Detection of Atherosclerotic Inflammation by 68Ga-DOTATATE PET Compared to [18F]FDG PET Imaging
Jason M Tarkin, Francis R Joshi, Nicholas R Evans, Mohammed M Chowdhury, Nichola L Figg, Aarti V Shah, Lakshi T Starks, Abel Martin-Garrido, Roido Manavaki, Emma Yu, Rhoda E Kuc, Luigi Grassi, Roman Kreuzhuber, Myrto A Kostadima, Mattia Frontini, Peter J Kirkpatrick, Patrick A Coughlin, Deepa Gopalan, Tim D Fryer, John R Buscombe, Ashley M Groves, Willem H Ouwehand, Martin R Bennett, Elizabeth A Warburton, Anthony P Davenport, James H F Rudd, Jason M Tarkin, Francis R Joshi, Nicholas R Evans, Mohammed M Chowdhury, Nichola L Figg, Aarti V Shah, Lakshi T Starks, Abel Martin-Garrido, Roido Manavaki, Emma Yu, Rhoda E Kuc, Luigi Grassi, Roman Kreuzhuber, Myrto A Kostadima, Mattia Frontini, Peter J Kirkpatrick, Patrick A Coughlin, Deepa Gopalan, Tim D Fryer, John R Buscombe, Ashley M Groves, Willem H Ouwehand, Martin R Bennett, Elizabeth A Warburton, Anthony P Davenport, James H F Rudd
Abstract
Background: Inflammation drives atherosclerotic plaque rupture. Although inflammation can be measured using fluorine-18-labeled fluorodeoxyglucose positron emission tomography ([18F]FDG PET), [18F]FDG lacks cell specificity, and coronary imaging is unreliable because of myocardial spillover.
Objectives: This study tested the efficacy of gallium-68-labeled DOTATATE (68Ga-DOTATATE), a somatostatin receptor subtype-2 (SST2)-binding PET tracer, for imaging atherosclerotic inflammation.
Methods: We confirmed 68Ga-DOTATATE binding in macrophages and excised carotid plaques. 68Ga-DOTATATE PET imaging was compared to [18F]FDG PET imaging in 42 patients with atherosclerosis.
Results: Target SSTR2 gene expression occurred exclusively in "proinflammatory" M1 macrophages, specific 68Ga-DOTATATE ligand binding to SST2 receptors occurred in CD68-positive macrophage-rich carotid plaque regions, and carotid SSTR2 mRNA was highly correlated with in vivo 68Ga-DOTATATE PET signals (r = 0.89; 95% confidence interval [CI]: 0.28 to 0.99; p = 0.02). 68Ga-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). 68Ga-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 [18F]FDG uptake (r = 0.73; 95% CI: 0.64 to 0.81; p < 0.0001). [18F]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 [18F]FDG spillover rendered coronary [18F]FDG scans uninterpretable in 27 patients (64%). Coronary 68Ga-DOTATATE PET scans were readable in all patients.
Conclusions: We validated 68Ga-DOTATATE PET as a novel marker of atherosclerotic inflammation and confirmed that 68Ga-DOTATATE offers superior coronary imaging, excellent macrophage specificity, and better power to discriminate high-risk versus low-risk coronary lesions than [18F]FDG. (Vascular Inflammation Imaging Using Somatostatin Receptor Positron Emission Tomography [VISION]; NCT02021188).
Keywords: atherosclerosis; inflammation; macrophages; molecular imaging; positron emission tomography; somatostatin receptor.
Copyright © 2017 The Authors. Published by Elsevier Inc. All rights reserved.
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Source: PubMed