1
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Ryan JR, Ghosh R, Sturgeon G, Ali A, Arribas E, Braden E, Chadalavada S, Chepelev L, Decker S, Huang YH, Ionita C, Lee J, Liacouras P, Parthasarathy J, Ravi P, Sandelier M, Sommer K, Wake N, Rybicki F, Ballard D. Clinical situations for which 3D printing is considered an appropriate representation or extension of data contained in a medical imaging examination: pediatric congenital heart disease conditions. 3D Print Med 2024; 10:3. [PMID: 38282094 PMCID: PMC10823658 DOI: 10.1186/s41205-023-00199-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2023] [Accepted: 12/11/2023] [Indexed: 01/30/2024] Open
Abstract
BACKGROUND The use of medical 3D printing (focusing on anatomical modeling) has continued to grow since the Radiological Society of North America's (RSNA) 3D Printing Special Interest Group (3DPSIG) released its initial guideline and appropriateness rating document in 2018. The 3DPSIG formed a focused writing group to provide updated appropriateness ratings for 3D printing anatomical models across a variety of congenital heart disease. Evidence-based- (where available) and expert-consensus-driven appropriateness ratings are provided for twenty-eight congenital heart lesion categories. METHODS A structured literature search was conducted to identify all relevant articles using 3D printing technology associated with pediatric congenital heart disease indications. Each study was vetted by the authors and strength of evidence was assessed according to published appropriateness ratings. RESULTS Evidence-based recommendations for when 3D printing is appropriate are provided for pediatric congenital heart lesions. Recommendations are provided in accordance with strength of evidence of publications corresponding to each cardiac clinical scenario combined with expert opinion from members of the 3DPSIG. CONCLUSIONS This consensus appropriateness ratings document, created by the members of the RSNA 3DPSIG, provides a reference for clinical standards of 3D printing for pediatric congenital heart disease clinical scenarios.
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Affiliation(s)
- Justin R Ryan
- Webster Foundation 3D Innovations Lab, Rady Children's Hospital-San Diego, San Diego, CA, USA.
- Department of Neurological Surgery, UC San Diego Health, La Jolla, CA, USA.
| | - Reena Ghosh
- Department of Cardiac Surgery, Boston Children's Hospital, Boston, MA, USA
| | - Greg Sturgeon
- Duke Children's Pediatric & Congenital Heart Center, Durham, NC, USA
| | - Arafat Ali
- Department of Radiology, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Elsa Arribas
- Department of Breast Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Eric Braden
- Arkansas Children's Hospital, Little Rock, AR, USA
| | - Seetharam Chadalavada
- Department of Radiology, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Leonid Chepelev
- Joint Department of Medical Imaging, University of Toronto, Toronto, ON, Canada
| | - Summer Decker
- Department of Radiology, University of South Florida Morsani College of Medicine, Tampa, USA
- Tampa General Hospital, Tampa, FL, USA
| | - Yu-Hui Huang
- Department of Radiology, University of Minnesota, Minneapolis, MN, USA
| | - Ciprian Ionita
- Department of Biomedical Engineering, University at Buffalo, Buffalo, NY, USA
| | - Joonhyuk Lee
- Department of Radiology, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Peter Liacouras
- Department of Radiology, Walter Reed National Military Medical Center, Bethesda, MD, USA
| | | | - Prashanth Ravi
- Department of Radiology, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Michael Sandelier
- Department of Radiology - Advanced Reality Lab, James A. Haley VA Hospital, Tampa, FL, USA
| | | | - Nicole Wake
- Research and Scientific Affairs, GE HealthCare, New York, NY, USA
- Center for Advanced Imaging Innovation and Research (CAI2R) and Bernard and Irene, Schwartz Center for Biomedical Imaging, Department of Radiology, NYU Langone Health, NYU Grossman School of Medicine, New York, NY, USA
| | - Frank Rybicki
- Department of Radiology, University of Arizona, Phoenix, AZ, USA
| | - David Ballard
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, Saint Louis, MO, USA
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Jacob J, Stunden C, Zakani S. Exploring the value of three-dimensional printing and virtualization in paediatric healthcare: A multi-case quality improvement study. Digit Health 2023; 9:20552076231159988. [PMID: 36865771 PMCID: PMC9972041 DOI: 10.1177/20552076231159988] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2022] [Accepted: 02/09/2023] [Indexed: 03/02/2023] Open
Abstract
Background Three-dimensional printing is being utilized in clinical medicine to support activities including surgical planning, education, and medical device fabrication. To better understand the impacts of this technology, a survey was implemented with radiologists, specialist physicians, and surgeons at a tertiary care hospital in Canada, examining multidimensional value and considerations for uptake. Objectives To examine how three-dimensional printing can be integrated into the paediatric context and highlight areas of impact and value to the healthcare system using Kirkpatrick's Model. Secondarily, to explore the perspective of clinicians utilizing three-dimensional models and how they make decisions about whether or not to use the technology in patient care. Methods A post-case survey. Descriptive statistics are provided for Likert-style questions, and a thematic analysis was conducted to identify common patterns in open-ended responses. Results In total, 37 respondents were surveyed across 19 clinical cases, providing their perspectives on model reaction, learning, behaviour, and results. We found surgeons and specialists to consider the models more beneficial than radiologists. Results further showed that the models were more helpful when used to assess the likelihood of success or failure of clinical management strategies, and for intraoperative orientation. We demonstrate that three-dimensional printed models could improve perioperative metrics, including a reduction in operating room time, but with a reciprocal effect on pre-procedural planning time. Clinicians who shared the models with patients and families thought it increased understanding of the disease and surgical procedure, and had no effect on their consultation time. Conclusions Three-dimensional printing and virtualization were used in preoperative planning and for communication among the clinical care team, trainees, patients, and families. Three-dimensional models provide multidimensional value to clinical teams, patients, and the health system. Further investigation is warranted to assess value in other clinical areas, across disciplines, and from a health economics and outcomes perspective.
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Affiliation(s)
- John Jacob
- Faculty of Medicine, Department of Paediatrics, University of British
Columbia, Vancouver, BC, Canada
- Digital Lab, BC Children's Hospital, Vancouver, BC, Canada
- Bayes Business School, City, University of London, London, UK
- John Jacob, Faculty of Medicine, Department
of Paediatrics, University of British Columbia, 2D19 – 4480 Oak Street,
Vancouver, BC V6H 3V4, Canada.
| | - Chelsea Stunden
- Faculty of Medicine, Department of Paediatrics, University of British
Columbia, Vancouver, BC, Canada
- Digital Lab, BC Children's Hospital, Vancouver, BC, Canada
| | - Sima Zakani
- Faculty of Medicine, Department of Paediatrics, University of British
Columbia, Vancouver, BC, Canada
- Digital Lab, BC Children's Hospital, Vancouver, BC, Canada
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3
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Lau I, Gupta A, Ihdayhid A, Sun Z. Clinical Applications of Mixed Reality and 3D Printing in Congenital Heart Disease. Biomolecules 2022; 12:1548. [PMID: 36358899 PMCID: PMC9687840 DOI: 10.3390/biom12111548] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2022] [Revised: 10/19/2022] [Accepted: 10/22/2022] [Indexed: 04/05/2024] Open
Abstract
Understanding the anatomical features and generation of realistic three-dimensional (3D) visualization of congenital heart disease (CHD) is always challenging due to the complexity and wide spectrum of CHD. Emerging technologies, including 3D printing and mixed reality (MR), have the potential to overcome these limitations based on 2D and 3D reconstructions of the standard DICOM (Digital Imaging and Communications in Medicine) images. However, very little research has been conducted with regard to the clinical value of these two novel technologies in CHD. This study aims to investigate the usefulness and clinical value of MR and 3D printing in assisting diagnosis, medical education, pre-operative planning, and intraoperative guidance of CHD surgeries through evaluations from a group of cardiac specialists and physicians. Two cardiac computed tomography angiography scans that demonstrate CHD of different complexities (atrial septal defect and double outlet right ventricle) were selected and converted into 3D-printed heart models (3DPHM) and MR models. Thirty-four cardiac specialists and physicians were recruited. The results showed that the MR models were ranked as the best modality amongst the three, and were significantly better than DICOM images in demonstrating complex CHD lesions (mean difference (MD) = 0.76, p = 0.01), in enhancing depth perception (MD = 1.09, p = 0.00), in portraying spatial relationship between cardiac structures (MD = 1.15, p = 0.00), as a learning tool of the pathology (MD = 0.91, p = 0.00), and in facilitating pre-operative planning (MD = 0.87, p = 0.02). The 3DPHM were ranked as the best modality and significantly better than DICOM images in facilitating communication with patients (MD = 0.99, p = 0.00). In conclusion, both MR models and 3DPHM have their own strengths in different aspects, and they are superior to standard DICOM images in the visualization and management of CHD.
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Affiliation(s)
- Ivan Lau
- Discipline of Medical Radiation Science, Curtin Medical School, Curtin University, Perth, WA 6845, Australia
| | - Ashu Gupta
- Department of Medical Imaging, Fiona Stanley Hospital, Perth, WA 6150, Australia
| | - Abdul Ihdayhid
- Curtin Medical School, Faculty of Health Sciences, Curtin University, Perth, WA 6845, Australia
- Department of Cardiology, Fiona Stanley Hospital, Perth, WA 6150, Australia
| | - Zhonghua Sun
- Discipline of Medical Radiation Science, Curtin Medical School, Curtin University, Perth, WA 6845, Australia
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Valverde I, Gomez G, Byrne N, Anwar S, Silva Cerpa MA, Martin Talavera M, Pushparajah K, Velasco Forte MN. Criss-cross heart three-dimensional printed models in medical education: A multicenter study on their value as a supporting tool to conventional imaging. ANATOMICAL SCIENCES EDUCATION 2022; 15:719-730. [PMID: 34008341 DOI: 10.1002/ase.2105] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/24/2020] [Revised: 04/30/2021] [Accepted: 05/12/2021] [Indexed: 06/12/2023]
Abstract
The utility of three-dimensional (3D) printed models for medical education in complex congenital heart disease (CHD) is sparse and limited. The purpose of this study was to evaluate the utility of 3D printed models for medical education in criss-cross hearts covering a wide range of participants with different levels of knowledge and experience, from medical students, clinical fellows up to senior medical personnel. Study participants were enrolled from four dedicated imaging workshops developed between 2016 and 2019. The study design was a non-randomized cross-over study to evaluate 127 participants' level of understanding of the criss-cross heart anatomy. This was evaluated using the scores obtained following teaching with conventional images (echocardiography and magnetic resonance imaging) versus a 3D printed model learning approach. A significant improvement in anatomical knowledge of criss-cross heart anatomy was observed when comparing conventional imaging test scores to 3D printed model tests [76.9% (61.5%-87.8%) vs. 84.6% (76.9%-96.2%), P < 0.001]. The increase in the questionnaire marks was statistically significant across all academic groups (consultants in pediatric cardiology, fellows in pediatric cardiology, and medical students). Ninety-four percent (120) and 95.2% (121) of the participants agreed or strongly agreed, respectively, that 3D models helped them to better understand the medical images. Participants scored their overall satisfaction with the 3D printed models as 9.1 out of 10 points. In complex CHD such as criss-cross hearts, 3D printed replicas improve the understanding of cardiovascular anatomy. They enhanced the teaching experience especially when approaching medical students.
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Affiliation(s)
- Israel Valverde
- Pediatric Cardiology Unit, Hospital Virgen del Rocio, Seville, Spain
- Cardiovascular Pathology Unit and Fabrication Laboratory, Institute of Biomedicine of Seville, Seville, Spain
- School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
- Department of Congenital Heart Disease, Evelina London Children's Hospital, Guy's and St Thomas' National Health Service Foundation Trust, London, UK
| | - Gorka Gomez
- Cardiovascular Pathology Unit and Fabrication Laboratory, Institute of Biomedicine of Seville, Seville, Spain
| | - Nick Byrne
- School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
| | - Shafkat Anwar
- Division of Cardiology, Department of Pediatrics, University of California San Francisco School of Medicine, San Francisco, California, USA
| | | | | | - Kuberan Pushparajah
- School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
- Department of Congenital Heart Disease, Evelina London Children's Hospital, Guy's and St Thomas' National Health Service Foundation Trust, London, UK
| | - Maria Nieves Velasco Forte
- Cardiovascular Pathology Unit and Fabrication Laboratory, Institute of Biomedicine of Seville, Seville, Spain
- School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
- Department of Pediatric Cardiology, University of Bristol, Bristol Royal Hospital for Children, Bristol, UK
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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: 3.0] [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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6
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Lau I, Gupta A, Sun Z. Clinical Value of Virtual Reality versus 3D Printing in Congenital Heart Disease. Biomolecules 2021; 11:884. [PMID: 34198642 PMCID: PMC8232263 DOI: 10.3390/biom11060884] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2021] [Revised: 06/10/2021] [Accepted: 06/12/2021] [Indexed: 11/22/2022] Open
Abstract
Both three-dimensional (3D) printing and virtual reality (VR) are reported as being superior to the current visualization techniques in conveying more comprehensive visualization of congenital heart disease (CHD). However, little is known in terms of their clinical value in diagnostic assessment, medical education, and preoperative planning of CHD. This cross-sectional study aims to address these by involving 35 medical practitioners to subjectively evaluate VR visualization of four selected CHD cases in comparison with the corresponding 3D printed heart models (3DPHM). Six questionnaires were excluded due to incomplete sections, hence a total of 29 records were included for the analysis. The results showed both VR and 3D printed heart models were comparable in terms of the degree of realism. VR was perceived as more useful in medical education and preoperative planning compared to 3D printed heart models, although there was no significant difference in the ratings (p = 0.54 and 0.35, respectively). Twenty-one participants (72%) indicated both the VR and 3DPHM provided additional benefits compared to the conventional medical imaging visualizations. This study concludes the similar clinical value of both VR and 3DPHM in CHD, although further research is needed to involve more cardiac specialists for their views on the usefulness of these tools.
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Affiliation(s)
- Ivan Lau
- Discipline of Medical Radiation Science, Curtin Medical School, Curtin University, Perth, WA 6102, Australia;
| | - Ashu Gupta
- Department of Medical Imaging, Fiona Stanley Hospital, Perth, WA 6150, Australia;
| | - Zhonghua Sun
- Discipline of Medical Radiation Science, Curtin Medical School, Curtin University, Perth, WA 6102, Australia;
- Curtin Health Innovation Research Institute (CHIRI), Faculty of Health Sciences, Curtin University, Perth, WA 6102, Australia
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7
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Tack P, Willems R, Annemans L. An early health technology assessment of 3D anatomic models in pediatric congenital heart surgery: potential cost-effectiveness and decision uncertainty. Expert Rev Pharmacoecon Outcomes Res 2021; 21:1107-1115. [PMID: 33475446 DOI: 10.1080/14737167.2021.1879645] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Abstract
Background: Three-dimensional anatomic models have been used for surgical planning and simulation in pediatric congenital heart surgery. This research is the first to evaluate the potential cost-effectiveness of 3D anatomic models with the intent to guide surgeons and decision makers on its use.Method: A decision tree and subsequent Markov model with a 15-year time horizon was constructed and analyzed for nine cardiovascular surgeries. Epidemiological, clinical, and economic data were derived from databases. Literature and experts were consulted to close data gaps. Scenario, one-way, threshold, and probabilistic sensitivity analysis captured methodological and parameter uncertainty.Results: Incremental costs of using anatomical models ranged from -366€ (95% credibility interval: -2595€; 1049€) in the Norwood operation to 1485€ (95% CI: 1206€; 1792€) in atrial septal defect repair. Incremental health-benefits ranged from negligible in atrial septal defect repair to 0.54 Quality Adjusted Life Years (95% CI: 0.06; 1.43) in truncus arteriosus repair. Variability in the results was mainly caused by a temporary postoperative quality-adjusted life years gain.Conclusion: For complex operations, the implementation of anatomic models is likely to be cost-effective on a 15 year time horizon. For the right indication, these models thus provide a clinical advantage at an acceptable cost.
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Affiliation(s)
- Philip Tack
- Department of Innovation, Entrepreneurship and Service Management, Ghent University, Ghent, Belgium
| | - Ruben Willems
- Department of Public Health, Ghent University, Ghent, Belgium
| | - Lieven Annemans
- Department of Public Health, Ghent University, Ghent, Belgium
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8
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Lee S, Squelch A, Sun Z. Quantitative Assessment of 3D Printed Model Accuracy in Delineating Congenital Heart Disease. Biomolecules 2021; 11:biom11020270. [PMID: 33673159 PMCID: PMC7917618 DOI: 10.3390/biom11020270] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2020] [Revised: 02/03/2021] [Accepted: 02/09/2021] [Indexed: 12/29/2022] Open
Abstract
Background: Three-dimensional (3D) printing is promising in medical applications, especially presurgical planning and the simulation of congenital heart disease (CHD). Thus, it is clinically important to generate highly accurate 3D-printed models in replicating cardiac anatomy and defects. The present study aimed to investigate the accuracy of the 3D-printed CHD model by comparing them with computed tomography (CT) images and standard tessellation language (STL) files. Methods: Three models were printed, comprising different CHD pathologies, including the tetralogy of Fallot (ToF), ventricular septal defect (VSD) and double-outlet right-ventricle (DORV). The ten anatomical locations were measured in each comparison. Pearson’s correlation coefficient, Bland–Altman analysis and intra-class correlation coefficient (ICC) determined the model accuracy. Results: All measurements with three printed models showed a strong correlation (r = 0.99) and excellent reliability (ICC = 0.97) when compared to original CT images, CT images of the 3D-printed models, STL files and 3D-printed CHD models. Conclusion: This study demonstrated the high accuracy of 3D-printed heart models with excellent correlation and reliability when compared to multiple source data. Further investigation into 3D printing in CHD should focus on the clinical value and the benefits to patients.
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Affiliation(s)
- Shenyuan Lee
- Discipline of Medical Radiation Science, Curtin Medical School, Curtin University, GPO Box, U1987, Perth, WA 6845, Australia;
| | - Andrew Squelch
- Discipline of Exploration Geophysics, Western Australian School of Mines, Minerals, Energy and Chemical Engineering, Curtin University, Perth, WA 6845, Australia;
| | - Zhonghua Sun
- Discipline of Medical Radiation Science, Curtin Medical School, Curtin University, GPO Box, U1987, Perth, WA 6845, Australia;
- Correspondence: ; Tel.: +61-8-9266-7509; Fax: +61-8-9266-2377
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9
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Gehrsitz P, Rompel O, Schöber M, Cesnjevar R, Purbojo A, Uder M, Dittrich S, Alkassar M. Cinematic Rendering in Mixed-Reality Holograms: A New 3D Preoperative Planning Tool in Pediatric Heart Surgery. Front Cardiovasc Med 2021; 8:633611. [PMID: 33634174 PMCID: PMC7900175 DOI: 10.3389/fcvm.2021.633611] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2020] [Accepted: 01/13/2021] [Indexed: 11/13/2022] Open
Abstract
Cinematic rendering (CR) is based on a new algorithm that creates a photo-realistic three-dimensional (3D) picture from cross-sectional images. Previous studies have shown its positive impact on preoperative planning. To date, CR presentation has only been possible on 2D screens which limited natural 3D perception. To depict CR-hearts spatially, we used mixed-reality technology and mapped corresponding hearts as holograms in 3D space. Our aim was to assess the benefits of CR-holograms in the preoperative planning of cardiac surgery. Including 3D prints allowed a direct comparison of two spatially resolved display methods. Twenty-six patients were recruited between February and September 2019. CT or MRI was used to visualize the patient's heart preoperatively. The surgeon was shown the anatomy in cross-sections on a 2D screen, followed by spatial representations as a 3D print and as a high-resolution hologram. The holographic representation was carried out using mixed-reality glasses (HoloLens®). To create the 3D prints, corresponding structures were segmented to create STL files which were printed out of resin. In 22 questions, divided in 5 categories (3D-imaging effect, representation of pathology, structure resolution, cost/benefit ratio, influence on surgery), the surgeons compared each spatial representation with the 2D method, using a five-level Likert scale. The surgical preparation time was assessed by comparing retrospectively matched patient pairs, using a paired t-test. CR-holograms surpassed 2D-monitor imaging in all categories. CR-holograms were superior to 3D prints in all categories (mean Likert scale 4.4 ± 1.0 vs. 3.7 ± 1.3, P < 0.05). Compared to 3D prints it especially improved the depth perception (4.7 ± 0.7 vs. 3.7 ± 1.2) and the representation of the pathology (4.4 ± 0.9 vs. 3.6 ± 1.2). 3D imaging reduced the intraoperative preparation time (n = 24, 59 ± 23 min vs. 73 ± 43 min, P < 0.05). In conclusion, the combination of an extremely photo-realistic presentation via cinematic rendering and the spatial presentation in 3D space via mixed-reality technology allows a previously unattained level of comprehension of anatomy and pathology in preoperative planning.
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Affiliation(s)
- Pia Gehrsitz
- Department of Pediatric Cardiology, University Hospital Erlangen, Friedrich-Alexander University Erlangen-Nürnberg (FAU), Erlangen, Germany
| | - Oliver Rompel
- Institute of Radiology, University Hospital Erlangen, Friedrich-Alexander University Erlangen-Nürnberg (FAU), Erlangen, Germany
| | - Martin Schöber
- Department of Pediatric Cardiology, University Hospital Erlangen, Friedrich-Alexander University Erlangen-Nürnberg (FAU), Erlangen, Germany
| | - Robert Cesnjevar
- Department of Pediatric Cardiac Surgery, University Hospital Erlangen, Friedrich-Alexander University Erlangen-Nürnberg (FAU), Erlangen, Germany
| | - Ariawan Purbojo
- Department of Pediatric Cardiac Surgery, University Hospital Erlangen, Friedrich-Alexander University Erlangen-Nürnberg (FAU), Erlangen, Germany
| | - Michael Uder
- Institute of Radiology, University Hospital Erlangen, Friedrich-Alexander University Erlangen-Nürnberg (FAU), Erlangen, Germany
| | - Sven Dittrich
- Department of Pediatric Cardiology, University Hospital Erlangen, Friedrich-Alexander University Erlangen-Nürnberg (FAU), Erlangen, Germany
| | - Muhannad Alkassar
- Department of Pediatric Cardiology, University Hospital Erlangen, Friedrich-Alexander University Erlangen-Nürnberg (FAU), Erlangen, Germany
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10
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Ishii T, Fukumitsu K, Ogawa E, Okamoto T, Uemoto S. Living donor liver transplantation in situs inversus totalis with a patient-specific three-dimensional printed liver model. Pediatr Transplant 2020; 24:e13675. [PMID: 32068328 DOI: 10.1111/petr.13675] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/12/2019] [Revised: 12/31/2019] [Accepted: 01/26/2020] [Indexed: 01/03/2023]
Abstract
We utilized patient-specific 3D liver models based on preoperative computed tomography images as intraoperative navigation and describe our experience. A 1-year and 10-month-old girl with situs inversus totalis underwent living donor liver transplantation for biliary atresia. Information on the hepatic artery, portal vein, inferior vena cava, and liver parenchyma was extracted and segmented from computed tomography images using liver analysis software. Laser lithography produced each 3D part of the liver from these data. The 3D models of each part of the liver were molded from polyurethane resin using different colors for each part and combined together, resulting in a patient-specific liver model. The industrial computed tomography scan of the patient-specific 3D liver model revealed that the gaps between the liver model and the original data were <0.4 mm in the 90% area, <0.8 mm in the 98% area, and 1.53 mm at the maximum. The 3D liver model was brought into the operative field and used as intraoperative navigation for total liver resection. The procedure was finished successfully without any major intraoperative complications. In conclusion, the 3D model facilitates the identification of vessels during operations; it is possible to promptly share patients' anatomy with the operative team.
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Affiliation(s)
- Takamichi Ishii
- Division of Hepato-Biliary-Pancreatic Surgery and Transplantation, Department of Surgery, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Ken Fukumitsu
- Division of Hepato-Biliary-Pancreatic Surgery and Transplantation, Department of Surgery, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Eri Ogawa
- Division of Pediatric Surgery, Department of Surgery, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Tatsuya Okamoto
- Division of Pediatric Surgery, Department of Surgery, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Shinji Uemoto
- Division of Hepato-Biliary-Pancreatic Surgery and Transplantation, Department of Surgery, Graduate School of Medicine, Kyoto University, Kyoto, Japan.,Division of Pediatric Surgery, Department of Surgery, Graduate School of Medicine, Kyoto University, Kyoto, Japan
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11
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A review of fabrication polymer scaffolds for biomedical applications using additive manufacturing techniques. Biocybern Biomed Eng 2020. [DOI: 10.1016/j.bbe.2020.01.015] [Citation(s) in RCA: 80] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2023]
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12
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Hermsen JL, Roldan-Alzate A, Anagnostopoulos PV. Three-dimensional printing in congenital heart disease. J Thorac Dis 2020; 12:1194-1203. [PMID: 32274200 PMCID: PMC7138972 DOI: 10.21037/jtd.2019.10.38] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
Three-dimensional printing (3Dp) has a broad array of medical applications and has been applied extensively in congenital heart disease given the variety and complexity of lesions encountered. 3Dps are unique when compared to other imaging modalities in that they are theoretically equally interpretable by radiologists, cardiologists and surgeons. The literature regarding 3Dp in congenital heart disease is recent and burgeoning. This review, categorized by application, should provide the reader with a comprehensive, albeit not complete, overview of 3Dp in congenital heart disease during the last decade.
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Affiliation(s)
- Joshua L Hermsen
- University of Wisconsin-Madison and American Family Children's Hospital, Madison, WI, USA
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13
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Yan C, Jia HC, Xu JX, Xu T, Chen K, Sun JC, Shi JG. Computer-Based 3D Simulations to Formulate Preoperative Planning of Bridge Crane Technique for Thoracic Ossification of the Ligamentum Flavum. Med Sci Monit 2019; 25:9666-9678. [PMID: 31847005 PMCID: PMC6929566 DOI: 10.12659/msm.918387] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
Background The bridge crane technique is a novel surgical technique for the treatment of thoracic ossification of the ligamentum flavum (TOLF), but its preoperative planning has not been studied well, which limits the safety and efficacy of surgery to some extent. The purpose of this study was to investigate the method of application and effect of computer-aided preoperative planning (CAPP) on the bridge crane technique for TOLF. Material/Methods This retrospective multi-center included 40 patients with TOLF who underwent the bridge crane technique from 2016 to 2018. According to the utilization of CAPP, patients were divided into Group A (with CAPP, n=21) and Group B (without CAPP, n=19). Comparisons of clinical and radiological outcomes were carried out between the 2 groups. Results The patients in Group A had higher post-mJOA scores and IR of neurological function than those in Group B (p<0.05). Group A had shorter surgery time, fewer fluoroscopic images, and lower incidence of complications than Group B. In Group A, there was a high consistency of all the anatomical parameters between preoperative simulation and postoperative CT (p>0.05). In Group B, there were significant differences in 3 anatomical parameters between postoperative simulation and postoperative CT (p<0.05). In Group B, the patients with no complications had higher post-SVOR and lower SVRR and height of posterior suspension of LOC in postoperative CT than those in postoperative simulation (p<0.05). Conclusions CAPP can enable surgeons to control the decompression effect accurately and reduce the risk of related complications, which improves the safety and efficacy of surgery.
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Affiliation(s)
- Chen Yan
- Second Department of Spine Surgery, Changzheng Hospital, Navy Medical University, Shanghai, China (mainland).,Undergraduate Incubation Center, Navy Medical University, Shanghai, China (mainland)
| | - Huai-Cheng Jia
- Second Department of Spine Surgery, Changzheng Hospital, Navy Medical University, Shanghai, China (mainland).,Undergraduate Incubation Center, Navy Medical University, Shanghai, China (mainland)
| | - Jia-Xi Xu
- Second Department of Spine Surgery, Changzheng Hospital, Navy Medical University, Shanghai, China (mainland).,Undergraduate Incubation Center, Navy Medical University, Shanghai, China (mainland)
| | - Tao Xu
- Department of Orthopedic Surgery, No. 906 Hospital of the People's Liberation Army (PLA), Ningbo, Zhejiang, China (mainland)
| | - Kun Chen
- Department of Orthopedics, Guangzhou General Hospital of Guangzhou Military Command, Guangzhou, Guangdong, China (mainland)
| | - Jing-Chuan Sun
- Second Department of Spine Surgery, Changzheng Hospital, Navy Medical University, Shanghai, China (mainland)
| | - Jian-Gang Shi
- Second Department of Spine Surgery, Changzheng Hospital, Navy Medical University, Shanghai, China (mainland)
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14
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XU J, SHU Q. [Application of 3D printing techniques in treatment of congenital heart disease]. Zhejiang Da Xue Xue Bao Yi Xue Ban 2019; 48:573-579. [PMID: 31901034 PMCID: PMC8800709 DOI: 10.3785/j.issn.1008-9292.2019.10.17] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2019] [Accepted: 10/07/2019] [Indexed: 01/24/2023]
Abstract
Congenital heart disease (CHD) is the most common birth defect at present. In recent years, the application of 3D printing in the diagnosis and treatment of CHD has been widely recognized, which presents CHD lesions in 3D solid model and provides a better understanding of the anatomy of CHD. In the future, 3D printing technology would improve the surgical proficiency, shorten the operation time, reduce the occurrence of perioperative complications, and create more personalized cardiovascular implants, therefore promote the precision of diagnosis and treatment for congenital heart disease. This article reviews the application of 3D printing technology in preoperative planning, intraoperative navigation and personalized implants of CHD, in surgical training and medical education, as well as in promoting doctor-patient communication and better understanding their condition for patients.
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Affiliation(s)
| | - Qiang SHU
- 舒强(1965-), 男, 博士, 教授, 博士生导师, 主要从事出生缺陷防治和小儿心胸外科研究; E-mail:
;
https://orcid.org/0000-0002-4106-6255
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15
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Garner KH, Singla DK. 3D modeling: a future of cardiovascular medicine. Can J Physiol Pharmacol 2019; 97:277-286. [DOI: 10.1139/cjpp-2018-0472] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
Cardiovascular disease resulting from atypical cardiac structures continues to be a leading health concern despite advancements in diagnostic imaging and surgical techniques. However, the ability to visualize spatial relationships using current technologies remains a challenge. Therefore, 3D modeling has gained significant interest to understand complex and atypical cardiovascular disorders. Moreover, 3D modeling can be personalized and patient-specific. 3D models have been demonstrated to aid surgical planning and simulation, enhance communication among surgeons and patients, optimize medical device design, and can be used as a potential teaching tool in medical schools. In this review, we discuss the key components needed to generate cardiac 3D models. We highlight prevalent structural conditions that have utilized 3D modeling in pre-operative planning. Furthermore, we discuss the current limitations of routine use of 3D models in the clinic as well as future directions for utilization of this technology in the cardiovascular field.
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Affiliation(s)
- Kaley H. Garner
- Division of Metabolic and Cardiovascular Sciences, Burnett School of Biomedical Sciences, College of Medicine, University of Central Florida, Orlando, FL 32816, USA
- Division of Metabolic and Cardiovascular Sciences, Burnett School of Biomedical Sciences, College of Medicine, University of Central Florida, Orlando, FL 32816, USA
| | - Dinender K. Singla
- Division of Metabolic and Cardiovascular Sciences, Burnett School of Biomedical Sciences, College of Medicine, University of Central Florida, Orlando, FL 32816, USA
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16
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Lee M, Moharem-Elgamal S, Beckingham R, Hamilton M, Manghat N, Milano EG, Bucciarelli-Ducci C, Caputo M, Biglino G. Evaluating 3D-printed models of coronary anomalies: a survey among clinicians and researchers at a university hospital in the UK. BMJ Open 2019; 9:e025227. [PMID: 30852545 PMCID: PMC6430025 DOI: 10.1136/bmjopen-2018-025227] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/06/2018] [Revised: 01/09/2019] [Accepted: 01/11/2019] [Indexed: 11/24/2022] Open
Abstract
OBJECTIVE To evaluate the feasibility of three-dimensional (3D) printing models of coronary artery anomalies based on cardiac CT data and explore their potential for clinical applications. DESIGN Cardiac CT datasets of patients with various coronary artery anomalies (n=8) were retrospectively reviewed and processed, reconstructing detailed 3D models to be printed in-house with a desktop 3D printer (Form 2, Formlabs) using white resin. SETTING A University Hospital (division of cardiology) in the UK. PARTICIPANTS The CT scans, first and then 3D-printed models were presented to groups of clinicians (n=8) and cardiovascular researchers (n=9). INTERVENTION Participants were asked to assess different features of the 3D models and to rate the models' overall potential usefulness. OUTCOME MEASURES Models were rated according to clarity of anatomical detail, insight into the coronary abnormality, overall perceived usefulness and comparison to CT scans. Assessment of model characteristics used Likert-type questions (5-point scale from 'strongly disagree' to 'strongly agree') or a 10-point rating (from 0, lowest, to 10, highest). The questionnaire included a feedback form summarising overall usefulness. Participants' imaging experience (in a number of years) was also recorded. RESULTS All models were reconstructed and printed successfully, with accurate details showing coronary anatomy (eg, anomalous coronary artery, coronary roofing or coronary aneurysm in a patient with Kawasaki syndrome). All clinicians and researchers provided feedback, with both groups finding the models helpful in displaying coronary artery anatomy and abnormalities, and complementary to viewing 3D CT scans. The clinicians' group, who had substantially more imaging expertise, provided more enthusiastic ratings in terms of models' clarity, usefulness and future use on average. CONCLUSIONS 3D-printed heart models can be feasibly used to recreate coronary artery anatomy and enhance understanding of coronary abnormalities. Future studies can evaluate their cost-effectiveness, as well as potentially explore other printing techniques and materials.
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Affiliation(s)
- Matthew Lee
- Bristol Medical School, University of Bristol, Bristol, UK
| | - Sarah Moharem-Elgamal
- National Heart Institute, Giza, Egypt
- University Hospitals Bristol, NHS Foundation Trust, Bristol, UK
| | | | - Mark Hamilton
- University Hospitals Bristol, NHS Foundation Trust, Bristol, UK
| | - Nathan Manghat
- University Hospitals Bristol, NHS Foundation Trust, Bristol, UK
| | - Elena Giulia Milano
- Division of Cardiology, Department of Medicine, University of Verona, Verona, Italy
- Cardiorespiratory Division, Great Ormond Street Hospital for Children, NHS Foundation Trust, London, UK
| | - Chiara Bucciarelli-Ducci
- Bristol Medical School, University of Bristol, Bristol, UK
- University Hospitals Bristol, NHS Foundation Trust, Bristol, UK
| | - Massimo Caputo
- Bristol Medical School, University of Bristol, Bristol, UK
- University Hospitals Bristol, NHS Foundation Trust, Bristol, UK
| | - Giovanni Biglino
- Bristol Medical School, University of Bristol, Bristol, UK
- University Hospitals Bristol, NHS Foundation Trust, Bristol, UK
- Cardiorespiratory Division, Great Ormond Street Hospital for Children, NHS Foundation Trust, London, UK
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17
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Batteux C, Haidar MA, Bonnet D. 3D-Printed Models for Surgical Planning in Complex Congenital Heart Diseases: A Systematic Review. Front Pediatr 2019; 7:23. [PMID: 30805324 PMCID: PMC6378296 DOI: 10.3389/fped.2019.00023] [Citation(s) in RCA: 41] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/05/2018] [Accepted: 01/21/2019] [Indexed: 01/29/2023] Open
Abstract
Background: 3D technology support is an emerging technology in the field of congenital heart diseases (CHD). The goals of 3D printings or models is mainly a better analysis of complex anatomies to optimize the surgical repair or intervention planning. Method: We performed a systematic review to evaluate the accuracy and reliability of CHD modelization and 3D printing, as well as the proof of concept of the benefit of 3D printing in planning interventions. Results: Correlation studies showed good results with anatomical measurements. This technique can therefore be considered reliable with the limit of the operator's subjectivity in modelizing the defect. In cases series, the benefits of the 3D technology have been shown for describing the vessels anatomy and guiding the surgical approach. For intra-cardiac complex anatomy, 3D models have been shown helpful for the planification of intracardiac repair. However, there is still lack of evidence based approach for the usefulness of 3D models in CHD in changing outcomes after surgery or interventional procedures due to the difficulty to design a prospective study with comprehensive and clinically meaningful end-points. Conclusion: 3D technology can be used to improve the understanding of anatomy of complex CHD and to guide surgical strategy. However, there is a need to design clinical studies to identify the place of this approach in the current clinical practice.
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Affiliation(s)
- Clément Batteux
- Department of Congenital and Pediatric Cardiology, Centre de Référence Malformations Cardiaques Congénitales Complexes, Hôpital Necker-Enfants Malades, Assistance Publique-Hopitaux de Paris, Université Paris Descartes, Sorbonne Paris Cité, Paris, France
| | - Moussa A Haidar
- Department of Congenital and Pediatric Cardiology, Centre de Référence Malformations Cardiaques Congénitales Complexes, Hôpital Necker-Enfants Malades, Assistance Publique-Hopitaux de Paris, Université Paris Descartes, Sorbonne Paris Cité, Paris, France
| | - Damien Bonnet
- Department of Congenital and Pediatric Cardiology, Centre de Référence Malformations Cardiaques Congénitales Complexes, Hôpital Necker-Enfants Malades, Assistance Publique-Hopitaux de Paris, Université Paris Descartes, Sorbonne Paris Cité, Paris, France
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18
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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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19
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Manufacturing Better Outcomes in Cardiovascular Intervention: 3D Printing in Clinical Practice Today. CURRENT TREATMENT OPTIONS IN CARDIOVASCULAR MEDICINE 2018; 20:95. [DOI: 10.1007/s11936-018-0692-1] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
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20
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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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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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22
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Foley TA, El Sabbagh A, Anavekar NS, Williamson EE, Matsumoto JM. 3D-Printing: Applications in Cardiovascular Imaging. CURRENT RADIOLOGY REPORTS 2017. [DOI: 10.1007/s40134-017-0239-3] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/30/2023]
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