Literature DB >> 29783867

Virtual stenting of intracranial aneurysms: A pilot study for the prediction of treatment success based on hemodynamic simulations.

Philipp Berg1,2, Sylvia Saalfeld2,3, Gábor Janiga1,2, Olivier Brina4, Nicole M Cancelliere5, Paolo Machi4, Vitor M Pereira5,6.   

Abstract

Endovascular treatment of intracranial aneurysms using flow-diverting devices has revolutionized the treatment of large and complex lesions due to its minimally invasive nature and potential clinical outcomes. However, incomplete or delayed occlusion and persistent intracranial aneurysm growth are still an issue for up to one-third of the patients. We evaluated two patients with intracranial aneurysm located at the internal carotid artery who were treated with flow-diverting devices and had opposite outcomes. Both patients presented with similar aneurysms and were treated with the same device, but after a 1-year follow-up, one case presented with complete occlusion (Case 1) and the other required further treatment (Case 2). To reproduce the interventions, virtual stents were deployed and blood flow simulations were carried out using the respective patient-specific geometries. Afterward, hemodynamic metrics such as aneurysmal inflow reduction, wall shear stresses, oscillatory shear, and inflow concentration indices were quantified. The hemodynamic simulations reveal that for both cases, the neck inflow was clearly reduced due to the therapy (Case 1: 19%, Case 2: 35%). In addition, relevant hemodynamic parameters such as time-averaged wall shear stress (Case 1: 35.6%, Case 2: 57%) and oscillatory shear (Case 1: 33.1%, Case 2: 26.7%) were decreased considerably. However, although stronger relative reductions occurred in the unsuccessful case, the absolute flow values in the successful case were approximately halved. The findings demonstrate that a high relative effect of endovascular devices is not necessarily associated with the desired treatment outcome. Instead, it appears that a successful intracranial aneurysm therapy requires a certain patient-specific inflow threshold.

Entities:  

Keywords:  Intracranial aneurysm; computational fluid dynamics; flow-diverter; hemodynamics; virtual stenting

Mesh:

Year:  2018        PMID: 29783867     DOI: 10.1177/0391398818775521

Source DB:  PubMed          Journal:  Int J Artif Organs        ISSN: 0391-3988            Impact factor:   1.595


  5 in total

1.  How Flow Reduction Influences the Intracranial Aneurysm Occlusion: A Prospective 4D Phase-Contrast MRI Study.

Authors:  O Brina; P Bouillot; P Reymond; A S Luthman; C Santarosa; M Fahrat; K O Lovblad; P Machi; B M A Delattre; V M Pereira; M I Vargas
Journal:  AJNR Am J Neuroradiol       Date:  2019-11-14       Impact factor: 3.825

2.  Platelet Dynamics and Hemodynamics of Cerebral Aneurysms Treated with Flow-Diverting Stents.

Authors:  Laurel M M Marsh; Michael C Barbour; Venkat Keshav Chivukula; Fanette Chassagne; Cory M Kelly; Samuel H Levy; Louis J Kim; Michael R Levitt; Alberto Aliseda
Journal:  Ann Biomed Eng       Date:  2019-09-23       Impact factor: 3.934

3.  Neck Location on the Outer Convexity is a Predictor of Incomplete Occlusion in Treatment with the Pipeline Embolization Device: Clinical and Angiographic Outcomes.

Authors:  T Sunohara; H Imamura; M Goto; R Fukumitsu; S Matsumoto; N Fukui; Y Oomura; T Akiyama; T Fukuda; K Go; S Kajiura; M Shigeyasu; K Asakura; R Horii; C Sakai; N Sakai
Journal:  AJNR Am J Neuroradiol       Date:  2020-11-12       Impact factor: 3.825

4.  Effect of flow diverter stent malposition on intracranial aneurysm hemodynamics-An experimental framework using stereoscopic particle image velocimetry.

Authors:  Christoph Roloff; Philipp Berg
Journal:  PLoS One       Date:  2022-03-02       Impact factor: 3.240

5.  Implementation of computer simulation to assess flow diversion treatment outcomes: systematic review and meta-analysis.

Authors:  Mingzi Zhang; Simon Tupin; Hitomi Anzai; Yutaro Kohata; Masaaki Shojima; Kosuke Suzuki; Yoshihiro Okamoto; Katsuhiro Tanaka; Takanobu Yagi; Soichiro Fujimura; Makoto Ohta
Journal:  J Neurointerv Surg       Date:  2020-10-23       Impact factor: 5.836

  5 in total

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