Literature DB >> 31240370

Utility of 3D Printed Cardiac Models for Medical Student Education in Congenital Heart Disease: Across a Spectrum of Disease Severity.

Jennifer Smerling1, Charles C Marboe2, Jay H Lefkowitch2, Martina Pavlicova3, Emile Bacha4, Andrew J Einstein5,6, Yoshifumi Naka7, Julie Glickstein8, Kanwal M Farooqi9.   

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.

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Year:  2019        PMID: 31240370     DOI: 10.1007/s00246-019-02146-8

Source DB:  PubMed          Journal:  Pediatr Cardiol        ISSN: 0172-0643            Impact factor:   1.655


  7 in total

1.  Utility and Access to 3-Dimensional Printing in the Context of Congenital Heart Disease: An International Physician Survey Study.

Authors:  Caroline F Illmann; Martin Hosking; Kevin C Harris
Journal:  CJC Open       Date:  2020-02-10

Review 2.  Clinical Applications of Patient-Specific 3D Printed Models in Cardiovascular Disease: Current Status and Future Directions.

Authors:  Zhonghua Sun
Journal:  Biomolecules       Date:  2020-11-20

3.  Quantitative Assessment of 3D Printed Model Accuracy in Delineating Congenital Heart Disease.

Authors:  Shenyuan Lee; Andrew Squelch; Zhonghua Sun
Journal:  Biomolecules       Date:  2021-02-12

4.  Replicating Anatomical Teaching Specimens Using 3D Modeling Embedded Within a Multimodal e-Learning Course: Pre-Post Study Exploring the Impact on Medical Education During COVID-19.

Authors:  Chelsea Stunden; John Jacob; Sima Zakani; Avery Martin; Shreya Moodley
Journal:  JMIR Med Educ       Date:  2021-11-17

5.  Role of 3D printing technology in paediatric teaching and training: a systematic review.

Authors:  Ashar Asif; Elgin Lee; Massimo Caputo; Giovanni Biglino; Andrew Ian Underwood Shearn
Journal:  BMJ Paediatr Open       Date:  2021-12

Review 6.  Standardizing evaluation of patient-specific 3D printed models in surgical planning: development of a cross-disciplinary survey tool for physician and trainee feedback.

Authors:  Lauren Schlegel; Michelle Ho; J Matthew Fields; Erik Backlund; Robert Pugliese; Kristy M Shine
Journal:  BMC Med Educ       Date:  2022-08-12       Impact factor: 3.263

7.  3D-Printed Coronary Plaques to Simulate High Calcification in the Coronary Arteries for Investigation of Blooming Artifacts.

Authors:  Zhonghua Sun; Curtise Kin Cheung Ng; Yin How Wong; Chai Hong Yeong
Journal:  Biomolecules       Date:  2021-09-03
  7 in total

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