4.5 Article

Imaging tumour distribution of a polymeric drug delivery platform in vivo by PET-MRI

Journal

JOURNAL OF CHEMICAL TECHNOLOGY AND BIOTECHNOLOGY
Volume 90, Issue 7, Pages 1237-1244

Publisher

WILEY
DOI: 10.1002/jctb.4489

Keywords

positron emission tomography; magnetic resonance imaging; drug delivery; molecular imaging

Funding

  1. Australian Research Council [FT110100284, FT100100721, DP1094205]
  2. Australian Commonwealth Government through an Australian Postgraduate Award
  3. Australian Research Council Centre of Excellence in Convergent Bio-Nano Science and Technology [CE140100036]
  4. Australian Research Council [FT110100284, DP1094205, FT100100721] Funding Source: Australian Research Council

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BACKGROUNDOver the past decade, molecular imaging has played a key role in the progression of drug delivery platforms from concept to commercialization. Of the molecular imaging techniques commonly utilized, 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 focused 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. RESULTSThe information available from an ExiTron nano 6000 contrast enhanced PET/CT and a gadolinium (Gd) enhanced PET/MRI image of a Cu-64 labeled HBP in the same mouse was compared qualitatively. CONCLUSIONSGd 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. (c) 2014 Society of Chemical Industry

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