[1] Meinel FG, Wichmann JL, Schoepf UJ, et al. Global quantification of left ventricular myocardial perfusion at dynamic CT imaging:Prognostic value[J]. J Cardiovasc Comput Tomogr, 2017, 11(1):16-24. [2] Chang C, Ye B, Xie W, et al. The diagnosis of silent myocardial ischemia. Motion-frozen (or morphing) myocardial perfusion imaging[J]. Hell J Nucl Med, 2016, 19(3):196-199. [3] 李娜, 陈松, 王晓蓓, 等. 99Tcm-替曲膦在冠心病诊断中的应用[J]. 中华核医学与分子影像杂志, 2012, 32(5):337-340. [4] Bavishi C, Argulian E, Chatterjee S, et al. CACS and the frequency of stress-induced myocardial ischemia during MPI:a meta-analysis[J]. JACC Cardiovasc Imag, 2016, 9(5):580-589. [5] 中华医学会心血管病学分会,中华心血管病杂志编辑委员会. 慢性稳定性心绞痛诊断与治疗指南[J]. 中华心血管病杂志,2007,35(3):195-206. [6] 中华医学会糖尿病学分会.中国2型糖尿病防治指南(2013年版)[J].中华糖尿病杂志,2014,6(7):447-498. [7] Gräni C, Benz DC, Possner M, et al. Fused cardiac hybrid imaging with coronary computed tomography angiography and positron emission tomography in patients with complex coronary artery anomalies[J]. Congenit Heart Dis, 2017, 12(1):49-57. [8] Lecchi M, Malaspina S, Scabbio C, et al.Myocardial perfusion scintigraphy dosimetry:optimal use of SPECT and SPECT/CT technologies in stress-first imaging protocol[J]. Clin Transl Imaging, 2016, 4(6):491-498. [9] Delgado C, Vázquez M, Oca R, et al.Myocardial ischemia evaluation with dual-source computed tomography:comparison with magnetic resonance imaging[J]. Rev Esp Cardiol (Engl Ed), 2013, 66(11):864-870. [10] Yi Y, Jin ZY, Wang YN.Advances in myocardial CT perfusion imaging technology[J]. Am J Transl Res, 2016, 8(11):4523-4531. [11] Koh AS, Lye WK, Chia SY, et al. Long-Term Prognostic Value of Appropriate Myocardial Perfusion Imaging[J]. Am J Cardiol, 2017, 119(12):1957-1962. [12] Kim SM, Kim YN, Choe YH.Adenosine-stress dynamic myocardial perfusion imaging using 128-slice dual-source CT:optimization of the CT protocol to reduce the radiation dose[J]. Int J Cardiovasc Imaging, 2013, 29(4):875-884. [13] Engbers EM, Timmer JR, Mouden M, et al. Changes in cardiovascular medication after coronary artery calcium scanning and normal single photon emission computed tomography myocardial perfusion imaging in symptomatic patients[J]. Am Heart J, 2017, 186:56-62. [14] Dweck MR, Williams MC, Moss AJ, et al. Computed tomography and cardiac magnetic resonance in ischemic heart disease[J]. J Am Coll Cardiol, 2016, 68(20):2201-2216. [15] Koonce JD, Vliegenthart R, Schoepf UJ, et al. Accuracy of dual-energy computed tomography for the measurement of iodine concentration using cardiac CT protocols:validation in a phantom model[J]. Eur Radiol, 2014, 24(2):512-518. [16] Budoff MJ, Li D, Kazerooni EA, et al. Diagnostic accuracy of noninvasive 64-row computed tomographic coronary angiography (CCTA) compared with myocardial perfusion imaging (MPI):The PICTURE Study, a prospective multicenter trial[J]. Acad Radiol, 2017, 24(1):22-29. [17] Ziadi MC. Myocardial flow reserve (MFR) with positron emission tomography (PET)/computed tomography (CT):clinical impact in diagnosis and prognosis[J]. Cardiovasc Diagn Ther, 2017, 7(2):206-218. [18] Budoff MJ, Kalia N, Cole J, et al. Diagnostic accuracy of visipaque enhanced coronary computed tomographic angiography:a prospective multicenter trial[J]. Coron Artery Dis, 2017, 28(1):52-56. [19] Kim SM, Choi JH, Chang SA, et al. Additional value of adenosine-stress dynamic CT myocardial perfusion imaging in the reclassification of severity of coronary artery stenosis at coronary CT angiography[J]. Clin Radiol, 2013, 68(12):e659-e668. [20] Cantoni V, Green R, Acampa W, et al. Long-term prognostic value of stress myocardial perfusion imaging and coronary computed tomography angiography:A meta-analysis[J]. J Nucl Cardiol, 2016, 23(2):185-197. |