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Diagnostic performance of noninvasive fractional flow reserve derived from coronary computed tomography angiography in coronary artery disease: A systematic review and meta-analysis

Abstract Background The study performed a meta-analysis of the diagnostic performance of fractional flow reserve (FFR) derived from coronary computed tomography angiography (FFRCT ) to assess the functional significance of coronary stenosis using FFR as the reference standard. Methods We searched th...

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Published in:International journal of cardiology 2015-04, Vol.184, p.703-709
Main Authors: Deng, Song-Bai, Jing, Xiao-Dong, Wang, Jing, Huang, Chuan, Xia, Shuang, Du, Jian-Lin, Liu, Ya-Jie, She, Qiang
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container_title International journal of cardiology
container_volume 184
creator Deng, Song-Bai
Jing, Xiao-Dong
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Huang, Chuan
Xia, Shuang
Du, Jian-Lin
Liu, Ya-Jie
She, Qiang
description Abstract Background The study performed a meta-analysis of the diagnostic performance of fractional flow reserve (FFR) derived from coronary computed tomography angiography (FFRCT ) to assess the functional significance of coronary stenosis using FFR as the reference standard. Methods We searched the electronic databases of PubMed, EMBASE, The Chorance Library, Medion and Web of Science for relevant articles published until August 2014. Pooled estimates of sensitivity, specificity, positive (LR +) and negative likelihood ratios (LR −) with the corresponding 95% confidence intervals (CIs) and the summary receiver operating characteristic curve (SROC) were determined. Results Five studies, 706 patients and 1165 vessels or lesions were included in the meta-analysis. The pooled sensitivity and specificity for FFRCT at the per-patient level were 90% (95% CI, 85%–93%) and 72% (95% CI, 67%–76%), respectively. The corresponding pooled LR + and LR − were 3.70 (95% CI, 2.11–6.49) and 0.15 (95% CI, 0.11–0.22), respectively. The pooled sensitivity and specificity for FFRCT on the per-vessel or per-lesion basis were 83% (95% CI, 79%–87%) and 78% (95% CI, 75%–81%), respectively. Corresponding pooled LR + and LR − were 3.75 (95% CI, 2.09–6.74) and 0.22 (95% CI, 0.18–0.29), respectively. The area under the SROC (AUC) was 0.94 at the per-patient level and 0. 91 at the per-vessel or per-lesion level. Conclusions The existing evidence suggests that noninvasive FFRCT has high diagnostic performance compared with invasively measured FFR for the detection of ischemia-causing stenosis in stable patients with suspected or known coronary artery disease (CAD).
doi_str_mv 10.1016/j.ijcard.2015.03.025
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Methods We searched the electronic databases of PubMed, EMBASE, The Chorance Library, Medion and Web of Science for relevant articles published until August 2014. Pooled estimates of sensitivity, specificity, positive (LR +) and negative likelihood ratios (LR −) with the corresponding 95% confidence intervals (CIs) and the summary receiver operating characteristic curve (SROC) were determined. Results Five studies, 706 patients and 1165 vessels or lesions were included in the meta-analysis. The pooled sensitivity and specificity for FFRCT at the per-patient level were 90% (95% CI, 85%–93%) and 72% (95% CI, 67%–76%), respectively. The corresponding pooled LR + and LR − were 3.70 (95% CI, 2.11–6.49) and 0.15 (95% CI, 0.11–0.22), respectively. The pooled sensitivity and specificity for FFRCT on the per-vessel or per-lesion basis were 83% (95% CI, 79%–87%) and 78% (95% CI, 75%–81%), respectively. Corresponding pooled LR + and LR − were 3.75 (95% CI, 2.09–6.74) and 0.22 (95% CI, 0.18–0.29), respectively. The area under the SROC (AUC) was 0.94 at the per-patient level and 0. 91 at the per-vessel or per-lesion level. Conclusions The existing evidence suggests that noninvasive FFRCT has high diagnostic performance compared with invasively measured FFR for the detection of ischemia-causing stenosis in stable patients with suspected or known coronary artery disease (CAD).</description><identifier>ISSN: 0167-5273</identifier><identifier>EISSN: 1874-1754</identifier><identifier>DOI: 10.1016/j.ijcard.2015.03.025</identifier><identifier>PMID: 25781722</identifier><language>eng</language><publisher>Netherlands: Elsevier B.V</publisher><subject>Cardiovascular ; Coronary Angiography - standards ; Coronary Artery Disease - diagnostic imaging ; Coronary Artery Disease - physiopathology ; Coronary computed tomography angiography ; Diagnostic accuracy ; Fractional flow reserve ; Fractional Flow Reserve, Myocardial - physiology ; Humans ; Meta-analysis ; Tomography, X-Ray Computed - standards</subject><ispartof>International journal of cardiology, 2015-04, Vol.184, p.703-709</ispartof><rights>Elsevier Ireland Ltd</rights><rights>2015 Elsevier Ireland Ltd</rights><rights>Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c483t-7176cf4fa4d205d5cfbd586f9e013dc74017aa107b02b021969f79a030fe6d2e3</citedby><cites>FETCH-LOGICAL-c483t-7176cf4fa4d205d5cfbd586f9e013dc74017aa107b02b021969f79a030fe6d2e3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25781722$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Deng, Song-Bai</creatorcontrib><creatorcontrib>Jing, Xiao-Dong</creatorcontrib><creatorcontrib>Wang, Jing</creatorcontrib><creatorcontrib>Huang, Chuan</creatorcontrib><creatorcontrib>Xia, Shuang</creatorcontrib><creatorcontrib>Du, Jian-Lin</creatorcontrib><creatorcontrib>Liu, Ya-Jie</creatorcontrib><creatorcontrib>She, Qiang</creatorcontrib><title>Diagnostic performance of noninvasive fractional flow reserve derived from coronary computed tomography angiography in coronary artery disease: A systematic review and meta-analysis</title><title>International journal of cardiology</title><addtitle>Int J Cardiol</addtitle><description>Abstract Background The study performed a meta-analysis of the diagnostic performance of fractional flow reserve (FFR) derived from coronary computed tomography angiography (FFRCT ) to assess the functional significance of coronary stenosis using FFR as the reference standard. Methods We searched the electronic databases of PubMed, EMBASE, The Chorance Library, Medion and Web of Science for relevant articles published until August 2014. Pooled estimates of sensitivity, specificity, positive (LR +) and negative likelihood ratios (LR −) with the corresponding 95% confidence intervals (CIs) and the summary receiver operating characteristic curve (SROC) were determined. Results Five studies, 706 patients and 1165 vessels or lesions were included in the meta-analysis. The pooled sensitivity and specificity for FFRCT at the per-patient level were 90% (95% CI, 85%–93%) and 72% (95% CI, 67%–76%), respectively. The corresponding pooled LR + and LR − were 3.70 (95% CI, 2.11–6.49) and 0.15 (95% CI, 0.11–0.22), respectively. The pooled sensitivity and specificity for FFRCT on the per-vessel or per-lesion basis were 83% (95% CI, 79%–87%) and 78% (95% CI, 75%–81%), respectively. Corresponding pooled LR + and LR − were 3.75 (95% CI, 2.09–6.74) and 0.22 (95% CI, 0.18–0.29), respectively. The area under the SROC (AUC) was 0.94 at the per-patient level and 0. 91 at the per-vessel or per-lesion level. Conclusions The existing evidence suggests that noninvasive FFRCT has high diagnostic performance compared with invasively measured FFR for the detection of ischemia-causing stenosis in stable patients with suspected or known coronary artery disease (CAD).</description><subject>Cardiovascular</subject><subject>Coronary Angiography - standards</subject><subject>Coronary Artery Disease - diagnostic imaging</subject><subject>Coronary Artery Disease - physiopathology</subject><subject>Coronary computed tomography angiography</subject><subject>Diagnostic accuracy</subject><subject>Fractional flow reserve</subject><subject>Fractional Flow Reserve, Myocardial - physiology</subject><subject>Humans</subject><subject>Meta-analysis</subject><subject>Tomography, X-Ray Computed - standards</subject><issn>0167-5273</issn><issn>1874-1754</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><recordid>eNqFUkuLFDEQDqK44-o_EMnRS7dJ-pFuD8KyPmHBg3oOmaQypu3ujEl6lv5h_j-rmV0FL0JBFVVfPb8i5DlnJWe8fTWUfjA62lIw3pSsKploHpAd72RdcNnUD8kOYbJohKwuyJOUBsZY3ffdY3IhGtlxKcSO_Hrr9WEOKXtDjxBdiJOeDdDg6BxmP5908iegLmqTfZj1SN0YbmmEBBH9FiKGLcbDRE2IiIgrGtNxyejOYQqHqI_fV6rng7-3_fwXq2MGVNYn0Ale0yua1pRh0ttEEU4ebjHX0gmyLjQOsCafnpJHTo8Jnt3pS_Lt_buv1x-Lm88fPl1f3RSm7qpcSC5b42qnaytYYxvj9rbpWtcD45U1smZcas2Z3DOBwvu2d7LXrGIOWiuguiQvz3WPMfxcIGU1-WRgHPUMYUkK7yu7TjZth9D6DDUxpBTBqWP0E26oOFMbYWpQZ8LURphilULCMO3FXYdlP4H9k3TPEALenAGAe-I1okrGA1JkfQSTlQ3-fx3-LWBGP3ujxx-wQhrCEvGquItKQjH1ZXua7Wd4w5hoq7b6DW8Ow3g</recordid><startdate>20150401</startdate><enddate>20150401</enddate><creator>Deng, Song-Bai</creator><creator>Jing, Xiao-Dong</creator><creator>Wang, Jing</creator><creator>Huang, Chuan</creator><creator>Xia, Shuang</creator><creator>Du, Jian-Lin</creator><creator>Liu, Ya-Jie</creator><creator>She, Qiang</creator><general>Elsevier B.V</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>20150401</creationdate><title>Diagnostic performance of noninvasive fractional flow reserve derived from coronary computed tomography angiography in coronary artery disease: A systematic review and meta-analysis</title><author>Deng, Song-Bai ; 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Methods We searched the electronic databases of PubMed, EMBASE, The Chorance Library, Medion and Web of Science for relevant articles published until August 2014. Pooled estimates of sensitivity, specificity, positive (LR +) and negative likelihood ratios (LR −) with the corresponding 95% confidence intervals (CIs) and the summary receiver operating characteristic curve (SROC) were determined. Results Five studies, 706 patients and 1165 vessels or lesions were included in the meta-analysis. The pooled sensitivity and specificity for FFRCT at the per-patient level were 90% (95% CI, 85%–93%) and 72% (95% CI, 67%–76%), respectively. The corresponding pooled LR + and LR − were 3.70 (95% CI, 2.11–6.49) and 0.15 (95% CI, 0.11–0.22), respectively. The pooled sensitivity and specificity for FFRCT on the per-vessel or per-lesion basis were 83% (95% CI, 79%–87%) and 78% (95% CI, 75%–81%), respectively. Corresponding pooled LR + and LR − were 3.75 (95% CI, 2.09–6.74) and 0.22 (95% CI, 0.18–0.29), respectively. The area under the SROC (AUC) was 0.94 at the per-patient level and 0. 91 at the per-vessel or per-lesion level. Conclusions The existing evidence suggests that noninvasive FFRCT has high diagnostic performance compared with invasively measured FFR for the detection of ischemia-causing stenosis in stable patients with suspected or known coronary artery disease (CAD).</abstract><cop>Netherlands</cop><pub>Elsevier B.V</pub><pmid>25781722</pmid><doi>10.1016/j.ijcard.2015.03.025</doi><tpages>7</tpages></addata></record>
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subjects Cardiovascular
Coronary Angiography - standards
Coronary Artery Disease - diagnostic imaging
Coronary Artery Disease - physiopathology
Coronary computed tomography angiography
Diagnostic accuracy
Fractional flow reserve
Fractional Flow Reserve, Myocardial - physiology
Humans
Meta-analysis
Tomography, X-Ray Computed - standards
title Diagnostic performance of noninvasive fractional flow reserve derived from coronary computed tomography angiography in coronary artery disease: A systematic review and meta-analysis
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