Development of an ultrasound-capable phantom with patient-specific 3D-printed vascular anatomy to simulate peripheral endovascular interventions

Kaschwich, Mark; Dell, Annika; Matysiak, Florian; Bouchagiar, Juljan; Bayer, Andreas; Scharfschwerdt, Michael; Ernst, Floris; Kleemann, Markus; Horn, Marco

doi:10.1016/j.aanat.2020.151563

Cited by 9 publications

(2 citation statements)

References 35 publications

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“…Simulation-based training has been proven to yield positive effects on learning in various medical and surgical disciplines. Specifically in surgery, simulation has demonstrated its efficacy in enhancing trainees' performance, both in bedside practice and within the OR [57][58][59]. Simulators for endovascular intervention have become more widely available in the last few years, and the technology is evolving rapidly.…”

Section: Discussionmentioning

confidence: 99%

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

Foresti,

Fornasari,

Bianchini Massoni

et al. 2024

Bioengineering

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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.

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Section: Discussionmentioning

confidence: 99%

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

Foresti,

Fornasari,

Bianchini Massoni

et al. 2024

Bioengineering

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“…Die Methodik und iterative Erstellung des Gefäßphantoms ist einer aktuellen Publikation unserer Arbeitsgruppe zu entnehmen [12].…”

Section: Ultraschallfähiges Phantomunclassified

Roboterbasierte Ultraschallsteuerung

et al. 2020

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Roboterbasierte Ultraschallsteuerung Pilotstudie zur Roboter-assistierten Ultraschall-gesteuerten peripheren endovaskulären Intervention am Phantomdas RoGUS-PAD-Projekt Einleitung "Nichts auf der Welt ist so kraftvoll wie eine Idee, deren Zeit gekommen ist" (Zitat: Victor Hugo). Unter Berücksichtigung des technischen Fortschritts sind automatisierte Assistenzsysteme in der endovaskulären Chirurgie heutzutage vorstellbar. Die Autoren beschreiben in diesem Artikel ein ambitioniertes Projekt, in dem ein roboterbasiertes ultraschallgesteuertes Assistenzsystem als Alternative zur konventionellen Verwendung von Röntgenstrahlen und Röntgenkontrastmittel im Rahmen von peripheren endovaskulären Interventionen dienen soll.

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A sensorized modular training platform to reduce vascular damage in endovascular surgery

et al. 2023

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Purpose Endovascular interventions require intense practice to develop sufficient dexterity in catheter handling within the human body. Therefore, we present a modular training platform, featuring 3D-printed vessel phantoms with patient-specific anatomy and integrated piezoresistive impact force sensing of instrument interaction at clinically relevant locations for feedback-based skill training to detect and reduce damage to the delicate vascular wall. Methods The platform was fabricated and then evaluated in a user study by medical ($$n=10$$ n = 10 ) and non-medical ($$n=10$$ n = 10 ) users. The users had to navigate a set of guidewire and catheter through a parkour of 3 modules including an aneurismatic abdominal aorta, while impact force and completion time were recorded. Eventually, a questionnaire was conducted. Results The platform allowed to perform more than 100 runs in which it proved capable to distinguish between users of different experience levels. Medical experts in the fields of vascular and visceral surgery had a strong performance assessment on the platform. It could be shown, that medical students could improve runtime and impact over 5 runs. The platform was well received and rated as promising for medical education despite the experience of higher friction compared to real human vessels. Conclusion We investigated an authentic patient-specific training platform with integrated sensor-based feedback functionality for individual skill training in endovascular surgery. The presented method for phantom manufacturing is easily applicable to arbitrary patient-individual imaging data. Further work shall address the implementation of smaller vessel branches, as well as real-time feedback and camera imaging for further improved training experience.

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Development of an ultrasound-capable phantom with patient-specific 3D-printed vascular anatomy to simulate peripheral endovascular interventions

Cited by 9 publications

References 35 publications

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

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

Roboterbasierte Ultraschallsteuerung

A sensorized modular training platform to reduce vascular damage in endovascular surgery

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