[1]赵润涛 王凡 单冬凯 杨俊杰.CT心肌灌注概述及临床应用进展[J].心血管病学进展,2021,(12):1101-1104.[doi:10.16806/j.cnki.issn.1004-3934.2021.12.011]
　ZHAO Runtao WANG Fan SHAN Dongkai?YANG Junjie.CT Myocardial Perfusion and Clinical Application[J].Advances in Cardiovascular Diseases,2021,(12):1101-1104.[doi:10.16806/j.cnki.issn.1004-3934.2021.12.011]
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CT心肌灌注概述及临床应用进展()
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《心血管病学进展》[ISSN:51-1187/R/CN:1004-3934]

卷:
期数:
2021年12期
页码:
1101-1104
栏目:
综述
出版日期:
2021-12-25

文章信息/Info

Title:
CT Myocardial Perfusion and Clinical Application
作者:
赵润涛1; 2 王凡2 单冬凯3 杨俊杰3
(1.解放军医学院,北京 100853 ;2.中国人民解放军总医院第二医学中心心血管内科 国家老年疾病临床研究中心,北京 100853 ;3. 中国人民解放军总医院第六医学中心心血管病医学部,北京 100853)
Author(s):
ZHAO Runtao1; 2 WANG Fan2 SHAN Dongkai3?YANG Junjie3
?edical School of Chinese PLA, Beijing 100853; 2.Department of Cardiology, The Second Medical Center & National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital , Chinese PLA General Hospital, Beijing 100853; 3. Senior Department of Cardiology, The Sixth Medical Center of Chinese PLA General Hospital, Beijing 100853)
关键词:
计算机断层扫描; CT心肌灌注; 冠状动脉疾病; 无创影像诊断
Keywords:
Computed tomography;  CT myocardial perfusion;  Coronary artery disease;  Noninvasive imaging diagnosis
DOI:
10.16806/j.cnki.issn.1004-3934.2021.12.011
摘要:
在过去的二十年间，随着计算机断层扫描（CT）和心电门控技术不断发展，冠状动脉CT血管造影已成为诊断冠状动脉疾病的重要手段。CT心肌灌注技术近年来发展迅速，它可在冠状动脉CT血管造影的同时反映心肌微循环情况，实现了从冠状动脉解剖学到心肌功能学的“一站式”评估，具有广泛的应用前景。本文对CT心肌灌注的技术原理、临床应用、最新进展、局限性以及未来发展作以综述。
Abstract:
In the past two decades, with the continuous development and computed tomography(CT) and ECG gating technology, coronary artery CT angiography has become an important means for the diagnosis of coronary artery disease. CT myocardial perfusion technique has developed rapidly in recent years. It can reflect myocardial microcirculation while coronary artery CT angiography, and realize "one-stop" evaluation from coronary artery anatomy to myocardial function. This article reviews the technical principle, clinical application, latest progress, limitations and future development of CT myocardial perfusion.

参考文献/References:

[1] Al-Saadi N, Nagel E, Gross M, et al. Noninvasive detection of myocardial ischemia from perfusion reserve based on cardiovascular magnetic resonance[J]. Circulation,2000,101(12):1379-1383.

[2] Baks T, Cademartiri F , Moelker AD , et al. Multislice computed tomography and magnetic resonance imaging for the assessment of reperfused acute myocardial infarction [J]. J Am Coll Cardiol,2006,48(1):144-152.

[3] Maffei E, Seitun S , Guaricci AI , et al. Chest pain : coronary CT in the ER [J]. Br J Radiol,2016,89(1061):20150954.

[4] Maffei E, Martini C , Rossi A , et al. Diagnostic accuracy of second-generation dual-source computed tomography coronary angiography with iterative reconstructions : a real-world experience [J]. Radiol Med,2012,117(5):725-738.

[5] Danad I, Szymonifka J , Schulman-Marcus J , et al. Static and dynamic assessment of myocardial perfusion by computed tomography [J]. Eur Heart J Cardiovasc Imaging,2016,17(8):836-844.

[6] Seitun S, Castiglione Morelli M , Budaj I , et al. Stress computed tomography myocardial perfusion imaging : a new topic in cardiology [J]. Rev Esp Cardiol (Engl Ed),2016,69(2):188-200.

[7] Rossi A, Merkus D, Klotz E, et al. Stress myocardial perfusion : imaging with multidetector CT [J]. Radiology,2014,270(1):25-46.

[8] Yi Y, Jin ZY , Wang YN. Advances in myocardial CT perfusion imaging technology [J]. Am J Transl Res,2016,8(11):4523-4531.

[9] Fieselmann A, Kowarschik M , Ganguly A , et al. Deconvolution-based CT and MR brain perfusion measurement: theoretical model revisited and practical implementation details [J]. Int J Biomed Imaging,2011,2011:467563.

[10] Bindschadler M, Modgil D , Branch KR , et al. Comparison of blood flow models and acquisitions for quantitative myocardial perfusion estimation from dynamic CT [J]. Phys Med Biol.,2014,59(7):1533-1556.

[11] Nakamura S, Kitagawa K , Goto Y , et al. Incremental prognostic value of myocardial blood flow quantified with?stress dynamic computed tomography perfusion imaging[J]. JACC Cardiovasc Imaging,2019,12(7 Pt 2):1379-1387.

[12] Andreini D, Mushtaq S , Pontone G , et al. CT perfusion versus coronary CT angiography in patients with suspected in-stent restenosis or CAD progression [J]. JACC Cardiovasc Imaging,2020,13(3):732-742.

[13] George RT, Arbab-Zadeh A , Miller JM , et al. 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 [J]. Circ Cardiovasc Imaging,2009,2(3):174-182.

[14] Pontone G, Andreini D , Guaricci AI , et al. Quantitative vs. qualitative evaluation of static stress computed tomography perfusion to detect haemodynamically significant coronary artery disease [J]. Eur Heart J Cardiovasc Imaging,2018,19(11):1244-1252.

[15] Rossi A, Dharampal A , Wragg A , et al. Diagnostic performance of hyperaemic myocardial blood flow index obtained by dynamic computed tomography : does it predict functionally significant coronary lesions? [J]. Eur Heart J Cardiovasc Imaging,2014,15(1):85-94.

[16] George RT, Mehra VC , Chen MY , et al. Myocardial CT perfusion imaging and SPECT for the diagnosis of coronary artery disease : a head-to-head comparison from the CORE320 multicenter diagnostic performance study [J]. Radiology,2014,272(2):407-416.

[17] Rochitte CE, George RT , Chen MY , et al. Computed tomography angiography and perfusion to assess coronary artery stenosis causing perfusion defects by single photon emission computed tomography : the CORE320 study [J]. Eur Heart J,2014,35(17):1120-1130.

[18] Yang J, Dou G, He B, et al. Stress Myocardial blood flow ratio by dynamic CT perfusion identifies hemodynamically significant CAD [J]. JACC Cardiovasc Imaging,2020,13(4):966-976.

[19] Li YH, Dai X , Lu ZG , et al. Diagnostic performance of quantitative , semi-quantitative , and visual analysis of dynamic CT myocardial perfusion imaging : a validation study with invasive fractional flow reserve [J]. European radiology,2021,31(1):525-534.

[20] Kuwahara N, Tanabe Y , Kido T , et al. Coronary artery stenosis-related perfusion ratio using dynamic computed tomography myocardial perfusion imaging : a pilot for identification of hemodynamically significant coronary artery disease [J]. Cardiovasc Interv Ther,2020,35(4):327-335.

[21] Ide S, Sumitsuji S , Yamaguchi O , et al. Cardiac computed tomography-derived myocardial mass at risk using the Voronoi-based segmentation algorithm : a histological validation study [J]. J Cardiovasc Comput Tomogr,2017,11(3):179-182.

[22] Yu M, Shen C , Dai X , et al. Clinical outcomes of dynamic computed tomography myocardial perfusion imaging combined with coronary computed tomography angiography versus coronary computed tomography angiography-guided strategy [J]. Circ Cardiovasc Imaging,2020,13(1):e009775.

[23] Lubbers M, Coenen A , Kofflard M , et al. Comprehensive cardiac CT with myocardial perfusion imaging versus functional testing in suspected coronary artery disease : the multicenter , randomized CRESCENT-II trial [J]. JACC Cardiovasc Imaging,2018,11(11):1625-1636.

[24] Assante R , Mainolfi CG , Zampella E , et al. Relation between myocardial blood flow and cardiac events in diabetic patients with suspected coronary artery disease and normal myocardial perfusion imaging [J]. J Nucl Cardiol,2021,28(4):1222-1233.

[25] Meinel FG, Pugliese F , Schoepf UJ , et al. Prognostic value of stress dynamic myocardial perfusion CT in a multicenter population with known or suspected coronary artery disease [J]. AJR Am J Roentgenol,2017,208(4):761-769.

[26] Rispler S, Keidar Z , Ghersin E , et al. Integrated single-photon emission computed tomography and computed tomography coronary angiography for the assessment of hemodynamically significant coronary artery lesions [J].J Am Coll Cardiol,2007,49(10):1059-1067.

[27] Schuijf JD, Wijns W , Jukema JW , et al. Relationship between noninvasive coronary angiography with multi-slice computed tomography and myocardial perfusion imaging [J]. J Am Coll Cardiol,2006,48(12):2508-2514.

[28] Wykrzykowska JJ, Arbab-Zadeh A , Godoy G , et al. Assessment of in-stent restenosis using 64-MDCT: analysis of the CORE-64 Multicenter International Trial [J]. AJR Am J Roentgenoy,2010,194(1):85-92.

[29] Arbab-Zadeh A, Miller JM , Rochitte CE , et al. Diagnostic accuracy of computed tomography coronary angiography according to pre-test probability of coronary artery disease and severity of coronary arterial calcification. The CORE-64 (Coronary Artery Evaluation Using 64-Row Multidetector Computed Tomography Angiography) International Multicenter Study [J]. J Am Coll Cardiol,2012,59(4):379-387.

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更新日期/Last Update: 2022-01-07