Simulation of multi-curve active catheterization for endovascular navigation to complex targets

Badrou, Arif; Tardif, Nicolas; Chaudet, Philippe; Lescanne, Nathan; Szewczyk, Jérôme; Blanc, Raphaël; Hamila, Nahiene; Gravouil, Anthony; Bel-Brunon, Aline

doi:10.1016/j.jbiomech.2022.111147

Cited by 2 publications

(2 citation statements)

References 28 publications

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“…The performance of the method reported herein is in accordance with previous studies reporting a reduction of CPU time, from approximately 3 h for FEA to <1 s for reduced models (i.e., a 10 4 -fold reduction) ( Lu et al, 2018 ) and 5 min for FEA to 10 –5 s for reduced models (i.e., a 10 7 -fold reduction) ( Badrou et al, 2023 ). In comparison, a proper orthogonal decomposition (POD) was used by Ng et al for modelling the cardiac propagation and reported similar accuracy with a 10-fold reduction of computing time ( Khan et al, 2020 ).…”

Section: Discussionsupporting

confidence: 90%

“…However, the computing time remains long due to large meshes and non-linearity of the periodontal ligament. In the medical field, model order reduction (MOR) techniques ( Calka et al, 2021 ), including the most recently described higher-order proper generalised decomposition (HOPGD) method ( Modesto et al, 2015 ; Lu et al, 2018 ; Badrou et al, 2023 ), have been used to simplify the computational complexity of biological processes and allow, for example, to simulate the blood flow with high accuracy or the displacement of the tongue. MOR techniques have yet to be employed in dentistry; herein we compared the results of a HOGPD reduced model to those of a traditional FEA approach.…”

Section: Introductionmentioning

confidence: 99%

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Real-time simulation of the transplanted tooth using model order reduction

Lahoud

Badrou

Ducret

et al. 2023

Front. Bioeng. Biotechnol.

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The biomechanics of transplanted teeth remain poorly understood due to a lack of models. In this context, finite element (FE) analysis has been used to evaluate the influence of occlusal morphology and root form on the biomechanical behavior of the transplanted tooth, but the construction of a FE model is extremely time-consuming. Model order reduction (MOR) techniques have been used in the medical field to reduce computing time, and the present study aimed to develop a reduced model of a transplanted tooth using the higher-order proper generalized decomposition method. The FE model of a previous study was used to learn von Mises root stress, and axial and lateral forces were used to simulate different occlusions between 75 and 175N. The error of the reduced model varied between 0.1% and 5.9% according to the subdomain, and was the highest for the highest lateral forces. The time for the FE simulation varied between 2.3 and 7.2 h. In comparison, the reduced model was built in 17s and interpolation of new results took approximately 2.10−2s. The use of MOR reduced the time for delivering the root stresses by a mean 5.9 h. The biomechanical behavior of a transplanted tooth simulated by FE models was accurately captured with a significant decrease of computing time. Future studies could include using jaw tracking devices for clinical use and the development of more realistic real-time simulations of tooth autotransplantation surgery.

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Section: Discussionsupporting

confidence: 90%

Section: Introductionmentioning

confidence: 99%

Real-time simulation of the transplanted tooth using model order reduction

Lahoud

Badrou

Ducret

et al. 2023

Front. Bioeng. Biotechnol.

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ACCESS: ACtive Catheterization for EndovaScular TreatmentS—A First-in-Human, Single-Center, Nonrandomized, Open Clinical Study of the G60 Active Device for Endovascular Neurointerventions

Escalard,

Al-Raaisi,

Désilles

et al. 2024

AJNR Am J Neuroradiol

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The catheterization of supra-aortic vessels during neuroendovascular interventions may be challenging in the setting of complex aortic arch anatomy. Evaluation of a new mechatronic controllable directional device in conjunction with different sheath and guide catheters to ease the cannulation of the supra-aortic vessels was conducted in the setting of a first-in-human clinical study. The evaluation assessment included access to the aortic arch, the technical success of the device in terms of time to target vessel, target vessel catheterization, adverse events, and clinical outcome. Ten subjects were enrolled at 1 site for treatment. Successful access, target vessel catheterization, and correct positioning of the catheter into the target vessel with the G60 device were achieved for all 10 procedures (7 from femoral access, 3 from radial access). One procedural complication, unrelated to the G60 device, was recorded during the investigation. The G60 is a polyvalent active device that facilitates guide catheter navigation in neuroendovascular interventions.ABBREVIATIONS: DSMB ¼ data and safety monitoring board; FIH ¼ first-in-human; GC ¼ guide catheter; SAV ¼ supra-aortic vessel

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Simulation of multi-curve active catheterization for endovascular navigation to complex targets

Cited by 2 publications

References 28 publications

Real-time simulation of the transplanted tooth using model order reduction

Real-time simulation of the transplanted tooth using model order reduction

ACCESS: ACtive Catheterization for EndovaScular TreatmentS—A First-in-Human, Single-Center, Nonrandomized, Open Clinical Study of the G60 Active Device for Endovascular Neurointerventions

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