Imaging tumour distribution of a polymeric drug delivery platformin vivoby PET-MRI
Data(s) |
02/09/2014
|
---|---|
Resumo |
Background Over the past decade, molecular imaging has played a key role in the progression of drug delivery platforms from concept to commercialisation. Of the molecular imaging techniques commonly utilised, positron emission tomography (PET) can yield a breadth of information not easily accessible by other methodologies and when combined with other complementary imaging modalities, is a powerful tool for pre- and clinical development of therapeutics. However, very little research has focussed on the information available from complimentary imaging modalities. This paper reports on the data-rich methodologies of contrast enhanced PET/CT and PET/MRI for probing efficacy of polymer drug delivery platforms. Results The information available from an ExiTron nano 6000 contrast enhanced PET/CT and a gadolinium (Gd) enhanced PET/MRI image of a 64Cu labeled HBP in the same mouse was qualitatively compared. Conclusions Gd contrast enhanced PET/MRI offers a powerful methodology for investigating the distribution of polymer drug delivery platforms in vivo and throughout a tumour volume. Furthermore, information about depth of penetration away from primary blood vessels can be gleaned, potentially leading to development of more efficacious delivery vehicles for clinical use. |
Identificador | |
Publicador |
John Wiley & Sons Ltd. |
Relação |
http://onlinelibrary.wiley.com/doi/10.1002/jctb.4489/abstract DOI:10.1002/jctb.4489 Puttick, Simon, Boase, Nathan R. B., Blakey, Idriss, & Thurecht, Kristofer J. (2014) Imaging tumour distribution of a polymeric drug delivery platformin vivoby PET-MRI. Journal of Chemcial Technology and Biotechnology, 90(7), pp. 1237-1244. |
Direitos |
Copyright 2014 John Wiley & Sons Ltd. |
Fonte |
School of Chemistry, Physics & Mechanical Engineering; Science & Engineering Faculty |
Palavras-Chave | #Positron emission tomography #Magnetic resonance imaging #Drug delivery #Molecular imaging |
Tipo |
Journal Article |