PET imaging of inflammation and adenocarcinoma xenografts using vascular adhesion protein 1 targeting peptide 68Ga-DOTAVAP-P1: comparison with 18F-FDG
Purpose The aim of this study was to evaluate inflammation and tumour imaging with a vascular adhesion protein 1 (VAP-1) targeting peptide 68 Ga-DOTAVAP-P1 in comparison with 18 F-FDG. Methods Rats with both subcutaneous human pancreatic adenocarcinoma xenografts and turpentine oil-induced acute ste...
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Veröffentlicht in: | European journal of nuclear medicine and molecular imaging 2010-10, Vol.37 (10), p.1918-1925 |
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Sprache: | eng |
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Zusammenfassung: | Purpose
The aim of this study was to evaluate inflammation and tumour imaging with a vascular adhesion protein 1 (VAP-1) targeting peptide
68
Ga-DOTAVAP-P1 in comparison with
18
F-FDG.
Methods
Rats with both subcutaneous human pancreatic adenocarcinoma xenografts and turpentine oil-induced acute sterile inflammation were evaluated by dynamic positron emission tomography (PET) and by digital autoradiography of tissue cryosections. Subsequently, the autoradiographs were combined with histological and immunohistological analysis of the sections.
Results
68
Ga-DOTAVAP-P1 delineated acute, sterile inflammation comparable with
18
F-FDG. However, the tumour uptake of
68
Ga-DOTAVAP-P1 was low in contrast to prominent
18
F-FDG uptake. The standardised uptake values of inflammation and tumours by PET were 1.1 ± 0.4 (mean ± SEM) and 0.4 ± 0.1 for
68
Ga-DOTAVAP-P1 and 2.0 ± 0.5 and 1.6 ± 0.8 for
18
F-FDG, respectively. In addition, PET studies showed inflammation to muscle and tumour to muscle ratios of 5.1 ± 3.1 and 1.7 ± 0.3 for
68
Ga-DOTAVAP-P1 and 6.2 ± 0.7 and 4.6 ± 2.2 for
18
F-FDG, respectively. Immunohistochemistry revealed increased expression of luminal VAP-1 on the endothelium at the site of inflammation and low expression in the tumour
Conclusion
The
68
Ga-DOTAVAP-P1 PET was able to visualise inflammation better than tumour, which was in accordance with the luminal expression of VAP-1 on vasculature in these experimental models. |
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ISSN: | 1619-7070 1619-7089 |
DOI: | 10.1007/s00259-010-1497-y |