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Detection of Atherosclerotic Inflammation by (68)Ga-DOTATATE PET Compared to [(18)F]FDG PET Imaging

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. OBJ...

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Autores principales: Tarkin, Jason M., Joshi, Francis R., Evans, Nicholas R., Chowdhury, Mohammed M., Figg, Nichola L., Shah, Aarti V., Starks, Lakshi T., Martin-Garrido, Abel, Manavaki, Roido, Yu, Emma, Kuc, Rhoda E., Grassi, Luigi, Kreuzhuber, Roman, Kostadima, Myrto A., Frontini, Mattia, Kirkpatrick, Peter J., Coughlin, Patrick A., Gopalan, Deepa, Fryer, Tim D., Buscombe, John R., Groves, Ashley M., Ouwehand, Willem H., Bennett, Martin R., Warburton, Elizabeth A., Davenport, Anthony P., Rudd, James H.F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Biomedical 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5381358/
https://www.ncbi.nlm.nih.gov/pubmed/28385306
http://dx.doi.org/10.1016/j.jacc.2017.01.060
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author Tarkin, Jason M.
Joshi, Francis R.
Evans, Nicholas R.
Chowdhury, Mohammed M.
Figg, Nichola L.
Shah, Aarti V.
Starks, Lakshi T.
Martin-Garrido, Abel
Manavaki, Roido
Yu, Emma
Kuc, Rhoda E.
Grassi, Luigi
Kreuzhuber, Roman
Kostadima, Myrto A.
Frontini, Mattia
Kirkpatrick, Peter J.
Coughlin, Patrick A.
Gopalan, Deepa
Fryer, Tim D.
Buscombe, John R.
Groves, Ashley M.
Ouwehand, Willem H.
Bennett, Martin R.
Warburton, Elizabeth A.
Davenport, Anthony P.
Rudd, James H.F.
author_facet Tarkin, Jason M.
Joshi, Francis R.
Evans, Nicholas R.
Chowdhury, Mohammed M.
Figg, Nichola L.
Shah, Aarti V.
Starks, Lakshi T.
Martin-Garrido, Abel
Manavaki, Roido
Yu, Emma
Kuc, Rhoda E.
Grassi, Luigi
Kreuzhuber, Roman
Kostadima, Myrto A.
Frontini, Mattia
Kirkpatrick, Peter J.
Coughlin, Patrick A.
Gopalan, Deepa
Fryer, Tim D.
Buscombe, John R.
Groves, Ashley M.
Ouwehand, Willem H.
Bennett, Martin R.
Warburton, Elizabeth A.
Davenport, Anthony P.
Rudd, James H.F.
author_sort Tarkin, Jason M.
collection PubMed
description 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 (SST(2))-binding PET tracer, for imaging atherosclerotic inflammation. METHODS: We confirmed (68)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, specific (68)Ga-DOTATATE ligand binding to SST(2) receptors occurred in CD68-positive macrophage-rich carotid plaque regions, and carotid SSTR2 mRNA was highly correlated with in vivo (68)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 (mTBR(max)) 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 mTBR(max) 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 mTBR(max) 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%). Coronary (68)Ga-DOTATATE PET scans were readable in all patients. CONCLUSIONS: We validated (68)Ga-DOTATATE PET as a novel marker of atherosclerotic inflammation and confirmed that (68)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)
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spelling pubmed-53813582017-04-12 Detection of Atherosclerotic Inflammation by (68)Ga-DOTATATE PET Compared to [(18)F]FDG PET Imaging Tarkin, Jason M. Joshi, Francis R. Evans, Nicholas R. Chowdhury, Mohammed M. Figg, Nichola L. Shah, Aarti V. Starks, Lakshi T. Martin-Garrido, Abel Manavaki, Roido Yu, Emma Kuc, Rhoda E. Grassi, Luigi Kreuzhuber, Roman Kostadima, Myrto A. Frontini, Mattia Kirkpatrick, Peter J. Coughlin, Patrick A. Gopalan, Deepa Fryer, Tim D. Buscombe, John R. Groves, Ashley M. Ouwehand, Willem H. Bennett, Martin R. Warburton, Elizabeth A. Davenport, Anthony P. Rudd, James H.F. J Am Coll Cardiol Original Investigation 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 (SST(2))-binding PET tracer, for imaging atherosclerotic inflammation. METHODS: We confirmed (68)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, specific (68)Ga-DOTATATE ligand binding to SST(2) receptors occurred in CD68-positive macrophage-rich carotid plaque regions, and carotid SSTR2 mRNA was highly correlated with in vivo (68)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 (mTBR(max)) 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 mTBR(max) 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 mTBR(max) 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%). Coronary (68)Ga-DOTATATE PET scans were readable in all patients. CONCLUSIONS: We validated (68)Ga-DOTATATE PET as a novel marker of atherosclerotic inflammation and confirmed that (68)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) Elsevier Biomedical 2017-04-11 /pmc/articles/PMC5381358/ /pubmed/28385306 http://dx.doi.org/10.1016/j.jacc.2017.01.060 Text en © 2017 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Original Investigation
Tarkin, Jason M.
Joshi, Francis R.
Evans, Nicholas R.
Chowdhury, Mohammed M.
Figg, Nichola L.
Shah, Aarti V.
Starks, Lakshi T.
Martin-Garrido, Abel
Manavaki, Roido
Yu, Emma
Kuc, Rhoda E.
Grassi, Luigi
Kreuzhuber, Roman
Kostadima, Myrto A.
Frontini, Mattia
Kirkpatrick, Peter J.
Coughlin, Patrick A.
Gopalan, Deepa
Fryer, Tim D.
Buscombe, John R.
Groves, Ashley M.
Ouwehand, Willem H.
Bennett, Martin R.
Warburton, Elizabeth A.
Davenport, Anthony P.
Rudd, James H.F.
Detection of Atherosclerotic Inflammation by (68)Ga-DOTATATE PET Compared to [(18)F]FDG PET Imaging
title Detection of Atherosclerotic Inflammation by (68)Ga-DOTATATE PET Compared to [(18)F]FDG PET Imaging
title_full Detection of Atherosclerotic Inflammation by (68)Ga-DOTATATE PET Compared to [(18)F]FDG PET Imaging
title_fullStr Detection of Atherosclerotic Inflammation by (68)Ga-DOTATATE PET Compared to [(18)F]FDG PET Imaging
title_full_unstemmed Detection of Atherosclerotic Inflammation by (68)Ga-DOTATATE PET Compared to [(18)F]FDG PET Imaging
title_short Detection of Atherosclerotic Inflammation by (68)Ga-DOTATATE PET Compared to [(18)F]FDG PET Imaging
title_sort detection of atherosclerotic inflammation by (68)ga-dotatate pet compared to [(18)f]fdg pet imaging
topic Original Investigation
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5381358/
https://www.ncbi.nlm.nih.gov/pubmed/28385306
http://dx.doi.org/10.1016/j.jacc.2017.01.060
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