| Autor: |
Tarkin, JM, Joshi, FR, Evans, NR, Chowdhury, MM, Figg, NL, Shah, AV, Starks, LT, Martin-Garrido, A, Manavaki, R, Yu, E, Kuc, RE, Grassi, L, Kreuzhuber, R, Kostadima, MA, Frontini, M, Kirkpatrick, PJ, Coughlin, PA, Gopalan, D, Fryer, TD, Buscombe, Groves, AM, Ouwehand, WH, Bennett, MR, Warburton, EA, Davenport, AP, Rudd, JHF |
| Jazyk: |
angličtina |
| Předmět: |
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| ISSN: |
0202-1188 |
| Popis: |
$\textbf{Background}$ 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. $\textbf{Objectives}$ 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. $\textbf{Methods}$ 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. $\textbf{Results}$ Target $\textit{SSTR2}$ 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 $\textit{SSTR2}$ 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 |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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