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Radiation-free thoracic endovascular aneurysm repair with fiberoptic and electromagnetic guidance: a phantom study

Malte Maria Sieren, Sonja Jäckle, Tim Eixmann, Hinnerk Schulz-Hildebrandt, Florian Matysiak, Mark Preuss, Verónica Garcia-Vázquez, Erik Stahlberg, Markus Kleemann, Jörg Barkhausen

Abstract

Purpose
To evaluate the feasibility and accuracy of a radiation-free implantation of a thoracic aortic stent graft employing fiberoptic and electromagnetic tracking in an anthropomorphic phantom.

Materials and Methods
An anthropomorphic phantom was manufactured based on computed tomography (CT) angiography data from a patient. An aortic stent graft application system was equipped with a fiber Bragg gratings and 3 electromagnetic sensors. The stent graft was navigated in the phantom by 3 interventionalists using the tracking data generated by both technologies. One implantation procedure was performed. The technical success of the procedure was evaluated using digital subtraction angiography and CT angiography (before and after the intervention). Tracking accuracy was determined at various anatomical landmarks based on separately acquired fluoroscopic images. The mean/maximum errors were measured for the stent graft application system and the tip/end of the stent graft.

Results
The procedure resulted in technical success with a mean error below 3 mm for the entire application system and <2 mm for the position of the tip of the stent graft. Navigation/implantation and handling of the device were rated sufficiently accurate and on par with comparable, routinely used stent graft application systems.

Conclusions
The study demonstrates successful stent graft implantation during a thoracic endovascular aortic repair procedure employing advanced guidance techniques and avoiding fluoroscopic imaging. This is an essential step in facilitating the implantation of stent grafts and reducing the health risks associated with ionizing radiation during endovascular procedures.
Originalspracheundefiniert/unbekannt
ZeitschriftJournal of Vascular and Interventional Radiology
Jahrgang33
Ausgabenummer4
Seiten (von - bis)384-391
Seitenumfang8
ISSN1051-0443
PublikationsstatusVeröffentlicht - 2022

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

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