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A pilot study on diagnosis of coronary artery disease using computed tomography first-pass myocardial perfusion imaging at rest

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Abstract

Background

Although computed tomography coronary angiography (CTCA) can identify coronary stenosis, little data exists on the ability of multislice computed tomography (MSCT) to detect myocardial perfusion defects at rest.

Methods

In 33 patients with diagnosed or suspected coronary artery disease (CAD), CTCA using retrospective electrocardiography (ECG) gating at rest and invasive coronary angiography (ICA) was performed. The 2D myocardial images were reconstructed in diastolic and systolic phases using the same raw data for CTCA. CT values of the myocardium were used as an estimate of myocardial enhancement, which were shown by color mapping. Myocardial ischemia was defined as a pattern of transient endocardial hypo-enhancement at systole and normal enhancement at diastole. The results of ICA were taken as the reference standard.

Results

When a diameter reduction of more than 50% in ICA was used as diagnostic criteria of CAD, the sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of CT first-pass myocardial perfusion imaging (MPI) at rest were 0.85, 0.67, 0.92, and 0.50 per patient, respectively, and 0.58, 0.93, 0.85, and 0.76 per vessel, respectively.

Conclusions

CT first-pass MPI at rest could detect CAD patients, which could become a practical and convenient way to detect ischemia, consequently offering the ability for MSCT to act as a “one stop shop” for the diagnosis of CAD.

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References

  • Austen, W.G., Edwards, J.E., Frye, R.L., Gensini, G.G., Gott, V.L., Griffith, L.S., McGoon, D.C., Murphy, M.L., Roe, B.B., 1975. A reporting system on patients evaluated for coronary artery disease: report of the Ad-Hoc Committee for Grading of Coronary Artery Disease, Council on Cardiovascular Surgery. Circulation, 51(4 Suppl.):5–40.

    PubMed  CAS  Google Scholar 

  • Blankstein, R., Shturman, L.D., Rogers, I.S., Rocha-Filho, J.A., Okada, D.R., Sarwar, A., Soni, A.V., Bezerra, H., Ghoshhajra, B.B., Petranovic, M., et al., 2009. Adenosine-induced stress myocardial perfusion imaging using dual-source cardiac computed tomography. J. Am. Coll. Cardiol., 54(12):1072–1084. [doi:10.1016/j.jacc.2009.06.014]

    Article  PubMed  Google Scholar 

  • Cerqueira, M.D., Weissman, N.J., Dilsizian, V., Jacobs, A.K., Kaul, S., Laskey, W.K., Pennell, D.J., Rumberger, J.A., Ryan, T., Verani, M.S., 2002. Standardized myocardial segmentation and nomenclature for tomographic imaging of the heart: a statement for healthcare professionals from the Cardiac Imaging Committee of the Council on Clinical Cardiology of the American Heart Association. Int. J. Cardiovasc. Imaging, 18(1):539–542.

    PubMed  Google Scholar 

  • Chilian, W.M., 1991. Microvascular pressures and resistances in the left ventricular subepicardium and subendocardium. Circ. Res., 69(3):561–570.

    PubMed  CAS  Google Scholar 

  • Ferencik, M., Nomura, C.H., Maurovich-Horvat, P., Hoffmann, U., Pena, A.J., Cury, R.C., Abbara, S., Nieman, K., Fatima, U., Achenbach, S., et al., 2006. Quantitative parameters of image quality in 64-slice computed tomography angiography of the coronary arteries. Eur. J. Radiol., 57(3):373–379. [doi:10.1016/j.ejrad.2005.12.023]

    Article  PubMed  Google Scholar 

  • George, R.T., Silva, C., Cordeiro, M.A., DiPaula, A., Thompson, D.R., McCarthy, W.F., Ichihara, T., Lima, J.A., Lardo, A.C., 2006. Multidetector computed tomography myocardial perfusion imaging during adenosine stress. J. Am. Coll. Cardiol., 48(1):153–160. [doi:10.1016/j.jacc.2006.04.014]

    Article  PubMed  Google Scholar 

  • George, R.T., Jerosch-Herold, M., Silva, C., Kitagawa, K., Bluemke, D.A., Lima, J.A., Lardo, A.C., 2007. Quantification of myocardial perfusion using dynamic 64-detector computed tomography. Invest. Radiol., 42(12):815–822. [doi:10.1097/RLI.0b013e318124a884]

    Article  PubMed  Google Scholar 

  • Goto, M., Flynn, A.E., Doucette, J.W., Jansen, C.M., Stork, M.M., Coggins, D.L., Muehrcke, D.D., Husseini, W.K., Hoffman, J.I., 1991. Cardiac contraction affects deep myocardial vessels predominantly. Am. J. Physiol., 261(5 Pt 2):1417–1429.

    Google Scholar 

  • Henneman, M.M., Schuijf, J.D., van Werkhoven, J.M., Pundziute, G., van der Wall, E.E., Jukema, J.W., Bax, J.J., 2008. Multi-slice computed tomography coronary angiography for ruling out suspected coronary artery disease: what is the prevalence of a normal study in a general clinical population? Eur. Heart J., 29(16):2006–2013. [doi:10.1093/eurheartj/ehn284]

    Article  PubMed  Google Scholar 

  • Iwanaga, S., Ewing, S.G., Husseini, W.K., Hoffman, J.I., 1995. Changes in contractility and afterload have only slight effects on subendocardial flow impediment. Am. J. Physiol., 269(4):1202–1212.

    Google Scholar 

  • Kido, T., Kurata, A., Higashino, H., Inoue, Y., Kanza, R.E., Okayama, H., Higaki, J., Murase, K., Mochizuki, T., 2008. Quantification of regional myocardial blood flow using first-pass multidetector-row computed tomography and adenosine triphosphate in coronary artery disease. Circ. J., 72(7):1086–1091. [doi:10.1253/circj.72.1086]

    Article  PubMed  Google Scholar 

  • Kurata, A., Mochizuki, T., Koyama, Y., Haraikawa, T., Suzuki, J., Shigematsu, Y., Higaki, J., 2005. Myocardial perfusion imaging using adenosine triphosphate stress multi-slice spiral computed tomography: alternative to stress myocardial perfusion scintigraphy. Circ. J., 69(5):550–557. [doi:10.1253/circj.69.550]

    Article  PubMed  Google Scholar 

  • Li, P., Gai, L.Y., Yang, X., Sun, Z.J., Jin, Q.H., 2010. Computed tomography angiography-guided percutaneous coronary intervention in chronic total occlusion. J. Zhejiang Univ.-Sci. B (Biomed. & Biotechnol.), 11(8): 568–574. [doi:10.1631/jzus.B1001013]

    Article  Google Scholar 

  • Meijboom, W.B., van Mieghem, C.A., van Pelt, N., Weustink, A., Pugliese, F., Mollet, N.R., Boersma, E., Regar, E., van Geuns, R.J., et al., 2008. Comprehensive assessment of coronary artery stenoses: computed tomography coronary angiography versus conventional coronary angiography and correlation with fractional flow reserve in patients with stable angina. J. Am. Coll. Cardiol., 52(8):636–643. [doi:10.1016/j.jacc.2008.05.024]

    Article  PubMed  Google Scholar 

  • Mollet, N.R., Cademartiri, F., van Mieghem, C.A., Runza, G., McFadden, E.P., Baks, T., Serruys, P.W., Krestin, G.P., de Feyter, P.J., 2005. High-resolution spiral computed tomography coronary angiography in patients referred for diagnosic conventional coronary angiography. Circulation, 112(15):2318–2323. [doi:10.1161/CIRCULATIONAHA.105.533471]

    Article  PubMed  Google Scholar 

  • Nagao, M., Matsuoka, H., Kawakami, H., Higashino, H., Mochizuki, T., Murase, K., Uemura, M., 2008. Quantification of myocardial perfusion by contrast-enhanced 64-MDCT: characterization of ischemic myocardium. Am. J. Roentgenol., 191(1):19–25. [doi:10.2214/AJR.07.2929]

    Article  Google Scholar 

  • Nagao, M., Matsuoka, H., Kawakami, H., Higashino, H., Mochizuki, T., Ohshita, A., Kohno, T., Shigemi, S., 2009. Detection of myocardial ischemia using 64-slice MDCT. Circ. J., 73(5):905–911. [doi:10.1253/circj.CJ-08-0940]

    Article  PubMed  Google Scholar 

  • Pugliese, F., Mollet, N.R., Runza, G., van Mieghem, C., Meijboom, W.B., Malagutti, P., Baks, T., Krestin, G.P., deFeyter, P.J., Cademartiri, F., 2006. Diagnostic accuracy of non-invasive 64-slice CT coronary angiography in patients with stable angina pectoris. Eur. Radiol., 16(3): 575–582. [doi:10.1007/s00330-005-0041-0]

    Article  PubMed  Google Scholar 

  • Raff, G.L., Gallagher, M.J., O’Neill, W.W., Goldstein, J.A., 2005. Diagnostic accuracy of noninvasive coronary angiography using 64-slice spiral computed tomography. J. Am. Coll. Cardiol., 46(3):552–557. [doi:10.1016/j.jacc.2005.05.056]

    Article  PubMed  Google Scholar 

  • Sabbah, H.M., Stein, P.D., 1982. Effect of acute regional ischemia on pressure in the subepicardium and subendocardium. Am. J. Physiol., 242(2):240–244.

    Google Scholar 

  • Shaw, L.J., Hachamovitch, R., Berman, D.S., Marwick, T.H., Lauer, M.S., Heller, G.V., Iskandrian, A.E., Kesler, K.L., Travin, M.I., Lewin, H.C., et al., 1999. The economic consequences of available diagnostic and prognostic strategies for the evaluation of stable angina patients: an observational assessment of the value of precatheterization ischemia. J. Am. Coll. Cardiol., 33(3):661–669. [doi:10.1016/S0735-1097(98)00606-8]

    Article  PubMed  CAS  Google Scholar 

  • Toyota, E., Fujimoto, K., Ogasawara, Y., Kajita, T., Shigeto, F., Matsumoto, T., Goto, M., Kajiya, F., 2002. Dynamic changes in three-dimensional architecture and vascular volume of transmural coronary microvasculature between diastolic- and systolic-arrested rat hearts. Circulation, 105(5):621–626. [doi:10.1161/hc0502.102964]

    Article  PubMed  Google Scholar 

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Correspondence to Lu-yue Gai.

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Wang, Q., Qin, J., Gai, Ly. et al. A pilot study on diagnosis of coronary artery disease using computed tomography first-pass myocardial perfusion imaging at rest. J. Zhejiang Univ. Sci. B 12, 485–491 (2011). https://doi.org/10.1631/jzus.B1000342

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  • DOI: https://doi.org/10.1631/jzus.B1000342

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