: There is currently a shift in surgical training from traditional methods to simulation-based approaches, recognizing the necessity of more effective and controlled learning environments. This study introduces a completely new 3D-printed modular system for endovascular surgery training (M-SET), developed to allow various difficulty levels. Its design was based on computed tomography angiographies from real patient data with femoro-popliteal lesions. The study aimed to explore the integration of simulation training via a 3D model into the surgical training curriculum and its effect on their performance. Our preliminary study included 12 volunteer trainees randomized 1:1 into the standard simulation (SS) group (3 stepwise difficulty training sessions) and the random simulation (RS) group (random difficulty of the M-SET). A senior surgeon evaluated and timed the final training session. Feedback reports were assessed through the Student Satisfaction and Self-Confidence in Learning Scale. The SS group completed the training sessions in about half time (23.13 ± 9.2 min vs. 44.6 ± 12.8 min). Trainees expressed high satisfaction with the training program supported by the M-SET. Our 3D-printed modular training model meets the current need for new endovascular training approaches, offering a customizable, accessible, and effective simulation-based educational program with the aim of reducing the time required to reach a high level of practical skills.

Surgical Medical Education via 3D Bioprinting: Modular System for Endovascular Training / Foresti, Ruben; Fornasari, Anna; Bianchini Massoni, Claudio; Mersanne, Arianna; Martini, Chiara; Cabrini, Elisa; Freyrie, Antonio; Perini, Paolo. - In: BIOENGINEERING. - ISSN 2306-5354. - 11:2(2024). [10.3390/bioengineering11020197]

Surgical Medical Education via 3D Bioprinting: Modular System for Endovascular Training

Foresti, Ruben
;
Fornasari, Anna;Bianchini Massoni, Claudio;Martini, Chiara;Cabrini, Elisa;Freyrie, Antonio;Perini, Paolo
2024-01-01

Abstract

: There is currently a shift in surgical training from traditional methods to simulation-based approaches, recognizing the necessity of more effective and controlled learning environments. This study introduces a completely new 3D-printed modular system for endovascular surgery training (M-SET), developed to allow various difficulty levels. Its design was based on computed tomography angiographies from real patient data with femoro-popliteal lesions. The study aimed to explore the integration of simulation training via a 3D model into the surgical training curriculum and its effect on their performance. Our preliminary study included 12 volunteer trainees randomized 1:1 into the standard simulation (SS) group (3 stepwise difficulty training sessions) and the random simulation (RS) group (random difficulty of the M-SET). A senior surgeon evaluated and timed the final training session. Feedback reports were assessed through the Student Satisfaction and Self-Confidence in Learning Scale. The SS group completed the training sessions in about half time (23.13 ± 9.2 min vs. 44.6 ± 12.8 min). Trainees expressed high satisfaction with the training program supported by the M-SET. Our 3D-printed modular training model meets the current need for new endovascular training approaches, offering a customizable, accessible, and effective simulation-based educational program with the aim of reducing the time required to reach a high level of practical skills.
2024
Surgical Medical Education via 3D Bioprinting: Modular System for Endovascular Training / Foresti, Ruben; Fornasari, Anna; Bianchini Massoni, Claudio; Mersanne, Arianna; Martini, Chiara; Cabrini, Elisa; Freyrie, Antonio; Perini, Paolo. - In: BIOENGINEERING. - ISSN 2306-5354. - 11:2(2024). [10.3390/bioengineering11020197]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11381/2978973
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