Research output: Contribution to journal › Article
S. DIocou, A. Volpe, M. Jauregui-Osoro, M. Boudjemeline, K. Chuamsaamarkkee, F. Man, P. J. Blower, T. Ng, G. E.D. Mullen, G. O. Fruhwirth
Original language | English |
---|---|
Article number | 946 |
Journal | Scientific Reports |
Volume | 7 |
Issue number | 1 |
DOIs | |
Accepted/In press | 17 Mar 2017 |
Published | 19 Apr 2017 |
Additional links |
[18F]tetrafluoroborate-PET_DIACOU_Publishedonline19April2017_GOLD VoR (CC-BY)
_18F_tetrafluoroborate_PET_DIACOU_Publishedonline19April2017_GOLD_VoR_CC_BY_.pdf, 3.83 MB, application/pdf
Uploaded date:24 May 2017
Version:Final published version
Licence:CC BY
Cancer cell metastasis is responsible for most cancer deaths. Non-invasive in vivo cancer cell tracking in spontaneously metastasizing tumor models still poses a challenge requiring highest sensitivity and excellent contrast. The goal of this study was to evaluate if the recently introduced PET radiotracer [18F]tetrafluoroborate ([18F]BF4-) is useful for sensitive and specific metastasis detection in an orthotopic xenograft breast cancer model expressing the human sodium iodide symporter (NIS) as a reporter. In vivo imaging was complemented by ex vivo fluorescence microscopy and γ-counting of harvested tissues. Radionuclide imaging with [18F]BF4- (PET/CT) was compared to the conventional tracer [123I]iodide (sequential SPECT/CT). We found that [18F]BF4- was superior due to better pharmacokinetics, i.e. faster tumor uptake and faster and more complete clearance from circulation. [18F]BF4--PET was also highly specific as in all detected tissues cancer cell presence was confirmed microscopically. Undetected comparable tissues were similarly found to be free of metastasis. Metastasis detection by routine metabolic imaging with [18F]FDG-PET failed due to low standard uptake values and low contrast caused by adjacent metabolically active organs in this model. [18F]BF4--PET combined with NIS expressing disease models is particularly useful whenever preclinical in vivo cell tracking is of interest.
King's College London - Homepage
© 2020 King's College London | Strand | London WC2R 2LS | England | United Kingdom | Tel +44 (0)20 7836 5454