Effects of respiratory motion on coronary wall MR imaging: a quantitative study of older adults

  • Kai Lin
  • Donald M. Lloyd-Jones
  • Xiaoming Bi
  • Ying Liu
  • Debiao Li
  • James C. Carr
Original Paper

Abstract

The aim of the present study is to assess the effects of respiratory motion on the image quality of two-dimensional (2D), free-breathing, black-blood coronary wall magnetic resonance (MR) imaging. This study was compliance with the HIPPA. With the approval of the institution review board, 230 asymptomatic participants, including 164 male patients (72.9 ± 4.4 years) and 66 female patients (72.4 ± 5.1 years), were recruited. Written informed consent was obtained. A 2D navigator (NAV)-gated, black-blood coronary wall MR imaging sequence was run on the left main artery, the left anterior descending artery and the right coronary artery. The drift of the location of the NAV and scan efficiency were compared between good (scored 2 or 3) and poor images (scored 1). Age, body weight, body weight index, heart rate, length of the rest period of cardiac motion, diaphragm excursion and breathing frequency were compared using a t test between the “successful” (having 2 or 3 good images) and “unsuccessful” cases (having 1 or 0 good images). A logistic regression model was applied to identify the contributors to good image quality. The drift of the NAV location and the scan efficiency were higher in the 411 good images compared with the 279 poor images. Minimal drift of the NAV location and low body weight were identified as independent predictors of good images after using a logistic regression model to adjust for multiple physiological and technical factors. The stability of respiratory motion significantly influences the image quality of 2D, free-breathing, black-blood coronary wall MR imaging.

Keywords

Coronary wall MR imaging Respiratory motion Effects 

References

  1. 1.
    Roger VL, Go AS, Lloyd-Jones DM et al (2012) Heart disease and stroke statistics–2012 update: a report from the american heart association. Circulation 125:e2–e220PubMedCrossRefGoogle Scholar
  2. 2.
    Nicholls SJ, Ballantyne CM, Barter PJ et al (2011) Effect of two intensive statin regimens on progression of coronary disease. N Engl J Med 365:2078–2087PubMedCrossRefGoogle Scholar
  3. 3.
    Fayad ZA, Mani V, Fuster V (2012) The time has come for clinical cardiovascular trials with plaque characterization as an endpoint. Eur Heart J 33:160–161PubMedCrossRefGoogle Scholar
  4. 4.
    Fayad ZA, Fuster V, Fallon JT et al (2000) Noninvasive in vivo human coronary artery lumen and wall imaging using black-blood magnetic resonance imaging. Circulation 102:506–510PubMedCrossRefGoogle Scholar
  5. 5.
    Miao C, Chen S, Macedo R et al (2009) Positive remodeling of the coronary arteries detected by magnetic resonance imaging in an asymptomatic population: MESA (multi-ethnic study of atherosclerosis). J Am Coll Cardiol 53:1708–1715PubMedCrossRefGoogle Scholar
  6. 6.
    Lin K, Lloyd-Jones DM, Liu Y, Bi X, Li D, Carr JC (2012) Potential quantitative magnetic resonance imaging biomarkers of coronary remodeling in older hypertensive patients. Arterioscler Thromb Vasc Biol 32:1742–1747PubMedCrossRefGoogle Scholar
  7. 7.
    Taylor AM, Jhooti P, Firmin DN, Pennell DJ (1999) Automated monitoring of diaphragm end-expiratory position for real-time navigator echo MR coronary angiography. J Magn Reson Imaging 9:395–401PubMedCrossRefGoogle Scholar
  8. 8.
    Taylor AM, Jhooti P, Wiesmann F, Keegan J, Firmin DN, Pennell DJ (1997) MR navigator-echo monitoring of temporal changes in diaphragm position: implications for MR coronary angiography. J Magn Reson Imaging 7:629–636PubMedCrossRefGoogle Scholar
  9. 9.
    Malayeri AA, Macedo R, Li D et al (2009) Coronary vessel wall evaluation by magnetic resonance imaging in the multi-ethnic study of atherosclerosis: determinants of image quality. J Comput Assist Tomogr 33:1–7PubMedCrossRefGoogle Scholar
  10. 10.
    Najjar SS, Scuteri A, Lakatta EG (2005) Arterial aging: is it an immutable cardiovascular risk factor? Hypertension 46:454–462PubMedCrossRefGoogle Scholar
  11. 11.
    Lin K, Bi X, Taimen K et al (2012) Coronary wall MR imaging in patients with rapid heart rates: a feasibility study of black-blood steady-state free precession (SSFP). Int J Cardiovasc Imaging 28:567–575PubMedCrossRefGoogle Scholar
  12. 12.
    Lin K, Lloyd-Jones DM, Liu Y, Bi X, Li D, Carr JC (2011) Noninvasive evaluation of coronary distensibility in older adults: a feasibility study with MR angiography. Radiology 261:771–778PubMedCrossRefGoogle Scholar
  13. 13.
    Tobin MJ, Chadha TS, Jenouri G, Birch SJ, Gazeroglu HB, Sackner MA (1983) Breathing patterns. 1. Normal subjects. Chest 84:202–205PubMedCrossRefGoogle Scholar
  14. 14.
    Wang Y, Riederer SJ, Ehman RL (1995) Respiratory motion of the heart: kinematics and the implications for the spatial resolution in coronary imaging. Magn Reson Med 33:713–719PubMedCrossRefGoogle Scholar
  15. 15.
    Bogren HG, Lantz BM, Miller RR, Mason DT (1977) Effect of respiration on cardiac motion determined by cineangiography. Implications concerning three-dimensional heart reconstruction using computer tomography. Acta Radiol Diagn Stockh 18:609–620PubMedGoogle Scholar
  16. 16.
    Jahnke C, Paetsch I, Nehrke K et al (2005) Rapid and complete coronary arterial tree visualization with magnetic resonance imaging: feasibility and diagnostic performance. Eur Heart J 26:2313–2319PubMedCrossRefGoogle Scholar
  17. 17.
    Kato S, Kitagawa K, Ishida N et al (2010) Assessment of coronary artery disease using magnetic resonance coronary angiography: a national multicenter trial. J Am Coll Cardiol 56:983–991PubMedCrossRefGoogle Scholar
  18. 18.
    Sakuma H, Ichikawa Y, Chino S, Hirano T, Makino K, Takeda K (2006) Detection of coronary artery stenosis with whole-heart coronary magnetic resonance angiography. J Am Coll Cardiol 48:1946–1950PubMedCrossRefGoogle Scholar
  19. 19.
    Sakuma H, Ichikawa Y, Suzawa N et al (2005) Assessment of coronary arteries with total study time of less than 30 minutes by using whole-heart coronary MR angiography. Radiology 237:316–321PubMedCrossRefGoogle Scholar
  20. 20.
    Short PM, Williamson PA, Lipworth BJ (2012) Effects of hydrocortisone on acute beta-adrenoceptor blocker and histamine induced bronchoconstriction. Br J Clin Pharmacol 73:717–726PubMedCrossRefGoogle Scholar
  21. 21.
    Miller JM, Rochitte CE, Dewey M et al (2008) Diagnostic performance of coronary angiography by 64-row CT. N Engl J Med 359:2324–2336PubMedCrossRefGoogle Scholar
  22. 22.
    de Bucourt M, Streitparth F, Wonneberger U, Rump J, Teichgraber U (2011) Obese patients in an open MRI at 1.0 Tesla: image quality, diagnostic impact and feasibility. Eur Radiol 21:1004–1015PubMedCrossRefGoogle Scholar
  23. 23.
    Ishida M, Schuster A, Takase S et al (2011) Impact of an abdominal belt on breathing patterns and scan efficiency in whole-heart coronary magnetic resonance angiography: comparison between the UK and Japan. J Cardiovasc Magn Reson 13:71PubMedCrossRefGoogle Scholar
  24. 24.
    McConnell MV, Khasgiwala VC, Savord BJ et al (1997) Comparison of respiratory suppression methods and navigator locations for MR coronary angiography. AJR Am J Roentgenol 168:1369–1375PubMedCrossRefGoogle Scholar
  25. 25.
    Kim WY, Astrup AS, Stuber M et al (2007) Subclinical coronary and aortic atherosclerosis detected by magnetic resonance imaging in type 1 diabetes with and without diabetic nephropathy. Circulation 115:228–235PubMedCrossRefGoogle Scholar
  26. 26.
    Stuber M, Botnar RM, Danias PG et al (1999) Double-oblique free-breathing high resolution three-dimensional coronary magnetic resonance angiography. J Am Coll Cardiol 34:524–531PubMedCrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media Dordrecht 2013

Authors and Affiliations

  • Kai Lin
    • 1
  • Donald M. Lloyd-Jones
    • 2
  • Xiaoming Bi
    • 3
  • Ying Liu
    • 1
  • Debiao Li
    • 1
    • 4
  • James C. Carr
    • 1
  1. 1.Department of RadiologyNorthwestern UniversityChicagoUSA
  2. 2.Department of Preventive MedicineNorthwestern UniversityChicagoUSA
  3. 3.Cardiovascular MR R&DSiemens HealthcareChicagoUSA
  4. 4.Cedars Sinai Medical CenterLos AngelesUSA

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