Risk Analysis of Unruptured Aneurysms Using Computational Fluid Dynamics Technology: Preliminary Results

References

1. 1.↵
   Unruptured intracranial aneurysms: risk of rupture and risks of surgical intervention—International Study of Unruptured Intracranial Aneurysms Investigators. N Engl J Med 1998;339:1725–33

   CrossRefPubMedWeb of Science
2. 2.↵
   1. Foutrakis GN,
   2. Yonas H,
   3. Sclabassi RJ

   . Saccular aneurysm formation in curved and bifurcating arteries. AJNR Am J Neuroradiol 1999;20:1309–17

   Abstract/FREE Full Text
3. 3.↵
   1. Linn FH,
   2. Rinkel GJ,
   3. Algra A,
   4. et al

   . Incidence of subarachnoid hemorrhage: role of region, year, and rate of computed tomography: a meta-analysis. Stroke 1996;27:625–29

   Abstract/FREE Full Text
4. 4.↵
   1. Wermer MJ,
   2. van der Schaaf IC,
   3. Algra A,
   4. et al

   . Risk of rupture of unruptured intracranial aneurysms in relation to patient and aneurysm characteristics: an updated meta-analysis. Stroke 2007;38:1404–10

   Abstract/FREE Full Text
5. 5.↵
   1. Ujiie H,
   2. Tachibana H,
   3. Hiramatsu O,
   4. et al

   . Effects of size and shape (aspect ratio) on the hemodynamics of saccular aneurysms: a possible index for surgical treatment of intracranial aneurysms. Neurosurgery 1999;45:119–29, discussion 129–30

   CrossRefPubMedWeb of Science
6. 6.↵
   1. Ujiie H,
   2. Tamano Y,
   3. Sasaki K,
   4. et al

   . Is the aspect ratio a reliable index for predicting the rupture of a saccular aneurysm? Neurosurgery 2001;48:495–502, discussion 502–03

   CrossRefPubMedWeb of Science
7. 7.↵
   1. Weir B,
   2. Amidei C,
   3. Kongable G,
   4. et al

   . The aspect ratio (dome/neck) of ruptured and unruptured aneurysms. J Neurosurg 2003;99:447–51

   CrossRefPubMedWeb of Science
8. 8.↵
   1. Cebral JR,
   2. Castro MA,
   3. Burgess JE,
   4. et al

   . Characterization of cerebral aneurysms for assessing risk of rupture by using patient-specific computational hemodynamics models. AJNR Am J Neuroradiol 2005;26:2550–59

   Abstract/FREE Full Text
9. 9.↵
   1. Hassan T,
   2. Timofeev EV,
   3. Ezura M,
   4. et al

   . Hemodynamic analysis of an adult vein of Galen aneurysm malformation by use of 3D image-based computational fluid dynamics. AJNR Am J Neuroradiol 2003;24:1075–82

   Abstract/FREE Full Text
10. 10.↵
    1. Winn HR,
    2. Jane JA Sr.,
    3. Taylor J,
    4. et al

    . Prevalence of asymptomatic incidental aneurysms: review of 4568 arteriograms. J Neurosurg 2002;96:43–49

    CrossRefPubMedWeb of Science
11. 11.↵
    1. Hassan T,
    2. Timofeev EV,
    3. Saito T,
    4. et al

    . A proposed parent vessel geometry-based categorization of saccular intracranial aneurysms: computational flow dynamics analysis of the risk factors for lesion rupture. J Neurosurg 2005;103:662–80

    PubMedWeb of Science
12. 12.↵
    1. Castro MA,
    2. Putman CM,
    3. Cebral JR

    . Computational fluid dynamics modeling of intracranial aneurysms: effects of parent artery segmentation on intra-aneurysmal hemodynamics. AJNR Am J Neuroradiol 2006;27:1703–09

    Abstract/FREE Full Text
13. 13.↵
    1. Hoi Y,
    2. Meng H,
    3. Woodward SH,
    4. et al

    . Effects of arterial geometry on aneurysm growth: three-dimensional computational fluid dynamics study. J Neurosurg 2004;101:676–81

    CrossRefPubMedWeb of Science
14. 14.↵
    1. Shojima M,
    2. Oshima M,
    3. Takagi K,
    4. et al

    . Magnitude and role of wall shear stress on cerebral aneurysm: computational fluid dynamic study of 20 middle cerebral artery aneurysms. Stroke 2004;35:2500–05

    Abstract/FREE Full Text
15. 15.↵
    1. Qian Y,
    2. Liu JL,
    3. Itatani K,
    4. et al

    . Computational hemodynamic analysis in congenital heart disease: simulation of the Norwood procedure. Ann Biomed Eng 2010;38:2302–13. Epub 2010 Mar 2

    CrossRefPubMed
16. 16.↵
    1. Ford MD,
    2. Alperin N,
    3. Lee SH,
    4. et al

    . Characterization of volumetric flow rate waveformes in the normal internal carotid and vertebral arteries: Physiol Meas 2005;26:477–488. Epub 2005 Apr 29

    CrossRefPubMedWeb of Science
17. 17.↵
    1. Qian Y,
    2. Fukui K,
    3. Umezu M,
    4. et al

    . Cerebral aneurysm rupture and unrupture risk factor analysis using computational fluid dynamics technique. Interv Neuroradiol 2007;13(suppl 2):387–88
18. 18.↵
    1. Qian Y,
    2. Harada T,
    3. Fukui K,
    4. et al

    . Hemodynamic analysis of cerebral aneurysm and stenosed carotid bifurcation using computational fluid dynamics technique. Lecture Notes in Computer Science 2007;4689:292–99

    CrossRef
19. 19.↵
    1. Pekkan K,
    2. Kitajima HD,
    3. de Zelicourt D,
    4. et al

    . Total cavopulmonary connection flow with functional left pulmonary artery stenosis: angioplasty and fenestration in vitro. Circulation 2005;112:3264–71

    Abstract/FREE Full Text
20. 20.↵
    1. Meng H,
    2. Wang Z,
    3. Hoi Y,
    4. et al

    . Complex hemodynamics at the apex of an arterial bifurcation induces vascular remodeling resembling cerebral aneurysm initiation. Stroke 2007;38:1924–31

    Abstract/FREE Full Text
21. 21.↵
    1. Holzapfel GA,
    2. Ogden RW

    1. Oshima M,
    2. Torii R,
    3. Takagi T

    . Image-based simulation of blood flow and arterial wall interaction for cerebral aneurysms. In: Holzapfel GA, Ogden RW , eds. Mechanics of Biological Tissue Part III. Berlin, Germany: Springer-Verlag; 2006:323–35
22. 22.↵
    1. Kadirvel R,
    2. Ding YH,
    3. Dai D,
    4. et al

    . The influence of hemodynamic forces on biomarkers in the walls of elastase-induced aneurysms in rabbits. Neuroradiology 2007;49:1041–53

    CrossRefPubMedWeb of Science
23. 23.↵
    1. Ahmed S,
    2. Šutalo ID,
    3. Kavnoudias H,
    4. et al

    . Fluid structure interaction modelling of a patient specific cerebral aneurysm: effect of hypertension and modulus of elasticity. In: Proceedings of the 16th Australasian Fluid Mechanics Conference, Gold Coast, Queensland, Australia. December 2–7, 2007