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A Comparative Preliminary Study on CT Contrast Attenuation Gradient Versus Invasive FFR in Patients with Unstable Angina


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1. Barton GR, Irvine L, Flather M, et al. Economic Evaluation of Complete Revascularization for Patients with Multivessel Disease Undergoing Primary Percutaneous Coronary Intervention. Value Health. 2017;20:745-751. doi: 10.101622.10.1016/j.jval.2017.02.002Search in Google Scholar

2. Dubey G, Verma SK, Bahl VK. Primary percutaneous coronary intervention for acute ST elevation myocardial infarction: Outcomes and determinants of outcomes: A tertiary care center study from North India. Indian Heart J. 2017;69:294-298. doi: 10.1016/j.ihj.2016.11.322.10.1016/j.ihj.2016.11.322Search in Google Scholar

3. Tonino PA, Fearon WF, De Bruyne B, et al. Angiographic versus functional severity of coronary artery stenoses in the FAME study fractional flow reserve versus angiography in multivessel evaluation. J Am Coll Cardiol. 2010;55:2816-2821. doi: 10.1016/j.jacc.2009.11.096.10.1016/j.jacc.2009.11.096Search in Google Scholar

4. De Bruyne B, Pijls NH, Kalesan B, et al. Fractional flow reserve-guided PCI versus medical therapy in stable coronary disease. N Engl J Med. 2012;367:991-1001. doi: 10.1056/NEJMoa1205361.10.1056/NEJMoa1205361Search in Google Scholar

5. Boden WE, O'Rourke RA, Teo KK, et al. Optimal medical therapy with or without PCI for stable coronary disease. N Engl J Med. 2007;356:1503-1516. doi: 10.1056/NEJMoa070829.10.1056/NEJMoa070829Search in Google Scholar

6. Kwon JE, Lee WS, Mintz GS, et al. Multimodality Intravascular Imaging Assessment of Plaque Erosion versus Plaque Rupture in Patients with Acute Coronary Syndrome. Korean Circ J. 2016;46:499-506. doi: 10.4070/kcj.2016.46.4.499.10.4070/kcj.2016.46.4.499Search in Google Scholar

7. Dong L, Mintz GS, Witzenbichler B, et al. Comparison of plaque characteristics in narrowings with ST-elevation myocardial infarction (STEMI), non-STEMI/unstable angina pectoris and stable coronary artery disease (from the DAPTDES IVUS Substudy). Am J Cardiol. 2015;115:860-866. doi: 10.1016/j.amjcard.2015.01.008.10.1016/j.amjcard.2015.01.008Search in Google Scholar

8. Zheng B, Mintz GS, McPherson JA, et al. Predictors of Plaque Rupture Within Nonculprit Fibroatheromas in Patients With Acute Coronary Syndromes: The PROSPECT Study. JACC Cardiovasc Imaging. 2015;8:1180-1187. doi: 10.1016/j.jcmg.2015.06.014.10.1016/j.jcmg.2015.06.014Search in Google Scholar

9. Acharjee S, Teo KK, Jacobs AK et al. Optimal medical therapy with or without percutaneous coronary intervention in women with stable coronary disease: A pre-specified subset analysis of the Clinical Outcomes Utilizing Revascularization and Aggressive druG Evaluation (COURAGE) trial. Am Heart J. 2016;173:108-117. doi: 10.1016/j.ahj.2015.07.020.10.1016/j.ahj.2015.07.020Search in Google Scholar

10. Boden WE, O'Rourke RA, Teo KK, et al. Optimal medical therapy with or without PCI for stable coronary disease. N Engl J Med. 2007;356:1503-1516. doi: 10.1056/NEJMoa070829.10.1056/NEJMoa070829Search in Google Scholar

11. Andreini D, Pontone G, Mushtaq S, et al. A long-term prognostic value of coronary CT angiography in suspected coronary artery disease. JACC Cardiovasc Imaging. 2012;5:690-701. doi: 10.1016/j.jcmg.2012.03.00910.1016/j.jcmg.2012.03.009Search in Google Scholar

12. Cademartiri F, Seitun S, Clemente A, et al. Myocardial blood flow quantification for evaluation of coronary artery disease by computed tomography. Cardiovasc Diagn Ther. 2017;7:129-150. doi: 10.21037/cdt.2017.03.22.10.21037/cdt.2017.03.22Search in Google Scholar

13. De Bruyne B, Pijls NH, Kalesan B, et al. Fractional flow reserveguided PCI versus medical therapy in stable coronary disease. N Engl J Med. 2012;367:991-1001. doi: 10.1056/NEJMoa120536110.1056/NEJMoa1205361Search in Google Scholar

14. Mollet N, Maffei E, Martini C, et al. Coronary plaque burden in patients with stable and unstable coronary artery disease using multislice CT coronary angiography. Radiol Med. 2011;116:1174-1187. doi: 10.1007/s11547-011-0722-5.10.1007/s11547-011-0722-5Search in Google Scholar

15. Dalager MG, Bøttcher M, Thygesen J, Andersen G, Bøtker HE. Different Plaque Composition and Progression in Patients with Stable and Unstable Coronary Syndromes Evaluated by Cardiac CT. Biomed Res Int. 2015;2015:401357. doi: 10.1155/2015/401357.10.1155/2015/401357Search in Google Scholar

16. Peng K. Transluminal attenuation gradient and corrected models in coronary CT angiography for determining stenosis severity: a primary study using dual-source CT. Clin Radiol. 2017;72:508-516. doi: 10.1016/j.crad.2017.01.003.10.1016/j.crad.2017.01.003Search in Google Scholar

17. Kim HJ, Kim SM, Choi JH, et al. Influence of scan technique on intracoronary transluminal attenuation gradient in coronary CT angiography using 128-slice dual source CT: multi-beat versus one-beat scan. Int J Cardiovasc Imaging. 2017;33:937-946. doi: 10.1007/s10554-017-1078-2.10.1007/s10554-017-1078-2Search in Google Scholar

18. De Cecco CN, Caruso D, Baumann S, et al. Coronary CT angiography derived morphological and functional quantitative plaque markers correlated with invasive fractional flow reserve for detecting hemodynamically significant stenosis. J Cardiovasc Comput Tomogr. 2016;10:199-206. doi: 0.1016/j.jcct.2016.03.002.10.1016/j.jcct.2016.03.002Search in Google Scholar

19. Choi JH, Min JK, Labounty TM, et al. Intracoronary transluminal attenuation gradient in coronary CT angiography for determining coronary artery stenosis. JACC Cardiovasc Imaging. 2011;4:1149-57. doi: 10.1016/j.jcmg.2011.09.006.10.1016/j.jcmg.2011.09.006Search in Google Scholar

20. Benedek T, Jako B, Benedek I. Plaque Quantification by Coronary CT and Intravascular Ultrasound Identifies a Low CT Density Core as a Marker of Plaque Instability in Acute Coronary Syndromes. Int Heart J. 2014;55:22-29.10.1536/ihj.13-213Search in Google Scholar

21. Benedek I, Bucur O, Benedek T. Intracoronary infusion of mononuclear bone marrow derived stem cells is associated with lower plaque burden after 4 years. J Atheroscler Thromb. 2014;21:217-229.10.5551/jat.19745Search in Google Scholar

22. Benedek T, Gyöngyösi M, Benedek I. Multislice computed tomographic coronary angiography for quantitative assessment of culprit lesions in acute coronary syndromes. Can J Cardiol. 2013;29:364-371. doi: 10.1016/j.cjca.2012.11.004.10.1016/j.cjca.2012.11.004Search in Google Scholar

23. Chow BJ, Kass M, Gagné O, et al. Can differences in corrected coronary opacification measured with computed tomography predict resting coronary artery flow? J Am Coll Cardiol. 2011;57:1280-1288. doi: 10.1016/j.jacc.2010.09.07210.1016/j.jacc.2010.09.072Search in Google Scholar

24. Collet C, Onuma Y, Serruys PW, et al. Integration of noninvasive functional assessments with anatomical risk stratification in complex coronary artery disease: the noninvasive functional SYNTAX score. Cardiovasc Diagn Ther. 2017;7:151-158. doi: 10.21037/cdt.2017.03.19.10.21037/cdt.2017.03.19Search in Google Scholar

25. Han D, Starikov A, Ó Hartaigh B, et al. Relationship Between Endothelial Wall Shear Stress and High-Risk Atherosclerotic Plaque Characteristics for Identification of Coronary Lesions That Cause Ischemia: A Direct Comparison With Fractional Flow Reserve. J Am Heart Assoc. 2016;5pii:e004186.10.1161/JAHA.116.004186Search in Google Scholar

26. Wong DT, Ko BS, Cameron JD, et al. Transluminal attenuation gradient in coronary computed tomography angiography is a novel noninvasive approach to the identification of functionally significant coronary artery stenosis: a comparison with fractional flow reserve. J Am Coll Cardiol. 2013;61:1271-1279. doi: 10.1016/j.jacc.2012.12.029.10.1016/j.jacc.2012.12.029Search in Google Scholar

eISSN:
2457-5518
Sprache:
Englisch
Zeitrahmen der Veröffentlichung:
4 Hefte pro Jahr
Fachgebiete der Zeitschrift:
Medizin, Klinische Medizin, Allgemeinmedizin, Innere Medizin, Kardiologie, Intensivmedizin und Notfallmedizin, Radiologie