FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2022908740> ?p ?o ?g. }

• W2022908740 endingPage "29" @default.
• W2022908740 startingPage "23" @default.
• W2022908740 abstract "The objective of this study was to compare the diagnostic accuracy of quantitative coronary angiography (QCA), coronary computed tomography angiography (CTA), and intravascular ultrasound (IVUS) with fractional flow reserve (FFR) measurements. Eighty-five lesions (40% to 99% diameter stenosis) in 85 patients were prospectively interrogated by QCA, CTA, IVUS, and FFR. Minimal lumen diameter (MLD), percent diameter stenosis (%DS), minimal lumen area (MLA), and percent area stenosis (%AS) were measured. Correlation, receiver operating characteristic analysis, kappa statistics, and multivariable logistic regression was used to assess relation between anatomic measurements and FFR. Average age was 61.3 ± 7.8; 62% were men. QCA-derived mean %DS was 55.3% ± 19.5%; mean FFR 0.81 ± 0.17; 27% had FFR ≤0.75. QCA had the strongest correlation, followed by CTA and then IVUS for MLD (r = 0.67, 0.47, and 0.29, respectively) and for %DS (r = -0.63, -0.52, and -0.22, respectively); QCA-derived MLD had area under the curve of 0.96, with 95% sensitivity and 82% specificity. Cut-point, area under the curve, sensitivity, and specificity for CTA-MLA and IVUS-MLA were 3.11 mm(2), 0.86, 81%, and 81% and 2.68 mm(2), 0.75, 70%, and 80%. In multivariable analysis for each modality, MLD on QCA (odds ratio [OR]: 0.002), %AS on CTA (OR: 1.09) and MLA on IVUS (OR: 0.28) remained independent predictors. In conclusion, in intermediate-to-severe lesions, QCA-, CTA-, and IVUS-derived quantitative anatomic measurements correlated with FFR. CTA-derived cut-points were similar to respective measurements on QCA and IVUS and had similar or better diagnostic performance compared with IVUS." @default.
• W2022908740 created "2016-06-24" @default.
• W2022908740 creator A5000191064 @default.
• W2022908740 creator A5012100106 @default.
• W2022908740 creator A5014026734 @default.
• W2022908740 creator A5018577838 @default.
• W2022908740 creator A5018755692 @default.
• W2022908740 creator A5027722298 @default.
• W2022908740 creator A5044886611 @default.
• W2022908740 creator A5045099661 @default.
• W2022908740 creator A5069248221 @default.
• W2022908740 creator A5075228784 @default.
• W2022908740 creator A5079256646 @default.
• W2022908740 creator A5081735500 @default.
• W2022908740 creator A5085981814 @default.
• W2022908740 date "2014-01-01" @default.
• W2022908740 modified "2023-09-26" @default.
• W2022908740 title "Prospective, Head-to-Head Comparison of Quantitative Coronary Angiography, Quantitative Computed Tomography Angiography, and Intravascular Ultrasound for the Prediction of Hemodynamic Significance in Intermediate and Severe Lesions, Using Fractional Flow Reserve as Reference Standard (from the ATLANTA I and II Study)" @default.
• W2022908740 cites W113768872 @default.
• W2022908740 cites W1540562167 @default.
• W2022908740 cites W1904047195 @default.
• W2022908740 cites W1983862722 @default.
• W2022908740 cites W2043699638 @default.
• W2022908740 cites W2046115776 @default.
• W2022908740 cites W2075634649 @default.
• W2022908740 cites W2094566437 @default.
• W2022908740 cites W2095680098 @default.
• W2022908740 cites W2109899759 @default.
• W2022908740 cites W2140129571 @default.
• W2022908740 cites W4206743071 @default.
• W2022908740 cites W66253097 @default.
• W2022908740 doi "https://doi.org/10.1016/j.amjcard.2013.09.010" @default.
• W2022908740 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/4007350" @default.
• W2022908740 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/24238960" @default.
• W2022908740 hasPublicationYear "2014" @default.
• W2022908740 type Work @default.
• W2022908740 sameAs 2022908740 @default.
• W2022908740 citedByCount "40" @default.
• W2022908740 countsByYear W20229087402014 @default.
• W2022908740 countsByYear W20229087402015 @default.
• W2022908740 countsByYear W20229087402016 @default.
• W2022908740 countsByYear W20229087402017 @default.
• W2022908740 countsByYear W20229087402018 @default.
• W2022908740 countsByYear W20229087402019 @default.
• W2022908740 countsByYear W20229087402020 @default.
• W2022908740 countsByYear W20229087402021 @default.
• W2022908740 countsByYear W20229087402022 @default.
• W2022908740 crossrefType "journal-article" @default.
• W2022908740 hasAuthorship W2022908740A5000191064 @default.
• W2022908740 hasAuthorship W2022908740A5012100106 @default.
• W2022908740 hasAuthorship W2022908740A5014026734 @default.
• W2022908740 hasAuthorship W2022908740A5018577838 @default.
• W2022908740 hasAuthorship W2022908740A5018755692 @default.
• W2022908740 hasAuthorship W2022908740A5027722298 @default.
• W2022908740 hasAuthorship W2022908740A5044886611 @default.
• W2022908740 hasAuthorship W2022908740A5045099661 @default.
• W2022908740 hasAuthorship W2022908740A5069248221 @default.
• W2022908740 hasAuthorship W2022908740A5075228784 @default.
• W2022908740 hasAuthorship W2022908740A5079256646 @default.
• W2022908740 hasAuthorship W2022908740A5081735500 @default.
• W2022908740 hasAuthorship W2022908740A5085981814 @default.
• W2022908740 hasBestOaLocation W20229087402 @default.
• W2022908740 hasConcept C126322002 @default.
• W2022908740 hasConcept C126838900 @default.
• W2022908740 hasConcept C131631996 @default.
• W2022908740 hasConcept C143753070 @default.
• W2022908740 hasConcept C164705383 @default.
• W2022908740 hasConcept C178853913 @default.
• W2022908740 hasConcept C2776931568 @default.
• W2022908740 hasConcept C2777987666 @default.
• W2022908740 hasConcept C2780007028 @default.
• W2022908740 hasConcept C2780643987 @default.
• W2022908740 hasConcept C2781347138 @default.
• W2022908740 hasConcept C2989005 @default.
• W2022908740 hasConcept C3019004856 @default.
• W2022908740 hasConcept C500558357 @default.
• W2022908740 hasConcept C58471807 @default.
• W2022908740 hasConcept C71924100 @default.
• W2022908740 hasConcept C76318530 @default.
• W2022908740 hasConceptScore W2022908740C126322002 @default.
• W2022908740 hasConceptScore W2022908740C126838900 @default.
• W2022908740 hasConceptScore W2022908740C131631996 @default.
• W2022908740 hasConceptScore W2022908740C143753070 @default.
• W2022908740 hasConceptScore W2022908740C164705383 @default.
• W2022908740 hasConceptScore W2022908740C178853913 @default.
• W2022908740 hasConceptScore W2022908740C2776931568 @default.
• W2022908740 hasConceptScore W2022908740C2777987666 @default.
• W2022908740 hasConceptScore W2022908740C2780007028 @default.
• W2022908740 hasConceptScore W2022908740C2780643987 @default.
• W2022908740 hasConceptScore W2022908740C2781347138 @default.
• W2022908740 hasConceptScore W2022908740C2989005 @default.
• W2022908740 hasConceptScore W2022908740C3019004856 @default.
• W2022908740 hasConceptScore W2022908740C500558357 @default.
• W2022908740 hasConceptScore W2022908740C58471807 @default.
• W2022908740 hasConceptScore W2022908740C71924100 @default.
• W2022908740 hasConceptScore W2022908740C76318530 @default.
• W2022908740 hasIssue "1" @default.
• W2022908740 hasLocation W20229087401 @default.

• next