9 March 2018 3D imaging of theranostic nanoparticles in mice organs by means of x-ray phase contrast tomography
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Abstract
Theranostics is an innovative research field that aims to develop high target specificity cancer treatments by administering small metal-based nanoparticles (NPs). This new generation of compounds exhibits diagnostic and therapeutic properties due to the high atomic number of their metal component. In the framework of a combined research program on low dose X-ray imaging and theranostic NPs, X-ray Phase Contrast Tomography (XPCT) was performed at ESRF using a 3 μm pixel optical system on two samples: a mouse brain bearing melanoma metastases injected with gadolinium NPs and, a mouse liver injected with gold NPs. XPCT is a non-destructive technique suitable to achieve the 3D reconstruction of a specimen and, widely used at micro-scale to detect abnormalities of the vessels, which are associated to the tumor growth or to the development of neurodegenerative diseases. Moreover, XPCT represents a promising and complementary tool to study the biodistribution of theranostic NPs in biological materials, thanks to the strong contrast with respect to soft tissues that metal-based NPs provide in radiological images. This work is relied on an original imaging approach based on the evaluation of the contrast differences between the images acquired below and above K-edge energies, as a proof of the certain localization of NPs. We will present different methods aiming to enhance the localization of NPs and a 3D map of their distribution in large volume of tissues.
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E. Longo, E. Longo, A. Bravin, A. Bravin, F. Brun, F. Brun, I. Bukreeva, I. Bukreeva, A. Cedola, A. Cedola, O. De La Rochefoucauld, O. De La Rochefoucauld, M. Fratini, M. Fratini, X. Le Guevel, X. Le Guevel, L. Massimi, L. Massimi, L. Sancey, L. Sancey, O. Tillement, O. Tillement, P. Zeitoun, P. Zeitoun, } "3D imaging of theranostic nanoparticles in mice organs by means of x-ray phase contrast tomography", Proc. SPIE 10573, Medical Imaging 2018: Physics of Medical Imaging, 105734I (9 March 2018); doi: 10.1117/12.2293090; https://doi.org/10.1117/12.2293090
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