Coronary CT angiography derived fractional flow reserve: Methodology and evaluation of a point of care algorithm

Abstract Background Recently several publications described the diagnostic value of coronary CT angiography (coronary CTA) derived fractional flow reserve (CTA-FFR). For a recently introduced on-site CTA-FFR application, detailed methodology and factors potentially affecting performance have not yet...

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Veröffentlicht in:Journal of cardiovascular computed tomography 2016-03, Vol.10 (2), p.105-113
Hauptverfasser: Coenen, Adriaan, Lubbers, Marisa M, Kurata, Akira, Kono, Atsushi, Dedic, Admir, Chelu, Raluca G, Dijkshoorn, Marcel L, van Geuns, Robert-Jan M, Schoebinger, Max, Itu, Lucian, Sharma, Puneet, Nieman, Koen
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container_end_page 113
container_issue 2
container_start_page 105
container_title Journal of cardiovascular computed tomography
container_volume 10
creator Coenen, Adriaan
Lubbers, Marisa M
Kurata, Akira
Kono, Atsushi
Dedic, Admir
Chelu, Raluca G
Dijkshoorn, Marcel L
van Geuns, Robert-Jan M
Schoebinger, Max
Itu, Lucian
Sharma, Puneet
Nieman, Koen
description Abstract Background Recently several publications described the diagnostic value of coronary CT angiography (coronary CTA) derived fractional flow reserve (CTA-FFR). For a recently introduced on-site CTA-FFR application, detailed methodology and factors potentially affecting performance have not yet been described. Objective To provide a methodological background for an on-site CTA-FFR application and evaluate the effect of patient and acquisition characteristics. Methods The on-site CTA-FFR application utilized a reduced-order hybrid model applying pressure drop models within stenotic regions. In 116 patients and 203 vessels the diagnostic performance of CTA-FFR was investigated using invasive FFR measurements as a reference. The effect of several potentially relevant factors on CTA-FFR was investigated. Results 90 vessels (44%) had a hemodynamically relevant stenosis according to invasive FFR (threshold ≤0.80). The overall vessel-based sensitivity, specificity and accuracy of CTA-FFR were 88% (CI 95%:79–94%), 65% (55–73%) and 75% (69–81%). The specificity was significantly lower in the presence of misalignment artifacts (25%, CI: 6–57%). A non-significant reduction in specificity from 74% (60–85%) to 48% (26–70%) was found for higher coronary artery calcium scores. Left ventricular mass, diabetes mellitus and large vessel size increased the discrepancy between invasive FFR and CTA-FFR values. Conclusions On-site calculation of CTA-FFR can identify hemodynamically significant CAD with an overall per-vessel accuracy of 75% in comparison to invasive FFR. The diagnostic performance of CTA-FFR is negatively affected by misalignment artifacts. CTA-FFR is potentially affected by left ventricular mass, diabetes mellitus and vessel size.
doi_str_mv 10.1016/j.jcct.2015.12.006
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For a recently introduced on-site CTA-FFR application, detailed methodology and factors potentially affecting performance have not yet been described. Objective To provide a methodological background for an on-site CTA-FFR application and evaluate the effect of patient and acquisition characteristics. Methods The on-site CTA-FFR application utilized a reduced-order hybrid model applying pressure drop models within stenotic regions. In 116 patients and 203 vessels the diagnostic performance of CTA-FFR was investigated using invasive FFR measurements as a reference. The effect of several potentially relevant factors on CTA-FFR was investigated. Results 90 vessels (44%) had a hemodynamically relevant stenosis according to invasive FFR (threshold ≤0.80). The overall vessel-based sensitivity, specificity and accuracy of CTA-FFR were 88% (CI 95%:79–94%), 65% (55–73%) and 75% (69–81%). The specificity was significantly lower in the presence of misalignment artifacts (25%, CI: 6–57%). A non-significant reduction in specificity from 74% (60–85%) to 48% (26–70%) was found for higher coronary artery calcium scores. Left ventricular mass, diabetes mellitus and large vessel size increased the discrepancy between invasive FFR and CTA-FFR values. Conclusions On-site calculation of CTA-FFR can identify hemodynamically significant CAD with an overall per-vessel accuracy of 75% in comparison to invasive FFR. The diagnostic performance of CTA-FFR is negatively affected by misalignment artifacts. CTA-FFR is potentially affected by left ventricular mass, diabetes mellitus and vessel size.</description><identifier>ISSN: 1934-5925</identifier><identifier>EISSN: 1876-861X</identifier><identifier>DOI: 10.1016/j.jcct.2015.12.006</identifier><identifier>PMID: 26747231</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Aged ; Algorithms ; Cardiac Catheterization ; Cardiovascular ; Computational fluid dynamics ; Computed Tomography Angiography ; Coronary Angiography - methods ; Coronary Artery Disease - diagnostic imaging ; Coronary Artery Disease - physiopathology ; Coronary CT angiography ; Coronary Stenosis - diagnostic imaging ; Coronary Stenosis - physiopathology ; Coronary Vessels - diagnostic imaging ; Coronary Vessels - physiopathology ; Diagnostic performance ; Female ; Fractional flow reserve ; Fractional Flow Reserve, Myocardial ; Humans ; Hydrodynamics ; Male ; Middle Aged ; Multidetector Computed Tomography ; Multivariate Analysis ; Point-of-Care Testing ; Predictive Value of Tests ; Prognosis ; Radiographic Image Interpretation, Computer-Assisted ; Reproducibility of Results ; Retrospective Studies ; Severity of Illness Index ; Vascular Calcification - diagnostic imaging ; Vascular Calcification - physiopathology</subject><ispartof>Journal of cardiovascular computed tomography, 2016-03, Vol.10 (2), p.105-113</ispartof><rights>Society of Cardiovascular Computed Tomography</rights><rights>2016 Society of Cardiovascular Computed Tomography</rights><rights>Copyright © 2016 Society of Cardiovascular Computed Tomography. Published by Elsevier Inc. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c477t-87895f912c99b826fb885da118259515dd8f74af8f8524c7b9c619a1e6adbb0d3</citedby><cites>FETCH-LOGICAL-c477t-87895f912c99b826fb885da118259515dd8f74af8f8524c7b9c619a1e6adbb0d3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.jcct.2015.12.006$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>315,782,786,3552,27931,27932,46002</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/26747231$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Coenen, Adriaan</creatorcontrib><creatorcontrib>Lubbers, Marisa M</creatorcontrib><creatorcontrib>Kurata, Akira</creatorcontrib><creatorcontrib>Kono, Atsushi</creatorcontrib><creatorcontrib>Dedic, Admir</creatorcontrib><creatorcontrib>Chelu, Raluca G</creatorcontrib><creatorcontrib>Dijkshoorn, Marcel L</creatorcontrib><creatorcontrib>van Geuns, Robert-Jan M</creatorcontrib><creatorcontrib>Schoebinger, Max</creatorcontrib><creatorcontrib>Itu, Lucian</creatorcontrib><creatorcontrib>Sharma, Puneet</creatorcontrib><creatorcontrib>Nieman, Koen</creatorcontrib><title>Coronary CT angiography derived fractional flow reserve: Methodology and evaluation of a point of care algorithm</title><title>Journal of cardiovascular computed tomography</title><addtitle>J Cardiovasc Comput Tomogr</addtitle><description>Abstract Background Recently several publications described the diagnostic value of coronary CT angiography (coronary CTA) derived fractional flow reserve (CTA-FFR). For a recently introduced on-site CTA-FFR application, detailed methodology and factors potentially affecting performance have not yet been described. Objective To provide a methodological background for an on-site CTA-FFR application and evaluate the effect of patient and acquisition characteristics. Methods The on-site CTA-FFR application utilized a reduced-order hybrid model applying pressure drop models within stenotic regions. In 116 patients and 203 vessels the diagnostic performance of CTA-FFR was investigated using invasive FFR measurements as a reference. The effect of several potentially relevant factors on CTA-FFR was investigated. Results 90 vessels (44%) had a hemodynamically relevant stenosis according to invasive FFR (threshold ≤0.80). The overall vessel-based sensitivity, specificity and accuracy of CTA-FFR were 88% (CI 95%:79–94%), 65% (55–73%) and 75% (69–81%). The specificity was significantly lower in the presence of misalignment artifacts (25%, CI: 6–57%). A non-significant reduction in specificity from 74% (60–85%) to 48% (26–70%) was found for higher coronary artery calcium scores. Left ventricular mass, diabetes mellitus and large vessel size increased the discrepancy between invasive FFR and CTA-FFR values. Conclusions On-site calculation of CTA-FFR can identify hemodynamically significant CAD with an overall per-vessel accuracy of 75% in comparison to invasive FFR. The diagnostic performance of CTA-FFR is negatively affected by misalignment artifacts. 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Lubbers, Marisa M ; Kurata, Akira ; Kono, Atsushi ; Dedic, Admir ; Chelu, Raluca G ; Dijkshoorn, Marcel L ; van Geuns, Robert-Jan M ; Schoebinger, Max ; Itu, Lucian ; Sharma, Puneet ; Nieman, Koen</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c477t-87895f912c99b826fb885da118259515dd8f74af8f8524c7b9c619a1e6adbb0d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Aged</topic><topic>Algorithms</topic><topic>Cardiac Catheterization</topic><topic>Cardiovascular</topic><topic>Computational fluid dynamics</topic><topic>Computed Tomography Angiography</topic><topic>Coronary Angiography - methods</topic><topic>Coronary Artery Disease - diagnostic imaging</topic><topic>Coronary Artery Disease - physiopathology</topic><topic>Coronary CT angiography</topic><topic>Coronary Stenosis - diagnostic imaging</topic><topic>Coronary Stenosis - physiopathology</topic><topic>Coronary Vessels - diagnostic imaging</topic><topic>Coronary Vessels - physiopathology</topic><topic>Diagnostic performance</topic><topic>Female</topic><topic>Fractional flow reserve</topic><topic>Fractional Flow Reserve, Myocardial</topic><topic>Humans</topic><topic>Hydrodynamics</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Multidetector Computed Tomography</topic><topic>Multivariate Analysis</topic><topic>Point-of-Care Testing</topic><topic>Predictive Value of Tests</topic><topic>Prognosis</topic><topic>Radiographic Image Interpretation, Computer-Assisted</topic><topic>Reproducibility of Results</topic><topic>Retrospective Studies</topic><topic>Severity of Illness Index</topic><topic>Vascular Calcification - diagnostic imaging</topic><topic>Vascular Calcification - physiopathology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Coenen, Adriaan</creatorcontrib><creatorcontrib>Lubbers, Marisa M</creatorcontrib><creatorcontrib>Kurata, Akira</creatorcontrib><creatorcontrib>Kono, Atsushi</creatorcontrib><creatorcontrib>Dedic, Admir</creatorcontrib><creatorcontrib>Chelu, Raluca G</creatorcontrib><creatorcontrib>Dijkshoorn, Marcel L</creatorcontrib><creatorcontrib>van Geuns, Robert-Jan M</creatorcontrib><creatorcontrib>Schoebinger, Max</creatorcontrib><creatorcontrib>Itu, Lucian</creatorcontrib><creatorcontrib>Sharma, Puneet</creatorcontrib><creatorcontrib>Nieman, Koen</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of cardiovascular computed tomography</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Coenen, Adriaan</au><au>Lubbers, Marisa M</au><au>Kurata, Akira</au><au>Kono, Atsushi</au><au>Dedic, Admir</au><au>Chelu, Raluca G</au><au>Dijkshoorn, Marcel L</au><au>van Geuns, Robert-Jan M</au><au>Schoebinger, Max</au><au>Itu, Lucian</au><au>Sharma, Puneet</au><au>Nieman, Koen</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Coronary CT angiography derived fractional flow reserve: Methodology and evaluation of a point of care algorithm</atitle><jtitle>Journal of cardiovascular computed tomography</jtitle><addtitle>J Cardiovasc Comput Tomogr</addtitle><date>2016-03-01</date><risdate>2016</risdate><volume>10</volume><issue>2</issue><spage>105</spage><epage>113</epage><pages>105-113</pages><issn>1934-5925</issn><eissn>1876-861X</eissn><abstract>Abstract Background Recently several publications described the diagnostic value of coronary CT angiography (coronary CTA) derived fractional flow reserve (CTA-FFR). For a recently introduced on-site CTA-FFR application, detailed methodology and factors potentially affecting performance have not yet been described. Objective To provide a methodological background for an on-site CTA-FFR application and evaluate the effect of patient and acquisition characteristics. Methods The on-site CTA-FFR application utilized a reduced-order hybrid model applying pressure drop models within stenotic regions. In 116 patients and 203 vessels the diagnostic performance of CTA-FFR was investigated using invasive FFR measurements as a reference. The effect of several potentially relevant factors on CTA-FFR was investigated. Results 90 vessels (44%) had a hemodynamically relevant stenosis according to invasive FFR (threshold ≤0.80). The overall vessel-based sensitivity, specificity and accuracy of CTA-FFR were 88% (CI 95%:79–94%), 65% (55–73%) and 75% (69–81%). The specificity was significantly lower in the presence of misalignment artifacts (25%, CI: 6–57%). A non-significant reduction in specificity from 74% (60–85%) to 48% (26–70%) was found for higher coronary artery calcium scores. Left ventricular mass, diabetes mellitus and large vessel size increased the discrepancy between invasive FFR and CTA-FFR values. Conclusions On-site calculation of CTA-FFR can identify hemodynamically significant CAD with an overall per-vessel accuracy of 75% in comparison to invasive FFR. The diagnostic performance of CTA-FFR is negatively affected by misalignment artifacts. CTA-FFR is potentially affected by left ventricular mass, diabetes mellitus and vessel size.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>26747231</pmid><doi>10.1016/j.jcct.2015.12.006</doi><tpages>9</tpages></addata></record>
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subjects Aged
Algorithms
Cardiac Catheterization
Cardiovascular
Computational fluid dynamics
Computed Tomography Angiography
Coronary Angiography - methods
Coronary Artery Disease - diagnostic imaging
Coronary Artery Disease - physiopathology
Coronary CT angiography
Coronary Stenosis - diagnostic imaging
Coronary Stenosis - physiopathology
Coronary Vessels - diagnostic imaging
Coronary Vessels - physiopathology
Diagnostic performance
Female
Fractional flow reserve
Fractional Flow Reserve, Myocardial
Humans
Hydrodynamics
Male
Middle Aged
Multidetector Computed Tomography
Multivariate Analysis
Point-of-Care Testing
Predictive Value of Tests
Prognosis
Radiographic Image Interpretation, Computer-Assisted
Reproducibility of Results
Retrospective Studies
Severity of Illness Index
Vascular Calcification - diagnostic imaging
Vascular Calcification - physiopathology
title Coronary CT angiography derived fractional flow reserve: Methodology and evaluation of a point of care algorithm
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