| Literature DB >> 28284205 |
Yue-Hin Loke1, Ashraf S Harahsheh2, Axel Krieger3, Laura J Olivieri2,3.
Abstract
BACKGROUND: Congenital heart disease (CHD) is the most common human birth defect, and clinicians need to understand the anatomy to effectively care for patients with CHD. However, standard two-dimensional (2D) display methods do not adequately carry the critical spatial information to reflect CHD anatomy. Three-dimensional (3D) models may be useful in improving the understanding of CHD, without requiring a mastery of cardiac imaging. The study aimed to evaluate the impact of 3D models on how pediatric residents understand and learn about tetralogy of Fallot following a teaching session.Entities:
Keywords: 3D printing; Congenital heart disease; Resident education
Mesh:
Year: 2017 PMID: 28284205 PMCID: PMC5346255 DOI: 10.1186/s12909-017-0889-0
Source DB: PubMed Journal: BMC Med Educ ISSN: 1472-6920 Impact factor: 2.463
Fig. 1Respective physical models and features are as shown. a Normal heart: This model, created from Cardiac CT, is partitioned into 3 pieces, including an anterior portion (the right ventricular free wall) that can be removed to visualize the normal interventricular septum. The remaining superior and inferior portions can be separated to allow for visualization of the aorta and its position relative to the right ventricle. b Repaired tetralogy of Fallot heart from an adult: The model, created from Cardiac MRI is separated into 2 pieces, well fitted together via “Lego” peg depression. The cut in the main body allows for clear visualization of the pulmonary infundibular stenosis and overriding aorta. c Unrepaired tetralogy of Fallot heart from an infant: The 3D model, created from 3D echocardiogram, was partitioned into 2 pieces; a superior and inferior portion divided along the ventricular septal defect. d Unrepaired tetralogy of Fallot heart from an infant: Separating superior and inferior portions allows for clear visualization of the VSD as well as the aortic override relative to the VSD
Fig. 2Questionnaire on learner satisfaction
Fig. 3Questionnaire on self-efficacy
Thirty-five pediatric residents enrolled into the study, with no significant differences in background characteristics, including previous clinical exposure to Tetralogy of Fallot
| Education intervention | 2D images | 3D models |
|
|---|---|---|---|
| Number Enrolled | 17 | 18 | |
| Residency Track | 0.7 | ||
| Categorical | 14 | 15 | |
| Non-categorical | 3 | 3 | |
| Previous Exposure to # of ToF patients | 0.6 | ||
| None | 7 | 8 | |
| 1–3 patients | 9 | 6 | |
| 4–6 patients | 1 | 2 | |
| Previous sources of knowledge for ToF | 0.9 | ||
| Lectures | 15 | 12 | |
| Rounds | 7 | 4 |
Fig. 4Impact of 3D heart models on medical education. Both 2D image and physical 3D model groups show improvement in knowledge based on multiple choice testing. There was a statistically significant difference in satisfaction ratings when 3D models were used. While residents in 3D model groups had higher self-efficacy aggregate scores, this difference was not statistically significant
Impact of 3D heart models on knowledge acquisition. The pre-test and post-test comprised of 9 questions in multiple choice format. Both 2D image and 3D model groups show the same effect of knowledge acquisition
| Study group | Mean pre-test score | Mean post-test score |
|
|---|---|---|---|
| 2D Images | 3.8 ± 1.5 | 6.3 ± 1.2 | <0.01 |
| 3D Models | 4.3 ± 1.9 | 6.0 ± 1.6 | <0.01 |