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.
| Originalsprache | Englisch |
|---|---|
| Zeitschrift | Journal of Vascular and Interventional Radiology |
| Jahrgang | 33 |
| Ausgabenummer | 4 |
| Seiten (von - bis) | 384-391.e7 |
| ISSN | 1051-0443 |
| DOIs | |
| Publikationsstatus | Veröffentlicht - 04.2022 |
Fördermittel
M.M.S. received support from the BMBF (Ministry for Education and Science, Germany; Grant number: 13GW0228A) for this work. S.J. received support from the BMBF (Ministry for Education and Science, Germany; Grant number: 13GW0228A) for this work. T.E.’s institution (Medical Laser Center Lübeck) received support from the BMBF (Ministry for Education and Science, Germany; Grant number: 13GW0228D) for this work. H.S.-H. received support from the BMBF (Ministry for Education and Science, Germany; Grant numbers: 13GW0228A and 82DZL001A2) for this work and is employed at the Institute of Biomedical Optics via the funded project: 82DZL001A2. F.M. received support from the BMBF (Ministry for Education and Science, Germany; Grant number: 13GW0228A) for this work. M.P. received support from the BMBF (Ministry for Education and Science, Germany; Grant number: 13GW0228A) for this work. V.G.-V.’s institution (Institute for Robotics and Cognitive Systems) received support from the BMBF (Ministry for Education and Science, Germany; Grant number: 13GW0228) for this work. V.G.-V. received support from the BMWi (Federal Ministry for Economic Affairs and Energy, Germany) (contract [3 months] regarding the preproject for the project Artificial Intelligence space for intelligent health systems [KI-SIGS]). V.G.-V. received travel support for the Santiago Aortic Meeting and Philips Medical Systems International B.V. E.S. received support from the BMBF (Ministry for Education and Science, Germany; Grant number: 13GW0228A) for this work. M.K. received support from the BMBF (Ministry for Education and Science, Germany; Grant number: 13GW0228A) for this work. J.B. received support from the BMBF (Ministry for Education and Science, Germany; Grant number: 13GW0228A) for this work. J.P.G. received support from the BMBF (Ministry for Education and Science, Germany; Grant number: 13GW0228A) for this work. M.H. received support from the BMBF (Ministry for Education and Science, Germany; Grant number: 13GW0228A) for this work.
UN SDGs
Dieser Output leistet einen Beitrag zu folgendem(n) Ziel(en) für nachhaltige Entwicklung
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SDG 3 – Gesundheit und Wohlergehen
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SDG 4 – Qualitativ hochwertige Bildung
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SDG 9 – Industrie, Innovation und Infrastruktur
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SDG 11 – Nachhaltige Städte und Gemeinschaften
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SDG 12 – Verantwortungsvoller Konsum und Produktion
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SDG 14 – Lebensraum Wasser
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SDG 15 – Lebensraum Land
Strategische Forschungsbereiche und Zentren
- Forschungsschwerpunkt: Biomedizintechnik
- Zentren: Zentrum für Künstliche Intelligenz Lübeck (ZKIL)
DFG-Fachsystematik
- 2.22-32 Medizinische Physik, Biomedizinische Technik
- 2.22-30 Radiologie
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