Piccolo R, Giustino G, Mehran R, Windecker S (2015) Stable coronary artery disease: revascularisation and invasive strategies. Lancet 386(9994):702–713
Ullah M, Wahab A, Khan SU et al (2023) Stent as a novel technology for coronary artery disease and their clinical manifestation. Curr Probl Cardiol 48(1):101415
Pyxaras SA, Wijns W, Reiber JHC, Bax JJ (2018) Invasive assessment of coronary artery disease. J Nucl Cardiol 25(3):860–871
Virani SS, Newby LK, Arnold SV et al (2023) 2023 AHA/ACC/ACCP/ASPC/NLA/PCNA Guideline for the Management of Patients With Chronic Coronary Disease: a Report of the American Heart Association/American College of Cardiology Joint Committee on Clinical Practice Guidelines. Circulation 148(9):e9–e119
Li J, Gong Y, Wang W et al (2020) Accuracy of computational pressure-fluid dynamics applied to coronary angiography to derive fractional flow reserve: FLASH FFR. Cardiovasc Res 116(7):1349–1356
Article CAS PubMed Google Scholar
Gorcsan J 3rd, Tanaka H (2011) Echocardiographic assessment of myocardial strain. J Am Coll Cardiol 58(14):1401–1413
Leitman M, Lysyansky P, Sidenko S et al (2004) Two-dimensional strain-a novel software for real-time quantitative echocardiographic assessment of myocardial function. J Am Soc Echocardiogr 17(10):1021–1029
Nesbitt GC, Mankad S, Oh JK (2009) Strain imaging in echocardiography: methods and clinical applications. Int J Cardiovasc Imaging 25(Suppl 1):9–22
Liou K, Negishi K, Ho S, Russell EA, Cranney G, Ooi SY (2016) Detection of obstructive coronary artery disease using peak systolic global longitudinal strain derived by two-dimensional speckle-tracking: a systematic review and meta-analysis. J Am Soc Echocardiogr 29(8):724-735.e724
Edvardsen T, Asch FM, Davidson B et al (2022) Non-invasive imaging in coronary syndromes: recommendations of the European Association of Cardiovascular Imaging and the American Society of Echocardiography, in collaboration with the American Society of Nuclear Cardiology, Society of Cardiovascular Computed Tomography, and Society for Cardiovascular Magnetic Resonance. Eur Heart J Cardiovasc Imaging 23(2):e6–e33
Takeuchi M, Wu VC (2018) Application of left ventricular strain to patients with coronary artery disease. Curr Opin Cardiol 33(5):464–469
Nishi T, Funabashi N, Ozawa K et al (2019) Regional layer-specific longitudinal peak systolic strain using exercise stress two-dimensional speckle-tracking echocardiography for the detection of functionally significant coronary artery disease. Heart Vessels 34(8):1394–1403
Albenque G, Rusinaru D, Bellaiche M et al (2022) Resting left ventricular global longitudinal strain to identify silent myocardial ischemia in asymptomatic patients with diabetes mellitus. J Am Soc Echocardiogr 35(3):258–266
Marwick TH (2010) Consistency of myocardial deformation imaging between vendors. Eur J Echocardiogr 11(5):414–416
Chamberlain R, Shiino K, Scalia GM, Sabapathy S, Chan J (2021) Advantage and validation of vendor-independent software for myocardial strain analysis compared to vendor-specific software. Australas J Ultrasound Med 24(1):48–57
Hoffmann R, Lethen H, Marwick T et al (1996) Analysis of interinstitutional observer agreement in interpretation of dobutamine stress echocardiograms. J Am Coll Cardiol 27(2):330–336
Article CAS PubMed Google Scholar
van Smeden M, Heinze G, Van Calster B et al (2022) Critical appraisal of artificial intelligence-based prediction models for cardiovascular disease. Eur Heart J 43(31):2921–2930
Article PubMed PubMed Central Google Scholar
Chu M, Wu P, Li G, Yang W, Gutiérrez-Chico JL, Tu S (2023) Advances in diagnosis, therapy, and prognosis of coronary artery disease powered by deep learning algorithms. JACC Asia 3(1):1–14
Article PubMed PubMed Central Google Scholar
Upton R, Mumith A, Beqiri A et al (2022) Automated echocardiographic detection of severe coronary artery disease using artificial intelligence. JACC Cardiovasc Imaging 15(5):715–727
Narula S, Shameer K, Salem Omar AM, Dudley JT, Sengupta PP. Machine-learning algorithms to automate morphological and functional assessments in 2D echocardiography. J Am Coll Cardiol. 2016;68(21):2287–2295.
Zhang J, Gajjala S, Agrawal P et al (2018) Fully automated echocardiogram interpretation in clinical practice. Circulation 138(16):1623–1635
Article PubMed PubMed Central Google Scholar
Khamis H, Zurakhov G, Azar V, Raz A, Friedman Z, Adam D (2017) Automatic apical view classification of echocardiograms using a discriminative learning dictionary. Med Image Anal 36:15–21
Ghorbani A, Ouyang D, Abid A et al (2020) Deep learning interpretation of echocardiograms. NPJ Digit Med 3:10
Article PubMed PubMed Central Google Scholar
Cerqueira MD, Weissman NJ, Dilsizian V, et al. Standardized myocardial segmentation and nomenclature for tomographic imaging of the heart. A statement for healthcare professionals from the Cardiac Imaging Committee of the Council on Clinical Cardiology of the American Heart Association. Circulation. 2002;105(4):539–542.
McInnes L, Healy J, Melville J. UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction. 2018:arXiv:1802.03426. https://ui.adsabs.harvard.edu/abs/2018arXiv180203426M.
Park SJ, Kang SJ, Ahn JM et al (2012) Visual-functional mismatch between coronary angiography and fractional flow reserve. JACC Cardiovasc Interv 5(10):1029–1036
Toth G, Hamilos M, Pyxaras S et al (2014) Evolving concepts of angiogram: fractional flow reserve discordances in 4000 coronary stenoses. Eur Heart J 35(40):2831–2838
Boden WE, O’Rourke RA, Teo KK et al (2007) Optimal medical therapy with or without PCI for stable coronary disease. N Engl J Med 356(15):1503–1516
Article CAS PubMed Google Scholar
Sedlis SP, Hartigan PM, Teo KK et al (2015) Effect of PCI on long-term survival in patients with stable ischemic heart disease. N Engl J Med 373(20):1937–1946
Article CAS PubMed PubMed Central Google Scholar
Pijls NH, van Schaardenburgh P, Manoharan G et al (2007) Percutaneous coronary intervention of functionally nonsignificant stenosis: 5-year follow-up of the DEFER Study. J Am Coll Cardiol 49(21):2105–2111
Xaplanteris P, Fournier S, Pijls NHJ et al (2018) Five-year outcomes with PCI Guided by fractional flow reserve. N Engl J Med 379(3):250–259
Tonino PA, De Bruyne B, Pijls NH et al (2009) Fractional flow reserve versus angiography for Guiding percutaneous coronary intervention. N Engl J Med 360(3):213–224
Article CAS PubMed Google Scholar
van Nunen LX, Zimmermann FM, Tonino PA et al (2015) Fractional flow reserve versus angiography for guidance of PCI in patients with multivessel coronary artery disease (FAME): 5-year follow-up of a randomised controlled trial. Lancet 386(10006):1853–1860
Pijls NH, Fearon WF, Tonino PA et al (2010) Fractional flow reserve versus angiography for guiding percutaneous coronary intervention in patients with multivessel coronary artery disease: 2-year follow-up of the FAME (Fractional Flow Reserve Versus Angiography for Multivessel Evaluation) study. J Am Coll Cardiol 56(3):177–184
Neumann FJ, Sousa-Uva M, Ahlsson A et al (2019) 2018 ESC/EACTS Guidelines on myocardial revascularization. Eur Heart J 40(2):87–165
Knuuti J, Wijns W, Saraste A et al (2020) 2019 ESC Guidelines for the diagnosis and management of chronic coronary syndromes. Eur Heart J 41(3):407–477
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