Skip to main content

Assessment of Hemodynamics in DeBakey Type III Aortic Dissections for Planning Surgical Interventions and to Understand Post-Treatment Changes

  • Chapter
  • First Online:
Computational Surgery and Dual Training

Abstract

Aortic dissections are a lethal disease affecting thousands of people in the USA each year. This chapter illustrates the application of personalized computational fluid dynamics (CFD) in understanding the hemodynamics of DeBakey type III/Stanford B aortic dissections (dissections confined to the descending aorta), pre- and post-surgical interventions, and simulating hemodynamic changes as a pretreatment planning tool. In this regard, CFD simulations using patient-derived data may be useful for gaining a conceptual understanding of the hemodynamic factors for a particular aortic dissection before intervention and how these factors change with treatment or disease progression. CFD simulations have a potential role in evaluating a number of scenarios and configurations, guiding therapy, and providing a basis for outcome prediction.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Di Martino ES, Guadagni G, Fumero A, Ballerini G, Spirito R, Biglioli P, Redaelli A (2001) Fluid-structure interaction within realistic three-dimensional models of the aneurysmatic aorta as a guidance to assess the risk of rupture of the aneurysm. Med Eng Phys 23:647–655

    Article  Google Scholar 

  2. Foutrakis GN, Yonas H, Sclabassi RJ (1999) Saccular aneurysm formation in curved and bifurcating arteries. AJNR Am J Neuroradiol 20:1309–1317

    Google Scholar 

  3. Leuprecht A, Perktold K, Kozerke S, Boesiger P (2002) Combined CFD and MRI study of blood flow in a human ascending aorta model. Biorheology 39:425–429

    Google Scholar 

  4. Long Q, Xu XY, Bourne M, Griffith TM (2000) Numerical study of blood flow in an anatomically realistic aorto-iliac bifurcation generated from MRI data. Magn Reson Med 43:565–576

    Article  Google Scholar 

  5. Steinman DA, Milner JS, Norley CJ, Lownie SP, Holdsworth DW (2003) Image-based computational simulation of flow dynamics in a giant intracranial aneurysm. AJNR Am J Neuroradiol 24:559–566

    Google Scholar 

  6. Wood NB, Weston SJ, Kilner PJ, Gosman AD, Firmin DN (2001) Combined MR imaging and CFD simulation of flow in the human descending aorta. J Magn Reson Imaging 13:699–713

    Article  Google Scholar 

  7. Nienaber CA, Fattori R, Mehta RH, Richartz BM, Evangelista A, Petzsch M, Cooper JV, Januzzi JL, Ince H, Sechtem U, Bossone E, Fang J, Smith DE, Isselbacher EM, Pape LA, Eagle KA (2004) Gender-related differences in acute aortic dissection. Circulation 109:3014–3021

    Article  Google Scholar 

  8. Siegal EM (2006) Acute aortic dissection. J Hosp Med 1:94–105

    Article  Google Scholar 

  9. Berstein MA, King KF, Zhou XJ (2004) Handbook of MRI pulse sequences. Elsevier/Academic, Burlington MA, San Diego CA, London UK

    Google Scholar 

  10. Zhao M, Charbel FT, Alperin N, Loth F, Clark ME (2000) Improved phase-contrast flow quantification by three-dimensional vessel localization. Magn Reson Imaging 18:697–706

    Article  Google Scholar 

  11. Karmonik C, Bismuth J, Shah DJ, Anya-Ayala JE, Davies MG, Lumsden AB (2010) Quantification of intra-arterial septum motion in type III B aortic dissections with dynamic MRI. In: Annual meeting of the society of clinical vascular surgery, Scottsdale, 2010

    Google Scholar 

  12. Karmonik C, Bismuth J, Shah DJ, Anya-Ayala JE, Davies MG, Lumsden AB (2010) Aortic flow rates and intra-arterial septum mobility in type B aortic dissections quantified with phase contrast magnetic resonance imaging. In: Annual meeting of the society of vascular medicine, Cleveland, 2010, p 25

    Google Scholar 

  13. Karmonik C, Bismuth J, Davies MG, Lumsden AB (2009) Computational fluid dynamics as a tool for visualizing hemodynamic flow patterns. Methodist Debakey Cardiovasc J 5:26–33

    Google Scholar 

  14. Qiao A, Liu Y (2008) Medical application oriented blood flow simulation. Clin Biomech (Bristol, Avon) 23(Suppl 1):S130–S136

    Article  MathSciNet  Google Scholar 

  15. Tsai TT, Schlicht MS, Khanafer K, Bull JL, Valassis DT, Williams DM, Berguer R, Eagle KA (2008) Tear size and location impacts false lumen pressure in an ex vivo model of chronic type B aortic dissection. J Vasc Surg 47:844–851

    Article  Google Scholar 

  16. Tsai TT, Evangelista A, Nienaber CA, Myrmel T, Meinhardt G, Cooper JV, Smith DE, Suzuki T, Fattori R, Llovet A, Froehlich J, Hutchison S, Distante A, Sundt T, Beckman J, Januzzi JL Jr, Isselbacher EM, Eagle KA (2007) Partial thrombosis of the false lumen in patients with acute type B aortic dissection. N Engl J Med 357:349–359

    Article  Google Scholar 

  17. Hose R, Black MM (1995) Prosthetic heart valves – the integration of analysis with design. J Heart Valve Dis 4(Suppl 1):S50–S54

    Google Scholar 

  18. Katz IM, Martonen TB (1996) Three-dimensional fluid particle trajectories in the human larynx and trachea. J Aerosol Med 9:513–520

    Article  Google Scholar 

  19. Xu XY, Collins MW (1990) A review of the numerical analysis of blood flow in arterial bifurcations. Proc Inst Mech Eng H 204:205–216

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Christof Karmonik .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer New York

About this chapter

Cite this chapter

Karmonik, C., Bismuth, J., Davies, M.G., Shah, D.J., Lumsden, A.B. (2014). Assessment of Hemodynamics in DeBakey Type III Aortic Dissections for Planning Surgical Interventions and to Understand Post-Treatment Changes. In: Garbey, M., Bass, B., Berceli, S., Collet, C., Cerveri, P. (eds) Computational Surgery and Dual Training. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-8648-0_15

Download citation

  • DOI: https://doi.org/10.1007/978-1-4614-8648-0_15

  • Published:

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4614-8647-3

  • Online ISBN: 978-1-4614-8648-0

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics