[1]
|
张西洲. 高原心脏病107例分析[J]. 高原医学杂志, 2008, 18(3): 16-18.
|
[2]
|
杜亚利, 郭馨云, 俞平, 魏虎来. 造血相关因子在高原红细胞增多症中的作用[J]. 医学综述, 2015, 21(15): 2703- 2706.
|
[3]
|
韩泽乾, 董红梅, 罗勇军. 高原心脏病防治研究进展[J]. 人民军医, 2017, 60(8): 822-824.
|
[4]
|
Xu, M.H., Gong, Y.S., Su, M.S., Dai, Z.Y., Dai, S.S., Bao, S.Z., Li, N., Zheng, R.Y., He, J.C., Chen, J.F. and Wang, X.T. (2011) Absence of the Adenosine A2A Receptor Confers Pulmonary Arterial Hypertension and Increased Pulmonary Vascular Remodeling in Mice. Journal of Vascular Research, 48, 171-183. https://doi.org/10.1159/000316935
|
[5]
|
缪长虹, 桂小平. 低氧性肺血管收缩的研究现状[J]. 国外医学麻醉学与复苏分册, 1995, 16(1): 4-8.
|
[6]
|
Varga-Szemes, A., Meinel, F.G., De Cecco, C.N., Fuller, S.R., Bayer, R.R. and Schoepf, U.J. (2015) CT Myocardial Perfusion Imaging. American Journal of Roentgenology, 204, 487-497. https://doi.org/10.2214/AJR.14.13546
|
[7]
|
田登锋. Revolution CT对高海拔地区2型糖尿病患者冠脉及心肌灌注研究[D]: [硕士学位论文]. 西宁: 青海大学, 2019.
|
[8]
|
Yang, D.H. and Kim, Y.H. (2017) CT Myocardial Perfusion Imaging: Current Status and Future Perspectives. The International Journal of Cardio-vascular Imaging, 33, 1009-1020. https://doi.org/10.1007/s10554-017-1102-6
|
[9]
|
Nieman, K. and Balla, S. (2020) Dynamic CT Myocardial Perfusion Imaging. Journal of Cardiovascular Computed Tomography, 14, 303-306. https://doi.org/10.1016/j.jcct.2019.09.003
|
[10]
|
Seitun, S., Castiglione Morelli, M., Budaj, I., Boccalini, S., Galletto Pregliasco, A., Valbusa, A., Cademartiri, F. and Ferro, C. (2016) Stress Computed Tomography Myocardial Perfusion Imaging: A New Topic in Cardiology. Revista Española de Cardiología (English Edition), 69, 188-200. https://doi.org/10.1016/j.recesp.2015.10.021
|
[11]
|
Bindschadler, M., Modgil, D., Branch, K.R., La Riviere, P.J. and Alessio, A.M. (2014) Comparison of Blood Flow Models and Acquisitions for Quantitative Myocardial Perfusion Esti-mation from Dynamic CT. Physics in Medicine & Biology, 59, 1533-1556. https://doi.org/10.1088/0031-9155/59/7/1533
|
[12]
|
Danad, I., Szymonifka, J., Schulman-Marcus, J. and Min, J.K. (2016) Static and Dynamic Assessment of Myocardial Perfusion by Computed Tomography. European Heart Jour-nal—Cardiovascular Imaging, 17, 836-844.
https://doi.org/10.1093/ehjci/jew044
|
[13]
|
Takx, R.A., Blomberg, B.A., El Aidi, H., Habets, J., de Jong, P.A., Nagel, E., Hoffmann, U. and Leiner, T. (2015) Diagnostic Accuracy of Stress Myocardial Perfusion Imaging Compared to Invasive Coronary Angiography with Fractional Flow Reserve Meta-Analysis. Circulation: Cardiovascular Imaging, 8, e002666.
https://doi.org/10.1161/CIRCIMAGING.114.002666
|
[14]
|
Rochitte, C.E., George, R.T., Chen, M.Y., Arbab-Zadeh, A., Dewey, M., Miller, J.M., Niinuma, H., Yoshioka, K., Kitagawa, K., Nakamori, S., Laham, R., Vavere, A.L., Cerci, R.J., Mehra, V.C., Nomura, C., Kofoed, K.F., Jinzaki, M., Kuribayashi, S., de Roos, A., Laule, M., Tan, S.Y., Hoe, J., Paul, N., Rybicki, F.J., Brinker, J.A., Arai, A.E., Cox, C., Clouse, M.E., Di Carli, M.F. and Lima, J.A. (2014) Computed Tomography Angiography and Perfusion to Assess Coronary Artery Stenosis Causing Perfusion De-fects by Single Photon Emission Computed Tomography: The CORE320 Study. European Heart Journal, 35, 1120-1130. https://doi.org/10.1093/eurheartj/eht488
|
[15]
|
George, R.T., Arbab-Zadeh, A., Miller, J.M., Kitagawa, K., Chang, H.J., Bluemke, D.A., Becker, L., Yousuf, O., Texter, J., Lardo, A.C. and Lima, J.A. (2009) Adenosine Stress 64- and 256-Row Detector Computed Tomography Angiography and Perfusion Imaging: A Pilot Study Evaluating the Transmural Extent of Perfusion Abnormalities to Predict Atherosclerosis Causing Myocardial Ischemia. Circulation: Cardiovascular Imaging, 2, 174-182.
https://doi.org/10.1161/CIRCIMAGING.108.813766
|
[16]
|
Kim, S.M., Choi, J.H., Chang, S.A. and Choe, Y.H. (2013) Detection of Ischaemic Myocardial Lesions with Coronary CT Angiography and Adenosine-Stress Dynamic Perfusion Imaging Using a 128-Slice Dual-Source CT: Diagnostic Performance in Comparison with Cardiac MRI. The British Journal of Radiology, 86, Article ID: 20130481.
https://doi.org/10.1259/bjr.20130481
|
[17]
|
Kikuchi, Y., Oyama-Manabe, N., Naya, M., Manabe, O., Tomiyama, Y., Sasaki, T., Katoh, C., Kudo, K., Tamaki, N. and Shirato, H. (2014) Quantification of Myocardial Blood Flow Using Dy-namic 320-Row Multi-Detector CT as Compared with 15O-H2O PET. European Radiology, 24, 1547-1556. https://doi.org/10.1007/s00330-014-3164-3
|
[18]
|
Yi, Y., Jin, Z.Y. and Wang, Y.N. (2016) Advances in Myocardi-al CT Perfusion Imaging Technology. American Journal of Translational Research, 8, 4523-4531.
|
[19]
|
Choo, K.S., Lee, H., Kim, J.H., Park, Y.H., Kim, J.S., Kim, J., Chun, K.J., Jeong, D.W. and Lim, S.J. (2013) Adenosine-Stress Low-Dose Single-Scan CT Myocardial Perfusion Imaging Using a 128-Slice Dual-Source CT: A Comparison with Frac-tional Flow Reserve. Acta Radiologica, 54, 389-395. https://doi.org/10.1177/0284185113475440
|
[20]
|
Greif, M., von Ziegler, F., Bamberg, F., Tittus, J., Schwarz, F., D’Anastasi, M., Marcus, R.P., Schenzle, J., Becker, C., Nikolaou, K. and Becker, A. (2013) CT Stress Perfusion Imaging for Detection of Haemodynamically Relevant Coronary Stenosis as Defined by FFR. Heart, 99, 1004-1011. https://doi.org/10.1136/heartjnl-2013-303794
|