1
|
Tarca A, Woo N, Bain S, Crouchley D, McNulty E, Yim D. 3D Printed Cardiac Models as an Adjunct to Traditional Teaching of Anatomy in Congenital Heart Disease-A Randomised Controlled Study. Heart Lung Circ 2023; 32:1443-1450. [PMID: 38007317 DOI: 10.1016/j.hlc.2023.09.021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2023] [Revised: 09/07/2023] [Accepted: 09/29/2023] [Indexed: 11/27/2023]
Abstract
INTRODUCTION Three-dimensional (3D) printed cardiac models are increasingly being used for medical education, simulation and training, communication, surgical planning and research. Given the complexities of congenital cardiac anatomy, 3D printing is well suited as an adjunct to traditional teaching methods. This study aims to explore the influence of 3D printed cardiac models as a teaching aid for nurses and paediatric trainees. We hypothesise that using 3D models as an adjunct to didactic teaching methods improves knowledge and confidence levels of participants, regardless of their cardiology experience. METHOD A prospective randomised study was performed recruiting paediatric nurses and doctors at a tertiary paediatric hospital. All participants undertook traditional congenital cardiac teaching describing normal cardiac anatomy and seven congenital lesions of increasing complexity (atrial septal defect, ventricular septal defect, vascular ring, partial anomalous pulmonary venous return, tetralogy of Fallot, transposition of the great arteries, and double outlet right ventricle). The intervention group received an additional recorded demonstration while handling 3D printed models of a normal heart and the same lesions. Pre- and post-intervention assessments were completed using a subjective Likert-scale questionnaire and objective multiple-choice examination. RESULTS A total of 73 health practitioners (30 cardiac nurses and 43 paediatric trainees) were included. Subjective knowledge and confidence levels substantially improved in the intervention group (both p<0.001), with no differences observed in the control group. Greater improvement in both subjective and objective post-test scores was observed in the intervention group. A pronounced difference between pre- and post-teaching objective examination scores was found in both groups (p=0.002), with larger improvements observed in the intervention group. The mean score in the intervention group after teaching increased by 4.27 (21.4% improvement), as opposed to 2.28 (11.4% improvement) in the control group. There was no difference in pre-test score or post-test improvement based on previous cardiology experience. DISCUSSION Three-dimensional (3D) printed cardiac models, when used as an adjunct to traditional teaching methods, substantially improve knowledge and confidence levels of health professionals on a range of congenital cardiac lesions. These models enhance the learners' educational experience and understanding of cardiac anatomy by overcoming the limitation of two-dimensional representations of 3D structures.
Collapse
Affiliation(s)
- Adrian Tarca
- Children's Cardiac Centre, Perth Children's Hospital, Perth, WA, Australia
| | - Ngai Woo
- Children's Cardiac Centre, Perth Children's Hospital, Perth, WA, Australia
| | - Shahira Bain
- Nursing Education, Perth Children's Hospital, Perth, WA, Australia
| | - David Crouchley
- Children's Cardiac Centre, Perth Children's Hospital, Perth, WA, Australia
| | - Eamonn McNulty
- Medical Illustrations, Perth Children's Hospital, Perth, WA, Australia
| | - Deane Yim
- Children's Cardiac Centre, Perth Children's Hospital, Perth, WA, Australia.
| |
Collapse
|
2
|
Venet M, Friedberg MK, Mertens L, Baranger J, Jalal Z, Tlili G, Villemain O. Nuclear Imaging in Pediatric Cardiology: Principles and Applications. Front Pediatr 2022; 10:909994. [PMID: 35874576 PMCID: PMC9301385 DOI: 10.3389/fped.2022.909994] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Accepted: 06/16/2022] [Indexed: 11/13/2022] Open
Abstract
Nuclear imaging plays a unique role within diagnostic imaging since it focuses on cellular and molecular processes. Using different radiotracers and detection techniques such as the single photon emission scintigraphy or the positron emission tomography, specific parameters can be assessed: myocardial perfusion and viability, pulmonary perfusion, ventricular function, flow and shunt quantification, and detection of inflammatory processes. In pediatric and congenital cardiology, nuclear imaging can add complementary information compared to other imaging modalities such as echocardiography or magnetic resonance imaging. In this state-of-the-art paper, we appraise the different techniques in pediatric nuclear imaging, evaluate their advantages and disadvantages, and discuss the current clinical applications.
Collapse
Affiliation(s)
- Maelys Venet
- Division of Cardiology, Department of Pediatrics, The Hospital for Sick Children, University of Toronto, Toronto, ON, Canada
| | - Mark K. Friedberg
- Division of Cardiology, Department of Pediatrics, The Hospital for Sick Children, University of Toronto, Toronto, ON, Canada
| | - Luc Mertens
- Division of Cardiology, Department of Pediatrics, The Hospital for Sick Children, University of Toronto, Toronto, ON, Canada
| | - Jerome Baranger
- Division of Cardiology, Department of Pediatrics, The Hospital for Sick Children, University of Toronto, Toronto, ON, Canada
| | - Zakaria Jalal
- Department of Congenital and Pediatric Cardiology, Hôpital du Haut-Lévêque, CHU de Bordeaux, Bordeaux-Pessac, France
| | - Ghoufrane Tlili
- Department of Nuclear Medicine, Hôpital du Haut-Lévêque, CHU de Bordeaux, Bordeaux-Pessac, France
| | - Olivier Villemain
- Division of Cardiology, Department of Pediatrics, The Hospital for Sick Children, University of Toronto, Toronto, ON, Canada
| |
Collapse
|
3
|
Smerling J, Marboe CC, Lefkowitch JH, Pavlicova M, Bacha E, Einstein AJ, Naka Y, Glickstein J, Farooqi KM. Utility of 3D Printed Cardiac Models for Medical Student Education in Congenital Heart Disease: Across a Spectrum of Disease Severity. Pediatr Cardiol 2019; 40:1258-1265. [PMID: 31240370 DOI: 10.1007/s00246-019-02146-8] [Citation(s) in RCA: 41] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/05/2019] [Accepted: 06/20/2019] [Indexed: 10/26/2022]
Abstract
The most common modes of medical education for congenital heart disease (CHD) rely heavily on 2-dimensional imaging. Three-dimensional (3D) printing technology allows for the creation of physical cardiac models that can be used for teaching trainees. 3D printed cardiac models were created for the following lesions: pulmonic stenosis, atrial septal defect, tetralogy of Fallot, d-transposition of the great arteries, coarctation of the aorta, and hypoplastic left heart syndrome. Medical students participated in a workshop consisting of different teaching stations. At the 3D printed station, students completed a pre- and post-intervention survey assessing their knowledge of each cardiac lesion on a Likert scale. Students were asked to rank the educational benefit of each modality. Linear regression was utilized to assess the correlation of the mean increase in knowledge with increasing complexity of CHD based on the Aristotle Basic Complexity Level. 45 medical students attended the CHD workshop. Students' knowledge significantly improved for every lesion (p < 0.001). A strong positive correlation was found between mean increase in knowledge and increasing complexity of CHD (R2 = 0.73, p < 0.05). The 3D printed models, pathology specimens and spoken explanation were found to be the most helpful modalities. Students "strongly agreed" the 3D printed models made them more confident in explaining congenital cardiac anatomy to others (mean = 4.23, ± 0.69), and that they recommend the use of 3D models for future educational sessions (mean = 4.40, ± 0.69). 3D printed cardiac models should be included in medical student education particularly for lesions that require a complex understanding of spatial relationships.
Collapse
Affiliation(s)
- Jennifer Smerling
- Department of Pediatrics, Columbia University Irving Medical Center, New York, NY, USA
| | - Charles C Marboe
- Department of Pathology, Columbia University Irving Medical Center, New York, NY, USA
| | - Jay H Lefkowitch
- Department of Pathology, Columbia University Irving Medical Center, New York, NY, USA
| | - Martina Pavlicova
- Department of Biostatistics, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Emile Bacha
- Division of Pediatric Cardiothoracic Surgery, Department of Surgery, Columbia University Medical Center, New York, NY, USA
| | - Andrew J Einstein
- Division of Cardiology, Department of Medicine, Columbia University Irving Medical Center, New York, NY, USA.,Department of Radiology, Columbia University Irving Medical Center, New York, NY, USA
| | - Yoshifumi Naka
- Division of Cardiothoracic Surgery, Department of Surgery, Columbia University Irving Medical Center, New York, NY, USA
| | - Julie Glickstein
- Division of Cardiology, Department of Pediatrics, Columbia University Irving Medical Center, 3959 Broadway, CHN-2, New York, NY, 10023, USA
| | - Kanwal M Farooqi
- Division of Cardiology, Department of Pediatrics, Columbia University Irving Medical Center, 3959 Broadway, CHN-2, New York, NY, 10023, USA.
| |
Collapse
|
4
|
Nau D, Wuest W, Rompel O, Hammon M, Gloeckler M, Toka O, Dittrich S, Rueffer A, Cesnjevar R, Lell MM, Uder M, May MS. Evaluation of ventricular septal defects using high pitch computed tomography angiography of the chest in children with complex congenital heart defects below one year of age. J Cardiovasc Comput Tomogr 2019; 13:226-233. [DOI: 10.1016/j.jcct.2019.01.023] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/04/2018] [Revised: 01/14/2019] [Accepted: 01/31/2019] [Indexed: 01/08/2023]
|
5
|
Multimodal imaging and three-dimensional cardiac computational modelling in the management of congenital heart disease: The secret to getting ahead is to get started. Arch Cardiovasc Dis 2018; 111:395-398. [DOI: 10.1016/j.acvd.2018.05.002] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/03/2018] [Revised: 05/15/2018] [Accepted: 05/15/2018] [Indexed: 11/23/2022]
|