Diagnostic accuracy of quantitative cardiac MRI evaluation compared to stress single-photon-emission computed tomography
Background : Cardiac MRI (cMRI) perfusion is a promising non-invasive tool to assess myocardial ischemia. The accuracy of quantitative cMRI perfusion has been recently demonstrated, but to date no previous study has compared this technique with stress single-photon-emission computed tomography (SPEC...
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Veröffentlicht in: | International Journal of Cardiovascular Imaging 2008-03, Vol.24 (3), p.293-299 |
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creator | Futamatsu, Hideki Klassen, Chris Pilla, Marco Wilke, Norbert Angiolillo, Dominick J. Smalheiser, Stuart Siuciak, Alan Suzuki, Nobuaki Bass, Theodore A. Costa, Marco A. |
description | Background
: Cardiac MRI (cMRI) perfusion is a promising non-invasive tool to assess myocardial ischemia. The accuracy of quantitative cMRI perfusion has been recently demonstrated, but to date no previous study has compared this technique with stress single-photon-emission computed tomography (SPECT). The aim of this study was to evaluate the diagnostic accuracy of myocardial perfusion reserve (MPR) based on cMRI compared with SPECT.
Methods
: We examined 24 patients who underwent coronary angiography, stress SPECT and cMRI perfusion. Qualitative assessment of both SPECT and cMRI images, quantification of cMRI perfusion, and quantitative coronary angiography (QCA) were independently performed. MPR was calculated using Fermi deconvolution technique. Accuracy of quantitative and qualitative data was examined to detect > 50% diameter stenosis (DS) by QCA.
Results
: Qualitative analysis was obtained in 198 segments and quantitative analysis was performed in 171 segments. Significant coronary artery disease (CAD) was present in 81.8% of patients. Visual cMRI assessment yielded sensitivity of 74.4% and specificity of 79.4% to predict > 50%DS, while SPECT showed sensitivity of 67.4% and specificity of 81.3%. The sensitivity for SPECT in the right coronary artery territory and apex was low compared to cMRI. Sensitivity and specificity for detection of significant CAD were 89.5% and 46.6% for MPR (cutoff 1.92). Area under the curve was 0.75 for MPR (
P
|
doi_str_mv | 10.1007/s10554-007-9263-3 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_70268855</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>19472666</sourcerecordid><originalsourceid>FETCH-LOGICAL-c400t-f56213c5db3695b3d1a1c92a0ee6ed88b3a945f348f15feac5f842d426a24d513</originalsourceid><addsrcrecordid>eNqFkU9v1DAQxS0EoqXwAbggiwM3g_8nPqIWSqUiJARna9aZbFMlcWo7Ffvt8XYXVUJCnPxk_-aNZx4hrwV_LzhvPmTBjdGsSuakVUw9IafCNIrxRqune20dM43TJ-RFzrecc8mlek5ORNNqJ5U5Jb8uBtjOMZchUAhhTRB2NPb0boW5DAXKcI80QOoGCPTr9yuK9zCu9TrONMRpgYQdLZHmkjBnmod5OyJbbmKJM8NpyPkPuZYHcorbBMvN7iV51sOY8dXxPCM_P3_6cf6FXX-7vDr_eM2C5ryw3lgpVDDdRllnNqoTIIKTwBEtdm27UeC06ZVue2F6hGD6VstOSwtSd0aoM_Lu4LukeLdiLr5-KuA4woxxzb7h0ratMf8FhdONtNZW8O1f4G1c01yH8LJuXPHGuQqJAxRSzDlh75c0TJB2XnC_D88fwvN7uQ_Pq1rz5mi8bibsHiuOaVVAHoBcn-YtpsfO_3b9DUAGprw</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>215630799</pqid></control><display><type>article</type><title>Diagnostic accuracy of quantitative cardiac MRI evaluation compared to stress single-photon-emission computed tomography</title><source>MEDLINE</source><source>SpringerLink Journals - AutoHoldings</source><creator>Futamatsu, Hideki ; Klassen, Chris ; Pilla, Marco ; Wilke, Norbert ; Angiolillo, Dominick J. ; Smalheiser, Stuart ; Siuciak, Alan ; Suzuki, Nobuaki ; Bass, Theodore A. ; Costa, Marco A.</creator><creatorcontrib>Futamatsu, Hideki ; Klassen, Chris ; Pilla, Marco ; Wilke, Norbert ; Angiolillo, Dominick J. ; Smalheiser, Stuart ; Siuciak, Alan ; Suzuki, Nobuaki ; Bass, Theodore A. ; Costa, Marco A.</creatorcontrib><description>Background
: Cardiac MRI (cMRI) perfusion is a promising non-invasive tool to assess myocardial ischemia. The accuracy of quantitative cMRI perfusion has been recently demonstrated, but to date no previous study has compared this technique with stress single-photon-emission computed tomography (SPECT). The aim of this study was to evaluate the diagnostic accuracy of myocardial perfusion reserve (MPR) based on cMRI compared with SPECT.
Methods
: We examined 24 patients who underwent coronary angiography, stress SPECT and cMRI perfusion. Qualitative assessment of both SPECT and cMRI images, quantification of cMRI perfusion, and quantitative coronary angiography (QCA) were independently performed. MPR was calculated using Fermi deconvolution technique. Accuracy of quantitative and qualitative data was examined to detect > 50% diameter stenosis (DS) by QCA.
Results
: Qualitative analysis was obtained in 198 segments and quantitative analysis was performed in 171 segments. Significant coronary artery disease (CAD) was present in 81.8% of patients. Visual cMRI assessment yielded sensitivity of 74.4% and specificity of 79.4% to predict > 50%DS, while SPECT showed sensitivity of 67.4% and specificity of 81.3%. The sensitivity for SPECT in the right coronary artery territory and apex was low compared to cMRI. Sensitivity and specificity for detection of significant CAD were 89.5% and 46.6% for MPR (cutoff 1.92). Area under the curve was 0.75 for MPR (
P
< 0.01).
Conclusions
: The diagnostic accuracy of qualitative examination of perfusion cardiac MRI and stress SPECT were comparable. The high sensitivity and low operator dependency of quantitative cMRI makes it an attractive tool to evaluate myocardial perfusion.</description><identifier>ISSN: 1569-5794</identifier><identifier>EISSN: 1573-0743</identifier><identifier>DOI: 10.1007/s10554-007-9263-3</identifier><identifier>PMID: 17849235</identifier><identifier>CODEN: IJCIBI</identifier><language>eng</language><publisher>Dordrecht: Springer Netherlands</publisher><subject>Cardiac Imaging ; Cardiology ; Coronary Angiography ; Coronary Disease - diagnosis ; Coronary Disease - diagnostic imaging ; Female ; Humans ; Imaging ; Magnetic Resonance Imaging - methods ; Male ; Medicine ; Medicine & Public Health ; Middle Aged ; Original Paper ; Radiology ; Retrospective Studies ; ROC Curve ; Sensitivity and Specificity ; Tomography, Emission-Computed, Single-Photon - methods</subject><ispartof>International Journal of Cardiovascular Imaging, 2008-03, Vol.24 (3), p.293-299</ispartof><rights>Springer Science+Business Media B.V. 2007</rights><rights>Springer Science+Business Media B.V. 2008</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c400t-f56213c5db3695b3d1a1c92a0ee6ed88b3a945f348f15feac5f842d426a24d513</citedby><cites>FETCH-LOGICAL-c400t-f56213c5db3695b3d1a1c92a0ee6ed88b3a945f348f15feac5f842d426a24d513</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/s10554-007-9263-3$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10554-007-9263-3$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/17849235$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Futamatsu, Hideki</creatorcontrib><creatorcontrib>Klassen, Chris</creatorcontrib><creatorcontrib>Pilla, Marco</creatorcontrib><creatorcontrib>Wilke, Norbert</creatorcontrib><creatorcontrib>Angiolillo, Dominick J.</creatorcontrib><creatorcontrib>Smalheiser, Stuart</creatorcontrib><creatorcontrib>Siuciak, Alan</creatorcontrib><creatorcontrib>Suzuki, Nobuaki</creatorcontrib><creatorcontrib>Bass, Theodore A.</creatorcontrib><creatorcontrib>Costa, Marco A.</creatorcontrib><title>Diagnostic accuracy of quantitative cardiac MRI evaluation compared to stress single-photon-emission computed tomography</title><title>International Journal of Cardiovascular Imaging</title><addtitle>Int J Cardiovasc Imaging</addtitle><addtitle>Int J Cardiovasc Imaging</addtitle><description>Background
: Cardiac MRI (cMRI) perfusion is a promising non-invasive tool to assess myocardial ischemia. The accuracy of quantitative cMRI perfusion has been recently demonstrated, but to date no previous study has compared this technique with stress single-photon-emission computed tomography (SPECT). The aim of this study was to evaluate the diagnostic accuracy of myocardial perfusion reserve (MPR) based on cMRI compared with SPECT.
Methods
: We examined 24 patients who underwent coronary angiography, stress SPECT and cMRI perfusion. Qualitative assessment of both SPECT and cMRI images, quantification of cMRI perfusion, and quantitative coronary angiography (QCA) were independently performed. MPR was calculated using Fermi deconvolution technique. Accuracy of quantitative and qualitative data was examined to detect > 50% diameter stenosis (DS) by QCA.
Results
: Qualitative analysis was obtained in 198 segments and quantitative analysis was performed in 171 segments. Significant coronary artery disease (CAD) was present in 81.8% of patients. Visual cMRI assessment yielded sensitivity of 74.4% and specificity of 79.4% to predict > 50%DS, while SPECT showed sensitivity of 67.4% and specificity of 81.3%. The sensitivity for SPECT in the right coronary artery territory and apex was low compared to cMRI. Sensitivity and specificity for detection of significant CAD were 89.5% and 46.6% for MPR (cutoff 1.92). Area under the curve was 0.75 for MPR (
P
< 0.01).
Conclusions
: The diagnostic accuracy of qualitative examination of perfusion cardiac MRI and stress SPECT were comparable. The high sensitivity and low operator dependency of quantitative cMRI makes it an attractive tool to evaluate myocardial perfusion.</description><subject>Cardiac Imaging</subject><subject>Cardiology</subject><subject>Coronary Angiography</subject><subject>Coronary Disease - diagnosis</subject><subject>Coronary Disease - diagnostic imaging</subject><subject>Female</subject><subject>Humans</subject><subject>Imaging</subject><subject>Magnetic Resonance Imaging - methods</subject><subject>Male</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Middle Aged</subject><subject>Original Paper</subject><subject>Radiology</subject><subject>Retrospective Studies</subject><subject>ROC Curve</subject><subject>Sensitivity and Specificity</subject><subject>Tomography, Emission-Computed, Single-Photon - methods</subject><issn>1569-5794</issn><issn>1573-0743</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2008</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><recordid>eNqFkU9v1DAQxS0EoqXwAbggiwM3g_8nPqIWSqUiJARna9aZbFMlcWo7Ffvt8XYXVUJCnPxk_-aNZx4hrwV_LzhvPmTBjdGsSuakVUw9IafCNIrxRqune20dM43TJ-RFzrecc8mlek5ORNNqJ5U5Jb8uBtjOMZchUAhhTRB2NPb0boW5DAXKcI80QOoGCPTr9yuK9zCu9TrONMRpgYQdLZHmkjBnmod5OyJbbmKJM8NpyPkPuZYHcorbBMvN7iV51sOY8dXxPCM_P3_6cf6FXX-7vDr_eM2C5ryw3lgpVDDdRllnNqoTIIKTwBEtdm27UeC06ZVue2F6hGD6VstOSwtSd0aoM_Lu4LukeLdiLr5-KuA4woxxzb7h0ratMf8FhdONtNZW8O1f4G1c01yH8LJuXPHGuQqJAxRSzDlh75c0TJB2XnC_D88fwvN7uQ_Pq1rz5mi8bibsHiuOaVVAHoBcn-YtpsfO_3b9DUAGprw</recordid><startdate>20080301</startdate><enddate>20080301</enddate><creator>Futamatsu, Hideki</creator><creator>Klassen, Chris</creator><creator>Pilla, Marco</creator><creator>Wilke, Norbert</creator><creator>Angiolillo, Dominick J.</creator><creator>Smalheiser, Stuart</creator><creator>Siuciak, Alan</creator><creator>Suzuki, Nobuaki</creator><creator>Bass, Theodore A.</creator><creator>Costa, Marco A.</creator><general>Springer Netherlands</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>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8FD</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>M7Z</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>7QO</scope><scope>7X8</scope></search><sort><creationdate>20080301</creationdate><title>Diagnostic accuracy of quantitative cardiac MRI evaluation compared to stress single-photon-emission computed tomography</title><author>Futamatsu, Hideki ; Klassen, Chris ; Pilla, Marco ; Wilke, Norbert ; Angiolillo, Dominick J. ; Smalheiser, Stuart ; Siuciak, Alan ; Suzuki, Nobuaki ; Bass, Theodore A. ; Costa, Marco A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c400t-f56213c5db3695b3d1a1c92a0ee6ed88b3a945f348f15feac5f842d426a24d513</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2008</creationdate><topic>Cardiac Imaging</topic><topic>Cardiology</topic><topic>Coronary Angiography</topic><topic>Coronary Disease - diagnosis</topic><topic>Coronary Disease - diagnostic imaging</topic><topic>Female</topic><topic>Humans</topic><topic>Imaging</topic><topic>Magnetic Resonance Imaging - methods</topic><topic>Male</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Middle Aged</topic><topic>Original Paper</topic><topic>Radiology</topic><topic>Retrospective Studies</topic><topic>ROC Curve</topic><topic>Sensitivity and Specificity</topic><topic>Tomography, Emission-Computed, Single-Photon - methods</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Futamatsu, Hideki</creatorcontrib><creatorcontrib>Klassen, Chris</creatorcontrib><creatorcontrib>Pilla, Marco</creatorcontrib><creatorcontrib>Wilke, Norbert</creatorcontrib><creatorcontrib>Angiolillo, Dominick J.</creatorcontrib><creatorcontrib>Smalheiser, Stuart</creatorcontrib><creatorcontrib>Siuciak, Alan</creatorcontrib><creatorcontrib>Suzuki, Nobuaki</creatorcontrib><creatorcontrib>Bass, Theodore A.</creatorcontrib><creatorcontrib>Costa, Marco A.</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>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>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>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Biochemistry Abstracts 1</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>Biotechnology Research Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>International Journal of Cardiovascular Imaging</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Futamatsu, Hideki</au><au>Klassen, Chris</au><au>Pilla, Marco</au><au>Wilke, Norbert</au><au>Angiolillo, Dominick J.</au><au>Smalheiser, Stuart</au><au>Siuciak, Alan</au><au>Suzuki, Nobuaki</au><au>Bass, Theodore A.</au><au>Costa, Marco A.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Diagnostic accuracy of quantitative cardiac MRI evaluation compared to stress single-photon-emission computed tomography</atitle><jtitle>International Journal of Cardiovascular Imaging</jtitle><stitle>Int J Cardiovasc Imaging</stitle><addtitle>Int J Cardiovasc Imaging</addtitle><date>2008-03-01</date><risdate>2008</risdate><volume>24</volume><issue>3</issue><spage>293</spage><epage>299</epage><pages>293-299</pages><issn>1569-5794</issn><eissn>1573-0743</eissn><coden>IJCIBI</coden><abstract>Background
: Cardiac MRI (cMRI) perfusion is a promising non-invasive tool to assess myocardial ischemia. The accuracy of quantitative cMRI perfusion has been recently demonstrated, but to date no previous study has compared this technique with stress single-photon-emission computed tomography (SPECT). The aim of this study was to evaluate the diagnostic accuracy of myocardial perfusion reserve (MPR) based on cMRI compared with SPECT.
Methods
: We examined 24 patients who underwent coronary angiography, stress SPECT and cMRI perfusion. Qualitative assessment of both SPECT and cMRI images, quantification of cMRI perfusion, and quantitative coronary angiography (QCA) were independently performed. MPR was calculated using Fermi deconvolution technique. Accuracy of quantitative and qualitative data was examined to detect > 50% diameter stenosis (DS) by QCA.
Results
: Qualitative analysis was obtained in 198 segments and quantitative analysis was performed in 171 segments. Significant coronary artery disease (CAD) was present in 81.8% of patients. Visual cMRI assessment yielded sensitivity of 74.4% and specificity of 79.4% to predict > 50%DS, while SPECT showed sensitivity of 67.4% and specificity of 81.3%. The sensitivity for SPECT in the right coronary artery territory and apex was low compared to cMRI. Sensitivity and specificity for detection of significant CAD were 89.5% and 46.6% for MPR (cutoff 1.92). Area under the curve was 0.75 for MPR (
P
< 0.01).
Conclusions
: The diagnostic accuracy of qualitative examination of perfusion cardiac MRI and stress SPECT were comparable. The high sensitivity and low operator dependency of quantitative cMRI makes it an attractive tool to evaluate myocardial perfusion.</abstract><cop>Dordrecht</cop><pub>Springer Netherlands</pub><pmid>17849235</pmid><doi>10.1007/s10554-007-9263-3</doi><tpages>7</tpages></addata></record> |
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subjects | Cardiac Imaging Cardiology Coronary Angiography Coronary Disease - diagnosis Coronary Disease - diagnostic imaging Female Humans Imaging Magnetic Resonance Imaging - methods Male Medicine Medicine & Public Health Middle Aged Original Paper Radiology Retrospective Studies ROC Curve Sensitivity and Specificity Tomography, Emission-Computed, Single-Photon - methods |
title | Diagnostic accuracy of quantitative cardiac MRI evaluation compared to stress single-photon-emission computed tomography |
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