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Mohanadas HP, Nair V, Doctor AA, Faudzi AAM, Tucker N, Ismail AF, Ramakrishna S, Saidin S, Jaganathan SK. A Systematic Analysis of Additive Manufacturing Techniques in the Bioengineering of In Vitro Cardiovascular Models. Ann Biomed Eng 2023; 51:2365-2383. [PMID: 37466879 PMCID: PMC10598155 DOI: 10.1007/s10439-023-03322-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2023] [Accepted: 07/13/2023] [Indexed: 07/20/2023]
Abstract
Additive Manufacturing is noted for ease of product customization and short production run cost-effectiveness. As our global population approaches 8 billion, additive manufacturing has a future in maintaining and improving average human life expectancy for the same reasons that it has advantaged general manufacturing. In recent years, additive manufacturing has been applied to tissue engineering, regenerative medicine, and drug delivery. Additive Manufacturing combined with tissue engineering and biocompatibility studies offers future opportunities for various complex cardiovascular implants and surgeries. This paper is a comprehensive overview of current technological advancements in additive manufacturing with potential for cardiovascular application. The current limitations and prospects of the technology for cardiovascular applications are explored and evaluated.
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Affiliation(s)
| | - Vivek Nair
- Computational Fluid Dynamics (CFD) Lab, Mechanical and Aerospace Engineering, University of Texas Arlington, Arlington, TX, 76010, USA
| | | | - Ahmad Athif Mohd Faudzi
- Faculty of Engineering, School of Electrical Engineering, Universiti Teknologi Malaysia, Johor Bahru, Malaysia
- Centre for Artificial Intelligence and Robotics, Universiti Teknologi Malaysia, Kuala Lumpur, Malaysia
| | - Nick Tucker
- School of Engineering, College of Science, Brayford Pool, Lincoln, LN6 7TS, UK
| | - Ahmad Fauzi Ismail
- School of Chemical and Energy Engineering, Advanced Membrane Technology Research Centre (AMTEC), Universiti Teknologi Malaysia, Skudai, Malaysia
| | - Seeram Ramakrishna
- Department of Mechanical Engineering, Center for Nanofibers & Nanotechnology Initiative, National University of Singapore, Singapore, Singapore
| | - Syafiqah Saidin
- IJNUTM Cardiovascular Engineering Centre, Universiti Teknologi Malaysia, Johor Bahru, Malaysia
| | - Saravana Kumar Jaganathan
- Faculty of Engineering, School of Electrical Engineering, Universiti Teknologi Malaysia, Johor Bahru, Malaysia.
- Centre for Artificial Intelligence and Robotics, Universiti Teknologi Malaysia, Kuala Lumpur, Malaysia.
- School of Engineering, College of Science, Brayford Pool, Lincoln, LN6 7TS, UK.
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The First Successful Transcatheter Closure of an Inferior Sinus Venosus Defect with Anomalous Drainage of the Right Lower Pulmonary Vein Using Bare and Covered Stents: A Single-Case Report. Case Rep Cardiol 2022; 2022:9392811. [PMID: 36277269 PMCID: PMC9584733 DOI: 10.1155/2022/9392811] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2022] [Accepted: 09/09/2022] [Indexed: 11/05/2022] Open
Abstract
Inferior sinus venosus defect (SVD) is less common than a superior one. The lower edge of the defect straddles the orifice of the inferior vena cava, and this makes surgical repair via bicaval cannulation a technical challenge. The orifice of the unroofed right pulmonary vein is caused by the interatrial communication in sinus venosus defects which results in partial anomalous pulmonary vein drainage (PAPVD). Novel transcatheter closure of a superior SVD has recently been described; however, transcatheter closure of an inferior SVD has not yet been reported in the published literature. Here, we report the first successful transcatheter closure of an inferior SVD with bare and covered stents and the rerouting of a PAPVD into the left atrium to avoid occlusion of the hepatic veins. In this single-case report, we carefully describe the planning process, how the procedure was performed, and the steps taken to recapture and reposition a migrated stent. Careful patient selection and intensive assessment of pulmonary and hepatic vein anatomy before and during the procedure were necessary to achieve a successful outcome.
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Bernhard B, Illi J, Gloeckler M, Pilgrim T, Praz F, Windecker S, Haeberlin A, Gräni C. Imaging-Based, Patient-Specific Three-Dimensional Printing to Plan, Train, and Guide Cardiovascular Interventions: A Systematic Review and Meta-Analysis. Heart Lung Circ 2022; 31:1203-1218. [PMID: 35680498 DOI: 10.1016/j.hlc.2022.04.052] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2021] [Accepted: 04/14/2022] [Indexed: 01/07/2023]
Abstract
BACKGROUND To tailor cardiovascular interventions, the use of three-dimensional (3D), patient-specific phantoms (3DPSP) encompasses patient education, training, simulation, procedure planning, and outcome-prediction. AIM This systematic review and meta-analysis aims to investigate the current and future perspective of 3D printing for cardiovascular interventions. METHODS We systematically screened articles on Medline and EMBASE reporting the prospective use of 3DPSP in cardiovascular interventions by using combined search terms. Studies that compared intervention time depending on 3DPSP utilisation were included into a meta-analysis. RESULTS We identified 107 studies that prospectively investigated a total of 814 3DPSP in cardiovascular interventions. Most common settings were congenital heart disease (CHD) (38 articles, 6 comparative studies), left atrial appendage (LAA) occlusion (11 articles, 5 comparative, 1 randomised controlled trial [RCT]), and aortic disease (10 articles). All authors described 3DPSP as helpful in assessing complex anatomic conditions, whereas poor tissue mimicry and the non-consideration of physiological properties were cited as limitations. Compared to controls, meta-analysis of six studies showed a significant reduction of intervention time in LAA occlusion (n=3 studies), and surgery due to CHD (n=3) if 3DPSPs were used (Cohen's d=0.54; 95% confidence interval, 0.13 to 0.95; p=0.001), however heterogeneity across studies should be taken into account. CONCLUSIONS 3DPSP are helpful to plan, train, and guide interventions in patients with complex cardiovascular anatomy. Benefits for patients include reduced intervention time with the potential for lower radiation exposure and shorter mechanical ventilation times. More evidence and RCTs including clinical endpoints are needed to warrant adoption of 3DPSP into routine clinical practice.
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Affiliation(s)
- Benedikt Bernhard
- Department of Cardiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Joël Illi
- Department of Cardiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland; Swiss MedTech Center, Switzerland Innovation Park Biel/Bienne AG, Switzerland
| | - Martin Gloeckler
- Department of Cardiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Thomas Pilgrim
- Department of Cardiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Fabien Praz
- Department of Cardiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Stephan Windecker
- Department of Cardiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Andreas Haeberlin
- Department of Cardiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland; Translational Imaging Center, Sitem Center, University of Bern, Switzerland
| | - Christoph Gräni
- Department of Cardiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland; Translational Imaging Center, Sitem Center, University of Bern, Switzerland.
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Brida M, Chessa M, Celermajer D, Li W, Geva T, Khairy P, Griselli M, Baumgartner H, Gatzoulis MA. Atrial septal defect in adulthood: a new paradigm for congenital heart disease. Eur Heart J 2021; 43:2660-2671. [PMID: 34535989 DOI: 10.1093/eurheartj/ehab646] [Citation(s) in RCA: 47] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/15/2021] [Revised: 07/09/2021] [Accepted: 09/03/2021] [Indexed: 11/13/2022] Open
Abstract
Atrial septal defects (ASDs) represent the most common congenital heart defect diagnosed in adulthood. Although considered a simple defect, challenges in optimal diagnostic and treatment options still exist due to great heterogeneity in terms of anatomy and time-related complications primarily arrhythmias, thromboembolism, right heart failure and, in a subset of patients, pulmonary arterial hypertension (PAH). Atrial septal defects call for tertiary expertise where all options may be considered, namely catheter vs. surgical closure, consideration of pre-closure ablation for patients with atrial tachycardia and suitability for closure or/and targeted therapy for patients with PAH. This review serves to update the clinician on the latest evidence, the nuances of optimal diagnostics, treatment options, and long-term follow-up care for patients with an ASD.
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Affiliation(s)
- Margarita Brida
- Adult Congenital Heart Centre and National Centre for Pulmonary Hypertension, Royal Brompton & Harefield Hospitals, National Heart and Lung Institute, Imperial College, Sydney Street, London SW3 6NP, UK.,Division of Adult Congenital Heart Disease, Department of Cardiovascular Medicine, University Hospital Centre Zagreb, Kispaticeva ul. 12, Zagreb 10000, Croatia.,Department of Medical Rehabilitation, Medical Faculty, University of Rijeka, Ul. Braće Branchetta 20/1, Rijeka 51000, Croatia
| | - Massimo Chessa
- ACHD Unit - Pediatric and Adult Congenital Heart Centre, IRCCS-Policlinico San Donato, Piazza Edmondo Malan, 2, Milan 20097, Italy.,UniSR - Vita Salute San Raffaele University, Via Olgettina, 58, Milan 20132, Italy
| | - David Celermajer
- Heart Research Institute, University of Sydney, Camperdown, NSW 2050, Australia
| | - Wei Li
- Adult Congenital Heart Centre and National Centre for Pulmonary Hypertension, Royal Brompton & Harefield Hospitals, National Heart and Lung Institute, Imperial College, Sydney Street, London SW3 6NP, UK
| | - Tal Geva
- Department of Cardiology, Boston Children's Hospital, Harvard Medical School, 300 Longwood Ave, Boston, MA 02115, USA.,Department of Pediatrics, Boston Children's Hospital, Harvard Medical School, 300 Longwood Ave, Boston, MA 02115, USA
| | - Paul Khairy
- Department of Medicine, Montreal Heart Institute, Université de Montréal, 5000 Rue Bélanger, Montréal, QC H1T 1C8, Canada
| | - Massimo Griselli
- Division of Pediatric Cardiovascular Surgery, Masonic Children's Hospital, University of Minnesota, 2450 Riverside Ave, Minneapolis, MN 55454, USA
| | - Helmut Baumgartner
- Department of Cardiology III: Adult Congenital and Valvular Heart Disease, University Hospital Muenster, Albert-Schweitzer-Campus 1, Muenster 48149, Germany
| | - Michael A Gatzoulis
- Adult Congenital Heart Centre and National Centre for Pulmonary Hypertension, Royal Brompton & Harefield Hospitals, National Heart and Lung Institute, Imperial College, Sydney Street, London SW3 6NP, UK
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Wang H, Song H, Yang Y, Wu Z, Hu R, Chen J, Guo J, Wang Y, Jia D, Cao S, Zhou Q, Guo R. Hemodynamic testing using three-dimensional printing and computational fluid dynamics preoperatively may provide more information in mitral repair than traditional image dataset. ANNALS OF TRANSLATIONAL MEDICINE 2021; 9:632. [PMID: 33987330 PMCID: PMC8106081 DOI: 10.21037/atm-20-7960] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
Background Mitral valve repair (MVR) has been considered superior to mitral replacement for degenerative MV disease and even rheumatic diseases. However, the repair rate varies widely depending on the medical center and the surgeons’ experience. The aim of our study was to apply three-dimensional printing (3DP) and computational fluid dynamics (CFD) in surgical simulation to provide reference for surgical decision-making, especially for inexperienced surgeons. Methods Our study included retrospective and prospective cohorts. We first enrolled the retrospective cohort of 35 patients who were prepared to have MVR, aiming at exploring the feasibility of surgical simulation using 3DP and CFD. Three-dimensional transesophageal echocardiography (3D-TEE) and computed tomography angiography (CTA) were performed for all patients, and imaging data were fused to construct a 3D digital model. Next, the model was used to make the 3DP dynamic model and for CFD analysis. Mitral repair was simulated in both the 3DP dynamic model and CFD to predict surgical outcomes (grade of regurgitation and vena contracta width) and possible complications (systolic anterior motion, left ventricular outflow tract obstruction). Second, a prospective cohort of 20 patients was studied with 10 patients placed in a 3DP-guided group and 10 in an image-guided group. Rate of transformation to mitral replacement, surgery time, surgical outcomes, and surgical complications were compared between groups. Results Of the 35 patients retrospectively enrolled, 14 underwent MVR and 21 were transferred to mitral replacement. Surgical simulation for the 14 MVR patients showed high consistency with in vivo results. The result of surgical simulation for the 21 patients transferred to mitral replacement showed that 7 might have benefited from MVR. In the prospective cohort, the rate of transformation to mitral replacement and surgery time in the 3DP-guided group were significantly lower than those in the image-guided group. Conclusions 3DP and CFD models based on image data can be used for in vitro surgical simulation. These emerging technologies are now changing traditional models of diagnosis and treatment, and the role of imaging data will no longer be limited to diagnosis but will contribute more to assisting surgeons in choosing treatment strategies.
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Affiliation(s)
- Hao Wang
- Department of Ultrasound Imaging, Renmin Hospital of Wuhan University, Wuhan, China
| | - Hongning Song
- Department of Ultrasound Imaging, Renmin Hospital of Wuhan University, Wuhan, China
| | - Yuanting Yang
- Department of Ultrasound Imaging, Renmin Hospital of Wuhan University, Wuhan, China
| | - Zhiyong Wu
- Department of Cardiovascular Surgery, Renmin Hospital of Wuhan University, Wuhan, China
| | - Rui Hu
- Department of Cardiovascular Surgery, Renmin Hospital of Wuhan University, Wuhan, China
| | - Jinling Chen
- Department of Ultrasound Imaging, Renmin Hospital of Wuhan University, Wuhan, China
| | - Juan Guo
- Department of Ultrasound Imaging, Renmin Hospital of Wuhan University, Wuhan, China
| | - Yijia Wang
- Department of Ultrasound Imaging, Renmin Hospital of Wuhan University, Wuhan, China
| | - Dan Jia
- Department of Ultrasound Imaging, Renmin Hospital of Wuhan University, Wuhan, China
| | - Sheng Cao
- Department of Ultrasound Imaging, Renmin Hospital of Wuhan University, Wuhan, China
| | - Qing Zhou
- Department of Ultrasound Imaging, Renmin Hospital of Wuhan University, Wuhan, China
| | - Ruiqiang Guo
- Department of Ultrasound Imaging, Renmin Hospital of Wuhan University, Wuhan, China
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Segaran N, Saini G, Mayer JL, Naidu S, Patel I, Alzubaidi S, Oklu R. Application of 3D Printing in Preoperative Planning. J Clin Med 2021; 10:jcm10050917. [PMID: 33652844 PMCID: PMC7956651 DOI: 10.3390/jcm10050917] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2020] [Revised: 02/07/2021] [Accepted: 02/18/2021] [Indexed: 12/13/2022] Open
Abstract
Preoperative planning is critical for success in the surgical suite. Current techniques for surgical planning are limited; clinicians often rely on prior experience and medical imaging to guide the decision-making process. Furthermore, two-dimensional (2D) presentations of anatomical structures may not accurately portray their three-dimensional (3D) complexity, often leaving physicians ill-equipped for the procedure. Although 3D postprocessed images are an improvement on traditional 2D image sets, they are often inadequate for surgical simulation. Medical 3D printing is a rapidly expanding field and could provide an innovative solution to current constraints of preoperative planning. As 3D printing becomes more prevalent in medical settings, it is important that clinicians develop an understanding of the technologies, as well as its uses. Here, we review the fundamentals of 3D printing and key aspects of its workflow. The many applications of 3D printing for preoperative planning are discussed, along with their challenges.
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Affiliation(s)
- Nicole Segaran
- Minimally Invasive Therapeutics Laboratory, Department of Vascular and Interventional Radiology, Mayo Clinic, Phoenix, AZ 85054, USA; (N.S.); (G.S.)
| | - Gia Saini
- Minimally Invasive Therapeutics Laboratory, Department of Vascular and Interventional Radiology, Mayo Clinic, Phoenix, AZ 85054, USA; (N.S.); (G.S.)
| | - Joseph L. Mayer
- 3D Innovations Laboratory, Mayo Clinic Arizona, 5711 E. Mayo Blvd. Support Services Building, Phoenix, AZ 85054, USA;
| | - Sailen Naidu
- Department of Radiology, Mayo Clinic, Phoenix, AZ 85054, USA; (S.N.); (I.P.); (S.A.)
| | - Indravadan Patel
- Department of Radiology, Mayo Clinic, Phoenix, AZ 85054, USA; (S.N.); (I.P.); (S.A.)
| | - Sadeer Alzubaidi
- Department of Radiology, Mayo Clinic, Phoenix, AZ 85054, USA; (S.N.); (I.P.); (S.A.)
| | - Rahmi Oklu
- Minimally Invasive Therapeutics Laboratory, Department of Vascular and Interventional Radiology, Mayo Clinic, Phoenix, AZ 85054, USA; (N.S.); (G.S.)
- 3D Innovations Laboratory, Mayo Clinic Arizona, 5711 E. Mayo Blvd. Support Services Building, Phoenix, AZ 85054, USA;
- Department of Radiology, Mayo Clinic, Phoenix, AZ 85054, USA; (S.N.); (I.P.); (S.A.)
- Correspondence: ; Tel.: +1-480-342-5664
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Wang H, Song H, Yang Y, Cao Q, Hu Y, Chen J, Guo J, Wang Y, Jia D, Cao S, Zhou Q. Three-dimensional printing for cardiovascular diseases: from anatomical modeling to dynamic functionality. Biomed Eng Online 2020; 19:76. [PMID: 33028306 PMCID: PMC7542711 DOI: 10.1186/s12938-020-00822-y] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2020] [Accepted: 09/28/2020] [Indexed: 12/16/2022] Open
Abstract
Three-dimensional (3D) printing is widely used in medicine. Most research remains focused on forming rigid anatomical models, but moving from static models to dynamic functionality could greatly aid preoperative surgical planning. This work reviews literature on dynamic 3D heart models made of flexible materials for use with a mock circulatory system. Such models allow simulation of surgical procedures under mock physiological conditions, and are; therefore, potentially very useful to clinical practice. For example, anatomical models of mitral regurgitation could provide a better display of lesion area, while dynamic 3D models could further simulate in vitro hemodynamics. Dynamic 3D models could also be used in setting standards for certain parameters for function evaluation, such as flow reserve fraction in coronary heart disease. As a bridge between medical image and clinical aid, 3D printing is now gradually changing the traditional pattern of diagnosis and treatment.
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Affiliation(s)
- Hao Wang
- Department of Ultrasound Imaging, Renmin Hospital of Wuhan University, Wuhan, 430060, China
| | - Hongning Song
- Department of Ultrasound Imaging, Renmin Hospital of Wuhan University, Wuhan, 430060, China
| | - Yuanting Yang
- Department of Ultrasound Imaging, Renmin Hospital of Wuhan University, Wuhan, 430060, China
| | - Quan Cao
- Department of Ultrasound Imaging, Renmin Hospital of Wuhan University, Wuhan, 430060, China
| | - Yugang Hu
- Department of Ultrasound Imaging, Renmin Hospital of Wuhan University, Wuhan, 430060, China
| | - Jinling Chen
- Department of Ultrasound Imaging, Renmin Hospital of Wuhan University, Wuhan, 430060, China
| | - Juan Guo
- Department of Ultrasound Imaging, Renmin Hospital of Wuhan University, Wuhan, 430060, China
| | - Yijia Wang
- Department of Ultrasound Imaging, Renmin Hospital of Wuhan University, Wuhan, 430060, China
| | - Dan Jia
- Department of Ultrasound Imaging, Renmin Hospital of Wuhan University, Wuhan, 430060, China
| | - Sheng Cao
- Department of Ultrasound Imaging, Renmin Hospital of Wuhan University, Wuhan, 430060, China
| | - Qing Zhou
- Department of Ultrasound Imaging, Renmin Hospital of Wuhan University, Wuhan, 430060, China.
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