Three-dimensional simulation for interventional cardiology procedures: Face and content validity.

INTRODUCTION AND OBJECTIVES: Three-dimensional (3D) model simulation provides the opportunity to manipulate real devices and learn intervention skills in a realistic, controlled, and safe environment. To ensure that simulators provide a realistic surrogate to real procedures they must undergo scientific validation. We aimed to evaluate the 3D-printed simulator SimulHeart® for face and content validity to demonstrate its value as a training tool in interventional cardiology (IC). METHODS: Health professionals were recruited from sixteen Portuguese IC units. All participants received a 30-minute theoretical introduction, 10-minute demonstration of each task and then performed the intervention on a 3D-printed simulator (SimulHeart®). Finally, a post-training questionnaire focusing on the appearance of the simulation, simulation content, and satisfaction/self-efficacy was administered. RESULTS: We included 56 participants: 16 "experts" (general and interventional cardiologists), 26 "novices" (cardiology residents), and 14 nurses and allied professionals. On a five-point Likert scale, the overall mean score of face validity was 4.38±0.35 and the overall mean score of content validity was 4.69±0.32. There was no statistically significant difference in the scores provided by "experts" and "novices". Participants reported a high level of satisfaction/self-efficacy with 60.7% considering it strongly improved their skills. The majority (82.1%) "agreed" or "strongly agreed" that after the simulation they felt confident to perform the procedure on a patient. CONCLUSION: The 3D-printed simulator (SimulHeart®) showed excellent face and content validity. 3D simulation may play an important role in future IC training programs. Further research is required to correlate simulator performance with clinical performance in real patients.

Cardiovascular Three-Dimensional Printing in Non-Congenital Percutaneous Interventions.

Three-dimensional (3D) printing technology is emerging as a potential new tool for the planning of medical interventions. In the last few years, increasing data have accumulated on its ability to guide interventional cardiology procedures, going beyond initial reports in congenital heart disease settings. In fact, there is compelling evidence on the advantages of a 3D-printed guided strategy for left atrial appendage closure, suggesting a high success rate with optimal device selection and lower radiation load. Furthermore, there is emerging experience in aortic root printing, which may improve the success rate and safety of transcatheter aortic valve replacement and may be of particular interest for targeting low-risk populations. Additionally, there are stimulating reports in mitral valve intervention, setting the tone for this new field in cardiovascular percutaneous intervention. In this clinically oriented paper, we will review current 3D printing use in interventional cardiology and we will address future directions, with a focus on procedural planning and medical simulation.

Patient-specific 3D printing simulation to guide complex coronary intervention.

The field of three-dimensional printing applied to patient-specific simulation is evolving as a tool to enhance intervention results. We report the first case of a fully simulated percutaneous coronary intervention in a three-dimensional patient-specific model to guide treatment. An 85-year-old female presented with symptomatic in-stent restenosis in the ostial circumflex and was scheduled for percutaneous coronary intervention. Considering the complexity of the anatomy, patient setting and intervention technique, we elected to replicate the coronary anatomy using a three-dimensional model. In this way, we simulated the intervention procedure beforehand in the catheterization laboratory using standard materials. The procedure was guided by optical coherence tomography, with pre-dilatation of the lesion, implantation of a single drug-eluting stent in the ostial circumflex and kissing balloon inflation to the left anterior descending artery and circumflex. Procedural steps were replicated in the real patient's treatment, with remarkable parallelism in angiographic outcome and luminal gain at intracoronary imaging. In this proof-of-concept report, we show that patient-specific simulation is feasible to guide the treatment strategy of complex coronary artery disease. It enables the surgical team to plan and practice the procedure beforehand, and possibly predict complications and gain confidence.