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Article

Imaging and Characterization of Sustained Gadolinium Nanoparticle Release from Next Generation Radiotherapy Biomaterial

1
Department Data Analysis and Modeling in Medicine, Mannheim Institute for Intelligent Systems in Medicine (MIISM), Heidelberg University, 69117 Heidelberg, Germany
2
Department of Radiation Oncology, Brigham and Women’s Hospital, Dana-Farber Cancer Institute, Boston, MA 02115, USA
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Department of Radiation Oncology, Harvard Medical School, Boston, MA 02115, USA
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Department of Physics, University of Massachusetts Lowell, Lowell, MA 01854, USA
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Department of Imaging, Lurie Family Imaging Center, Center for Biomedical Imaging in Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA 02110, USA
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Institut Lumière Matière, CNRS, Université de Lyon, 69622 Villeurbanne, France
7
Interdisciplinary Center for Scientific Computing (IWR), Heidelberg University, 69120 Heidelberg, Germany
8
Central Institute for Computer Engineering (ZITI), Heidelberg University, 68159 Mannheim, Germany
*
Author to whom correspondence should be addressed.
Nanomaterials 2020, 10(11), 2249; https://doi.org/10.3390/nano10112249
Received: 28 September 2020 / Revised: 3 November 2020 / Accepted: 8 November 2020 / Published: 13 November 2020
(This article belongs to the Special Issue Nanomaterials for Contrast Agent and Biomedical Imaging)
Smart radiotherapy biomaterials (SRBs) present a new opportunity to enhance image-guided radiotherapy while replacing routinely used inert radiotherapy biomaterials like fiducials. In this study the potential of SRBs loaded with gadolinium-based nanoparticles (GdNPs) is investigated for magnetic resonance imaging (MRI) contrast. GdNP release from SRB is quantified and modelled for accurate prediction. SRBs were manufactured similar to fiducials, with a cylindrical shell consisting of poly(lactic-co-glycolic) acid (PLGA) and a core loaded with GdNPs. Magnetic resonance imaging (MRI) contrast was investigated at 7T in vitro (in agar) and in vivo in subcutaneous tumors grown with the LLC1 lung cancer cell line in C57/BL6 mice. GdNPs were quantified in-phantom and in tumor and their release was modelled by the Weibull distribution. Gd concentration was linearly fitted to the R1 relaxation rate with a detection limit of 0.004 mmol/L and high confidence level (R2 = 0.9843). GdNP loaded SRBs in tumor were clearly visible up to at least 14 days post-implantation. Signal decrease during this time showed GdNP release in vivo, which was calculated as 3.86 ± 0.34 µg GdNPs release into the tumor. This study demonstrates potential and feasibility for SRBs with MRI-contrast, and sensitive GdNP quantification and release from SRBs in a preclinical animal model. The feasibility of monitoring nanoparticle (NP) concentration during treatment, allowing dynamic quantitative treatment planning, is also discussed. View Full-Text
Keywords: gadolinium-based nanoparticles; magnetic resonance imaging; biomaterials; quantitative magnetic resonance imaging gadolinium-based nanoparticles; magnetic resonance imaging; biomaterials; quantitative magnetic resonance imaging
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MDPI and ACS Style

Mueller, R.; Moreau, M.; Yasmin-Karim, S.; Protti, A.; Tillement, O.; Berbeco, R.; Hesser, J.; Ngwa, W. Imaging and Characterization of Sustained Gadolinium Nanoparticle Release from Next Generation Radiotherapy Biomaterial. Nanomaterials 2020, 10, 2249. https://doi.org/10.3390/nano10112249

AMA Style

Mueller R, Moreau M, Yasmin-Karim S, Protti A, Tillement O, Berbeco R, Hesser J, Ngwa W. Imaging and Characterization of Sustained Gadolinium Nanoparticle Release from Next Generation Radiotherapy Biomaterial. Nanomaterials. 2020; 10(11):2249. https://doi.org/10.3390/nano10112249

Chicago/Turabian Style

Mueller, Romy, Michele Moreau, Sayeda Yasmin-Karim, Andrea Protti, Olivier Tillement, Ross Berbeco, Jürgen Hesser, and Wilfred Ngwa. 2020. "Imaging and Characterization of Sustained Gadolinium Nanoparticle Release from Next Generation Radiotherapy Biomaterial" Nanomaterials 10, no. 11: 2249. https://doi.org/10.3390/nano10112249

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