Detection of Atherosclerotic Inflammation by68 Ga-DOTATATE PET Compared to [18 F]FDG PET Imaging
Abstract Background Inflammation drives atherosclerotic plaque rupture. Although inflammation can be measured using fluorine-18-labeled fluorodeoxyglucose positron emission tomography ([18 F]FDG PET), [18 F]FDG lacks cell specificity, and coronary imaging is unreliable because of myocardial spillove...
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| creator | Tarkin, Jason M., MBBS Joshi, Francis R., MBBS, PhD Evans, Nicholas R., MBBChIR Chowdhury, Mohammed M., MBChB Figg, Nichola L., BSc Shah, Aarti V., PhD Starks, Lakshi T., BSc Martin-Garrido, Abel, PhD Manavaki, Roido, PhD Yu, Emma, MD, PhD Kuc, Rhoda E., BSc Grassi, Luigi, PhD Kreuzhuber, Roman, MSc Kostadima, Myrto A., PhD Frontini, Mattia, PhD Kirkpatrick, Peter J., MD Coughlin, Patrick A., MD Gopalan, Deepa, MD Fryer, Tim D., PhD Buscombe, John R., MD Groves, Ashley M., MD Ouwehand, Willem H., PhD Bennett, Martin R., MD, PhD Warburton, Elizabeth A., DM Davenport, Anthony P., PhD Rudd, James H.F., MD, PhD |
| description | Abstract Background Inflammation drives atherosclerotic plaque rupture. Although inflammation can be measured using fluorine-18-labeled fluorodeoxyglucose positron emission tomography ([18 F]FDG PET), [18 F]FDG lacks cell specificity, and coronary imaging is unreliable because of myocardial spillover. Objectives This study tested the efficacy of gallium-68-labeled DOTATATE (68 Ga-DOTATATE), a somatostatin receptor subtype-2 (SST2 )-binding PET tracer, for imaging atherosclerotic inflammation. Methods We confirmed68 Ga-DOTATATE binding in macrophages and excised carotid plaques.68 Ga-DOTATATE PET imaging was compared to [18 F]FDG PET imaging in 42 patients with atherosclerosis. Results Target SSTR2 gene expression occurred exclusively in “proinflammatory” M1 macrophages, specific68 Ga-DOTATATE ligand binding to SST2 receptors occurred in CD68-positive macrophage-rich carotid plaque regions, and carotid SSTR2 mRNA was highly correlated with in vivo68 Ga-DOTATATE PET signals (r = 0.89; 95% confidence interval [CI]: 0.28 to 0.99; p = 0.02).68 Ga-DOTATATE mean of maximum tissue-to-blood ratios (mTBRmax ) correctly identified culprit versus nonculprit arteries in patients with acute coronary syndrome (median difference: 0.69; interquartile range [IQR]: 0.22 to 1.15; p = 0.008) and transient ischemic attack/stroke (median difference: 0.13; IQR: 0.07 to 0.32; p = 0.003).68 Ga-DOTATATE mTBRmax predicted high-risk coronary computed tomography features (receiver operating characteristics area under the curve [ROC AUC]: 0.86; 95% CI: 0.80 to 0.92; p < 0.0001), and correlated with Framingham risk score (r = 0.53; 95% CI: 0.32 to 0.69; p |
| doi_str_mv | 10.1016/j.jacc.2017.01.060 |
| format | Article |
| fullrecord | <record><control><sourceid>elsevier</sourceid><recordid>TN_cdi_elsevier_clinicalkeyesjournals_1_s2_0_S0735109717306927</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>1_s2_0_S0735109717306927</els_id><sourcerecordid>1_s2_0_S0735109717306927</sourcerecordid><originalsourceid>FETCH-elsevier_clinicalkeyesjournals_1_s2_0_S07351097173069273</originalsourceid><addsrcrecordid>eNqlTsFKxDAUzEHB1fUHPOUHGt9rMWkvwrJt1z0p2NsiMcZ0TU0TaaKwf2938Q9kYIZhhmEIuUFgCMhvBzYorVkOKBggAw5nZAGiuMsQKnFBLmMcAICXWC3Ia22S0ckGT0NPV-nDTCFqN3Oymm5979Q4qlP-duAl3aisfuxWMxr61HR0HcYvNZl3mgLdYUnbl7benJLtqPbW75fkvFcumus_vSL3bdOtHzIzmx9rJqmd9VYr92kOJg7he_JzT6KMuQT5fDx-_I2iAF7lovj3wC_OilkP</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Detection of Atherosclerotic Inflammation by68 Ga-DOTATATE PET Compared to [18 F]FDG PET Imaging</title><source>Elsevier ScienceDirect Journals Complete</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>Alma/SFX Local Collection</source><creator>Tarkin, Jason M., MBBS ; Joshi, Francis R., MBBS, PhD ; Evans, Nicholas R., MBBChIR ; Chowdhury, Mohammed M., MBChB ; Figg, Nichola L., BSc ; Shah, Aarti V., PhD ; Starks, Lakshi T., BSc ; Martin-Garrido, Abel, PhD ; Manavaki, Roido, PhD ; Yu, Emma, MD, PhD ; Kuc, Rhoda E., BSc ; Grassi, Luigi, PhD ; Kreuzhuber, Roman, MSc ; Kostadima, Myrto A., PhD ; Frontini, Mattia, PhD ; Kirkpatrick, Peter J., MD ; Coughlin, Patrick A., MD ; Gopalan, Deepa, MD ; Fryer, Tim D., PhD ; Buscombe, John R., MD ; Groves, Ashley M., MD ; Ouwehand, Willem H., PhD ; Bennett, Martin R., MD, PhD ; Warburton, Elizabeth A., DM ; Davenport, Anthony P., PhD ; Rudd, James H.F., MD, PhD</creator><creatorcontrib>Tarkin, Jason M., MBBS ; Joshi, Francis R., MBBS, PhD ; Evans, Nicholas R., MBBChIR ; Chowdhury, Mohammed M., MBChB ; Figg, Nichola L., BSc ; Shah, Aarti V., PhD ; Starks, Lakshi T., BSc ; Martin-Garrido, Abel, PhD ; Manavaki, Roido, PhD ; Yu, Emma, MD, PhD ; Kuc, Rhoda E., BSc ; Grassi, Luigi, PhD ; Kreuzhuber, Roman, MSc ; Kostadima, Myrto A., PhD ; Frontini, Mattia, PhD ; Kirkpatrick, Peter J., MD ; Coughlin, Patrick A., MD ; Gopalan, Deepa, MD ; Fryer, Tim D., PhD ; Buscombe, John R., MD ; Groves, Ashley M., MD ; Ouwehand, Willem H., PhD ; Bennett, Martin R., MD, PhD ; Warburton, Elizabeth A., DM ; Davenport, Anthony P., PhD ; Rudd, James H.F., MD, PhD</creatorcontrib><description>Abstract Background Inflammation drives atherosclerotic plaque rupture. Although inflammation can be measured using fluorine-18-labeled fluorodeoxyglucose positron emission tomography ([18 F]FDG PET), [18 F]FDG lacks cell specificity, and coronary imaging is unreliable because of myocardial spillover. Objectives This study tested the efficacy of gallium-68-labeled DOTATATE (68 Ga-DOTATATE), a somatostatin receptor subtype-2 (SST2 )-binding PET tracer, for imaging atherosclerotic inflammation. Methods We confirmed68 Ga-DOTATATE binding in macrophages and excised carotid plaques.68 Ga-DOTATATE PET imaging was compared to [18 F]FDG PET imaging in 42 patients with atherosclerosis. Results Target SSTR2 gene expression occurred exclusively in “proinflammatory” M1 macrophages, specific68 Ga-DOTATATE ligand binding to SST2 receptors occurred in CD68-positive macrophage-rich carotid plaque regions, and carotid SSTR2 mRNA was highly correlated with in vivo68 Ga-DOTATATE PET signals (r = 0.89; 95% confidence interval [CI]: 0.28 to 0.99; p = 0.02).68 Ga-DOTATATE mean of maximum tissue-to-blood ratios (mTBRmax ) correctly identified culprit versus nonculprit arteries in patients with acute coronary syndrome (median difference: 0.69; interquartile range [IQR]: 0.22 to 1.15; p = 0.008) and transient ischemic attack/stroke (median difference: 0.13; IQR: 0.07 to 0.32; p = 0.003).68 Ga-DOTATATE mTBRmax predicted high-risk coronary computed tomography features (receiver operating characteristics area under the curve [ROC AUC]: 0.86; 95% CI: 0.80 to 0.92; p < 0.0001), and correlated with Framingham risk score (r = 0.53; 95% CI: 0.32 to 0.69; p <0.0001) and [18 F]FDG uptake (r = 0.73; 95% CI: 0.64 to 0.81; p < 0.0001). [18 F]FDG mTBRmax differentiated culprit from nonculprit carotid lesions (median difference: 0.12; IQR: 0.0 to 0.23; p = 0.008) and high-risk from lower-risk coronary arteries (ROC AUC: 0.76; 95% CI: 0.62 to 0.91; p = 0.002); however, myocardial [18 F]FDG spillover rendered coronary [18 F]FDG scans uninterpretable in 27 patients (64%). Coronary68 Ga-DOTATATE PET scans were readable in all patients. Conclusions We validated68 Ga-DOTATATE PET as a novel marker of atherosclerotic inflammation and confirmed that68 Ga-DOTATATE offers superior coronary imaging, excellent macrophage specificity, and better power to discriminate high-risk versus low-risk coronary lesions than [18 F]FDG. (Vascular Inflammation Imaging Using Somatostatin Receptor Positron Emission Tomography [VISION]; NCT02021188 )</description><identifier>ISSN: 0735-1097</identifier><identifier>DOI: 10.1016/j.jacc.2017.01.060</identifier><language>eng</language><subject>Cardiovascular ; Internal Medicine</subject><ispartof>Journal of the American College of Cardiology, 2017, Vol.69 (14), p.1774-1791</ispartof><rights>The Authors</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,4010,27900,27901,27902</link.rule.ids></links><search><creatorcontrib>Tarkin, Jason M., MBBS</creatorcontrib><creatorcontrib>Joshi, Francis R., MBBS, PhD</creatorcontrib><creatorcontrib>Evans, Nicholas R., MBBChIR</creatorcontrib><creatorcontrib>Chowdhury, Mohammed M., MBChB</creatorcontrib><creatorcontrib>Figg, Nichola L., BSc</creatorcontrib><creatorcontrib>Shah, Aarti V., PhD</creatorcontrib><creatorcontrib>Starks, Lakshi T., BSc</creatorcontrib><creatorcontrib>Martin-Garrido, Abel, PhD</creatorcontrib><creatorcontrib>Manavaki, Roido, PhD</creatorcontrib><creatorcontrib>Yu, Emma, MD, PhD</creatorcontrib><creatorcontrib>Kuc, Rhoda E., BSc</creatorcontrib><creatorcontrib>Grassi, Luigi, PhD</creatorcontrib><creatorcontrib>Kreuzhuber, Roman, MSc</creatorcontrib><creatorcontrib>Kostadima, Myrto A., PhD</creatorcontrib><creatorcontrib>Frontini, Mattia, PhD</creatorcontrib><creatorcontrib>Kirkpatrick, Peter J., MD</creatorcontrib><creatorcontrib>Coughlin, Patrick A., MD</creatorcontrib><creatorcontrib>Gopalan, Deepa, MD</creatorcontrib><creatorcontrib>Fryer, Tim D., PhD</creatorcontrib><creatorcontrib>Buscombe, John R., MD</creatorcontrib><creatorcontrib>Groves, Ashley M., MD</creatorcontrib><creatorcontrib>Ouwehand, Willem H., PhD</creatorcontrib><creatorcontrib>Bennett, Martin R., MD, PhD</creatorcontrib><creatorcontrib>Warburton, Elizabeth A., DM</creatorcontrib><creatorcontrib>Davenport, Anthony P., PhD</creatorcontrib><creatorcontrib>Rudd, James H.F., MD, PhD</creatorcontrib><title>Detection of Atherosclerotic Inflammation by68 Ga-DOTATATE PET Compared to [18 F]FDG PET Imaging</title><title>Journal of the American College of Cardiology</title><description>Abstract Background Inflammation drives atherosclerotic plaque rupture. Although inflammation can be measured using fluorine-18-labeled fluorodeoxyglucose positron emission tomography ([18 F]FDG PET), [18 F]FDG lacks cell specificity, and coronary imaging is unreliable because of myocardial spillover. Objectives This study tested the efficacy of gallium-68-labeled DOTATATE (68 Ga-DOTATATE), a somatostatin receptor subtype-2 (SST2 )-binding PET tracer, for imaging atherosclerotic inflammation. Methods We confirmed68 Ga-DOTATATE binding in macrophages and excised carotid plaques.68 Ga-DOTATATE PET imaging was compared to [18 F]FDG PET imaging in 42 patients with atherosclerosis. Results Target SSTR2 gene expression occurred exclusively in “proinflammatory” M1 macrophages, specific68 Ga-DOTATATE ligand binding to SST2 receptors occurred in CD68-positive macrophage-rich carotid plaque regions, and carotid SSTR2 mRNA was highly correlated with in vivo68 Ga-DOTATATE PET signals (r = 0.89; 95% confidence interval [CI]: 0.28 to 0.99; p = 0.02).68 Ga-DOTATATE mean of maximum tissue-to-blood ratios (mTBRmax ) correctly identified culprit versus nonculprit arteries in patients with acute coronary syndrome (median difference: 0.69; interquartile range [IQR]: 0.22 to 1.15; p = 0.008) and transient ischemic attack/stroke (median difference: 0.13; IQR: 0.07 to 0.32; p = 0.003).68 Ga-DOTATATE mTBRmax predicted high-risk coronary computed tomography features (receiver operating characteristics area under the curve [ROC AUC]: 0.86; 95% CI: 0.80 to 0.92; p < 0.0001), and correlated with Framingham risk score (r = 0.53; 95% CI: 0.32 to 0.69; p <0.0001) and [18 F]FDG uptake (r = 0.73; 95% CI: 0.64 to 0.81; p < 0.0001). [18 F]FDG mTBRmax differentiated culprit from nonculprit carotid lesions (median difference: 0.12; IQR: 0.0 to 0.23; p = 0.008) and high-risk from lower-risk coronary arteries (ROC AUC: 0.76; 95% CI: 0.62 to 0.91; p = 0.002); however, myocardial [18 F]FDG spillover rendered coronary [18 F]FDG scans uninterpretable in 27 patients (64%). Coronary68 Ga-DOTATATE PET scans were readable in all patients. Conclusions We validated68 Ga-DOTATATE PET as a novel marker of atherosclerotic inflammation and confirmed that68 Ga-DOTATATE offers superior coronary imaging, excellent macrophage specificity, and better power to discriminate high-risk versus low-risk coronary lesions than [18 F]FDG. (Vascular Inflammation Imaging Using Somatostatin Receptor Positron Emission Tomography [VISION]; NCT02021188 )</description><subject>Cardiovascular</subject><subject>Internal Medicine</subject><issn>0735-1097</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid/><recordid>eNqlTsFKxDAUzEHB1fUHPOUHGt9rMWkvwrJt1z0p2NsiMcZ0TU0TaaKwf2938Q9kYIZhhmEIuUFgCMhvBzYorVkOKBggAw5nZAGiuMsQKnFBLmMcAICXWC3Ia22S0ckGT0NPV-nDTCFqN3Oymm5979Q4qlP-duAl3aisfuxWMxr61HR0HcYvNZl3mgLdYUnbl7benJLtqPbW75fkvFcumus_vSL3bdOtHzIzmx9rJqmd9VYr92kOJg7he_JzT6KMuQT5fDx-_I2iAF7lovj3wC_OilkP</recordid><startdate>2017</startdate><enddate>2017</enddate><creator>Tarkin, Jason M., MBBS</creator><creator>Joshi, Francis R., MBBS, PhD</creator><creator>Evans, Nicholas R., MBBChIR</creator><creator>Chowdhury, Mohammed M., MBChB</creator><creator>Figg, Nichola L., BSc</creator><creator>Shah, Aarti V., PhD</creator><creator>Starks, Lakshi T., BSc</creator><creator>Martin-Garrido, Abel, PhD</creator><creator>Manavaki, Roido, PhD</creator><creator>Yu, Emma, MD, PhD</creator><creator>Kuc, Rhoda E., BSc</creator><creator>Grassi, Luigi, PhD</creator><creator>Kreuzhuber, Roman, MSc</creator><creator>Kostadima, Myrto A., PhD</creator><creator>Frontini, Mattia, PhD</creator><creator>Kirkpatrick, Peter J., MD</creator><creator>Coughlin, Patrick A., MD</creator><creator>Gopalan, Deepa, MD</creator><creator>Fryer, Tim D., PhD</creator><creator>Buscombe, John R., MD</creator><creator>Groves, Ashley M., MD</creator><creator>Ouwehand, Willem H., PhD</creator><creator>Bennett, Martin R., MD, PhD</creator><creator>Warburton, Elizabeth A., DM</creator><creator>Davenport, Anthony P., PhD</creator><creator>Rudd, James H.F., MD, PhD</creator><scope/></search><sort><creationdate>2017</creationdate><title>Detection of Atherosclerotic Inflammation by68 Ga-DOTATATE PET Compared to [18 F]FDG PET Imaging</title><author>Tarkin, Jason M., MBBS ; Joshi, Francis R., MBBS, PhD ; Evans, Nicholas R., MBBChIR ; Chowdhury, Mohammed M., MBChB ; Figg, Nichola L., BSc ; Shah, Aarti V., PhD ; Starks, Lakshi T., BSc ; Martin-Garrido, Abel, PhD ; Manavaki, Roido, PhD ; Yu, Emma, MD, PhD ; Kuc, Rhoda E., BSc ; Grassi, Luigi, PhD ; Kreuzhuber, Roman, MSc ; Kostadima, Myrto A., PhD ; Frontini, Mattia, PhD ; Kirkpatrick, Peter J., MD ; Coughlin, Patrick A., MD ; Gopalan, Deepa, MD ; Fryer, Tim D., PhD ; Buscombe, John R., MD ; Groves, Ashley M., MD ; Ouwehand, Willem H., PhD ; Bennett, Martin R., MD, PhD ; Warburton, Elizabeth A., DM ; Davenport, Anthony P., PhD ; Rudd, James H.F., MD, PhD</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-elsevier_clinicalkeyesjournals_1_s2_0_S07351097173069273</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Cardiovascular</topic><topic>Internal Medicine</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Tarkin, Jason M., MBBS</creatorcontrib><creatorcontrib>Joshi, Francis R., MBBS, PhD</creatorcontrib><creatorcontrib>Evans, Nicholas R., MBBChIR</creatorcontrib><creatorcontrib>Chowdhury, Mohammed M., MBChB</creatorcontrib><creatorcontrib>Figg, Nichola L., BSc</creatorcontrib><creatorcontrib>Shah, Aarti V., PhD</creatorcontrib><creatorcontrib>Starks, Lakshi T., BSc</creatorcontrib><creatorcontrib>Martin-Garrido, Abel, PhD</creatorcontrib><creatorcontrib>Manavaki, Roido, PhD</creatorcontrib><creatorcontrib>Yu, Emma, MD, PhD</creatorcontrib><creatorcontrib>Kuc, Rhoda E., BSc</creatorcontrib><creatorcontrib>Grassi, Luigi, PhD</creatorcontrib><creatorcontrib>Kreuzhuber, Roman, MSc</creatorcontrib><creatorcontrib>Kostadima, Myrto A., PhD</creatorcontrib><creatorcontrib>Frontini, Mattia, PhD</creatorcontrib><creatorcontrib>Kirkpatrick, Peter J., MD</creatorcontrib><creatorcontrib>Coughlin, Patrick A., MD</creatorcontrib><creatorcontrib>Gopalan, Deepa, MD</creatorcontrib><creatorcontrib>Fryer, Tim D., PhD</creatorcontrib><creatorcontrib>Buscombe, John R., MD</creatorcontrib><creatorcontrib>Groves, Ashley M., MD</creatorcontrib><creatorcontrib>Ouwehand, Willem H., PhD</creatorcontrib><creatorcontrib>Bennett, Martin R., MD, PhD</creatorcontrib><creatorcontrib>Warburton, Elizabeth A., DM</creatorcontrib><creatorcontrib>Davenport, Anthony P., PhD</creatorcontrib><creatorcontrib>Rudd, James H.F., MD, PhD</creatorcontrib><jtitle>Journal of the American College of Cardiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Tarkin, Jason M., MBBS</au><au>Joshi, Francis R., MBBS, PhD</au><au>Evans, Nicholas R., MBBChIR</au><au>Chowdhury, Mohammed M., MBChB</au><au>Figg, Nichola L., BSc</au><au>Shah, Aarti V., PhD</au><au>Starks, Lakshi T., BSc</au><au>Martin-Garrido, Abel, PhD</au><au>Manavaki, Roido, PhD</au><au>Yu, Emma, MD, PhD</au><au>Kuc, Rhoda E., BSc</au><au>Grassi, Luigi, PhD</au><au>Kreuzhuber, Roman, MSc</au><au>Kostadima, Myrto A., PhD</au><au>Frontini, Mattia, PhD</au><au>Kirkpatrick, Peter J., MD</au><au>Coughlin, Patrick A., MD</au><au>Gopalan, Deepa, MD</au><au>Fryer, Tim D., PhD</au><au>Buscombe, John R., MD</au><au>Groves, Ashley M., MD</au><au>Ouwehand, Willem H., PhD</au><au>Bennett, Martin R., MD, PhD</au><au>Warburton, Elizabeth A., DM</au><au>Davenport, Anthony P., PhD</au><au>Rudd, James H.F., MD, PhD</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Detection of Atherosclerotic Inflammation by68 Ga-DOTATATE PET Compared to [18 F]FDG PET Imaging</atitle><jtitle>Journal of the American College of Cardiology</jtitle><date>2017</date><risdate>2017</risdate><volume>69</volume><issue>14</issue><spage>1774</spage><epage>1791</epage><pages>1774-1791</pages><issn>0735-1097</issn><abstract>Abstract Background Inflammation drives atherosclerotic plaque rupture. Although inflammation can be measured using fluorine-18-labeled fluorodeoxyglucose positron emission tomography ([18 F]FDG PET), [18 F]FDG lacks cell specificity, and coronary imaging is unreliable because of myocardial spillover. Objectives This study tested the efficacy of gallium-68-labeled DOTATATE (68 Ga-DOTATATE), a somatostatin receptor subtype-2 (SST2 )-binding PET tracer, for imaging atherosclerotic inflammation. Methods We confirmed68 Ga-DOTATATE binding in macrophages and excised carotid plaques.68 Ga-DOTATATE PET imaging was compared to [18 F]FDG PET imaging in 42 patients with atherosclerosis. Results Target SSTR2 gene expression occurred exclusively in “proinflammatory” M1 macrophages, specific68 Ga-DOTATATE ligand binding to SST2 receptors occurred in CD68-positive macrophage-rich carotid plaque regions, and carotid SSTR2 mRNA was highly correlated with in vivo68 Ga-DOTATATE PET signals (r = 0.89; 95% confidence interval [CI]: 0.28 to 0.99; p = 0.02).68 Ga-DOTATATE mean of maximum tissue-to-blood ratios (mTBRmax ) correctly identified culprit versus nonculprit arteries in patients with acute coronary syndrome (median difference: 0.69; interquartile range [IQR]: 0.22 to 1.15; p = 0.008) and transient ischemic attack/stroke (median difference: 0.13; IQR: 0.07 to 0.32; p = 0.003).68 Ga-DOTATATE mTBRmax predicted high-risk coronary computed tomography features (receiver operating characteristics area under the curve [ROC AUC]: 0.86; 95% CI: 0.80 to 0.92; p < 0.0001), and correlated with Framingham risk score (r = 0.53; 95% CI: 0.32 to 0.69; p <0.0001) and [18 F]FDG uptake (r = 0.73; 95% CI: 0.64 to 0.81; p < 0.0001). [18 F]FDG mTBRmax differentiated culprit from nonculprit carotid lesions (median difference: 0.12; IQR: 0.0 to 0.23; p = 0.008) and high-risk from lower-risk coronary arteries (ROC AUC: 0.76; 95% CI: 0.62 to 0.91; p = 0.002); however, myocardial [18 F]FDG spillover rendered coronary [18 F]FDG scans uninterpretable in 27 patients (64%). Coronary68 Ga-DOTATATE PET scans were readable in all patients. Conclusions We validated68 Ga-DOTATATE PET as a novel marker of atherosclerotic inflammation and confirmed that68 Ga-DOTATATE offers superior coronary imaging, excellent macrophage specificity, and better power to discriminate high-risk versus low-risk coronary lesions than [18 F]FDG. (Vascular Inflammation Imaging Using Somatostatin Receptor Positron Emission Tomography [VISION]; NCT02021188 )</abstract><doi>10.1016/j.jacc.2017.01.060</doi><oa>free_for_read</oa></addata></record> |
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| source | Elsevier ScienceDirect Journals Complete; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Alma/SFX Local Collection |
| subjects | Cardiovascular Internal Medicine |
| title | Detection of Atherosclerotic Inflammation by68 Ga-DOTATATE PET Compared to [18 F]FDG PET Imaging |
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