{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,2]],"date-time":"2026-06-02T18:11:10Z","timestamp":1780423870535,"version":"3.54.1"},"reference-count":47,"publisher":"Springer Science and Business Media LLC","issue":"7","license":[{"start":{"date-parts":[[2019,3,18]],"date-time":"2019-03-18T00:00:00Z","timestamp":1552867200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"name":"National Key Research Program of China","award":["2016YFC1300300, 2017YFC1103403, 2016YFA0100900"],"award-info":[{"award-number":["2016YFC1300300, 2017YFC1103403, 2016YFA0100900"]}]},{"DOI":"10.13039\/501100001809","name":"the National Nature Science Foundation of China","doi-asserted-by":"crossref","award":["No 61771464, U1801265, 81500360, 81227901, 81530058 and 81570272"],"award-info":[{"award-number":["No 61771464, U1801265, 81500360, 81227901, 81530058 and 81570272"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100002858","name":"China Postdoctoral Science Foundation","doi-asserted-by":"publisher","award":["2016T90990 and 2016M603026"],"award-info":[{"award-number":["2016T90990 and 2016M603026"]}],"id":[{"id":"10.13039\/501100002858","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Shenzhen?Hong Kong Innovation Circle Program","award":["SGLH20161212104605195"],"award-info":[{"award-number":["SGLH20161212104605195"]}]},{"name":"Shenzhen Science and Technology Program","award":["JCYJ20170306092258717"],"award-info":[{"award-number":["JCYJ20170306092258717"]}]},{"name":"the Science and Technology Project of Guangdong Province","award":["2016B090925001, 2017B090912006"],"award-info":[{"award-number":["2016B090925001, 2017B090912006"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Eur Radiol"],"published-print":{"date-parts":[[2019,7]]},"DOI":"10.1007\/s00330-019-06023-z","type":"journal-article","created":{"date-parts":[[2019,3,18]],"date-time":"2019-03-18T11:05:01Z","timestamp":1552907101000},"page":"3669-3677","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":19,"title":["Evaluation of fractional flow reserve in patients with stable angina: can CT compete with angiography?"],"prefix":"10.1007","volume":"29","author":[{"given":"Xin","family":"Liu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yabin","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Heye","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Youbing","family":"Yin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kunlin","family":"Cao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhifan","family":"Gao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Huafeng","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"William Kongto","family":"Hau","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lei","family":"Gao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yundai","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Feng","family":"Cao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wenhua","family":"Huang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2019,3,18]]},"reference":[{"key":"6023_CR1","doi-asserted-by":"publisher","first-page":"1234","DOI":"10.1056\/NEJMoa1701067","volume":"376","author":"PC Smits","year":"2017","unstructured":"Smits PC, Abdel-Wahab M, Neumann FJ et al (2017) Fractional flow reserve\u2013guided multivessel angioplasty in myocardial infarction. N Engl J Med 376:1234\u20131244","journal-title":"N Engl J Med"},{"key":"6023_CR2","doi-asserted-by":"publisher","first-page":"2816","DOI":"10.1016\/j.jacc.2009.11.096","volume":"55","author":"PA Tonino","year":"2010","unstructured":"Tonino PA, Fearon WF, De Bruyne B et al (2010) Angiographic versus functional severity of coronary artery stenoses in the FAME study. J Am Coll Cardiol 55:2816","journal-title":"J Am Coll Cardiol"},{"key":"6023_CR3","doi-asserted-by":"publisher","first-page":"1475","DOI":"10.1161\/CIRCULATIONAHA.117.028782","volume":"137","author":"G Ciccarelli","year":"2018","unstructured":"Ciccarelli G, Barbato E, Toth GG et al (2018) Angiography versus hemodynamics to predict the natural history of coronary stenoses: fractional flow reserve versus angiography in multivessel evaluation 2 substudy. Circulation 137:1475\u20131485","journal-title":"Circulation"},{"key":"6023_CR4","doi-asserted-by":"crossref","unstructured":"Pijls NHJ, 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 56:177","DOI":"10.1016\/j.jacc.2010.04.012"},{"key":"6023_CR5","doi-asserted-by":"publisher","first-page":"1853","DOI":"10.1016\/S0140-6736(15)00057-4","volume":"386","author":"LX Nunen van","year":"2015","unstructured":"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 386:1853\u20131860","journal-title":"Lancet"},{"key":"6023_CR6","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.ahj.2016.10.005","volume":"183","author":"G Rimac","year":"2017","unstructured":"Rimac G, Fearon WF, De Bruyne B et al (2017) Clinical value of post\u2013percutaneous coronary intervention fractional flow reserve value: a systematic review and meta-analysis. Am Heart J 183:1\u20139","journal-title":"Am Heart J"},{"key":"6023_CR7","doi-asserted-by":"publisher","first-page":"250","DOI":"10.1056\/NEJMoa1803538","volume":"379","author":"P Xaplanteris","year":"2018","unstructured":"Xaplanteris P, Fournier S, Pijls NH et al (2018) Five-year outcomes with PCI guided by fractional flow reserve. N Engl J Med 379:250\u2013259","journal-title":"N Engl J Med"},{"key":"6023_CR8","doi-asserted-by":"publisher","first-page":"480","DOI":"10.1161\/CIRCULATIONAHA.117.031907","volume":"137","author":"WF Fearon","year":"2018","unstructured":"Fearon WF, Nishi T, De Bruyne B et al (2018) Clinical outcomes and cost-effectiveness of fractional flow reserve\u2013guided percutaneous coronary intervention in patients with stable coronary artery disease: three-year follow-up of the FAME 2 trial (fractional flow reserve versus angiography for multivessel evaluation). Circulation 137:480\u2013487","journal-title":"Circulation"},{"key":"6023_CR9","doi-asserted-by":"publisher","first-page":"1018","DOI":"10.1016\/j.jcin.2015.01.039","volume":"8","author":"NP Johnson","year":"2015","unstructured":"Johnson NP, Johnson DT, Kirkeeide RL et al (2015) Repeatability of fractional flow reserve despite variations in systemic and coronary hemodynamics. JACC Cardiovasc Interv 8:1018\u20131027","journal-title":"JACC Cardiovasc Interv"},{"key":"6023_CR10","doi-asserted-by":"crossref","unstructured":"Joseph TA, Lehrich J, Chan PS et al (2017) Use of fractional flow reserve in elderly patients undergoing elective percutaneous coronary intervention. JACC Cardiovasc Interv 10:419\u2013420","DOI":"10.1016\/j.jcin.2016.12.021"},{"key":"6023_CR11","doi-asserted-by":"publisher","first-page":"109","DOI":"10.1146\/annurev.bioeng.10.061807.160521","volume":"11","author":"CA Taylor","year":"2009","unstructured":"Taylor CA, Figueroa CA (2009) Patient-specific modeling of cardiovascular mechanics. Annu Rev Biomed Eng 11:109\u2013134","journal-title":"Annu Rev Biomed Eng"},{"key":"6023_CR12","doi-asserted-by":"crossref","unstructured":"Tu S, Barbato E, K\u00f6szegi Z et al (2014) Fractional flow reserve calculation from 3-dimensional quantitative coronary angiography and TIMI frame count: a fast computer model to quantify the functional significance of moderately obstructed coronary arteries. JACC Cardiovasc Interv 7:768\u2013777","DOI":"10.1016\/j.jcin.2014.03.004"},{"key":"6023_CR13","doi-asserted-by":"publisher","unstructured":"Siogkas PK, Anagnostopoulos CD, Liga R et al (2018) Noninvasive CT-based hemodynamic assessment of coronary lesions derived from fast computational analysis: a comparison against fractional flow reserve. Eur Radiol. \n                    https:\/\/doi.org\/10.1007\/s00330-018-5781-8","DOI":"10.1007\/s00330-018-5781-8"},{"key":"6023_CR14","doi-asserted-by":"publisher","first-page":"2655","DOI":"10.1007\/s00330-017-5223-z","volume":"28","author":"D Dey","year":"2018","unstructured":"Dey D, Gaur S, Ovrehus KA et al (2018) Integrated prediction of lesion-specific ischaemia from quantitative coronary CT angiography using machine learning: a multicentre study. Eur Radiol 28:2655\u20132664","journal-title":"Eur Radiol"},{"key":"6023_CR15","doi-asserted-by":"publisher","first-page":"2309","DOI":"10.1007\/s00330-016-4567-0","volume":"27","author":"A Coenen","year":"2017","unstructured":"Coenen A, Lubbers MM, Kurata A et al (2017) Diagnostic value of transmural perfusion ratio derived from dynamic CT-based myocardial perfusion imaging for the detection of haemodynamically relevant coronary artery stenosis. Eur Radiol 27:2309\u20132316","journal-title":"Eur Radiol"},{"key":"6023_CR16","doi-asserted-by":"publisher","first-page":"881","DOI":"10.1161\/CIRCIMAGING.113.000297","volume":"6","author":"R Nakazato","year":"2013","unstructured":"Nakazato R, Park HB, Berman DS et al (2013) Noninvasive fractional flow reserve derived from computed tomography angiography for coronary lesions of intermediate stenosis severity: results from the DeFACTO study. Circ Cardiovasc Imaging 6:881\u2013889","journal-title":"Circ Cardiovasc Imaging"},{"key":"6023_CR17","doi-asserted-by":"publisher","first-page":"301","DOI":"10.1016\/j.jcct.2011.08.003","volume":"5","author":"JK Min","year":"2011","unstructured":"Min JK, Berman DS, Budoff MJ et al (2011) Rationale and design of the DeFACTO (determination of fractional flow reserve by anatomic computed tomographic angiography) study. J Cardiovasc Comput Tomogr 5:301\u2013309","journal-title":"J Cardiovasc Comput Tomogr"},{"key":"6023_CR18","doi-asserted-by":"publisher","first-page":"971","DOI":"10.1016\/j.amjcard.2012.05.033","volume":"110","author":"JK Min","year":"2012","unstructured":"Min JK, Koo B-K, Erglis A et al (2012) Usefulness of noninvasive fractional flow reserve computed from coronary computed tomographic angiograms for intermediate stenoses confirmed by quantitative coronary angiography. Am J Cardiol 110:971\u2013976","journal-title":"Am J Cardiol"},{"key":"6023_CR19","doi-asserted-by":"publisher","unstructured":"van Hamersvelt RW, Zreik M, Voskuil M, Viergever MA, I\u0161gum I, Leiner T (2018) Deep learning analysis of left ventricular myocardium in CT angiographic intermediate-degree coronary stenosis improves the diagnostic accuracy for identification of functionally significant stenosis. Eur Radiol. \n                    https:\/\/doi.org\/10.1007\/s00330-018-5822-3","DOI":"10.1007\/s00330-018-5822-3"},{"key":"6023_CR20","doi-asserted-by":"crossref","unstructured":"N\u00f8rgaard BL, Leipsic J, Gaur S et al (2014) Diagnostic performance of noninvasive fractional flow reserve derived from coronary computed tomography angiography in suspected coronary artery disease: the NXT trial (Analysis of Coronary Blood Flow Using CT Angiography: Next Steps). J Am Coll Cardiol 63:1145\u20131155","DOI":"10.1016\/j.jacc.2013.11.043"},{"key":"6023_CR21","doi-asserted-by":"publisher","first-page":"51","DOI":"10.1016\/j.ijcard.2018.06.080","volume":"271","author":"T Nishi","year":"2018","unstructured":"Nishi T, Fearon WF (2018) Fractional flow reserve derived from routine coronary angiography. Int J Cardiol 271:51\u201352","journal-title":"Int J Cardiol"},{"key":"6023_CR22","doi-asserted-by":"publisher","first-page":"988","DOI":"10.1253\/circj.CJ-16-1261","volume":"81","author":"K Yazaki","year":"2017","unstructured":"Yazaki K, Otsuka M, Kataoka S et al (2017) Applicability of 3-dimensional quantitative coronary angiography-derived computed fractional flow reserve for intermediate coronary stenosis. Circ J 81:988\u2013992","journal-title":"Circ J"},{"key":"6023_CR23","doi-asserted-by":"crossref","unstructured":"Koo BK, Erglis A, Doh JH et al (2011) Diagnosis of ischemia-causing coronary stenoses by noninvasive fractional flow reserve computed from coronary computed tomographic angiograms. Results from the prospective multicenter DISCOVER-FLOW (Diagnosis of Ischemia-Causing Stenoses Obtained Via Noninvasive Fractional Flow Reserve) study. J Am Coll Cardiol 58:1989\u20131997","DOI":"10.1016\/j.jacc.2011.06.066"},{"key":"6023_CR24","doi-asserted-by":"publisher","first-page":"1237","DOI":"10.1001\/2012.jama.11274","volume":"308","author":"JK Min","year":"2012","unstructured":"Min JK, Leipsic J, Pencina MJ et al (2012) Diagnostic accuracy of fractional flow reserve from anatomic ct angiography. JAMA 308:1237\u20131245","journal-title":"JAMA"},{"key":"6023_CR25","doi-asserted-by":"crossref","unstructured":"Voros S, Rinehart S, Qian Z et al (2011) Prospective validation of standardized, 3-dimensional, quantitative coronary computed tomographic plaque measurements using radiofrequency backscatter intravascular ultrasound as reference standard in intermediate coronary arterial lesions: results from the ATLANTA (assessment of tissue characteristics, lesion morphology, and hemodynamics by angiography with fractional flow reserve, intravascular ultrasound and virtual histology, and noninvasive computed tomography in atherosclerotic plaques) I study. JACC Cardiovasc Interv 4:198\u2013208","DOI":"10.1016\/j.jcin.2010.10.008"},{"key":"6023_CR26","doi-asserted-by":"publisher","first-page":"1089","DOI":"10.1016\/j.jbiomech.2011.01.036","volume":"44","author":"AG Giessen van der","year":"2011","unstructured":"van der Giessen AG, Groen HC, Doriot PA et al (2011) The influence of boundary conditions on wall shear stress distribution in patients specific coronary trees. J Biomech 44:1089\u20131095","journal-title":"J Biomech"},{"key":"6023_CR27","doi-asserted-by":"publisher","first-page":"435","DOI":"10.1016\/j.jcct.2016.10.002","volume":"10","author":"S Abbara","year":"2016","unstructured":"Abbara S, Blanke P, Maroules CD et al (2016) SCCT guidelines for the performance and acquisition of coronary computed tomographic angiography: a report of the Society of Cardiovascular Computed Tomography Guidelines Committee: Endorsed by the North American Society for Cardiovascular Imaging (NASCI). J Cardiovasc Comput Tomogr 10:435\u2013449","journal-title":"J Cardiovasc Comput Tomogr"},{"key":"6023_CR28","doi-asserted-by":"publisher","first-page":"2345","DOI":"10.1161\/01.CIR.99.17.2345","volume":"99","author":"PJ Scanlon","year":"1999","unstructured":"Scanlon PJ, Faxon DP, Audet AM et al (1999) ACC\/AHA guidelines for coronary angiography: executive summary and recommendations: a report of the American College of Cardiology\/American Heart Association Task Force on Practice Guidelines (committee on coronary angiography) developed in collaboration with the Society for Cardiac Angiography and Interventions. Circulation 99:2345\u20132357","journal-title":"Circulation"},{"key":"6023_CR29","doi-asserted-by":"crossref","unstructured":"Levine GN, Bates ER, Blankenship JC et al (2016) 2015 ACC\/AHA\/SCAI Focused Update on Primary Percutaneous Coronary Intervention for Patients With ST-Elevation Myocardial Infarction: An Update of the 2011 ACCF\/AHA\/SCAI Guideline for Percutaneous Coronary Intervention and the 2013 ACCF\/AHA Guideline for the Management of STElevation Myocardial Infarction. J Am Coll Cardiol 67:1235\u20131250","DOI":"10.1016\/j.jacc.2015.10.005"},{"key":"6023_CR30","doi-asserted-by":"publisher","first-page":"213","DOI":"10.1056\/NEJMoa0807611","volume":"360","author":"PA Tonino","year":"2009","unstructured":"Tonino PA, De Bruyne B, Pijls NHJ et al (2009) Fractional flow reserve versus angiography for guiding percutaneous coronary intervention. N Engl J Med 360:213\u2013224","journal-title":"N Engl J Med"},{"key":"6023_CR31","doi-asserted-by":"publisher","first-page":"127","DOI":"10.1186\/s12938-017-0413-0","volume":"16","author":"X Liu","year":"2017","unstructured":"Liu X, Peng C, Xia Y et al (2017) Hemodynamics analysis of the serial stenotic coronary arteries. Biomed Eng Online 16:127","journal-title":"Biomed Eng Online"},{"key":"6023_CR32","doi-asserted-by":"publisher","first-page":"53330","DOI":"10.1109\/ACCESS.2018.2870950","volume":"6","author":"X Wang","year":"2018","unstructured":"Wang X, Peng C, Liu X, Pan Z (2018) Functional assessment of stenotic coronary artery in 3D geometric reconstruction from fusion of intravascular ultrasound and X-ray angiography. IEEE Access 6:53330\u201353341","journal-title":"IEEE Access"},{"key":"6023_CR33","doi-asserted-by":"publisher","unstructured":"Gao Z, Liu X, Qi S, Wu W, Hau WK, Zhang H (2017) Automatic segmentation of coronary tree in CT angiography images. Int J Adapt Control Signal Process. \n                    https:\/\/doi.org\/10.1002\/acs.2762","DOI":"10.1002\/acs.2762"},{"key":"6023_CR34","doi-asserted-by":"publisher","first-page":"1581","DOI":"10.1007\/s10237-018-1045-4","volume":"17","author":"P Xu","year":"2018","unstructured":"Xu P, Liu X, Zhang H et al (2018) Assessment of boundary conditions for CFD simulation in human carotid artery. Biomech Model Mechanobiol 17:1581\u20131597","journal-title":"Biomech Model Mechanobiol"},{"key":"6023_CR35","doi-asserted-by":"publisher","first-page":"3195","DOI":"10.1007\/s10439-010-0083-6","volume":"38","author":"HJ Kim","year":"2010","unstructured":"Kim HJ, Vignon-Clementel IE, Coogan JS, Figueroa CA, Jansen KE, Taylor CA (2010) Patient-specific modeling of blood flow and pressure in human coronary arteries. Ann Biomed Eng 38:3195\u20133209","journal-title":"Ann Biomed Eng"},{"key":"6023_CR36","unstructured":"Multiphysics C (2015) v. 5.2. COMSOL AB, Stockholm, Sweden"},{"key":"6023_CR37","doi-asserted-by":"crossref","unstructured":"Adjedj J, De Bruyne B, Flor\u00e9 V et al (2016) Significance of intermediate values of fractional flow reserve in patients with coronary artery disease. Circulation 133:502\u2013508","DOI":"10.1161\/CIRCULATIONAHA.115.018747"},{"key":"6023_CR38","doi-asserted-by":"publisher","first-page":"H855","DOI":"10.1152\/ajpheart.00130.2016","volume":"311","author":"S Rivolo","year":"2016","unstructured":"Rivolo S, Hadjilucas L, Sinclair M et al (2016) Impact of coronary bifurcation morphology on wave propagation. Am J Physiol Heart Circ Physiol 311:H855\u2013H870","journal-title":"Am J Physiol Heart Circ Physiol"},{"key":"6023_CR39","doi-asserted-by":"publisher","first-page":"580","DOI":"10.1007\/s10439-015-1436-y","volume":"44","author":"K Tanaka","year":"2016","unstructured":"Tanaka K, Bezerra HG, Gaur S et al (2016) Comparison between non-invasive (coronary computed tomography angiography derived) and invasive-fractional flow reserve in patients with serial stenoses within one coronary artery: a NXT trial substudy. Ann Biomed Eng 44:580\u2013589","journal-title":"Ann Biomed Eng"},{"key":"6023_CR40","doi-asserted-by":"publisher","first-page":"16","DOI":"10.1161\/CIRCIMAGING.108.792572","volume":"2","author":"BJ Chow","year":"2009","unstructured":"Chow BJ, Abraham A, Wells GA et al (2009) Diagnostic accuracy and impact of computed tomographic coronary angiography on utilization of invasive coronary angiography. Circ Cardiovasc Imaging 2:16\u201323","journal-title":"Circ Cardiovasc Imaging"},{"key":"6023_CR41","doi-asserted-by":"publisher","first-page":"559","DOI":"10.1016\/j.jcmg.2015.08.021","volume":"9","author":"MJ Budoff","year":"2016","unstructured":"Budoff MJ, Nakazato R, Mancini GB et al (2016) CT angiography for the prediction of hemodynamic significance in intermediate and severe lesions: head-to-head comparison with quantitative coronary angiography using fractional flow reserve as the reference standard. JACC Cardiovasc Imaging 9:559\u2013564","journal-title":"JACC Cardiovasc Imaging"},{"key":"6023_CR42","doi-asserted-by":"publisher","first-page":"1617","DOI":"10.1007\/s10554-011-9996-x","volume":"28","author":"S Tu","year":"2012","unstructured":"Tu S, Jing J, Holm NR et al (2012) In vivo assessment of bifurcation optimal viewing angles and bifurcation angles by three-dimensional (3D) quantitative coronary angiography. Int J Cardiovasc Imaging 28:1617\u20131625","journal-title":"Int J Cardiovasc Imaging"},{"key":"6023_CR43","doi-asserted-by":"publisher","first-page":"571","DOI":"10.1016\/j.jcin.2016.11.033","volume":"10","author":"HY Kim","year":"2017","unstructured":"Kim HY, Doh JH, Lim H-S et al (2017) Identification of coronary artery side branch supplying myocardial mass that may benefit from revascularization. JACC Cardiovasc Interv 10:571\u2013581","journal-title":"JACC Cardiovasc Interv"},{"key":"6023_CR44","doi-asserted-by":"publisher","first-page":"125","DOI":"10.1016\/j.jacc.2015.05.008","volume":"66","author":"Y Li","year":"2015","unstructured":"Li Y, Guti\u00e9rrez-Chico JL, Holm NR et al (2015) Impact of side branch modeling on computation of endothelial shear stress in coronary artery disease. J Am Coll Cardiol 66:125","journal-title":"J Am Coll Cardiol"},{"key":"6023_CR45","doi-asserted-by":"publisher","first-page":"2371","DOI":"10.1161\/01.CIR.102.19.2371","volume":"102","author":"NHJ Pijls","year":"2000","unstructured":"Pijls NHJ, De Bruyne B, Bech GJW et al (2000) Coronary pressure measurement to assess the hemodynamic significance of serial stenoses within one coronary artery. Circulation 102:2371","journal-title":"Circulation"},{"key":"6023_CR46","doi-asserted-by":"publisher","first-page":"A1578","DOI":"10.1016\/S0735-1097(18)32119-3","volume":"71","author":"K Monno","year":"2018","unstructured":"Monno K, Yoda S, Hatta T et al (2018) Optimal cut-off value of non-invasive fractional flow reserve for coronary revascularization using a combination of nuclear cardiology in patients with stable coronary artery disease. J Am Coll Cardiol 71:A1578","journal-title":"J Am Coll Cardiol"},{"key":"6023_CR47","doi-asserted-by":"publisher","first-page":"206","DOI":"10.1016\/j.ijcard.2016.01.097","volume":"207","author":"M Tebaldi","year":"2016","unstructured":"Tebaldi M, Biscaglia S, Pecoraro A, Fineschi M, Campo G (2016) Fractional flow reserve implementation in daily clinical practice: a European survey. Int J Cardiol 207:206\u2013207","journal-title":"Int J Cardiol"}],"container-title":["European Radiology"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00330-019-06023-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00330-019-06023-z\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00330-019-06023-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,3,17]],"date-time":"2020-03-17T00:12:36Z","timestamp":1584403956000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00330-019-06023-z"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,3,18]]},"references-count":47,"journal-issue":{"issue":"7","published-print":{"date-parts":[[2019,7]]}},"alternative-id":["6023"],"URL":"https:\/\/doi.org\/10.1007\/s00330-019-06023-z","relation":{},"ISSN":["0938-7994","1432-1084"],"issn-type":[{"value":"0938-7994","type":"print"},{"value":"1432-1084","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,3,18]]},"assertion":[{"value":"23 October 2018","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"20 December 2018","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"18 January 2019","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"18 March 2019","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Compliance with ethical standards"}},{"value":"The scientific guarantor of this publication is Feng Cao.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Guarantor"}},{"value":"The authors report no relationships that could be construed as a conflict of interest.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}},{"value":"No complex statistical methods were necessary for this paper.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Statistics and biometry"}},{"value":"Written informed consent was obtained.","order":5,"name":"Ethics","group":{"name":"EthicsHeading","label":"Informed consent"}},{"value":"Institutional Review Board approved the present study.","order":6,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical approval"}},{"value":"\u2022 retrospective\u2022 observational\u2022 performed at one institution","order":7,"name":"Ethics","group":{"name":"EthicsHeading","label":"Methodology"}}]}}