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Interdependencies of aortic arch secondary flow patterns, geometry, and age analysed by 4-dimensional phase contrast magnetic resonance imaging at 3 Tesla

  • Magnetic Resonance
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Abstract

Objective

It was the aim to analyse the impact of age, aortic arch geometry, and size on secondary flow patterns such as helix and vortex flow derived from flow-sensitive magnetic resonance imaging (4D PC-MRI).

Methods

62 subjects (age range = 20–80 years) without circumscribed pathologies of the thoracic aorta (ascending aortic (AAo) diameter: 3.2 ± 0.6 cm [range 2.2–5.1]) were examined by 4D PC-MRI after IRB-approval and written informed consent. Blood flow visualisation based on streamlines and time-resolved 3D particle traces was performed. Aortic diameter, shape (gothic, crook-shaped, cubic), angle, and age were correlated with existence and extent of secondary flow patterns (helicity, vortices); statistical modelling was performed.

Results

Helical flow was the typical pattern in standard crook-shaped aortic arches. With altered shapes and increasing age, helicity was less common. AAo diameter and age had the highest correlation (r = 0.69 and 0.68, respectively) with number of detected vortices. None of the other arch geometric or demographic variables (for all, P ≥ 0.177) improved statistical modelling.

Conclusion

Substantially different secondary flow patterns can be observed in the normal thoracic aorta. Age and the AAo diameter were the parameters correlating best with presence and amount of vortices. Findings underline the importance of age- and geometry-matched control groups for haemodynamic studies.

Key Points

Secondary blood flow patterns (helices, vortices) are commonly observed in the aorta

Secondary flow patterns predominantly depend on patient age and aortic diameter

Geometric factors show a lesser impact on blood flow patterns than age and diameter

Future analyses of flow patterns should incorporate age- and diameter dependencies

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References

  1. Hager A, Kaemmerer H, Rapp-Bernhardt U et al (2002) Diameters of the thoracic aorta throughout life as measured with helical computed tomography. J Thorac Cardiovasc Surg 123:1060–1066

    Article  PubMed  Google Scholar 

  2. Itani Y, Watanabe S, Masuda Y et al (2002) Measurement of aortic diameters and detection of asymptomatic aortic aneurysms in a mass screening program using a mobile helical computed tomography unit. Hear Vessel 16:42–45

    Article  Google Scholar 

  3. Mao SS, Ahmadi N, Shah B et al (2008) Normal thoracic aorta diameter on cardiac computed tomography in healthy asymptomatic adults: impact of age and gender. Acad Radiol 15:827–834

    Article  PubMed  Google Scholar 

  4. Malek AM, Alper SL, Izumo S (1999) Haemodynamic shear stress and its role in atherosclerosis. Jama 282:2035–2042

    Article  CAS  PubMed  Google Scholar 

  5. Davies PF (1995) Flow-mediated endothelial mechanotransduction. Physiol Rev 75:519–560

    CAS  PubMed  Google Scholar 

  6. Langille BL, O’Donnell F (1986) Reductions in arterial diameter produced by chronic decreases in blood flow are endothelium-dependent. Science 231:405–407

    Article  CAS  PubMed  Google Scholar 

  7. Steinman DA, Taylor CA (2005) Flow imaging and computing: large artery haemodynamics. Ann Biomed Eng 33:1704–1709

    Article  PubMed  Google Scholar 

  8. Moran PR (1982) A flow velocity zeugmatographic interlace for NMR imaging in humans. Magn Reson Imaging 1:197–203

    Article  PubMed  Google Scholar 

  9. Bryant DJ, Payne JA, Firmin DN et al (1984) Measurement of flow with NMR imaging using a gradient pulse and phase difference technique. J Comput Assist Tomogr 8:588–593

    Article  CAS  PubMed  Google Scholar 

  10. Wigstrom L, Sjoqvist L, Wranne B (1996) Temporally resolved 3D phase-contrast imaging. Magn Reson Med 36:800–803

    Article  CAS  PubMed  Google Scholar 

  11. Bogren HG, Buonocore MH (1999) 4D magnetic resonance velocity mapping of blood flow patterns in the aorta in young vs. elderly normal subjects. J Magn Reson Imaging 10:861–869

    Article  CAS  PubMed  Google Scholar 

  12. Bogren HG, Buonocore MH, Valente RJ (2004) Four-dimensional magnetic resonance velocity mapping of blood flow patterns in the aorta in patients with atherosclerotic coronary artery disease compared to age-matched normal subjects. J Magn Reson Imaging 19:417–427

    Article  PubMed  Google Scholar 

  13. Kilner PJ, Yang GZ, Mohiaddin RH et al (1993) Helical and retrograde secondary flow patterns in the aortic arch studied by three-directional magnetic resonance velocity mapping. Circulation 88:2235–2247

    CAS  PubMed  Google Scholar 

  14. Markl M, Harloff A, Bley TA et al (2007) Time-resolved 3D MR velocity mapping at 3T: improved navigator-gated assessment of vascular anatomy and blood flow. J Magn Reson Imaging 25:824–831

    Article  PubMed  Google Scholar 

  15. Walker PG, Cranney GB, Scheidegger MB et al (1993) Semiautomated method for noise reduction and background phase error correction in MR phase velocity data. J Magn Reson Imaging 3:521–530

    Article  CAS  PubMed  Google Scholar 

  16. Frydrychowicz A, Markl M, Hirtler D et al (2011) Aortic haemodynamics in patients with and without repair of aortic coarctation: in vivo analysis by 4D flow-sensitive magnetic resonance imaging. Invest Radiol 46:317–325

    PubMed  Google Scholar 

  17. Bogaert J, Gewillig M, Rademakers F et al (1995) Transverse arch hypoplasia predisposes to aneurysm formation at the repair site after patch angioplasty for coarctation of the aorta. J Am Coll Cardiol 26:521–527

    Article  CAS  PubMed  Google Scholar 

  18. Ou P, Celermajer DS, Mousseaux E et al (2007) Vascular remodeling after “successful” repair of coarctation: impact of aortic arch geometry. J Am Coll Cardiol 49:883–890

    Article  PubMed  Google Scholar 

  19. Klipstein RH, Firmin DN, Underwood SR et al (1987) Blood flow patterns in the human aorta studied by magnetic resonance. Br Heart J 58:316–323

    Article  CAS  PubMed  Google Scholar 

  20. Mohiaddin RH, Yang GZ, Kilner PJ et al (1994) Visualisation of flow by vector analysis of multidirectional cine MR velocity mapping. J Comput Assist Tomogr 18:383–392

    Article  CAS  PubMed  Google Scholar 

  21. Bogren HG, Mohiaddin RH, Kilner PJ et al (1997) Blood flow patterns in the thoracic aorta studied with three-directional MR velocity mapping: the effects of age and coronary artery disease. J Magn Reson Imaging 7:784–793

    Article  CAS  PubMed  Google Scholar 

  22. Kvitting JP, Ebbers T, Wigstrom L et al (2004) Flow patterns in the aortic root and the aorta studied with time-resolved, 3-dimensional, phase-contrast magnetic resonance imaging: implications for aortic valve-sparing surgery. J Thorac Cardiovasc Surg 127:1602–1607

    Article  PubMed  Google Scholar 

  23. Markl M, Draney MT, Hope MD et al (2004) Time-resolved 3-dimensional velocity mapping in the thoracic aorta: visualisation of 3-directional blood flow patterns in healthy volunteers and patients. J Comput Assist Tomogr 28:459–468

    Article  PubMed  Google Scholar 

  24. Mohiaddin RH, Kilner PJ, Rees S, Longmore DB (1993) Magnetic resonance volume flow and jet velocity mapping in aortic coarctation. J Am Coll Cardiol 22:1515–1521

    Article  CAS  PubMed  Google Scholar 

  25. Hope TA, Markl M, Wigstrom L, Alley MT, Miller DC, Herfkens RJ (2007) Comparison of flow patterns in ascending aortic aneurysms and volunteers using four-dimensional magnetic resonance velocity mapping. J Magn Reson Imaging 26:1471–1479

    Article  PubMed  Google Scholar 

  26. Frydrychowicz A, Arnold R, Hirtler D et al (2008) Multidirectional flow analysis by cardiovascular magnetic resonance in aneurysm development following repair of aortic coarctation. J Cardiovasc Magn Reson 10:30

    Article  PubMed  Google Scholar 

  27. Weigang E, Kari FA, Beyersdorf F et al (2008) Flow-sensitive four-dimensional magnetic resonance imaging: flow patterns in ascending aortic aneurysms. Eur J Cardiothorac Surg 34:11–16

    Article  PubMed  Google Scholar 

  28. Markl M, Arnold R, Hirtler D et al (2009) Three-dimensional flow characteristics in aortic coarctation and poststenotic dilatation. J Comput Assist Tomogr 33:776–778

    Article  PubMed  Google Scholar 

  29. Morbiducci U, Ponzini R, Rizzo G et al (2009) In vivo quantification of helical blood flow in human aorta by time-resolved three-dimensional cine phase contrast magnetic resonance imaging. Ann Biomed Eng 37:516–531

    Article  PubMed  Google Scholar 

  30. Friman O, Hennemuth A, Harloff A, Bock J, Markl M, Peitgen H-O (2010) Probabilistic flow connectivity mapping. Proc Intl Soc Mag Reson Med 18:1334

    Google Scholar 

Download references

Acknowledgement

Dr. Markl received funding from “Deutsche Forschungsgemeinschaft” (DFG) Grant # MA 2383/5-1 and “Bundesministerium für Bildung und Forschung” (BMBF) Grant # 01EV0706. Dr. Frydrychowicz received an educational stipend from Bracco Diagnostics. Parts of the study were presented at the Deutscher Röntgenkongress 2008, Berlin (Germany) and the Joint meeting of ISMRM and ESMRMB May 2007, Berlin (Germany).

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Correspondence to Alex Frydrychowicz.

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Frydrychowicz, A., Berger, A., Munoz del Rio, A. et al. Interdependencies of aortic arch secondary flow patterns, geometry, and age analysed by 4-dimensional phase contrast magnetic resonance imaging at 3 Tesla. Eur Radiol 22, 1122–1130 (2012). https://doi.org/10.1007/s00330-011-2353-6

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  • DOI: https://doi.org/10.1007/s00330-011-2353-6

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