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Stone GW, Maehara A, Lansky AJ, de Bruyne B, Cristea E, Mintz GS, et al. A prospective natural-history study of coronary atherosclerosis. <i>N Engl J Med<\/i> 2011; 364: 226\u2013235.","DOI":"10.1056\/NEJMoa1002358"},{"key":"2","doi-asserted-by":"crossref","unstructured":"2. Jiang S, Fang C, Xu X, Xing L, Sun S, Peng C, et al. Identification of high-risk coronary lesions by 3-vessel optical coherence tomography. <i>J Am Coll Cardiol<\/i> 2023; 81: 1217\u20131230.","DOI":"10.1016\/j.jacc.2023.01.030"},{"key":"3","doi-asserted-by":"crossref","unstructured":"3. Engstr\u00f8m T, Kelb\u00e6k H, Helqvist S, H\u00f8fsten DE, Kl\u00f8vgaard L, Holmvang L, et al. 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Association of lower fractional flow reserve values with higher risk of adverse cardiac events for lesions deferred revascularization among patients with acute coronary syndrome. <i>J Am Heart Assoc<\/i> 2015; 4: e002172.","DOI":"10.1161\/JAHA.115.002172"},{"key":"12","doi-asserted-by":"crossref","unstructured":"12. Xu B, Tu S, Qiao S, Qu X, Chen Y, Yang J, et al. Diagnostic accuracy of angiography-based quantitative flow ratio measurements for online assessment of coronary stenosis. <i>J Am Coll Cardiol<\/i> 2017; 70: 3077\u20133087.","DOI":"10.1016\/j.jacc.2017.10.035"},{"key":"13","doi-asserted-by":"crossref","unstructured":"13. Westra J, Andersen BK, Campo G, Matsuo H, Koltowski L, Eftekhari A, et al. Diagnostic performance of in-procedure angiography-derived quantitative flow reserve compared to pressure-derived fractional flow reserve: The FAVOR II Europe\u2013Japan study. <i>J Am Heart Assoc<\/i> 2018; 7: e009603.","DOI":"10.1161\/JAHA.118.009603"},{"key":"14","doi-asserted-by":"crossref","unstructured":"14. Omori H, Kawase Y, Mizukami T, Tanigaki T, Hirata T, Okubo M, et al. Diagnostic performance of artificial intelligence-based angiography-derived non-hyperemic pressure ratio using pressure wire as reference. <i>Circ J<\/i> 2025; 89: 323\u2013330.","DOI":"10.1253\/circj.CJ-24-0593"},{"key":"15","doi-asserted-by":"crossref","unstructured":"15. He J, Bian X, Zhang R, Yuan S, Guan C, Zou T, et al. Impact of relative improvement in quantitative flow ratio on clinical outcomes after percutaneous coronary intervention: A subanalysis of the PANDA III trial. <i>Circ J<\/i> 2024; 88: 921\u2013930.","DOI":"10.1253\/circj.CJ-22-0743"},{"key":"16","doi-asserted-by":"crossref","unstructured":"16. Kimura K, Kimura T, Ishihara M, Nakagawa Y, Nakao K, Miyauchi K, et al. JCS 2018 Guideline on diagnosis and treatment of acute coronary syndrome. <i>Circ J<\/i> 2019; 83: 1085\u20131196.","DOI":"10.1253\/circj.CJ-19-0133"},{"key":"17","doi-asserted-by":"crossref","unstructured":"17. Puymirat E, Cayla G, Simon T, Steg PG, Montalescot G, Durand-Zaleski I, et al. Multivessel PCI guided by FFR or angiography for myocardial infarction. <i>N Engl J Med<\/i> 2021; 385: 297\u2013308.","DOI":"10.1056\/NEJMoa2104650"},{"key":"18","doi-asserted-by":"crossref","unstructured":"18. Tu S, Westra J, Yang J, von Birgelen C, Ferrara A, Pellicano M, et al. Diagnostic accuracy of fast computational approaches to derive fractional flow reserve from diagnostic coronary angiography: The international multicenter FAVOR pilot study. <i>JACC Cardiovasc Interv<\/i> 2016; 9: 2024\u20132035.","DOI":"10.1016\/j.jcin.2016.07.013"},{"key":"19","doi-asserted-by":"crossref","unstructured":"19. Denormandie P, Simon T, Cayla G, Steg PG, Montalescot G, Durand-Zaleski I, et al. Compared outcomes of ST-segment-elevation myocardial infarction patients with multivessel disease treated with primary percutaneous coronary intervention and preserved fractional flow reserve of nonculprit lesions treated conservatively and of those with low fractional flow reserve managed invasively: Insights from the FLOWER-MI trial. <i>Circ Cardiovasc Interv<\/i> 2021; 14: e011314.","DOI":"10.1161\/CIRCINTERVENTIONS.121.011314"},{"key":"20","doi-asserted-by":"crossref","unstructured":"20. Seike F, Mintz GS, Matsumura M, Ali ZA, Liu M, Jeremias A, et al. 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Mol JQ, Volleberg RHJA, Belkacemi A, Hermanides RS, Meuwissen M, Protopopov AV, et al. Fractional flow reserve-negative high-risk plaques and clinical outcomes after myocardial infarction. <i>JAMA Cardiol<\/i> 2023; 8: 1013\u20131021.","DOI":"10.1001\/jamacardio.2023.2910"},{"key":"24","doi-asserted-by":"crossref","unstructured":"24. Erbay A, Penzel L, Abdelwahed YS, Klotsche J, Heuberger A, Schatz AS, et al. Prognostic impact of pancoronary quantitative flow ratio assessment in patients undergoing percutaneous coronary intervention for acute coronary syndromes. <i>Circ Cardiovasc Interv<\/i> 2021; 14: e010698.","DOI":"10.1161\/CIRCINTERVENTIONS.121.010698"},{"key":"25","doi-asserted-by":"crossref","unstructured":"25. Collet C, Sonck J, Vandeloo B, Mizukami T, Roosens B, Lochy S, et al. Measurement of hyperemic pullback pressure gradients to characterize patterns of coronary atherosclerosis. <i>J Am Coll Cardiol<\/i> 2019; 74: 1772\u20131784.","DOI":"10.1016\/j.jacc.2019.07.072"},{"key":"26","doi-asserted-by":"crossref","unstructured":"26. Volleberg RHJA, Rroku A, Mol JQ, Hermanides RS, van Leeuwen M, Berta B, et al. FFR-negative nonculprit high-risk plaques and clinical outcomes in high-risk populations: An individual patient-data pooled analysis from COMBINE (OCT-FFR) and PECTUS-Obs. <i>Circ Cardiovasc Interv<\/i> 2025; 18: e014667.","DOI":"10.1161\/CIRCINTERVENTIONS.124.014667"},{"key":"27","doi-asserted-by":"crossref","unstructured":"27. Sakai K, Mizukami T, Leipsic J, Belmonte M, Sonck J, N\u00f8rgaard BL, et al. Coronary atherosclerosis phenotypes in focal and diffuse disease. <i>JACC Cardiovasc Imaging<\/i> 2023; 16: 1452\u20131464.","DOI":"10.1016\/j.jcmg.2023.05.018"},{"key":"28","doi-asserted-by":"crossref","unstructured":"28. Ueki Y, Otsuka T, B\u00e4r S, Koskinas KC, Heg D, H\u00e4ner J, et al. Frequency and outcomes of periprocedural MI in patients with chronic coronary syndromes undergoing PCI. <i>J Am Coll Cardiol<\/i> 2022; 79: 513\u2013526.","DOI":"10.1016\/j.jacc.2021.11.047"},{"key":"29","doi-asserted-by":"crossref","unstructured":"29. Shin D, Dai N, Lee SH, Choi KH, Lefieux A, Molony D, et al. Physiological distribution and local severity of coronary artery disease and outcomes after percutaneous coronary intervention. <i>JACC Cardiovasc Interv<\/i> 2021; 14: 1771\u20131785.","DOI":"10.1016\/j.jcin.2021.06.013"},{"key":"30","doi-asserted-by":"crossref","unstructured":"30. Kotoku N, Ninomiya K, Masuda S, O\u2019Leary N, Garg S, Naito M, et al. Preprocedural physiological assessment of coronary disease patterns to predict haemodynamic outcomes post-PCI. <i>EuroIntervention<\/i> 2023; 19: e891\u2013e902.","DOI":"10.4244\/EIJ-D-23-00516"},{"key":"31","doi-asserted-by":"crossref","unstructured":"31. Ntalianis A, Sels JW, Davidavicius G, Tanaka N, Muller O, Trana C, et al. Fractional flow reserve for the assessment of nonculprit coronary artery stenoses in patients with acute myocardial infarction. <i>JACC Cardiovasc Interv<\/i> 2010; 3: 1274\u20131281.","DOI":"10.1016\/j.jcin.2010.08.025"},{"key":"32","doi-asserted-by":"crossref","unstructured":"32. Musto C, De Felice F, Rigattieri S, Chin D, Marra A, Nazzaro MS, et al. 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