18F-PBR06 PET/CT imaging of inflammation and differentiation of lung cancer in mice
18F-PBR06 PET/CT imaging of inflammation and differentiation of lung cancer in mice
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18F-PBR06 小鼠肺癌炎症和分化的 PET/CT 成像
DOI:
10.1007/s41365-019-0597-z
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发表时间:
2019-04
影响因子:
2.8
通讯作者:
Dengfeng Cheng
中科院分区:
文献类型:
--
作者:
He Zhang;Hui Tan;Wujian Mao;Jun Zhou;Zhequan Fu;Yan Hu;Jie Xiao;Qingyu Lin;Hongcheng Shi;Dengfeng Cheng
The present study explored the 18-kDa translocator protein radioligand 18F-PBR06 as a PET imaging biomarker for diagnosis of inflammation and compared it with 18F-FDG for differentiation of inflammation and lung tumors in animals. 18F-PBR06 was synthesized with an average decay-corrected radiochemical yield of 30–40% (end of synthesis, EOS), and the radiochemical purity was greater than 99%. The inflammation-to-blood ratio of 18F-PBR06 (3.53 ± 0.26) was higher than the tumor-to-blood ratio (1.77 ± 0.35) (P < 0.001). The inflammation-to-muscle ratio of 18F-PBR06 (2.33 ± 0.64) was also higher than the tumor-to-muscle ratio (1.45 ± 0.14) (P = 0.036). Micro-PET/CT images showed high uptake of 18F-FDG in both inflamed muscles and lung tumor tissues. However, 18F-PBR06 uptake in inflamed muscles remained higher than that in the lung tumor tissues, following 90min of dynamic Micro-PET/CT imaging. Further, macrophages in the inflammatory regions showed a higher fluorescence signal than in lung tumor tissues. Results of the study confirmed that 18F-PBR06 PET/CT imaging allowed for diagnosis of inflammation. Moreover, 18F-PBR06 uptake in the inflammatory regions was significantly higher than in lung tumor tissues, suggesting that 18F-PBR06 PET/CT imaging has potential to differentiate between peripheral lung cancer and inflammation nodules.
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DOI:
10.1017/s002221511700247x
发表时间:
2017-12
期刊:
The Journal of Laryngology & Otology
影响因子:
--
作者:
N. Seymour;G. Burkill;M. Harries
通讯作者:
N. Seymour;G. Burkill;M. Harries
影响因子:
7.3
作者:
Briard E;Zoghbi SS;Siméon FG;Imaizumi M;Gourley JP;Shetty HU;Lu S;Fujita M;Innis RB;Pike VW
通讯作者:
Pike VW
影响因子:
12.4
作者:
Wu C;Yue X;Lang L;Kiesewetter DO;Li F;Zhu Z;Niu G;Chen X
通讯作者:
Chen X
DOI:
10.1016/b978-0-12-374279-7.17002-x
发表时间:
2016
期刊:
--
影响因子:
--
作者:
Sushil Kumar;Christopher J. Chan;L. Coussens
通讯作者:
Sushil Kumar;Christopher J. Chan;L. Coussens
影响因子:
39.3
作者:
Gaemperli, Oliver;Shalhoub, Joseph;Camici, Paolo G.
通讯作者:
Camici, Paolo G.