Literature DB >> 26122428

Comparison of Somatostatin Receptor 2-Targeting PET Tracers in the Detection of Mouse Atherosclerotic Plaques.

Petteri Rinne1, Sanna Hellberg1, Max Kiugel1, Jenni Virta1, Xiang-Guo Li1, Meeri Käkelä1, Kerttuli Helariutta2, Pauliina Luoto1, Heidi Liljenbäck1,3, Harri Hakovirta4, Maria Gardberg5, Anu J Airaksinen2, Juhani Knuuti1, Antti Saraste1,6, Anne Roivainen7,8.   

Abstract

PURPOSE: Rupture-prone atherosclerotic plaques are characterized by accumulation of macrophages, which have shown to express somatostatin type 2 receptors. We aimed to investigate whether somatostatin receptor-targeting positron emission tomography (PET) tracers, [(68)Ga]DOTANOC, [(18)F]FDR-NOC, and [(68)Ga]DOTATATE, can detect inflamed atherosclerotic plaques. PROCEDURES: Atherosclerotic IGF-II/LDLR(-/-)ApoB(100/100) mice were studied in vivo and ex vivo for tracer uptake into atherosclerotic plaques. Furthermore, [(68)Ga]DOTANOC and [(68)Ga]DOTATATE were compared in a head-to-head setting for in vivo PET/X-ray computed tomography (CT) imaging characteristics.
RESULTS: Ex vivo uptake of [(68)Ga]DOTANOC and [(68)Ga]DOTATATE in the aorta was higher in atherosclerotic mice compared to control C57Bl/6N mice, while the aortic uptake of [(18)F]FDR-NOC showed no genotype difference. Unlike [(18)F]FDR-NOC, [(68)Ga]DOTANOC and [(68)Ga]DOTATATE showed preferential binding to atherosclerotic plaques with plaque-to-wall ratio of 1.7 ± 0.3 and 2.1 ± 0.5, respectively. However, the aortic uptake and aorta-to-blood ratio of [(68)Ga]DOTANOC were higher compared to [(68)Ga]DOTATATE in in vivo PET/CT imaging.
CONCLUSION: Our results demonstrate superior applicability for [(68)Ga]DOTANOC and [(68)Ga]DOTATATE in the detection of atherosclerotic plaques compared to [(18)F]FDR-NOC.

Entities:  

Keywords:  Atherosclerosis; Autoradiography; Biodistribution; Positron emission tomography; Somatostatin receptor

Mesh:

Substances:

Year:  2016        PMID: 26122428     DOI: 10.1007/s11307-015-0873-1

Source DB:  PubMed          Journal:  Mol Imaging Biol        ISSN: 1536-1632            Impact factor:   3.488


  38 in total

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