TY - JOUR
T1 - Microcatheter tracking in thrombectomy procedures
T2 - A finite-element simulation study
AU - Arrarte Terreros, Nerea
AU - Renon, Silvia
AU - Zucchelli, Francesca
AU - Bridio, Sara
AU - Rodriguez Matas, Jose Felix
AU - Dubini, Gabriele
AU - Konduri, Praneeta R.
AU - Koopman, Miou S.
AU - van Zwam, Wim H.
AU - Yo, Lonneke S. F.
AU - Lo, Rob H.
AU - Marquering, Henk A.
AU - van Bavel, Ed
AU - Majoie, Charles B. L. M.
AU - Migliavacca, Francesco
AU - Luraghi, Giulia
N1 - Funding Information:
This project has received funding from the European Union's Horizon 2020 research and innovation program under grant agreement No 777072, the AMC medical Research BV, Amsterdam UMC, location University of Amsterdam, under project No 21937, the Dr. Catherine van Tussenbroek Fund under grant No A-2022-28, the Genootschap ter bevordering van Natuur-, Genees- en Heelkunde, and from the MIUR FISR-FISR2019_03221 CECOMES. The MR CLEAN Registry was partly funded by TWIN Foundation, Erasmus MC University Medical Center, Maastricht University Medical Center, and Amsterdam University Medical Centers.
Publisher Copyright:
© 2023 Elsevier B.V.
PY - 2023/6/1
Y1 - 2023/6/1
N2 - Background and objective: Mechanical thrombectomy is a minimally invasive procedure that aims at removing the occluding thrombus from the vasculature of acute ischemic stroke patients. Thrombectomy success and failure can be studied using in-silico thrombectomy models. Such models require realistic modeling steps to be effective. We here present a new approach to model microcatheter tracking during thrombectomy. Methods: For 3 patient-specific vessel geometries, we performed finite-element simulations of the microcatheter tracking (1) following the vessel centerline (centerline method) and (2) as a one-step insertion simulation, where the microcatheter tip was advanced along the vessel centerline while its body was free to interact with the vessel wall (tip-dragging method). Qualitative validation of the two tracking methods was performed with the patient's digital subtraction angiography (DSA) images. In addition, we compared simulated thrombectomy outcomes (successful vs unsuccessful thrombus retrieval) and maximum principal stresses on the thrombus between the centerline and tip-dragging method. Results: Qualitative comparison with the DSA images showed that the tip-dragging method more realistically resembles the patient-specific microcatheter-tracking scenario, where the microcatheter approaches the vessel walls. Although the simulated thrombectomy outcomes were similar in terms of thrombus retrieval, the thrombus stress fields (and the associated fragmentation of the thrombus) were strongly different between the two methods, with local differences in the maximum principal stress curves up to 84%. Conclusions: Microcatheter positioning with respect to the vessel affects the stress fields of the thrombus during retrieval, and therefore, may influence thrombus fragmentation and retrieval in-silico thrombectomy.
AB - Background and objective: Mechanical thrombectomy is a minimally invasive procedure that aims at removing the occluding thrombus from the vasculature of acute ischemic stroke patients. Thrombectomy success and failure can be studied using in-silico thrombectomy models. Such models require realistic modeling steps to be effective. We here present a new approach to model microcatheter tracking during thrombectomy. Methods: For 3 patient-specific vessel geometries, we performed finite-element simulations of the microcatheter tracking (1) following the vessel centerline (centerline method) and (2) as a one-step insertion simulation, where the microcatheter tip was advanced along the vessel centerline while its body was free to interact with the vessel wall (tip-dragging method). Qualitative validation of the two tracking methods was performed with the patient's digital subtraction angiography (DSA) images. In addition, we compared simulated thrombectomy outcomes (successful vs unsuccessful thrombus retrieval) and maximum principal stresses on the thrombus between the centerline and tip-dragging method. Results: Qualitative comparison with the DSA images showed that the tip-dragging method more realistically resembles the patient-specific microcatheter-tracking scenario, where the microcatheter approaches the vessel walls. Although the simulated thrombectomy outcomes were similar in terms of thrombus retrieval, the thrombus stress fields (and the associated fragmentation of the thrombus) were strongly different between the two methods, with local differences in the maximum principal stress curves up to 84%. Conclusions: Microcatheter positioning with respect to the vessel affects the stress fields of the thrombus during retrieval, and therefore, may influence thrombus fragmentation and retrieval in-silico thrombectomy.
KW - Acute ischemic stroke
KW - Finite element analysis
KW - Stent-retriever
KW - Thrombectomy
UR - https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85151322517&origin=inward
UR - https://www.ncbi.nlm.nih.gov/pubmed/37011425
U2 - 10.1016/j.cmpb.2023.107515
DO - 10.1016/j.cmpb.2023.107515
M3 - Article
C2 - 37011425
SN - 0169-2607
VL - 234
JO - Computer Methods and Programs in Biomedicine
JF - Computer Methods and Programs in Biomedicine
M1 - 107515
ER -