References
- 1. 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;29:364-371.10.1016/j.cjca.2012.11.00423333164
- 2. Chatzizisis YS, George E, Cai T, et al. Accuracy and reproducibility of automated, standardized coronary transluminal attenuation gradient measurements. Int J Cardiovasc Imaging. 2014;30:1181-1189.10.1007/s10554-014-0446-4410474724839136
- 3. König A, Klauss V. Virtual histology. Heart. 2007;93:977-982.10.1136/hrt.2007.116384199439117502324
- 4. Terashima M, Kaneda H, Suzuki T. The Role of Optical Coherence Tomography in Coronary Intervention. The Korean Journal of Internal Medicine. 2012;27:1-12.10.3904/kjim.2012.27.1.1329597522403493
- 5. Wongpraparut N, Yalamanchili V, Pasnoori V, et al. Thirty-month outcome after fractional flow reserve-guided versus conventional multivessel percutaneous coronary intervention. Am J Cardiol. 2005;96:877-884.10.1016/j.amjcard.2005.05.04016188509
- 6. Fearon WF, Tonino PA, De Bruyne B, Siebert U, Pijls NH; FAME Study Investigators. Rationale and design of the Fractional Flow Reserve versus Angiography for Multivessel Evaluation (FAME) study. Am Heart J. 2007;154:632-636.10.1016/j.ahj.2007.06.01217892983
- 7. Tonino PA, De Bruyne B, Pijls NH, et al. Fractional Flow Reserve versus Angiography for Guiding Percutaneous Coronary Intervention. N Engl J Med. 2009;360:213-224.10.1056/NEJMoa080761119144937
- 8. Berger A, Botman KJ, MacCarthy PA, et al. Long-term clinical outcome after fractional flow reserve-guided percutaneous coronary intervention in patients with multivessel disease. J Am Coll Cardiol. 2005;46:438-442.10.1016/j.jacc.2005.04.04116053955
- 9. Motoyama S, Masayoshi S, Harigaya H, et al. Computed tomographic angiography characteristics of atherosclerotic plaques subsequently resulting in acute coronary syndrome. J Am Coll Cardiol. 2009;54:49-57.10.1016/j.jacc.2009.02.06819555840
- 10. Jakó B, Benedek T, Suciu Zs, Benedek I. High Calcium Score Predicts Severity of the Culprit Lesions in Patients with Acute Coronary Syndromes. Acta Medica Marisiensis. 2014;59:298-301.
- 11. Ferrante G, Presbitero P, Whitbourn R, Barlis P. Current applications of optical coherence tomography for coronary intervention. Int J Cardiol. 2013;165:7-16.10.1016/j.ijcard.2012.02.01322405134
- 12. Maurovich-Horvat P, Schlett CL, Alkadhi H, et al. The napkin-ring sign indicates advanced atherosclerotic lesions in coronary CT angiography. JACC Cardiovasc Imaging. 2012;5:1243-1252.10.1016/j.jcmg.2012.03.01923236975
- 13. Diaz-Zamudio M, Dey D, Schuhbaeck A, et al. Automated Quantitative Plaque Burden from Coronary CT Angiography Noninvasively Predicts Hemodynamic Significance by using Fractional Flow Reserve in Intermediate Coronary Lesions. Radiology. 2015;276:408-415.10.1148/radiol.2015141648457816125897475
- 14. Ko BS, Wong DT, Cameron JD, et al. 320-row CT coronary angiography predicts freedom from revascularisation and acts as a gatekeeper to defer invasive angiography in stable coronary artery disease: a fractional flow reserve-correlated study. Eur Radiol. 2014;24:738-747.10.1007/s00330-013-3059-824217643
- 15. Danad I, Raijmakers PG, Knaapen P. Diagnosing coronary artery disease with hybrid PET/CT: It takes two to tango. J Nucl Cardiol. 2013;20:874-890.10.1007/s12350-013-9753-823842709
- 16. Meijboom WB, Meijs MF, Schuijf JD, et al. Diagnostic accuracy of 64-slice computed tomography coronary angiography: a prospective, multicenter, multivendor study. J Am Coll Cardiol. 2008;52:2135-2144.10.1016/j.jacc.2008.08.05819095130
- 17. Stuijfzand WJ, Danad I, Raijmakers PG, et al. Additional value of transluminal attenuation gradient in CT angiography to predict hemodynamic significance of coronary artery stenosis. JACC Cardiovasc Imaging. 2014;7:374-386.10.1016/j.jcmg.2013.12.013437865124631509
- 18. Li M1, Zhang J, Pan J, Lu Z. Obstructive coronary artery disease: reverse attenuation gradient sign at CT indicates distal retrograde flow – a useful sign for differentiating chronic total occlusion from subtotal occlusion. Radiology. 2013;266:766-772.10.1148/radiol.1212129423220898
- 19. Nakanishi R, Matsumoto S, Alani A, et al. Diagnostic performance of transluminal attenuation gradient and fractional flow reserve by coronary computed tomographic angiography (FFR(CT)) compared to invasive FFR: a sub-group analysis from the DISCOVER-FLOW and DeFACTO studies. Int J Cardiovasc Imaging. 2015;31:1251-1259.10.1007/s10554-015-0666-225904402
- 20. Ko BS, Wong DT, Nørgaard BL, et al. Diagnostic Performance of Transluminal Attenuation Gradient and Noninvasive Fractional Flow Reserve Derived from 320–Detector Row CT Angiography to Diagnose Hemodynamically Significant Coronary Stenosis: An NXT Substudy. Radiology. 2016;279:75-83.10.1148/radiol.201515038326444662
- 21. 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;4:1149-1157.10.1016/j.jcmg.2011.09.00622093264
- 22. 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;61:1271-1279.10.1016/j.jacc.2012.12.02923414792