Additional Value of Intra-Aneurysmal Hemodynamics in Discriminating Ruptured versus Unruptured Intracranial Aneurysms

REFERENCES

1. 1.↵
   2. Rinkel GJ,
   3. Djibuti M,
   4. Algra A, et al

   . Prevalence and risk of rupture of intracranial aneurysms: a systematic review. Stroke 1998;29:251–56

   Abstract/FREE Full Text
2. 2.↵
   2. Brisman JL,
   3. Song JK,
   4. Newell DW

   . Cerebral aneurysms. N Engl J Med 2006;355:928–39

   CrossRefPubMedWeb of Science
3. 3.↵
   2. Wiebers DO,
   3. Whisnant JP,
   4. Huston J 3rd., et al

   ; International Study of Unruptured Intracranial Aneurysms Investigators. Unruptured intracranial aneurysms: natural history, clinical outcome, and risks of surgical and endovascular treatment. Lancet 2003;362:103–10

   CrossRefPubMedWeb of Science
4. 4.↵
   2. Greving JP,
   3. Wermer MJ,
   4. Brown RD Jr., et al

   . Development of the PHASES score for prediction of risk of rupture of intracranial aneurysms: a pooled analysis of six prospective cohort studies. Lancet Neurol 2014;13:59–66

   CrossRefPubMed
5. 5.↵
   2. Wermer MJ,
   3. van der Schaaf IC,
   4. Algra A, 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
6. 6.↵
   2. Forget TR Jr.,
   3. Benitez R,
   4. Veznedaroglu E, et al

   . A review of size and location of ruptured intracranial aneurysms. Neurosurgery 2001;49:1322–25; discussion 1325–26

   CrossRefPubMedWeb of Science
7. 7.↵
   2. Miura Y,
   3. Ishida F,
   4. Umeda Y, et al

   . Low wall shear stress is independently associated with the rupture status of middle cerebral artery aneurysms. Stroke 2013;44:519–21

   Abstract/FREE Full Text
8. 8.↵
   2. Cebral JR,
   3. Mut F,
   4. Weir J, et al

   . Association of hemodynamic characteristics and cerebral aneurysm rupture. AJNR Am J Neuroradiol 2011;32:264–70

   Abstract/FREE Full Text
9. 9.↵
   2. Cebral JR,
   3. Castro MA,
   4. Burgess JE, 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
10. 10.↵
    2. Xiang J,
    3. Natarajan SK,
    4. Tremmel M, et al

    . Hemodynamic-morphologic discriminants for intracranial aneurysm rupture. Stroke 2011;42:144–52

    Abstract/FREE Full Text
11. 11.↵
    2. Schneiders JJ,
    3. Ferns SP,
    4. van Ooij P, et al

    . Comparison of phase-contrast MR imaging and endovascular sonography for intracranial blood flow velocity measurements. AJNR Am J Neuroradiol 2012;33:1786–90

    Abstract/FREE Full Text
12. 12.↵
    2. Radaelli AG,
    3. Augsburger L,
    4. Cebral JR, et al

    . Reproducibility of haemodynamical simulations in a subject-specific stented aneurysm model: a report on the Virtual Intracranial Stenting Challenge 2007. J Biomech 2008;41:2069–81

    CrossRefPubMedWeb of Science
13. 13.↵
    2. Venugopal P,
    3. Valentino D,
    4. Schmitt H, et al

    . Sensitivity of patient-specific numerical simulation of cerebral aneurysm hemodynamics to inflow boundary conditions. J Neurosurg 2007;106:1051–60

    CrossRefPubMed
14. 14.↵
    2. Marzo A,
    3. Singh P,
    4. Larrabide I, et al

    . Computational hemodynamics in cerebral aneurysms: the effects of modeled versus measured boundary conditions. Ann Biomed Eng 2011;39:884–96

    CrossRefPubMed
15. 15.↵
    2. Jansen IG,
    3. Schneiders JJ,
    4. Potters WV, et al

    . Generalized versus patient-specific inflow boundary conditions in computational fluid dynamics simulations of cerebral aneurysmal hemodynamics. AJNR Am J Neuroradiol 2014;35:1543–48

    Abstract/FREE Full Text
16. 16.↵
    2. van Ooij P,
    3. Schneiders JJ,
    4. Marquering HA, et al

    . 3D cine phase-contrast MRI at 3T in intracranial aneurysms compared with patient-specific computational fluid dynamics. AJNR Am J Neuroradiol 2013;34:1785–91

    Abstract/FREE Full Text
17. 17.↵
    2. Piccinelli M,
    3. Veneziani A,
    4. Steinman DA, et al

    . A framework for geometric analysis of vascular structures: application to cerebral aneurysms. IEEE Trans Med Imaging 2009;28:1141–55

    CrossRefPubMedWeb of Science
18. 18.↵
    2. Schneiders JJ,
    3. Marquering HA,
    4. Antiga L, et al

    . Intracranial aneurysm neck size overestimation with 3D rotational angiography: the impact on intra-aneurysmal hemodynamics simulated with computational fluid dynamics. AJNR Am J Neuroradiol 2013;34:121–28

    Abstract/FREE Full Text
19. 19.↵
    2. Cebral JR,
    3. Castro MA,
    4. Appanaboyina S, et al

    . Efficient pipeline for image-based patient-specific analysis of cerebral aneurysm hemodynamics: technique and sensitivity. IEEE Trans Med Imaging 2005;24:457–67

    CrossRefPubMedWeb of Science
20. 20.↵
    2. de Rooij NK,
    3. Velthuis BK,
    4. Algra A, et al

    . Configuration of the circle of Willis, direction of flow, and shape of the aneurysm as risk factors for rupture of intracranial aneurysms. J Neurol 2009;256:45–50

    CrossRefPubMedWeb of Science
21. 21.↵
    2. Dhar S,
    3. Tremmel M,
    4. Mocco J, et al

    . Morphology parameters for intracranial aneurysm rupture risk assessment. Neurosurgery 2008;63:185–96; discussion 196–97

    CrossRefPubMedWeb of Science
22. 22.↵
    2. Cebral JR,
    3. Raschi M

    . Suggested connections between risk factors of intracranial aneurysms: a review. Ann Biomed Eng 2013;41:1366–83

    CrossRefPubMed
23. 23.↵
    2. Beck J,
    3. Rohde S,
    4. el Beltagy M, et al

    . Difference in configuration of ruptured and unruptured intracranial aneurysms determined by biplanar digital subtraction angiography. Acta Neurochir (Wien) 2003;145:861–65

    CrossRefPubMedWeb of Science
24. 24.↵
    2. Morita A,
    3. Kirino T,
    4. Hashi K, et al

    ; UCAS Japan Investigators. The natural course of unruptured cerebral aneurysms in a Japanese cohort. N Engl J Med 2012;366:2474–82

    CrossRefPubMedWeb of Science
25. 25.↵
    2. Schneiders JJ,
    3. Marquering HA,
    4. van den Berg R, et al

    . Rupture-associated changes of cerebral aneurysm geometry: high-resolution 3D imaging before and after rupture. AJNR Am J Neuroradiol 2014;35:1358–62

    Abstract/FREE Full Text
26. 26.↵
    2. Rahman M,
    3. Ogilvy CS,
    4. Zipfel GJ, et al

    . Unruptured cerebral aneurysms do not shrink when they rupture: multicenter collaborative aneurysm study group. Neurosurgery 2011;68:155–60; discussion 160–61

    CrossRefPubMedWeb of Science
27. 27.↵
    2. Baharoglu MI,
    3. Lauric A,
    4. Gao BL, et al

    . Identification of a dichotomy in morphological predictors of rupture status between sidewall- and bifurcation-type intracranial aneurysms. J Neurosurg 2012;116:871–81

    CrossRefPubMedWeb of Science
28. 28.↵
    2. Dempere-Marco L,
    3. Oubel E,
    4. Castro M, et al

    . CFD analysis incorporating the influence of wall motion: application to intracranial aneurysms. Med Image Comput Comput Assist Interv 2006;9(pt 2):438–45

    PubMed
29. 29.↵
    2. Valen-Sendstad K,
    3. Steinman DA

    . Mind the gap: impact of computational fluid dynamics solution strategy on prediction of intracranial aneurysm hemodynamics and rupture status indicators. AJNR Am J Neuroradiol 2014;35:536–43

    Abstract/FREE Full Text
30. 30.↵
    2. Sonobe M,
    3. Yamazaki T,
    4. Yonekura M, et al

    . Small unruptured intracranial aneurysm verification study: SUAVe study, Japan. Stroke 2010;41:1969–77

    Abstract/FREE Full Text
31. 31.↵
    2. Ishibashi T,
    3. Murayama Y,
    4. Urashima M, et al

    . Unruptured intracranial aneurysms: incidence of rupture and risk factors. Stroke 2009;40:313–16

    Abstract/FREE Full Text