Zur Hauptnavigation wechseln Zur Suche wechseln Zum Hauptinhalt wechseln

Feasibility of an endovascular training and research environment with exchangeable patient specific 3D printed vascular anatomy: Simulator with exchangeable patient-specific 3D-printed vascular anatomy for endovascular training and research

Mark Kaschwich*, Malte Sieren, Florian Matysiak, Juljan Bouchagiar, Annika Dell, Andreas Bayer, Floris Ernst, David Ellebrecht, Markus Kleemann, Marco Horn

*Korrespondierende/r Autor/-in für diese Arbeit

Abstract

Purpose: Endovascular interventions have become standard procedures for the therapy of abdominal aortic aneurysms. Therefore, endovascular surgeons need special skills which have to be learned and trained. Additionally, authentic simulators are needed for further development of new endovascular devices and procedures. The aim of this project was to develop an authentic and modular endovascular simulation environment with patient-specific vascular anatomy for training and research purposes. Material and methods: We first designed a prototype with exchangeable 3D-printed patient-specific vascular anatomy. Then, the feasibility of the prototype was validated by a simulation of an EVAR procedure in a clinical setting. Results: We developed an authentic endovascular simulator with an exchangeable patient-specific vascular anatomy and performed an EVAR procedure under realistic conditions. The evaluation of the accuracy of the vascular models showed little deviation when compared with the original CT data. Conclusion: Endovascular simulators based on patient-specific 3D-printed vascular models can realistically mimic endovascular procedures and have the potential to be used for further development of new devices and grafts as well as for training purposes. Furthermore, in our opinion they can reduce the use of animals during developmental processes.

OriginalspracheEnglisch
Aufsatznummer151519
ZeitschriftAnnals of Anatomy
Jahrgang231
Seiten (von - bis)151519
ISSN0940-9602
DOIs
PublikationsstatusVeröffentlicht - 01.09.2020

Fördermittel

This work has been supported by the German Federal Ministry of Education and Research ; Funding Code 13GW0228A .

UN SDGs

Dieser Output leistet einen Beitrag zu folgendem(n) Ziel(en) für nachhaltige Entwicklung

  1. SDG 3 – Gesundheit und Wohlergehen
    SDG 3 – Gesundheit und Wohlergehen
  2. SDG 9 – Industrie, Innovation und Infrastruktur
    SDG 9 – Industrie, Innovation und Infrastruktur

Strategische Forschungsbereiche und Zentren

  • Profilbereich: Lübeck Integrated Oncology Network (LION)

Fingerprint

Untersuchen Sie die Forschungsthemen von „Feasibility of an endovascular training and research environment with exchangeable patient specific 3D printed vascular anatomy: Simulator with exchangeable patient-specific 3D-printed vascular anatomy for endovascular training and research“. Zusammen bilden sie einen einzigartigen Fingerprint.

Zitieren