaining proficiency over a broad spectrum of procedures is challenging. Three-dimensional (3D) printing technology allows the production of models that can be used for endovascular training. This article aims to explain the process and technologies available to produce vascular models for endovascular training, using 3D printing technology. The data are based on the group experience and a review of the literature. Different 3D printing methods are compared, describing their advantages, disadvantages and potential roles in surgical training. The process of 3D printing a vascular model based on an imaging examination consists of the following steps: image acquisition, image post-processing, 3D printing and printed model post-processing. The entire process can take a week. Prospective studies have shown that 3D printing can improve surgical planning, especially in complex endovascular procedures, and allows the production of efficient simulators for endovascular training, improving residents’ surgical performance and self-confidence.
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Affiliation(s)
- Inez Torres
- Discipline of Vascular and Endovascular Surgery, Department of Surgery, São Paulo University Medical School, Rua Oscar Freire, 1546, ap 33, Pinheiros, São Paulo - SP 05409-010, Brazil
| | - Nelson De Luccia
- Discipline of Vascular and Endovascular Surgery, Department of Surgery, São Paulo University Medical School, São Paulo, Brazil
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El Sabbagh A, Eleid MF, Al-Hijji M, Anavekar NS, Holmes DR, Nkomo VT, Oderich GS, Cassivi SD, Said SM, Rihal CS, Matsumoto JM, Foley TA. The Various Applications of 3D Printing in Cardiovascular Diseases. Curr Cardiol Rep 2018; 20:47. [PMID: 29749577 DOI: 10.1007/s11886-018-0992-9] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
PURPOSE OF REVIEW To highlight the various applications of 3D printing in cardiovascular disease and discuss its limitations and future direction. RECENT FINDINGS Use of handheld 3D printed models of cardiovascular structures has emerged as a facile modality in procedural and surgical planning as well as education and communication. Three-dimensional (3D) printing is a novel imaging modality which involves creating patient-specific models of cardiovascular structures. As percutaneous and surgical therapies evolve, spatial recognition of complex cardiovascular anatomic relationships by cardiologists and cardiovascular surgeons is imperative. Handheld 3D printed models of cardiovascular structures provide a facile and intuitive road map for procedural and surgical planning, complementing conventional imaging modalities. Moreover, 3D printed models are efficacious educational and communication tools. This review highlights the various applications of 3D printing in cardiovascular diseases and discusses its limitations and future directions.
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Affiliation(s)
- Abdallah El Sabbagh
- Department of Cardiovascular Diseases, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| | - Mackram F Eleid
- Department of Cardiovascular Diseases, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| | - Mohammed Al-Hijji
- Department of Cardiovascular Diseases, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| | - Nandan S Anavekar
- Department of Cardiovascular Diseases, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| | - David R Holmes
- Department of Cardiovascular Diseases, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| | - Vuyisile T Nkomo
- Department of Cardiovascular Diseases, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| | | | | | - Sameh M Said
- Division of Cardiovascular Surgery, Mayo Clinic, Rochester, MN, USA
| | - Charanjit S Rihal
- Department of Cardiovascular Diseases, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| | | | - Thomas A Foley
- Department of Cardiovascular Diseases, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA.
- Department of Radiology, Mayo Clinic, Rochester, MN, USA.
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Hangge P, Pershad Y, Witting AA, Albadawi H, Oklu R. Three-dimensional (3D) printing and its applications for aortic diseases. Cardiovasc Diagn Ther 2018; 8:S19-S25. [PMID: 29850416 DOI: 10.21037/cdt.2017.10.02] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
Three-dimensional (3D) printing is a process which generates prototypes from virtual objects in computer-aided design (CAD) software. Since 3D printing enables the creation of customized objects, it is a rapidly expanding field in an age of personalized medicine. We discuss the use of 3D printing in surgical planning, training, and creation of devices for the treatment of aortic diseases. 3D printing can provide operators with a hands-on model to interact with complex anatomy, enable prototyping of devices for implantation based upon anatomy, or even provide pre-procedural simulation. Potential exists to expand upon current uses of 3D printing to create personalized implantable devices such as grafts. Future studies should aim to demonstrate the impact of 3D printing on outcomes to make this technology more accessible to patients with complex aortic diseases.
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Affiliation(s)
- Patrick Hangge
- Division of Interventional Radiology, Mayo Clinic, Phoenix, AZ, USA
| | - Yash Pershad
- Division of Interventional Radiology, Mayo Clinic, Phoenix, AZ, USA
| | - Avery A Witting
- Division of Interventional Radiology, Mayo Clinic, Phoenix, AZ, USA
| | - Hassan Albadawi
- Division of Interventional Radiology, Mayo Clinic, Phoenix, AZ, USA
| | - Rahmi Oklu
- Division of Interventional Radiology, Mayo Clinic, Phoenix, AZ, USA
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11
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3D Printing Applications in Minimally Invasive Spine Surgery. Minim Invasive Surg 2018; 2018:4760769. [PMID: 29805806 PMCID: PMC5899854 DOI: 10.1155/2018/4760769] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2017] [Accepted: 02/26/2018] [Indexed: 11/18/2022] Open
Abstract
3D printing (3DP) technology continues to gain popularity among medical specialties as a useful tool to improve patient care. The field of spine surgery is one discipline that has utilized this; however, information regarding the use of 3DP in minimally invasive spine surgery (MISS) is limited. 3D printing is currently being utilized in spine surgery to create biomodels, hardware templates and guides, and implants. Minimally invasive spine surgeons have begun to adopt 3DP technology, specifically with the use of biomodeling to optimize preoperative planning. Factors limiting widespread adoption of 3DP include increased time, cost, and the limited range of diagnoses in which 3DP has thus far been utilized. 3DP technology has become a valuable tool utilized by spine surgeons, and there are limitless directions in which this technology can be applied to minimally invasive spine surgery.
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Anwar S, Singh GK, Miller J, Sharma M, Manning P, Billadello JJ, Eghtesady P, Woodard PK. 3D Printing is a Transformative Technology in Congenital Heart Disease. JACC Basic Transl Sci 2018; 3:294-312. [PMID: 30062215 PMCID: PMC6059001 DOI: 10.1016/j.jacbts.2017.10.003] [Citation(s) in RCA: 55] [Impact Index Per Article: 9.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/04/2017] [Revised: 10/08/2017] [Accepted: 10/11/2017] [Indexed: 12/26/2022]
Abstract
Survival in congenital heart disease has steadily improved since 1938, when Dr. Robert Gross successfully ligated for the first time a patent ductus arteriosus in a 7-year-old child. To continue the gains made over the past 80 years, transformative changes with broad impact are needed in management of congenital heart disease. Three-dimensional printing is an emerging technology that is fundamentally affecting patient care, research, trainee education, and interactions among medical teams, patients, and caregivers. This paper first reviews key clinical cases where the technology has affected patient care. It then discusses 3-dimensional printing in trainee education. Thereafter, the role of this technology in communication with multidisciplinary teams, patients, and caregivers is described. Finally, the paper reviews translational technologies on the horizon that promise to take this nascent field even further.
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Key Words
- 3D printing
- 3D, three-dimensional
- ACHD, adults with congenital heart disease
- APC, aortopulmonary collaterals
- ASD, atrial septal defect
- CHD, congenital heart disease
- CT, computed tomography
- DORV, double outlet right ventricle
- MAPCAs, multiple aortopulmonary collaterals
- MRI, magnetic resonance imaging
- OR, operating room
- VSD, ventricular septal defect
- cardiac imaging
- cardiothoracic surgery
- congenital heart disease
- simulation
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Affiliation(s)
- Shafkat Anwar
- Division of Cardiology, Department of Pediatrics, Washington University School of Medicine, St. Louis, Missouri
| | - Gautam K. Singh
- Division of Cardiology, Department of Pediatrics, Washington University School of Medicine, St. Louis, Missouri
| | - Jacob Miller
- Division of Cardiothoracic Surgery, Department of Surgery, Washington University School of Medicine, St. Louis, Missouri
| | - Monica Sharma
- Division of Cardiology, Department of Pediatrics, Washington University School of Medicine, St. Louis, Missouri
| | - Peter Manning
- Division of Cardiothoracic Surgery, Department of Surgery, Washington University School of Medicine, St. Louis, Missouri
| | - Joseph J. Billadello
- Division of Cardiovascular Medicine, Department of Internal Medicine, Washington University School of Medicine, St. Louis, Missouri
| | - Pirooz Eghtesady
- Division of Cardiothoracic Surgery, Department of Surgery, Washington University School of Medicine, St. Louis, Missouri
| | - Pamela K. Woodard
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, Missouri
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Patient-Specific Surgical Implants Made of 3D Printed PEEK: Material, Technology, and Scope of Surgical Application. BIOMED RESEARCH INTERNATIONAL 2018; 2018:4520636. [PMID: 29713642 PMCID: PMC5884234 DOI: 10.1155/2018/4520636] [Citation(s) in RCA: 97] [Impact Index Per Article: 16.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/12/2017] [Accepted: 02/12/2018] [Indexed: 11/17/2022]
Abstract
Additive manufacturing (AM) is rapidly gaining acceptance in the healthcare sector. Three-dimensional (3D) virtual surgical planning, fabrication of anatomical models, and patient-specific implants (PSI) are well-established processes in the surgical fields. Polyetheretherketone (PEEK) has been used, mainly in the reconstructive surgeries as a reliable alternative to other alloplastic materials for the fabrication of PSI. Recently, it has become possible to fabricate PEEK PSI with Fused Filament Fabrication (FFF) technology. 3D printing of PEEK using FFF allows construction of almost any complex design geometry, which cannot be manufactured using other technologies. In this study, we fabricated various PEEK PSI by FFF 3D printer in an effort to check the feasibility of manufacturing PEEK with 3D printing. Based on these preliminary results, PEEK can be successfully used as an appropriate biomaterial to reconstruct the surgical defects in a “biomimetic” design.
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Abstract
Non-invasive cross-sectional imaging techniques play a crucial role in the assessment of the varied manifestations of vascular disease. Vascular imaging encompasses a wide variety of pathology. Designing vascular imaging protocols can be challenging owing to the non-uniform velocity of blood in the aorta, differences in cardiac output between patients, and the effect of different disease states on blood flow. In this review, we provide the rationale behind—and a practical guide to—designing and implementing straightforward vascular computed tomography (CT) and magnetic resonance imaging (MRI) protocols. Teaching Points • There is a wide range of vascular pathologies requiring bespoke imaging protocols. • Variations in cardiac output and non-uniform blood velocity complicate vascular imaging. • Contrast media dose, injection rate and duration affect arterial enhancement in CTA. • Iterative CT reconstruction can improve image quality and reduce radiation dose. • MRA is of particular value when imaging small arteries and venous studies.
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Ballard DH, Trace AP, Ali S, Hodgdon T, Zygmont ME, DeBenedectis CM, Smith SE, Richardson ML, Patel MJ, Decker SJ, Lenchik L. Clinical Applications of 3D Printing: Primer for Radiologists. Acad Radiol 2018; 25:52-65. [PMID: 29030285 DOI: 10.1016/j.acra.2017.08.004] [Citation(s) in RCA: 87] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2017] [Revised: 08/31/2017] [Accepted: 08/31/2017] [Indexed: 12/22/2022]
Abstract
Three-dimensional (3D) printing refers to a number of manufacturing technologies that create physical models from digital information. Radiology is poised to advance the application of 3D printing in health care because our specialty has an established history of acquiring and managing the digital information needed to create such models. The 3D Printing Task Force of the Radiology Research Alliance presents a review of the clinical applications of this burgeoning technology, with a focus on the opportunities for radiology. Topics include uses for treatment planning, medical education, and procedural simulation, as well as patient education. Challenges for creating custom implantable devices including financial and regulatory processes for clinical application are reviewed. Precedent procedures that may translate to this new technology are discussed. The task force identifies research opportunities needed to document the value of 3D printing as it relates to patient care.
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Creating vascular models by postprocessing computed tomography angiography images: a guide for anatomical education. Surg Radiol Anat 2017; 39:905-910. [PMID: 28168520 DOI: 10.1007/s00276-017-1822-2] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2016] [Accepted: 01/16/2017] [Indexed: 01/17/2023]
Abstract
BACKGROUND A new application of teaching anatomy includes the use of computed tomography angiography (CTA) images to create clinically relevant three-dimensional (3D) printed models. The purpose of this article is to review recent innovations on the process and the application of 3D printed models as a tool for using under and post-graduate medical education. METHODS Images of aortic arch pattern received by CTA were converted into 3D images using the Google SketchUp free software and were saved in stereolithography format. Using a 3D printer (Makerbot), a model mode polylactic acid material was printed. RESULTS A two-vessel left aortic arch was identified consisting of the brachiocephalic trunk and left subclavian artery. The life-like 3D models were rotated 360° in all axes in hand. CONCLUSIONS The early adopters in education and clinical practices have embraced the medical imaging-guided 3D printed anatomical models for their ability to provide tactile feedback and a superior appreciation of visuospatial relationship between the anatomical structures. Printed vascular models are used to assist in preoperative planning, develop intraoperative guidance tools, and to teach patients surgical trainees in surgical practice.
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Abstract
3D-printed models fabricated from CT, MRI, or echocardiography data provide the advantage of haptic feedback, direct manipulation, and enhanced understanding of cardiovascular anatomy and underlying pathologies. Reported applications of cardiovascular 3D printing span from diagnostic assistance and optimization of management algorithms in complex cardiovascular diseases, to planning and simulating surgical and interventional procedures. The technology has been used in practically the entire range of structural, valvular, and congenital heart diseases, and the added-value of 3D printing is established. Patient-specific implants and custom-made devices can be designed, produced, and tested, thus opening new horizons in personalized patient care and cardiovascular research. Physicians and trainees can better elucidate anatomical abnormalities with the use of 3D-printed models, and communication with patients is markedly improved. Cardiovascular 3D bioprinting and molecular 3D printing, although currently not translated into clinical practice, hold revolutionary potential. 3D printing is expected to have a broad influence in cardiovascular care, and will prove pivotal for the future generation of cardiovascular imagers and care providers. In this Review, we summarize the cardiovascular 3D printing workflow, from image acquisition to the generation of a hand-held model, and discuss the cardiovascular applications and the current status and future perspectives of cardiovascular 3D printing.
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Tack P, Victor J, Gemmel P, Annemans L. 3D-printing techniques in a medical setting: a systematic literature review. Biomed Eng Online 2016; 15:115. [PMID: 27769304 PMCID: PMC5073919 DOI: 10.1186/s12938-016-0236-4] [Citation(s) in RCA: 534] [Impact Index Per Article: 66.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2016] [Accepted: 10/09/2016] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND Three-dimensional (3D) printing has numerous applications and has gained much interest in the medical world. The constantly improving quality of 3D-printing applications has contributed to their increased use on patients. This paper summarizes the literature on surgical 3D-printing applications used on patients, with a focus on reported clinical and economic outcomes. METHODS Three major literature databases were screened for case series (more than three cases described in the same study) and trials of surgical applications of 3D printing in humans. RESULTS 227 surgical papers were analyzed and summarized using an evidence table. The papers described the use of 3D printing for surgical guides, anatomical models, and custom implants. 3D printing is used in multiple surgical domains, such as orthopedics, maxillofacial surgery, cranial surgery, and spinal surgery. In general, the advantages of 3D-printed parts are said to include reduced surgical time, improved medical outcome, and decreased radiation exposure. The costs of printing and additional scans generally increase the overall cost of the procedure. CONCLUSION 3D printing is well integrated in surgical practice and research. Applications vary from anatomical models mainly intended for surgical planning to surgical guides and implants. Our research suggests that there are several advantages to 3D-printed applications, but that further research is needed to determine whether the increased intervention costs can be balanced with the observable advantages of this new technology. There is a need for a formal cost-effectiveness analysis.
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Affiliation(s)
- Philip Tack
- Department of Public Health, Ghent University, De Pintelaan 185, 9000, Ghent, Belgium.
| | - Jan Victor
- Ghent University Hospital, Ghent University, De Pintelaan 185, 9000, Ghent, Belgium
| | - Paul Gemmel
- Departement of Economics & Business Administration, Ghent University, Tweekerkenstraat 2, 9000, Ghent, Belgium
| | - Lieven Annemans
- Department of Public Health, Ghent University, De Pintelaan 185, 9000, Ghent, Belgium
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Mitsouras D, Liacouras P, Imanzadeh A, Giannopoulos AA, Cai T, Kumamaru KK, George E, Wake N, Caterson EJ, Pomahac B, Ho VB, Grant GT, Rybicki FJ. Medical 3D Printing for the Radiologist. Radiographics 2016; 35:1965-88. [PMID: 26562233 DOI: 10.1148/rg.2015140320] [Citation(s) in RCA: 354] [Impact Index Per Article: 44.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/17/2023]
Abstract
While use of advanced visualization in radiology is instrumental in diagnosis and communication with referring clinicians, there is an unmet need to render Digital Imaging and Communications in Medicine (DICOM) images as three-dimensional (3D) printed models capable of providing both tactile feedback and tangible depth information about anatomic and pathologic states. Three-dimensional printed models, already entrenched in the nonmedical sciences, are rapidly being embraced in medicine as well as in the lay community. Incorporating 3D printing from images generated and interpreted by radiologists presents particular challenges, including training, materials and equipment, and guidelines. The overall costs of a 3D printing laboratory must be balanced by the clinical benefits. It is expected that the number of 3D-printed models generated from DICOM images for planning interventions and fabricating implants will grow exponentially. Radiologists should at a minimum be familiar with 3D printing as it relates to their field, including types of 3D printing technologies and materials used to create 3D-printed anatomic models, published applications of models to date, and clinical benefits in radiology. Online supplemental material is available for this article.
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Affiliation(s)
- Dimitris Mitsouras
- From the Applied Imaging Science Laboratory, Department of Radiology (D.M., A.I., A.A.G., T.C., K.K.K., E.G., F.J.R.), and Division of Plastic Surgery, Department of Surgery (E.J.C., B.P.), Brigham and Women's Hospital, Boston, Mass; 3D Medical Applications Center, Department of Radiology, Walter Reed National Military Medical Center, Bethesda, Md (P.L., V.B.H., G.T.G.); Center for Advanced Imaging Innovation and Research, Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, NYU Langone Medical Center, New York, NY (N.W.); and Sackler Institute of Graduate Biomedical Sciences, New York University School of Medicine, New York, NY (N.W.)
| | - Peter Liacouras
- From the Applied Imaging Science Laboratory, Department of Radiology (D.M., A.I., A.A.G., T.C., K.K.K., E.G., F.J.R.), and Division of Plastic Surgery, Department of Surgery (E.J.C., B.P.), Brigham and Women's Hospital, Boston, Mass; 3D Medical Applications Center, Department of Radiology, Walter Reed National Military Medical Center, Bethesda, Md (P.L., V.B.H., G.T.G.); Center for Advanced Imaging Innovation and Research, Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, NYU Langone Medical Center, New York, NY (N.W.); and Sackler Institute of Graduate Biomedical Sciences, New York University School of Medicine, New York, NY (N.W.)
| | - Amir Imanzadeh
- From the Applied Imaging Science Laboratory, Department of Radiology (D.M., A.I., A.A.G., T.C., K.K.K., E.G., F.J.R.), and Division of Plastic Surgery, Department of Surgery (E.J.C., B.P.), Brigham and Women's Hospital, Boston, Mass; 3D Medical Applications Center, Department of Radiology, Walter Reed National Military Medical Center, Bethesda, Md (P.L., V.B.H., G.T.G.); Center for Advanced Imaging Innovation and Research, Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, NYU Langone Medical Center, New York, NY (N.W.); and Sackler Institute of Graduate Biomedical Sciences, New York University School of Medicine, New York, NY (N.W.)
| | - Andreas A Giannopoulos
- From the Applied Imaging Science Laboratory, Department of Radiology (D.M., A.I., A.A.G., T.C., K.K.K., E.G., F.J.R.), and Division of Plastic Surgery, Department of Surgery (E.J.C., B.P.), Brigham and Women's Hospital, Boston, Mass; 3D Medical Applications Center, Department of Radiology, Walter Reed National Military Medical Center, Bethesda, Md (P.L., V.B.H., G.T.G.); Center for Advanced Imaging Innovation and Research, Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, NYU Langone Medical Center, New York, NY (N.W.); and Sackler Institute of Graduate Biomedical Sciences, New York University School of Medicine, New York, NY (N.W.)
| | - Tianrun Cai
- From the Applied Imaging Science Laboratory, Department of Radiology (D.M., A.I., A.A.G., T.C., K.K.K., E.G., F.J.R.), and Division of Plastic Surgery, Department of Surgery (E.J.C., B.P.), Brigham and Women's Hospital, Boston, Mass; 3D Medical Applications Center, Department of Radiology, Walter Reed National Military Medical Center, Bethesda, Md (P.L., V.B.H., G.T.G.); Center for Advanced Imaging Innovation and Research, Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, NYU Langone Medical Center, New York, NY (N.W.); and Sackler Institute of Graduate Biomedical Sciences, New York University School of Medicine, New York, NY (N.W.)
| | - Kanako K Kumamaru
- From the Applied Imaging Science Laboratory, Department of Radiology (D.M., A.I., A.A.G., T.C., K.K.K., E.G., F.J.R.), and Division of Plastic Surgery, Department of Surgery (E.J.C., B.P.), Brigham and Women's Hospital, Boston, Mass; 3D Medical Applications Center, Department of Radiology, Walter Reed National Military Medical Center, Bethesda, Md (P.L., V.B.H., G.T.G.); Center for Advanced Imaging Innovation and Research, Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, NYU Langone Medical Center, New York, NY (N.W.); and Sackler Institute of Graduate Biomedical Sciences, New York University School of Medicine, New York, NY (N.W.)
| | - Elizabeth George
- From the Applied Imaging Science Laboratory, Department of Radiology (D.M., A.I., A.A.G., T.C., K.K.K., E.G., F.J.R.), and Division of Plastic Surgery, Department of Surgery (E.J.C., B.P.), Brigham and Women's Hospital, Boston, Mass; 3D Medical Applications Center, Department of Radiology, Walter Reed National Military Medical Center, Bethesda, Md (P.L., V.B.H., G.T.G.); Center for Advanced Imaging Innovation and Research, Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, NYU Langone Medical Center, New York, NY (N.W.); and Sackler Institute of Graduate Biomedical Sciences, New York University School of Medicine, New York, NY (N.W.)
| | - Nicole Wake
- From the Applied Imaging Science Laboratory, Department of Radiology (D.M., A.I., A.A.G., T.C., K.K.K., E.G., F.J.R.), and Division of Plastic Surgery, Department of Surgery (E.J.C., B.P.), Brigham and Women's Hospital, Boston, Mass; 3D Medical Applications Center, Department of Radiology, Walter Reed National Military Medical Center, Bethesda, Md (P.L., V.B.H., G.T.G.); Center for Advanced Imaging Innovation and Research, Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, NYU Langone Medical Center, New York, NY (N.W.); and Sackler Institute of Graduate Biomedical Sciences, New York University School of Medicine, New York, NY (N.W.)
| | - Edward J Caterson
- From the Applied Imaging Science Laboratory, Department of Radiology (D.M., A.I., A.A.G., T.C., K.K.K., E.G., F.J.R.), and Division of Plastic Surgery, Department of Surgery (E.J.C., B.P.), Brigham and Women's Hospital, Boston, Mass; 3D Medical Applications Center, Department of Radiology, Walter Reed National Military Medical Center, Bethesda, Md (P.L., V.B.H., G.T.G.); Center for Advanced Imaging Innovation and Research, Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, NYU Langone Medical Center, New York, NY (N.W.); and Sackler Institute of Graduate Biomedical Sciences, New York University School of Medicine, New York, NY (N.W.)
| | - Bohdan Pomahac
- From the Applied Imaging Science Laboratory, Department of Radiology (D.M., A.I., A.A.G., T.C., K.K.K., E.G., F.J.R.), and Division of Plastic Surgery, Department of Surgery (E.J.C., B.P.), Brigham and Women's Hospital, Boston, Mass; 3D Medical Applications Center, Department of Radiology, Walter Reed National Military Medical Center, Bethesda, Md (P.L., V.B.H., G.T.G.); Center for Advanced Imaging Innovation and Research, Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, NYU Langone Medical Center, New York, NY (N.W.); and Sackler Institute of Graduate Biomedical Sciences, New York University School of Medicine, New York, NY (N.W.)
| | - Vincent B Ho
- From the Applied Imaging Science Laboratory, Department of Radiology (D.M., A.I., A.A.G., T.C., K.K.K., E.G., F.J.R.), and Division of Plastic Surgery, Department of Surgery (E.J.C., B.P.), Brigham and Women's Hospital, Boston, Mass; 3D Medical Applications Center, Department of Radiology, Walter Reed National Military Medical Center, Bethesda, Md (P.L., V.B.H., G.T.G.); Center for Advanced Imaging Innovation and Research, Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, NYU Langone Medical Center, New York, NY (N.W.); and Sackler Institute of Graduate Biomedical Sciences, New York University School of Medicine, New York, NY (N.W.)
| | - Gerald T Grant
- From the Applied Imaging Science Laboratory, Department of Radiology (D.M., A.I., A.A.G., T.C., K.K.K., E.G., F.J.R.), and Division of Plastic Surgery, Department of Surgery (E.J.C., B.P.), Brigham and Women's Hospital, Boston, Mass; 3D Medical Applications Center, Department of Radiology, Walter Reed National Military Medical Center, Bethesda, Md (P.L., V.B.H., G.T.G.); Center for Advanced Imaging Innovation and Research, Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, NYU Langone Medical Center, New York, NY (N.W.); and Sackler Institute of Graduate Biomedical Sciences, New York University School of Medicine, New York, NY (N.W.)
| | - Frank J Rybicki
- From the Applied Imaging Science Laboratory, Department of Radiology (D.M., A.I., A.A.G., T.C., K.K.K., E.G., F.J.R.), and Division of Plastic Surgery, Department of Surgery (E.J.C., B.P.), Brigham and Women's Hospital, Boston, Mass; 3D Medical Applications Center, Department of Radiology, Walter Reed National Military Medical Center, Bethesda, Md (P.L., V.B.H., G.T.G.); Center for Advanced Imaging Innovation and Research, Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, NYU Langone Medical Center, New York, NY (N.W.); and Sackler Institute of Graduate Biomedical Sciences, New York University School of Medicine, New York, NY (N.W.)
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Tam MD, Latham TR, Lewis M, Khanna K, Zaman A, Parker M, Grunwald IQ. A Pilot Study Assessing the Impact of 3-D Printed Models of Aortic Aneurysms on Management Decisions in EVAR Planning. Vasc Endovascular Surg 2016; 50:4-9. [DOI: 10.1177/1538574415623651] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Introduction: Endovascular repair of aortic aneurysms with difficult anatomy is challenging. There is no consensus for planning such procedures. Methods: Six cases of aortic aneurysms with challenging anatomical features, such as short, angulated, and conical necks and tortuous iliacs were harvested. The computed tomography (CT) scans were anonymized. Lifesize 3-dimensional (3-D) printed models were created of the lumen. Endovascular operators were asked to review the CT angiography (CTA), make a management plan, and give an indication of their confidence. They were then presented with the equivalent model and asked to review their decision. Their attitudes to such models were briefly surveyed. Results: A total of 28 endovascular operators reviewed 144 cases. After review of the physical model, the management plan changed in 29 (20.1%) of 144 cases. Initial plan after CTA review was endovascular 73.6%, open repair 22.9%, and second opinion 3.5%. After model review, this became endovascular 67.4%, open repair 19.4%, and second opinion 4.8%. Although the general trend was toward more open procedures, off-label techniques reduced from 19.4% to 15.2% following model review. When the management plan did not change, level of confidence did increase in 37 (43.5%) of 85 cases. The majority of operators stated that they would find models useful for planning in some procedures. For 1 case, the change in the percentage of participants being sure in the management plan was statistically significant ( P = .031). Conclusion: The 3-D printed models may be potentially useful in planning cases with EVAR. It is a paradigm that warrants further investigation.
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Affiliation(s)
- Matthew D. Tam
- Department of Radiology, Southend University Hopsital NHS Foundation Trust, Southend, United Kingdom
| | - Tom R. Latham
- Department of Radiology, Southend University Hopsital NHS Foundation Trust, Southend, United Kingdom
| | - Mark Lewis
- Department of Radiology, Norfolk and Norwich University Hospital NHS Foundation Trust, Norwich, United Kingdom
| | - Kunal Khanna
- Department of Radiology, St. Bartholomew’s and the Royal London NHS Foundation Trust, London, United Kingdom
| | - Ali Zaman
- Department of Radiology, Southend University Hopsital NHS Foundation Trust, Southend, United Kingdom
| | - Mike Parker
- Neuroscience and Vascular Simulation Unit, Postgraduate Medical Institute, Anglia Ruskin University, Chelmsford, United Kingdom
| | - Iris Q. Grunwald
- Department of Radiology, Southend University Hopsital NHS Foundation Trust, Southend, United Kingdom
- Neuroscience and Vascular Simulation Unit, Postgraduate Medical Institute, Anglia Ruskin University, Chelmsford, United Kingdom
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Bustamante S, Bose S, Bishop P, Klatte R, Norris F. Novel application of rapid prototyping for simulation of bronchoscopic anatomy. J Cardiothorac Vasc Anesth 2013; 28:1122-5. [PMID: 24332921 DOI: 10.1053/j.jvca.2013.08.015] [Citation(s) in RCA: 48] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/25/2013] [Indexed: 11/11/2022]
Abstract
OBJECTIVE The authors used rapid prototyping (RP) technology to create anatomically congruent models of tracheo-bronchial tree for teaching relevant bronchoscopic anatomy. DESIGN Pilot study. SETTING A single level tertiary academic medical center. INTERVENTIONS Two 3 dimensional (3D) models of tracheo-bronchial tree (one showing normal anatomy and another with an early take off of right apical bronchus) were recreated from Computed Tomographic images using RP technology. These images were then attached to mannequins and examined with a flexible fiberoptic bronchoscope (FFB). These images were then compared with the actual FFB images obtained during lung isolation. MEASUREMENTS AND MAIN RESULTS The images obtained through the 3D models were found to be congruent to actual patient anatomy. CONCLUSIONS RP can be successfully used to create anatomically accurate models from imaging studies. There is potential for RP to become a valuable educational tool in the future.
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Affiliation(s)
- Sergio Bustamante
- Department of Cardiothoracic Anesthesiology, Cleveland Clinic Foundation, Cleveland, OH
| | - Somnath Bose
- Anesthesiology Institute, Cleveland Clinic Foundation, Cleveland, OH.
| | - Paul Bishop
- Department of Vascular Surgery, Peripheral Core Lab, Cleveland Clinic Foundation, Cleveland, OH
| | - Ryan Klatte
- Lerner Research Institute, Cleveland Clinic Foundation, Cleveland, OH
| | - Frederick Norris
- Department of Cardiothoracic Anesthesiology, Cleveland Clinic Foundation, Cleveland, OH
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Computer-Aided Diagnosis of Abdominal Aortic Aneurysms. STUDIES IN MECHANOBIOLOGY, TISSUE ENGINEERING AND BIOMATERIALS 2011. [DOI: 10.1007/8415_2011_70] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/12/2023]
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