Diagnostic performance of noninvasive fractional flow reserve derived from coronary computed tomography angiography in ischemia-causing coronary stenosis: a meta-analysis
Purpose Fractional flow reserve based on coronary computed tomographic angiography (CCTA; FFR CT ) can evaluate functional severity in coronary artery disease (CAD). This study investigated the diagnostic value of FFR CT for determining CAD severity. Materials and methods Medline, Cochrane, EMBASE,...
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Veröffentlicht in: | Japanese journal of radiology 2016-12, Vol.34 (12), p.795-808 |
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container_title | Japanese journal of radiology |
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creator | Ding, Aimin Qiu, Guoqing Lin, Wensheng Hu, Ling Lu, Guangliang Long, Xiang Hong, Xin Chen, Yaohua Luo, Xiaoping Tang, Qinqin Deng, Dongqin |
description | Purpose
Fractional flow reserve based on coronary computed tomographic angiography (CCTA; FFR
CT
) can evaluate functional severity in coronary artery disease (CAD). This study investigated the diagnostic value of FFR
CT
for determining CAD severity.
Materials and methods
Medline, Cochrane, EMBASE, and Google Scholar databases were searched until June 16, 2016 using the following search terms: fractional flow reserve, coronary computed tomography angiography, myocardial ischemia. Randomized controlled trials, two-arm prospective studies, and retrospective studies were included in the analysis.
Results
Twenty-one studies were included with a total of 2216 subjects and 2798 vessels. FFR
CT
, sensitivity per-vessel and per-patient were ≥82% and specificity was ≥73% for diagnosis of ischemia. FFR
CT
had better diagnostic accuracy and discrimination than CCTA.
Conclusion
This study indicates that FFR
CT
may be a good tool for screening and diagnosing of myocardial ischemia in patients with CAD. |
doi_str_mv | 10.1007/s11604-016-0589-4 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1868331952</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>4267396361</sourcerecordid><originalsourceid>FETCH-LOGICAL-c495t-619c205b25a43b0d05fee6d930e8a0ad5461ec596e2b61af5feaf2d812a4ebe3</originalsourceid><addsrcrecordid>eNqNkctu1TAQhiNERUvhAdggS2zYhNqJ7cTsULlKldh0wc6aOJPUVWIHOyk6r8RTMkenLQipUlcezf_NxfMXxSvB3wnOm7MshOay5EKXXLWmlE-KE9HqphS8_fH0Pm7EcfE852vOtaylfFYcV01jdFM1J8Xvjx7GEPPqHVswDTHNEByyOLAQgw83kP0NsiGBW30MMLFhir9YwoyJ8j0mknvS48xcTESkHQXzsq2UXuMcxwTL1Y5BGP1d7APz2V3h7KF0sGUfxr_FeUXax-f3DNiMK5RAU3eUeFEcDTBlfHn7nhaXnz9dnn8tL75_-Xb-4aJ00qi11MK4iquuUiDrjvdcDYi6NzXHFjj0SmqBThmNVacFDCTDUPWtqEBih_Vp8fbQdknx54Z5tTMti9MEAeOWLR21rWthVPUItJbGKGkaQt_8h17HLdHP9pRUQmoiiRIHyqWYc8LBLsnPdBUruN1bbg-WW7Lc7i23kmpe33beuhn7-4o7jwmoDkAmKYyY_hn9YNc_iu678g</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1845146499</pqid></control><display><type>article</type><title>Diagnostic performance of noninvasive fractional flow reserve derived from coronary computed tomography angiography in ischemia-causing coronary stenosis: a meta-analysis</title><source>MEDLINE</source><source>SpringerNature Journals</source><creator>Ding, Aimin ; Qiu, Guoqing ; Lin, Wensheng ; Hu, Ling ; Lu, Guangliang ; Long, Xiang ; Hong, Xin ; Chen, Yaohua ; Luo, Xiaoping ; Tang, Qinqin ; Deng, Dongqin</creator><creatorcontrib>Ding, Aimin ; Qiu, Guoqing ; Lin, Wensheng ; Hu, Ling ; Lu, Guangliang ; Long, Xiang ; Hong, Xin ; Chen, Yaohua ; Luo, Xiaoping ; Tang, Qinqin ; Deng, Dongqin</creatorcontrib><description>Purpose
Fractional flow reserve based on coronary computed tomographic angiography (CCTA; FFR
CT
) can evaluate functional severity in coronary artery disease (CAD). This study investigated the diagnostic value of FFR
CT
for determining CAD severity.
Materials and methods
Medline, Cochrane, EMBASE, and Google Scholar databases were searched until June 16, 2016 using the following search terms: fractional flow reserve, coronary computed tomography angiography, myocardial ischemia. Randomized controlled trials, two-arm prospective studies, and retrospective studies were included in the analysis.
Results
Twenty-one studies were included with a total of 2216 subjects and 2798 vessels. FFR
CT
, sensitivity per-vessel and per-patient were ≥82% and specificity was ≥73% for diagnosis of ischemia. FFR
CT
had better diagnostic accuracy and discrimination than CCTA.
Conclusion
This study indicates that FFR
CT
may be a good tool for screening and diagnosing of myocardial ischemia in patients with CAD.</description><identifier>ISSN: 1867-1071</identifier><identifier>EISSN: 1867-108X</identifier><identifier>DOI: 10.1007/s11604-016-0589-4</identifier><identifier>PMID: 27796727</identifier><language>eng</language><publisher>Tokyo: Springer Japan</publisher><subject>Area Under Curve ; Computed Tomography Angiography - methods ; Coronary Angiography - methods ; Coronary Stenosis - complications ; Coronary Stenosis - diagnostic imaging ; Coronary Stenosis - physiopathology ; Fractional Flow Reserve, Myocardial - physiology ; Humans ; Imaging ; Medicine ; Medicine & Public Health ; Myocardial Ischemia - diagnostic imaging ; Myocardial Ischemia - etiology ; Myocardial Ischemia - physiopathology ; Nuclear Medicine ; Original Article ; Radiology ; Radiotherapy ; Reproducibility of Results ; ROC Curve ; Sensitivity and Specificity ; Severity of Illness Index</subject><ispartof>Japanese journal of radiology, 2016-12, Vol.34 (12), p.795-808</ispartof><rights>Japan Radiological Society 2016</rights><rights>Japanese Journal of Radiology is a copyright of Springer, 2016.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c495t-619c205b25a43b0d05fee6d930e8a0ad5461ec596e2b61af5feaf2d812a4ebe3</citedby><cites>FETCH-LOGICAL-c495t-619c205b25a43b0d05fee6d930e8a0ad5461ec596e2b61af5feaf2d812a4ebe3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11604-016-0589-4$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11604-016-0589-4$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>315,781,785,27929,27930,41493,42562,51324</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/27796727$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Ding, Aimin</creatorcontrib><creatorcontrib>Qiu, Guoqing</creatorcontrib><creatorcontrib>Lin, Wensheng</creatorcontrib><creatorcontrib>Hu, Ling</creatorcontrib><creatorcontrib>Lu, Guangliang</creatorcontrib><creatorcontrib>Long, Xiang</creatorcontrib><creatorcontrib>Hong, Xin</creatorcontrib><creatorcontrib>Chen, Yaohua</creatorcontrib><creatorcontrib>Luo, Xiaoping</creatorcontrib><creatorcontrib>Tang, Qinqin</creatorcontrib><creatorcontrib>Deng, Dongqin</creatorcontrib><title>Diagnostic performance of noninvasive fractional flow reserve derived from coronary computed tomography angiography in ischemia-causing coronary stenosis: a meta-analysis</title><title>Japanese journal of radiology</title><addtitle>Jpn J Radiol</addtitle><addtitle>Jpn J Radiol</addtitle><description>Purpose
Fractional flow reserve based on coronary computed tomographic angiography (CCTA; FFR
CT
) can evaluate functional severity in coronary artery disease (CAD). This study investigated the diagnostic value of FFR
CT
for determining CAD severity.
Materials and methods
Medline, Cochrane, EMBASE, and Google Scholar databases were searched until June 16, 2016 using the following search terms: fractional flow reserve, coronary computed tomography angiography, myocardial ischemia. Randomized controlled trials, two-arm prospective studies, and retrospective studies were included in the analysis.
Results
Twenty-one studies were included with a total of 2216 subjects and 2798 vessels. FFR
CT
, sensitivity per-vessel and per-patient were ≥82% and specificity was ≥73% for diagnosis of ischemia. FFR
CT
had better diagnostic accuracy and discrimination than CCTA.
Conclusion
This study indicates that FFR
CT
may be a good tool for screening and diagnosing of myocardial ischemia in patients with CAD.</description><subject>Area Under Curve</subject><subject>Computed Tomography Angiography - methods</subject><subject>Coronary Angiography - methods</subject><subject>Coronary Stenosis - complications</subject><subject>Coronary Stenosis - diagnostic imaging</subject><subject>Coronary Stenosis - physiopathology</subject><subject>Fractional Flow Reserve, Myocardial - physiology</subject><subject>Humans</subject><subject>Imaging</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Myocardial Ischemia - diagnostic imaging</subject><subject>Myocardial Ischemia - etiology</subject><subject>Myocardial Ischemia - physiopathology</subject><subject>Nuclear Medicine</subject><subject>Original Article</subject><subject>Radiology</subject><subject>Radiotherapy</subject><subject>Reproducibility of Results</subject><subject>ROC Curve</subject><subject>Sensitivity and Specificity</subject><subject>Severity of Illness Index</subject><issn>1867-1071</issn><issn>1867-108X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNqNkctu1TAQhiNERUvhAdggS2zYhNqJ7cTsULlKldh0wc6aOJPUVWIHOyk6r8RTMkenLQipUlcezf_NxfMXxSvB3wnOm7MshOay5EKXXLWmlE-KE9HqphS8_fH0Pm7EcfE852vOtaylfFYcV01jdFM1J8Xvjx7GEPPqHVswDTHNEByyOLAQgw83kP0NsiGBW30MMLFhir9YwoyJ8j0mknvS48xcTESkHQXzsq2UXuMcxwTL1Y5BGP1d7APz2V3h7KF0sGUfxr_FeUXax-f3DNiMK5RAU3eUeFEcDTBlfHn7nhaXnz9dnn8tL75_-Xb-4aJ00qi11MK4iquuUiDrjvdcDYi6NzXHFjj0SmqBThmNVacFDCTDUPWtqEBih_Vp8fbQdknx54Z5tTMti9MEAeOWLR21rWthVPUItJbGKGkaQt_8h17HLdHP9pRUQmoiiRIHyqWYc8LBLsnPdBUruN1bbg-WW7Lc7i23kmpe33beuhn7-4o7jwmoDkAmKYyY_hn9YNc_iu678g</recordid><startdate>20161201</startdate><enddate>20161201</enddate><creator>Ding, Aimin</creator><creator>Qiu, Guoqing</creator><creator>Lin, Wensheng</creator><creator>Hu, Ling</creator><creator>Lu, Guangliang</creator><creator>Long, Xiang</creator><creator>Hong, Xin</creator><creator>Chen, Yaohua</creator><creator>Luo, Xiaoping</creator><creator>Tang, Qinqin</creator><creator>Deng, Dongqin</creator><general>Springer Japan</general><general>Springer Nature 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>3V.</scope><scope>7QO</scope><scope>7RV</scope><scope>7TK</scope><scope>7U7</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB0</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M7P</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope></search><sort><creationdate>20161201</creationdate><title>Diagnostic performance of noninvasive fractional flow reserve derived from coronary computed tomography angiography in ischemia-causing coronary stenosis: a meta-analysis</title><author>Ding, Aimin ; Qiu, Guoqing ; Lin, Wensheng ; Hu, Ling ; Lu, Guangliang ; Long, Xiang ; Hong, Xin ; Chen, Yaohua ; Luo, Xiaoping ; Tang, Qinqin ; Deng, Dongqin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c495t-619c205b25a43b0d05fee6d930e8a0ad5461ec596e2b61af5feaf2d812a4ebe3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Area Under Curve</topic><topic>Computed Tomography Angiography - methods</topic><topic>Coronary Angiography - methods</topic><topic>Coronary Stenosis - complications</topic><topic>Coronary Stenosis - diagnostic imaging</topic><topic>Coronary Stenosis - physiopathology</topic><topic>Fractional Flow Reserve, Myocardial - physiology</topic><topic>Humans</topic><topic>Imaging</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Myocardial Ischemia - diagnostic imaging</topic><topic>Myocardial Ischemia - etiology</topic><topic>Myocardial Ischemia - physiopathology</topic><topic>Nuclear Medicine</topic><topic>Original Article</topic><topic>Radiology</topic><topic>Radiotherapy</topic><topic>Reproducibility of Results</topic><topic>ROC Curve</topic><topic>Sensitivity and Specificity</topic><topic>Severity of Illness Index</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ding, Aimin</creatorcontrib><creatorcontrib>Qiu, Guoqing</creatorcontrib><creatorcontrib>Lin, Wensheng</creatorcontrib><creatorcontrib>Hu, Ling</creatorcontrib><creatorcontrib>Lu, Guangliang</creatorcontrib><creatorcontrib>Long, Xiang</creatorcontrib><creatorcontrib>Hong, Xin</creatorcontrib><creatorcontrib>Chen, Yaohua</creatorcontrib><creatorcontrib>Luo, Xiaoping</creatorcontrib><creatorcontrib>Tang, Qinqin</creatorcontrib><creatorcontrib>Deng, Dongqin</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Neurosciences Abstracts</collection><collection>Toxicology Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Biological Science Database</collection><collection>Nursing & Allied Health Premium</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><jtitle>Japanese journal of radiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ding, Aimin</au><au>Qiu, Guoqing</au><au>Lin, Wensheng</au><au>Hu, Ling</au><au>Lu, Guangliang</au><au>Long, Xiang</au><au>Hong, Xin</au><au>Chen, Yaohua</au><au>Luo, Xiaoping</au><au>Tang, Qinqin</au><au>Deng, Dongqin</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Diagnostic performance of noninvasive fractional flow reserve derived from coronary computed tomography angiography in ischemia-causing coronary stenosis: a meta-analysis</atitle><jtitle>Japanese journal of radiology</jtitle><stitle>Jpn J Radiol</stitle><addtitle>Jpn J Radiol</addtitle><date>2016-12-01</date><risdate>2016</risdate><volume>34</volume><issue>12</issue><spage>795</spage><epage>808</epage><pages>795-808</pages><issn>1867-1071</issn><eissn>1867-108X</eissn><abstract>Purpose
Fractional flow reserve based on coronary computed tomographic angiography (CCTA; FFR
CT
) can evaluate functional severity in coronary artery disease (CAD). This study investigated the diagnostic value of FFR
CT
for determining CAD severity.
Materials and methods
Medline, Cochrane, EMBASE, and Google Scholar databases were searched until June 16, 2016 using the following search terms: fractional flow reserve, coronary computed tomography angiography, myocardial ischemia. Randomized controlled trials, two-arm prospective studies, and retrospective studies were included in the analysis.
Results
Twenty-one studies were included with a total of 2216 subjects and 2798 vessels. FFR
CT
, sensitivity per-vessel and per-patient were ≥82% and specificity was ≥73% for diagnosis of ischemia. FFR
CT
had better diagnostic accuracy and discrimination than CCTA.
Conclusion
This study indicates that FFR
CT
may be a good tool for screening and diagnosing of myocardial ischemia in patients with CAD.</abstract><cop>Tokyo</cop><pub>Springer Japan</pub><pmid>27796727</pmid><doi>10.1007/s11604-016-0589-4</doi><tpages>14</tpages></addata></record> |
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issn | 1867-1071 1867-108X |
language | eng |
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source | MEDLINE; SpringerNature Journals |
subjects | Area Under Curve Computed Tomography Angiography - methods Coronary Angiography - methods Coronary Stenosis - complications Coronary Stenosis - diagnostic imaging Coronary Stenosis - physiopathology Fractional Flow Reserve, Myocardial - physiology Humans Imaging Medicine Medicine & Public Health Myocardial Ischemia - diagnostic imaging Myocardial Ischemia - etiology Myocardial Ischemia - physiopathology Nuclear Medicine Original Article Radiology Radiotherapy Reproducibility of Results ROC Curve Sensitivity and Specificity Severity of Illness Index |
title | Diagnostic performance of noninvasive fractional flow reserve derived from coronary computed tomography angiography in ischemia-causing coronary stenosis: a meta-analysis |
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