<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>2(3)</volume><submitter>Guo W</submitter><pubmed_abstract>&lt;h4>Aims&lt;/h4>A new model of computational fluid dynamics (CFD)-based algorithm for coronary CT angiography (CCTA)-derived fractional flow reserve (FFR) (CT-FFR) analysis by expanding the coronary tree to smaller-diameter lumen (0.8 mm) using Newton-Krylov-Schwarz (NKS) method to solve the three-dimensional time-dependent incompressible Navier-Stokes equations has been developed; however, the diagnostic performance of this new method has not been sufficiently investigated. The aim of this study was to determine the diagnostic performance of a novel CT-FFR technique by expanding the coronary tree in the CFD domain.&lt;h4>Methods and results&lt;/h4>Six centres enrolled 338 symptomatic patients with suspected or known coronary artery disease (CAD) who prospectively underwent CCTA and FFR. Stenosis a</pubmed_abstract><journal>European heart journal. Imaging methods and practice</journal><pagination>qyae106</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC11547952</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>CT-FFR by expanding coronary tree with Newton-Krylov-Schwarz method to solve the governing equations of CFD.</pubmed_title><pmcid>PMC11547952</pmcid><pubmed_authors>Shen L</pubmed_authors><pubmed_authors>Wu J</pubmed_authors><pubmed_authors>Gao B</pubmed_authors><pubmed_authors>Liu J</pubmed_authors><pubmed_authors>Jun J</pubmed_authors><pubmed_authors>Huang J</pubmed_authors><pubmed_authors>Lu Y</pubmed_authors><pubmed_authors>Guo W</pubmed_authors><pubmed_authors>Hu X</pubmed_authors><pubmed_authors>Zhang H</pubmed_authors><pubmed_authors>Ge J</pubmed_authors><pubmed_authors>Wei W</pubmed_authors><pubmed_authors>Wang J</pubmed_authors><pubmed_authors>Cheng Z</pubmed_authors><pubmed_authors>Yao Z</pubmed_authors><pubmed_authors>Jin H</pubmed_authors><pubmed_authors>Yan Z</pubmed_authors><pubmed_authors>Liang J</pubmed_authors><pubmed_authors>Wang X</pubmed_authors><pubmed_authors>Zhou H</pubmed_authors><pubmed_authors>Tong G</pubmed_authors><pubmed_authors>Chen R</pubmed_authors><pubmed_authors>Wu Y</pubmed_authors><pubmed_authors>Li C</pubmed_authors><pubmed_authors>Zeng M</pubmed_authors><pubmed_authors>He W</pubmed_authors><pubmed_authors>Yang R</pubmed_authors><pubmed_authors>Yang S</pubmed_authors><pubmed_authors>Yin J</pubmed_authors></additional><is_claimable>false</is_claimable><name>CT-FFR by expanding coronary tree with Newton-Krylov-Schwarz method to solve the governing equations of CFD.</name><description>&lt;h4>Aims&lt;/h4>A new model of computational fluid dynamics (CFD)-based algorithm for coronary CT angiography (CCTA)-derived fractional flow reserve (FFR) (CT-FFR) analysis by expanding the coronary tree to smaller-diameter lumen (0.8 mm) using Newton-Krylov-Schwarz (NKS) method to solve the three-dimensional time-dependent incompressible Navier-Stokes equations has been developed; however, the diagnostic performance of this new method has not been sufficiently investigated. The aim of this study was to determine the diagnostic performance of a novel CT-FFR technique by expanding the coronary tree in the CFD domain.&lt;h4>Methods and results&lt;/h4>Six centres enrolled 338 symptomatic patients with suspected or known coronary artery disease (CAD) who prospectively underwent CCTA and FFR. Stenosis a</description><dates><release>2024-01-01T00:00:00Z</release><publication>2024 Jul</publication><modification>2025-04-04T13:41:44.848Z</modification><creation>2025-04-04T13:41:44.848Z</creation></dates><accession>S-EPMC11547952</accession><cross_references><pubmed>39525515</pubmed><doi>10.1093/ehjimp/qyae106</doi></cross_references></HashMap>