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Sommer KN, Bhurwani MMS, Tutino V, Siddiqui A, Davies J, Snyder K, Levy E, Mokin M, Ionita CN. Use of patient specific 3D printed neurovascular phantoms to simulate mechanical thrombectomy. 3D Print Med 2021; 7:32. [PMID: 34568987 PMCID: PMC8474770 DOI: 10.1186/s41205-021-00122-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2021] [Accepted: 09/11/2021] [Indexed: 01/27/2023] Open
Abstract
BACKGROUND The ability of the patient specific 3D printed neurovascular phantoms to accurately replicate the anatomy and hemodynamics of the chronic neurovascular diseases has been demonstrated by many studies. Acute occurrences, however, may still require further development and investigation and therefore we studied acute ischemic stroke (AIS). The efficacy of endovascular procedures such as mechanical thrombectomy (MT) for the treatment of large vessel occlusion (LVO), can be improved by testing the performance of thrombectomy devices and techniques using patient specific 3D printed neurovascular models. METHODS 3D printed phantoms were connected to a flow loop with physiologically relevant flow conditions, including input flow rate and fluid temperature. A simulated blood clot was introduced into the model and placed in the proximal Middle Cerebral Artery (MCA) region. Clot location, composition, length, and arterial angulation were varied and MTs were simulated using stent retrievers. Device placement relative to the clot and the outcome of the thrombectomy were recorded for each situation. Digital subtraction angiograms (DSA) were captured before and after LVO simulation. Recanalization outcome was evaluated using DSA as either 'no recanalization' or 'recanalization'. Forty-two 3DP neurovascular phantom benchtop experiments were performed. RESULTS Clot angulation within the MCA region had the most significant impact on the MT outcome, with a p-value of 0.016. Other factors such as clot location, clot composition, and clot length correlated weakly with the MT outcome. CONCLUSIONS This project allowed us to gain knowledge of how such characteristics influence thrombectomy success and can be used in making clinical decisions when planning the procedure and selecting specific thrombectomy tools and approaches.
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Affiliation(s)
- Kelsey N. Sommer
- grid.273335.30000 0004 1936 9887Department of Biomedical Engineering, University at Buffalo, Buffalo, NY 14228 USA ,grid.273335.30000 0004 1936 9887Canon Stroke and Vascular Research Center, University at Buffalo, Buffalo, NY 14208 USA
| | - Mohammad Mahdi Shiraz Bhurwani
- grid.273335.30000 0004 1936 9887Department of Biomedical Engineering, University at Buffalo, Buffalo, NY 14228 USA ,grid.273335.30000 0004 1936 9887Canon Stroke and Vascular Research Center, University at Buffalo, Buffalo, NY 14208 USA
| | - Vincent Tutino
- grid.273335.30000 0004 1936 9887Canon Stroke and Vascular Research Center, University at Buffalo, Buffalo, NY 14208 USA ,grid.273335.30000 0004 1936 9887Department of Neurosurgery, University at Buffalo, Buffalo, NY 14208 USA ,grid.273335.30000 0004 1936 9887Department of Pathology and Anatomical Sciences, University at Buffalo, Buffalo, 14208 USA
| | - Adnan Siddiqui
- grid.273335.30000 0004 1936 9887Canon Stroke and Vascular Research Center, University at Buffalo, Buffalo, NY 14208 USA ,grid.273335.30000 0004 1936 9887Department of Neurosurgery, University at Buffalo, Buffalo, NY 14208 USA
| | - Jason Davies
- grid.273335.30000 0004 1936 9887Canon Stroke and Vascular Research Center, University at Buffalo, Buffalo, NY 14208 USA ,grid.273335.30000 0004 1936 9887Department of Neurosurgery, University at Buffalo, Buffalo, NY 14208 USA ,grid.273335.30000 0004 1936 9887Department of Biomedical Informatics, University at Buffalo, Buffalo, 14208 USA
| | - Kenneth Snyder
- grid.273335.30000 0004 1936 9887Canon Stroke and Vascular Research Center, University at Buffalo, Buffalo, NY 14208 USA ,grid.273335.30000 0004 1936 9887Department of Neurosurgery, University at Buffalo, Buffalo, NY 14208 USA
| | - Elad Levy
- grid.273335.30000 0004 1936 9887Canon Stroke and Vascular Research Center, University at Buffalo, Buffalo, NY 14208 USA ,grid.273335.30000 0004 1936 9887Department of Neurosurgery, University at Buffalo, Buffalo, NY 14208 USA
| | - Maxim Mokin
- grid.170693.a0000 0001 2353 285XDepartment of Neurosurgery and Brain Repair, University of South Florida, Tampa, FL 33620 USA
| | - Ciprian N. Ionita
- grid.273335.30000 0004 1936 9887Department of Biomedical Engineering, University at Buffalo, Buffalo, NY 14228 USA ,grid.273335.30000 0004 1936 9887Canon Stroke and Vascular Research Center, University at Buffalo, Buffalo, NY 14208 USA ,grid.273335.30000 0004 1936 9887Department of Neurosurgery, University at Buffalo, Buffalo, NY 14208 USA
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Paccione E, Ionita CN. Challenges in hemodynamics assessment in complex neurovascular geometries using computational fluid dynamics and benchtop flow simulation in 3D printed patient specific phantoms. PROCEEDINGS OF SPIE--THE INTERNATIONAL SOCIETY FOR OPTICAL ENGINEERING 2021; 11600. [PMID: 33814673 DOI: 10.1117/12.2582169] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
Purpose Complex hemodynamics assessments, as those related to carotid stenosis, are not always easily straightforward due to multifaceted challenges presented by the collateral flow in the Circle of Willis (CoW) and brain flow autoregulation. Advanced computational and benchtop methods to investigate hemodynamics aspects related to such complex flows are often used, however both have limitations and could lead to results which may diverge. In this study we investigated these aspects by performing correlated computational fluid dynamics (CFD) simulations and benchtop experiments in patient specific 3D printed phantoms. Materials and Methods To investigate the flow in patients with carotid stenosis, we built two patient specific phantoms which contained the arterial lesion of interest, all main arteries leading to the brain, the CoW and main arteries branching from it. Each phantom was connected to a generic aortic arch. A programmable pump was connected and flow parameters were measured proximal and distal to the lesion and the contralateral arteries. The patient 3D geometry was used to perform a set of CFD simulations where inflow boundary conditions matched the experimental ones. Flow conditions were recorded at the same locations as the experimental setup. Further exploration into the translation from experimental to CFD was also performed by customizing vascular segmentation and physically manipulating arterial compliance properties. Results We initially observed significant differences between the CFD recordings and the experimental setup. Most of the differences were due to changes in phantom geometry when subjected to physiological pressures and simplistic outflow boundary conditions in the CFD simulations which do not account for pulsatility and nonlinear phenomena. Further work confirms the need for dynamic mesh behavior within CFD simulations attempting to computationally mimic 3D-printed benchtop experiments. Additionally, CFD simulation may benefit from considering geometry specific to a 3D-printed vascular phantom.
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Affiliation(s)
- Eric Paccione
- University Dept. of Biomedical Engineering, University at Buffalo, Buffalo, NY
| | - Ciprian N Ionita
- University Dept. of Biomedical Engineering, University at Buffalo, Buffalo, NY.,Canon Stroke and Vascular Research Center, Buffalo, NY
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Ali A, Ballard DH, Althobaity W, Christensen A, Geritano M, Ho M, Liacouras P, Matsumoto J, Morris J, Ryan J, Shorti R, Wake N, Rybicki FJ, Sheikh A. Clinical situations for which 3D printing is considered an appropriate representation or extension of data contained in a medical imaging examination: adult cardiac conditions. 3D Print Med 2020; 6:24. [PMID: 32965536 PMCID: PMC7510265 DOI: 10.1186/s41205-020-00078-1] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2020] [Accepted: 09/04/2020] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Medical 3D printing as a component of care for adults with cardiovascular diseases has expanded dramatically. A writing group composed of the Radiological Society of North America (RSNA) Special Interest Group on 3D Printing (SIG) provides appropriateness criteria for adult cardiac 3D printing indications. METHODS A structured literature search was conducted to identify all relevant articles using 3D printing technology associated with a number of adult cardiac indications, physiologic, and pathologic processes. Each study was vetted by the authors and graded according to published guidelines. RESULTS Evidence-based appropriateness guidelines are provided for the following areas in adult cardiac care; cardiac fundamentals, perioperative and intraoperative care, coronary disease and ischemic heart disease, complications of myocardial infarction, valve disease, cardiac arrhythmias, cardiac neoplasm, cardiac transplant and mechanical circulatory support, heart failure, preventative cardiology, cardiac and pericardial disease and cardiac trauma. CONCLUSIONS Adoption of common clinical standards regarding appropriate use, information and material management, and quality control are needed to ensure the greatest possible clinical benefit from 3D printing. This consensus guideline document, created by the members of the RSNA 3D printing Special Interest Group, will provide a reference for clinical standards of 3D printing for adult cardiac indications.
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Affiliation(s)
- Arafat Ali
- Department of Radiology, University of Cincinnati Medical Center, Cincinnati, OH, USA.
| | - David H Ballard
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, Saint Louis, MO, USA
| | - Waleed Althobaity
- King Faisal Specialist Hospital and Research Centre, Riyadh, Saudi Arabia
| | - Andy Christensen
- Department of Radiology and The Ottawa Hospital Research Institute, University of Ottawa, Ottawa, ON, Canada
| | | | - Michelle Ho
- Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA, USA
| | - Peter Liacouras
- 3D Medical Applications Center, Walter Reed National Military Medical Center, Washington, DC, USA
| | - Jane Matsumoto
- Department of Radiology, Mayo Clinic, Rochester, MN, USA
| | | | - Justin Ryan
- Rady Children's Hospital, San Diego, CA, USA
| | - Rami Shorti
- Intermountain Healthcare, South Jordan, UT, USA
| | - Nicole Wake
- Department of Radiology, Montefiore Medical Center, Bronx, NY, USA
| | - Frank J Rybicki
- Department of Radiology, University of Cincinnati Medical Center, Cincinnati, OH, USA
| | - Adnan Sheikh
- Department of Radiology and The Ottawa Hospital Research Institute, University of Ottawa, Ottawa, ON, Canada
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Design, Implementation, and Validation of a Pulsatile Heart Phantom Pump. J Digit Imaging 2020; 33:1301-1305. [PMID: 32779017 PMCID: PMC7573087 DOI: 10.1007/s10278-020-00375-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2019] [Revised: 06/25/2020] [Accepted: 07/23/2020] [Indexed: 10/25/2022] Open
Abstract
The developments in Computed Tomography (CT) and Magnetic Resonance allow visualization of blood flow in vivo using these techniques. However, validation tests are needed to determine a gold standard. For the validation tests, controllable systems that can generate pulsatile flow are needed. In this study, we aimed to develop an affordable pulsatile pump and an artificial circulatory system to simulate the blood flow for validation purposes. Initially, the prerequisites for the phantom were pulsating flow output equal to that of the human cardiac pulse pattern; the flow pattern of the mimicked cardiac output should be equal to that of a human, a variable stroke volume (40-120 ml/beat), and a variable heart rate (60-170 bpm). The developed phantom setup was tested with CT scanner. A washout profile was created based on the image intensity of the selected slice. The test was successful for a heart rate of 70 bpm and a stroke volume of 68 ml, but the system failed to work at various heartbeats and stroke volumes. This was due to the problems with software of the microcontroller. As conclusion in this study, we present a proof of concept for a pulsatile heart phantom pump that can be used in validation tests.
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Sommer KN, Iyer V, Kumamaru KK, Rava RA, Ionita CN. Method to simulate distal flow resistance in coronary arteries in 3D printed patient specific coronary models. 3D Print Med 2020; 6:19. [PMID: 32761497 PMCID: PMC7410153 DOI: 10.1186/s41205-020-00072-7] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2020] [Accepted: 07/24/2020] [Indexed: 12/23/2022] Open
Abstract
BACKGROUND Three-dimensional printing (3DP) offers a unique opportunity to build flexible vascular patient-specific coronary models for device testing, treatment planning, and physiological simulations. By optimizing the 3DP design to replicate the geometrical and mechanical properties of healthy and diseased arteries, we may improve the relevance of using such models to simulate the hemodynamics of coronary disease. We developed a method to build 3DP patient specific coronary phantoms, which maintain a significant part of the coronary tree, while preserving geometrical accuracy of the atherosclerotic plaques and allows for an adjustable hydraulic resistance. METHODS Coronary computed tomography angiography (CCTA) data was used within Vitrea (Vital Images, Minnetonka, MN) cardiac analysis application for automatic segmentation of the aortic root, Left Anterior Descending (LAD), Left Circumflex (LCX), Right Coronary Artery (RCA), and calcifications. Stereolithographic (STL) files of the vasculature and calcium were imported into Autodesk Meshmixer for 3D model optimization. A base with three chambers was built and interfaced with the phantom to allow fluid collection and independent distal resistance adjustment of the RCA, LAD and LCX and branching arteries. For the 3DP we used Agilus for the arterial wall, VeroClear for the base and a Vero blend for the calcifications, respectively. Each chamber outlet allowed interface with catheters of varying lengths and diameters for simulation of hydraulic resistance of both normal and hyperemic coronary flow conditions. To demonstrate the manufacturing approach appropriateness, models were tested in flow experiments. RESULTS Models were used successfully in flow experiments to simulate normal and hyperemic flow conditions. The inherent mean resistance of the chamber for the LAD, LCX, and RCA, were 1671, 1820, and 591 (dynes ∙ sec/ cm5), respectively. This was negligible when compared with estimates in humans, with the chamber resistance equating to 0.65-5.86%, 1.23-6.86%, and 0.05-1.67% of the coronary resistance for the LAD, LCX, and RCA, respectively at varying flow rates and activity states. Therefore, the chamber served as a means to simulate the compliance of the distal coronary trees and to allow facile coupling with a set of known resistance catheters to simulate various physical activity levels. CONCLUSIONS We have developed a method to create complex 3D printed patient specific coronary models derived from CCTA, which allow adjustable distal capillary bed resistances. This manufacturing approach permits comprehensive coronary model development which may be used for physiologically relevant flow simulations.
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Affiliation(s)
- Kelsey N Sommer
- Department of Biomedical Engineering, University at Buffalo, Buffalo, NY, USA
- Canon Stroke and Vascular Research Center, University at Buffalo, Buffalo, NY, USA
| | - Vijay Iyer
- University at Buffalo Cardiology, University at Buffalo Jacobs School of Medicine, Buffalo, NY, USA
| | | | - Ryan A Rava
- Department of Biomedical Engineering, University at Buffalo, Buffalo, NY, USA
- Canon Stroke and Vascular Research Center, University at Buffalo, Buffalo, NY, USA
| | - Ciprian N Ionita
- Department of Biomedical Engineering, University at Buffalo, Buffalo, NY, USA.
- Canon Stroke and Vascular Research Center, University at Buffalo, Buffalo, NY, USA.
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Shepard LM, Sommer KN, Angel E, Iyer V, Wilson MF, Rybicki FJ, Mitsouras D, Molloi S, Ionita CN. Initial evaluation of three-dimensionally printed patient-specific coronary phantoms for CT-FFR software validation. J Med Imaging (Bellingham) 2019; 6:021603. [PMID: 30891468 DOI: 10.1117/1.jmi.6.2.021603] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2018] [Accepted: 02/19/2019] [Indexed: 12/17/2022] Open
Abstract
We developed three-dimensionally (3D) printed patient-specific coronary phantoms that are capable of sustaining physiological flow and pressure conditions. We assessed the accuracy of these phantoms from coronary CT acquisition, benchtop experimentation, and CT-FFR software. Five patients with coronary artery disease underwent 320-detector row coronary CT angiography (CCTA) (Aquilion ONE, Canon Medical Systems) and a catheter lab procedure to measure fractional flow reserve (FFR). The aortic root and three main coronary arteries were segmented (Vitrea, Vital Images) and 3D printed (Eden 260V, Stratasys). Phantoms were connected into a pulsatile flow loop, which replicated physiological flow and pressure gradients. Contrast was introduced and the phantoms were scanned using the same CT scanner model and CCTA protocol as used for the patients. Image data from the phantoms were input to a CT-FFR research software (Canon Medical Systems) and compared to those derived from the clinical data, along with comparisons between image measurements and benchtop FFR results. Phantom diameter measurements were within 1 mm on average compared to patient measurements. Patient and phantom CT-FFR results had an absolute mean difference of 4.34% and Pearson correlation of 0.95. We have demonstrated the capabilities of 3D printed patient-specific phantoms in a diagnostic software.
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Affiliation(s)
- Lauren M Shepard
- University at Buffalo, University Department of Biomedical Engineering, Buffalo, New York, United States.,Canon Stroke and Vascular Research Center, Buffalo, New York, United States
| | - Kelsey N Sommer
- University at Buffalo, University Department of Biomedical Engineering, Buffalo, New York, United States.,Canon Stroke and Vascular Research Center, Buffalo, New York, United States
| | - Erin Angel
- Canon Medical Systems USA, Tustin, California, United States
| | - Vijay Iyer
- University at Buffalo Medicine, Interventional Cardiology, UBMD, Buffalo, New York, United States
| | - Michael F Wilson
- University at Buffalo Medicine, Interventional Cardiology, UBMD, Buffalo, New York, United States
| | - Frank J Rybicki
- University of Ottawa, Ottawa Hospital Research Institute and the Department of Radiology, Ottawa, Canada
| | - Dimitrios Mitsouras
- University of Ottawa, Ottawa Hospital Research Institute and the Department of Radiology, Ottawa, Canada
| | - Sabee Molloi
- University of California Irvine, University Department of Radiological Sciences, Irvine, California, United States
| | - Ciprian N Ionita
- University at Buffalo, University Department of Biomedical Engineering, Buffalo, New York, United States.,Canon Stroke and Vascular Research Center, Buffalo, New York, United States.,University at Buffalo, University Department of Neurosurgery, Buffalo, New York, United States
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Sommer KN, Shepard L, Karkhanis NV, Iyer V, Angel E, Wilson MF, Rybicki FJ, Mitsouras D, Rudin S, Ionita CN. 3D Printed Cardiovascular Patient Specific Phantoms Used for Clinical Validation of a CT-derived FFR Diagnostic Software. PROCEEDINGS OF SPIE--THE INTERNATIONAL SOCIETY FOR OPTICAL ENGINEERING 2018; 10578. [PMID: 29899591 DOI: 10.1117/12.2292736] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
Purpose 3D printed patient specific vascular models provide the ability to perform precise and repeatable benchtop experiments with simulated physiological blood flow conditions. This approach can be applied to CT-derived patient geometries to determine coronary flow related parameters such as Fractional Flow Reserve (FFR). To demonstrate the utility of this approach we compared bench-top results with non-invasive CT-derived FFR software based on a computational fluid dynamics algorithm and catheter based FFR measurements. Materials and Methods Twelve patients for whom catheter angiography was clinically indicated signed written informed consent to CT Angiography (CTA) before their standard care that included coronary angiography (ICA) and conventional FFR (Angio-FFR). The research CTA was used first to determine CT-derived FFR (Vital Images) and second to generate patient specific 3D printed models of the aortic root and three main coronary arteries that were connected to a programmable pulsatile pump. Benchtop FFR was derived from pressures measured proximal and distal to coronary stenosis using pressure transducers. Results All 12 patients completed the clinical study without any complication, and the three FFR techniques (Angio-FFR, CT-FFR, and Benchtop FFR) are reported for one or two main coronary arteries. The Pearson correlation among Benchtop FFR/Angio-FFR, CT-FFR/ Benchtop FFR, and CT-FFR/ Angio-FFR are 0.871, 0.877, and 0.927 respectively. Conclusions 3D printed patient specific cardiovascular models successfully simulated hyperemic blood flow conditions, matching invasive Angio-FFR measurements. This benchtop flow system could be used to validate CT-derived FFR diagnostic software, alleviating both cost and risk during invasive procedures.
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Affiliation(s)
- Kelsey N Sommer
- Department of Biomedical Engineering, University at Buffalo, Buffalo NY 14228.,Toshiba-Canon Stroke and Vascular Research Center, University at Buffalo, Buffalo NY 14208
| | - Lauren Shepard
- Department of Biomedical Engineering, University at Buffalo, Buffalo NY 14228.,Toshiba-Canon Stroke and Vascular Research Center, University at Buffalo, Buffalo NY 14208
| | - Nitant Vivek Karkhanis
- Department of Biomedical Engineering, University at Buffalo, Buffalo NY 14228.,Toshiba-Canon Stroke and Vascular Research Center, University at Buffalo, Buffalo NY 14208
| | - Vijay Iyer
- Toshiba-Canon Stroke and Vascular Research Center, University at Buffalo, Buffalo NY 14208.,University at Buffalo Cardiology, University at Buffalo Jacobs School of Medicine, Buffalo NY 14208
| | - Erin Angel
- Canon Medical Systems USA, Irvine CA 92780
| | - Michael F Wilson
- Toshiba-Canon Stroke and Vascular Research Center, University at Buffalo, Buffalo NY 14208.,University at Buffalo Cardiology, University at Buffalo Jacobs School of Medicine, Buffalo NY 14208
| | - Frank J Rybicki
- The Ottawa Hospital Research Institute and the Department of Radiology, University of Ottawa, Ottawa, ON, CA
| | | | - Stephen Rudin
- Department of Biomedical Engineering, University at Buffalo, Buffalo NY 14228.,Toshiba-Canon Stroke and Vascular Research Center, University at Buffalo, Buffalo NY 14208
| | - Ciprian N Ionita
- Department of Biomedical Engineering, University at Buffalo, Buffalo NY 14228.,Toshiba-Canon Stroke and Vascular Research Center, University at Buffalo, Buffalo NY 14208
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Wilke CT, Zaid M, Chung C, Fuller CD, Mohamed ASR, Skinner H, Phan J, Gunn GB, Morrison WH, Garden AS, Frank SJ, Rosenthal DI, Chambers MS, Koay EJ. Design and fabrication of a 3D-printed oral stent for head and neck radiotherapy from routine diagnostic imaging. 3D Print Med 2017; 3:12. [PMID: 29782600 PMCID: PMC5954788 DOI: 10.1186/s41205-017-0021-4] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2017] [Accepted: 11/10/2017] [Indexed: 11/10/2022] Open
Abstract
Background Oral stents have been shown to reduce the deleterious effects of head and neck radiotherapy through the displacement of normal tissues away from the areas of high dose irradiation. While these stents are commonly used in the treatment of patients with head and neck cancer at many large academic cancer centers, their use is much more limited outside of these institutions due to the time and expertise required for their fabrication. Results In the study, we describe a novel method to design and manufacture oral stents from routine computed tomography (CT) imaging studies through the use of 3D printing technologies. Conclusion Our proposed method may help to greatly expand access to these beneficial devices for patients undergoing radiation treatment at centers without access to dental and oral/maxillofacial specialists.
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Affiliation(s)
- Christopher T Wilke
- Department of Radiation Oncology, University of Minnesota, Minneapolis, MN USA.,2Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, 1220 Holcombe Blvd, MS97, Houston, TX 77030 USA
| | - Mohamed Zaid
- 2Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, 1220 Holcombe Blvd, MS97, Houston, TX 77030 USA
| | - Caroline Chung
- 2Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, 1220 Holcombe Blvd, MS97, Houston, TX 77030 USA
| | - Clifton D Fuller
- 2Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, 1220 Holcombe Blvd, MS97, Houston, TX 77030 USA
| | - Abdallah S R Mohamed
- 2Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, 1220 Holcombe Blvd, MS97, Houston, TX 77030 USA
| | - Heath Skinner
- 2Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, 1220 Holcombe Blvd, MS97, Houston, TX 77030 USA
| | - Jack Phan
- 2Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, 1220 Holcombe Blvd, MS97, Houston, TX 77030 USA
| | - G Brandon Gunn
- 2Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, 1220 Holcombe Blvd, MS97, Houston, TX 77030 USA
| | - William H Morrison
- 2Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, 1220 Holcombe Blvd, MS97, Houston, TX 77030 USA
| | - Adam S Garden
- 2Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, 1220 Holcombe Blvd, MS97, Houston, TX 77030 USA
| | - Steven J Frank
- 2Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, 1220 Holcombe Blvd, MS97, Houston, TX 77030 USA
| | - David I Rosenthal
- 2Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, 1220 Holcombe Blvd, MS97, Houston, TX 77030 USA
| | - Mark S Chambers
- 3Department of Head and Neck Surgery, Section of Oral Oncology, University of Texas MD Anderson Cancer Center, Houston, TX USA
| | - Eugene J Koay
- 2Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, 1220 Holcombe Blvd, MS97, Houston, TX 77030 USA
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