Literature DB >> 23863763

Relative residence time prolongation in intracranial aneurysms: a possible association with atherosclerosis.

Shin-ichiro Sugiyama1, Kuniyasu Niizuma, Toshio Nakayama, Hiroaki Shimizu, Hidenori Endo, Takashi Inoue, Miki Fujimura, Makoto Ohta, Akira Takahashi, Teiji Tominaga.   

Abstract

BACKGROUND: Intracranial aneurysms can have atherosclerotic wall properties that may be important in predicting aneurysm history or estimating the potential risks of surgical treatments.
OBJECTIVE: To investigate hemodynamic characteristics of atherosclerotic lesions in intracranial aneurysms using computational fluid dynamics.
METHODS: Intraoperative video recordings of 30 consecutive patients with an unruptured middle cerebral artery aneurysm were examined to identify atherosclerotic lesions on an aneurysm wall. For computational fluid dynamics analyses, geometries of aneurysms and adjacent arteries were reconstructed from 3-dimensional rotational angiography. Transient simulations were conducted under patient-specific pulsatile inlet conditions measured by phase-contrast magnetic resonance velocimetry. Three hemodynamic wall parameters were calculated: time-averaged wall shear stress, oscillatory shear index, and relative residence time (RRT). Statistical analyses were performed to discriminate the risk factors of atherosclerotic lesion formation.
RESULTS: Among 30 aneurysms, 7 atherosclerotic lesions with remarkable yellow lipid deposition were identified in 5 aneurysms. All 7 atherosclerotic lesions spatially agreed with the area with prolonged RRT. Univariate analysis revealed that male sex (P = .03), cigarette smoking (P = .047), and maximum RRT (P = .02) are significantly related to atherosclerotic lesion on the intracranial aneurysmal wall. Of those variables that influenced atherosclerotic lesion of the intracranial aneurysmal wall, male sex (P = .005) and maximum RRT (P = .004) remained significant in the multivariate regression model.
CONCLUSION: The area with prolonged RRT colocalized with atherosclerotic change on the aneurysm wall. Male sex and maximum RRT were independent risk factors for atherogenesis in intracranial aneurysms.

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Year:  2013        PMID: 23863763     DOI: 10.1227/NEU.0000000000000096

Source DB:  PubMed          Journal:  Neurosurgery        ISSN: 0148-396X            Impact factor:   4.654


  17 in total

Review 1.  What does computational fluid dynamics tell us about intracranial aneurysms? A meta-analysis and critical review.

Authors:  Khalid M Saqr; Sherif Rashad; Simon Tupin; Kuniyasu Niizuma; Tamer Hassan; Teiji Tominaga; Makoto Ohta
Journal:  J Cereb Blood Flow Metab       Date:  2019-06-18       Impact factor: 6.200

2.  Local Hemodynamic Conditions Associated with Focal Changes in the Intracranial Aneurysm Wall.

Authors:  J R Cebral; F Detmer; B J Chung; J Choque-Velasquez; B Rezai; H Lehto; R Tulamo; J Hernesniemi; M Niemela; A Yu; R Williamson; K Aziz; S Shakur; S Amin-Hanjani; F Charbel; Y Tobe; A Robertson; J Frösen
Journal:  AJNR Am J Neuroradiol       Date:  2019-02-07       Impact factor: 3.825

Review 3.  Hemodynamic changes in a middle cerebral artery aneurysm at follow-up times before and after its rupture: a case report and a review of the literature.

Authors:  A Sejkorová; K D Dennis; H Švihlová; O Petr; G Lanzino; A Hejčl; D Dragomir-Daescu
Journal:  Neurosurg Rev       Date:  2016-11-24       Impact factor: 3.042

4.  The Computational Fluid Dynamics Rupture Challenge 2013—Phase I: prediction of rupture status in intracranial aneurysms.

Authors:  G Janiga; P Berg; S Sugiyama; K Kono; D A Steinman
Journal:  AJNR Am J Neuroradiol       Date:  2014-12-11       Impact factor: 3.825

5.  Hemodynamic findings associated with intraoperative appearances of intracranial aneurysms.

Authors:  Pengjun Jiang; Qingyuan Liu; Jun Wu; Xin Chen; Maogui Li; Fan Yang; Zhengsong Li; Shuzhe Yang; Rui Guo; Bin Gao; Yong Cao; Rong Wang; Fei Di; Shuo Wang
Journal:  Neurosurg Rev       Date:  2018-09-21       Impact factor: 3.042

6.  Calcification in Human Intracranial Aneurysms Is Highly Prevalent and Displays Both Atherosclerotic and Nonatherosclerotic Types.

Authors:  Piyusha S Gade; Riikka Tulamo; Kee-Won Lee; Fernando Mut; Eliisa Ollikainen; Chih-Yuan Chuang; Bong Jae Chung; Mika Niemelä; Behnam Rezai Jahromi; Khaled Aziz; Alexander Yu; Fady T Charbel; Sepideh Amin-Hanjani; Juhana Frösen; Juan R Cebral; Anne M Robertson
Journal:  Arterioscler Thromb Vasc Biol       Date:  2019-08-29       Impact factor: 8.311

7.  Computational Hemodynamic Analysis for the Diagnosis of Atherosclerotic Changes in Intracranial Aneurysms: A Proof-of-Concept Study Using 3 Cases Harboring Atherosclerotic and Nonatherosclerotic Aneurysms Simultaneously.

Authors:  Shin-Ichiro Sugiyama; Hidenori Endo; Kuniyasu Niizuma; Toshiki Endo; Kenichi Funamoto; Makoto Ohta; Teiji Tominaga
Journal:  Comput Math Methods Med       Date:  2016-09-14       Impact factor: 2.238

8.  Influence of shear stress magnitude and direction on atherosclerotic plaque composition.

Authors:  Ryan M Pedrigi; Vikram V Mehta; Sandra M Bovens; Zahra Mohri; Christian Bo Poulsen; Willy Gsell; Jordi L Tremoleda; Leila Towhidi; Ranil de Silva; Enrico Petretto; Rob Krams
Journal:  R Soc Open Sci       Date:  2016-10-19       Impact factor: 2.963

9.  Combining data from multiple sources to study mechanisms of aneurysm disease: Tools and techniques.

Authors:  Juan R Cebral; Fernando Mut; Piyusha Gade; Fangzhou Cheng; Yasutaka Tobe; Juhana Frosen; Anne M Robertson
Journal:  Int J Numer Method Biomed Eng       Date:  2018-08-21       Impact factor: 2.747

10.  Hemodynamic characteristics of hyperplastic remodeling lesions in cerebral aneurysms.

Authors:  Kazuhiro Furukawa; Fujimaro Ishida; Masanori Tsuji; Yoichi Miura; Tomoyuki Kishimoto; Masato Shiba; Hiroshi Tanemura; Yasuyuki Umeda; Takanori Sano; Ryuta Yasuda; Shinichi Shimosaka; Hidenori Suzuki
Journal:  PLoS One       Date:  2018-01-16       Impact factor: 3.240

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