The highly used cancer imaging technique, [18F]FDG-PET, is based on the increased glucose metabolic activity in tumors. However, since there are other biological processes that exhibit increased metabolic activity, in particular inflammation, this methodology is prone to non-specificity for cancer. Herein we describe the development of a novel nanoparticle-based approach, utilizes Glucose-Functionalized Gold Nanoparticles (GF-GNPs) as a metabolically targeted CT contrast agent. Our method has demonstrated specific tumor targeting and has successfully differentiated between cancer and inflammation in a combined tumor-inflammation mouse model, due to dissimilarities in vasculatures in different pathologic conditions. This novel approach provides new capabilities in cancer imaging, and can be applicable to a wide range of cancers.
Tamar Dreifuss, Menachem Motiei, Oshra Betzer, Aron Popovtzer, Galith Abourbeh, Eyal Mishani, and Rachela Popovtzer, "Glucose-functionalized gold nanoparticles as a metabolically targeted CT contrast agent for distinguishing tumors from non-malignant metabolically active processes," Proc. SPIE 10077, Nanoscale Imaging, Sensing, and Actuation for Biomedical Applications XIV, 100770I (Presented at SPIE BiOS: January 31, 2017; Published: 22 February 2017); https://doi.org/10.1117/12.2249850.
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