{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T15:32:38Z","timestamp":1759332758447,"version":"3.41.0"},"reference-count":30,"publisher":"Wiley","issue":"7","license":[{"start":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T00:00:00Z","timestamp":1742947200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Cathet Cardio Intervent"],"published-print":{"date-parts":[[2025,6]]},"abstract":"<jats:title>ABSTRACT<\/jats:title><jats:sec><jats:title>Background<\/jats:title><jats:p>With a 3D model reconstructed from coronary angiography, intracoronary blood flow can be calculated using a computational fluid dynamics (CFD) model with fractional flow reserve (FFR) measured\u00a0pressure as boundary conditions.<\/jats:p><\/jats:sec><jats:sec><jats:title>Aims<\/jats:title><jats:p>The aim of this study is to investigate the clinical feasibility of this method by evaluating its ability to identify myocardial ischemia diagnosed by SPECT myocardial perfusion imaging (MPI).<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>Patients who underwent both SPECT\u2010MPI and coronary angiography with FFR within 1 week were enrolled. Based on the summed stress score (SSS) and summed difference score (SDS) of SPECT MPI, myocardial ischemia in individual coronary territories was identified. Mean flow rate (<jats:italic>Q<\/jats:italic>), total flow resistance (TFR), absolute microvascular resistance (AMR) and their corresponding resting state indices were computed using the novel CFD model.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>A total of 52 patients with 53 vessels were investigated. Based on SPECT MPI, 23 patients (43.4%) were associated with abnormal MPI. <jats:italic>Q<\/jats:italic> was significant higher in normal MPI group compared with abnormal MPI group (59.68\u2009\u00b1\u200940.33\u2009mL\/min vs. 25.67\u2009\u00b1\u200921.55\u2009mL\/min, <jats:italic>p<\/jats:italic>\u2009&lt;\u20090.001). The TFR were significantly lower in normal MPI group (TFR: 1898.25\u2009\u00b1\u2009951.55\u2009mmHg\u2009min\/L vs. 4786.31\u2009\u00b1\u20093056.18\u2009mmHg\u2009min\/L, <jats:italic>p<\/jats:italic>\u2009&lt;\u20090.001). The ROC\u2010AUC of <jats:italic>Q<\/jats:italic> and TFR for discriminating normal and abnormal MPI were 0.876 (95% CI: 0.783\u20130.970, <jats:italic>p<\/jats:italic>\u2009&lt;\u20090.001) and 0.854 (95% CI: 0.745\u20130.963, <jats:italic>p<\/jats:italic>\u2009&lt;\u20090.001).<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>Intracoronary flow assessed by the novel CFD based method has shown promise in accurately identifying patients with abnormal SPECT MPI, offering a convenient and quantitative approach for assessing coronary physiology.<\/jats:p><\/jats:sec>","DOI":"10.1002\/ccd.31498","type":"journal-article","created":{"date-parts":[[2025,3,29]],"date-time":"2025-03-29T09:14:56Z","timestamp":1743239696000},"page":"1695-1706","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Validation of a Novel Computational Fluid Dynamics Based Method for Assessing Intracoronary Flow: Combining Coronary Angiography and Fractional Flow Reserve"],"prefix":"10.1002","volume":"105","author":[{"given":"Xinzhou","family":"Xie","sequence":"first","affiliation":[{"name":"Department of Information Engineering School of Electronics and Information Northwestern Polytechnical University Xi'an Shaanxi P.R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Na","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Cardiology Xi'an International Medical Center Hospital Northwest University Xi'an Shaanxi China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tiantong","family":"Yu","sequence":"additional","affiliation":[{"name":"Department of Cardiology The First Affiliated Hospital of the Fourth Military Medical University Xi'an Shaanxi P.R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wenjun","family":"Pu","sequence":"additional","affiliation":[{"name":"Department of Information Engineering School of Electronics and Information Northwestern Polytechnical University Xi'an Shaanxi P.R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Heqiang","family":"Lin","sequence":"additional","affiliation":[{"name":"Department of Information Engineering School of Electronics and Information Northwestern Polytechnical University Xi'an Shaanxi P.R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiang","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Nuclear Medicine The First Affiliated Hospital of the Fourth Military Medical University Xi'an Shaanxi P.R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guoquan","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Nuclear Medicine The First Affiliated Hospital of the Fourth Military Medical University Xi'an Shaanxi P.R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chengxiang","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Cardiology The First Affiliated Hospital of the Fourth Military Medical University Xi'an Shaanxi P.R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yan","family":"Chen","sequence":"additional","affiliation":[{"name":"Department of Cardiology No.971 Hospital of the PLA Navy Qingdao Shandong P.R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9420-5546","authenticated-orcid":false,"given":"Kun","family":"Lian","sequence":"additional","affiliation":[{"name":"Department of Cardiology The First Affiliated Hospital of the Fourth Military Medical University Xi'an Shaanxi P.R. 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