Training on Congenital 3D Cardiac Models – Will Models Improve Surgical Performance?

Barron, David J.; Hussein, Nabil; Yoo, Shi‐Joon

doi:10.1053/j.pcsu.2022.12.001

Cited by 4 publications

(3 citation statements)

References 23 publications

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“…7 Implementing a year-long HOST program that incorporates monthly simulations of various CHS procedures is feasible with the proactive involvement of senior staff and organizing personnel, coupled with the commitment of the trainees. 2,7…”

Section: Commentmentioning

confidence: 99%

“…Finally, the translatability of surgical skills acquired during HOST sessions into the intraoperative setting is still one of the unresolved questions in most studies investigating surgical simulations in CHS. 2 Li and colleagues specifically addressed this limitation by evaluating the impact of previous HOST simulations on the surgical outcomes for ventricular septal defect repair performed by residents and fellows. 9 Interestingly, shorter cross-clamp time and lower incidence of residual patch leak requiring multiple pump runs were documented after HOST simulations, independently from the surgical experience of trainees.…”

Section: Commentmentioning

confidence: 99%

“…3D modeling is revolutionizing the understanding of the surgical anatomy of congenital heart defects (CHDs), impacting clinical decision-making, surgeons' training, and parental counseling. [1][2][3][4] Hands-on surgical training (HOST) using 3D-printed or siliconemolded models created from 3D-modeling of patients' imaging data has been proven to be a valid instrument to train residents and fellows in the specific surgical skills to achieve the correction of CHDs. 5,6 By utilizing validated self-assessment tools to investigate procedure-specific details and objectives, 6 both junior and senior surgeons have demonstrated an enhancement in technical performance across two different attempts of the proposed surgical procedures.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Longitudinal Evaluation of Congenital Cardiovascular Surgical Performance and Skills Retention Using Silicone-Molded Heart Models

Ponzoni,

Alamri,

Peel

et al. 2024

World J Pediatr Congenit Heart Surg

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Objective: Hands-on surgical training (HOST) for congenital heart surgery (CHS), utilizing silicone-molded models created from 3D-printing of patients’ imaging data, was shown to improve surgical skills. However, the impact of repetition and frequency of repetition in retaining skills has not been previously investigated. We aimed to longitudinally evaluate the outcome for HOST on two example procedures of different technical difficulties with repeated attempts over a 15-week period. Methods: Five CHS trainees were prospectively recruited. Repair of coarctation of the aorta (CoA) and arterial switch operation (ASO) were selected as example procedures of relatively low and high technical difficulty. Procedural time and technical performance (using procedure-specific assessment tools by the participant, a peer-reviewer, and the proctor) were measured. Results: Coarctation repair performance scores improved after the first repetition but remained unchanged at the follow-up session. Likewise, CoA procedural time showed an early reduction but then remained stable (mean [standard deviation]: 29[14] vs 25[15] vs 23[9] min at 0, 1, and 4 weeks). Conversely, ASO performance scores improved during the first repetitions, but decreased after a longer time delay (>9 weeks). Arterial switch operation procedural time showed modest improvements across simulations but significantly reduced from the first to the last attempt: 119[20] versus 106[28] min at 0 and 15 weeks, P = .049. Conclusions: Complex procedures require multiple HOST repetitions, without excessive time delay to maintain long-term skills improvement. Conversely, a single session may be planned for simple procedures to achieve satisfactory medium-term results. Importantly, a consistent reduction in procedural times was recorded, supporting increased surgical efficiency.

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Section: Commentmentioning

confidence: 99%

Section: Commentmentioning

confidence: 99%