Dual imaging gold nanoplatforms for targeted radiotheranostics

Gold nanoparticles (AuNPs) are interesting for the design of new cancer theranostic tools, mainly due to their biocompatibility, easy molecular vectorization, and good biological half-life. Herein, we report a gold nanoparticle platform as a bimodal imaging probe, capable of coordinating Gd3+ for Magnetic Resonance Imaging (MRI) and 67Ga3+ for Single Photon Emission Computed Tomography (SPECT) imaging. Our AuNPs carry a bombesin analogue with anity towards the gastrin releasing peptide receptor (GRPr), overexpressed in a variety of human cancer cells, namely PC3 prostate cancer cells. The potential of these multimodal imaging nanoconstructs was thoroughly investigated by the assessment of their magnetic properties, in vitro cellular uptake, biodistribution, and radiosensitisation assays. The relaxometric properties predict a potential T1-and T2-MRI application. The promising in vitro cellular uptake of 67Ga/Gd-based bombesin containing particles was confirmed through biodistribution studies in tumor bearing mice, indicating their integrity and ability to target the GRPr. Radiosensitization studies revealed the therapeutic potential of the nanoparticles. Moreover, the DOTA chelating unit moiety versatility gives a high theranostic potential through the coordination of other therapeutically interesting radiometals. Altogether, our nanoparticles are interesting nanomaterial for theranostic application and as bimodal T1-and T2-MRI / SPECT imaging probes.This research was funded by FCT (Portuguese Foundation for Science and Technology), grant numbers EXCL/QEQ-MED/0233/2012, UID/Multi/04349/2013 and PTDC/MED-QUI/29649/2017. CFGCG and MMCAC thank FCT and FEDER through the COMPETE Program for funding the CQC (UID/QUI/00313/2013 and PEst-OE/QUI/UI0313/2014). P.L-L. thanks Ministry of Economy, Industry and Competitiviy for SAF2017-83043-R, and Comunity of Madrid, FEDER and FSE for S2017/BMD-368

The impact of image dynamic range on texture classification of brain white matter

<p>Abstract</p> <p>Background</p> <p>The Greylevel Cooccurrence Matrix method (COM) is one of the most promising methods used in Texture Analysis of Magnetic Resonance Images. This method provides statistical information about the spatial distribution of greylevels in the image which can be used for classification of different tissue regions. Optimizing the size and complexity of the COM has the potential to enhance the reliability of Texture Analysis results. In this paper we investigate the effect of matrix size and calculation approach on the ability of COM to discriminate between peritumoral white matter and other white matter regions.</p> <p>Method</p> <p>MR images were obtained from patients with histologically confirmed brain glioblastoma using MRI at 3-T giving isotropic resolution of 1 mm³. Three Regions of Interest (ROI) were outlined in visually normal white matter on three image slices based on relative distance from the tumor: one peritumoral white matter region and two distant white matter regions on both hemispheres. Volumes of Interest (VOI) were composed from the three slices. Two different calculation approaches for COM were used: i) Classical approach (CCOM) on each individual ROI, and ii) Three Dimensional approach (3DCOM) calculated on VOIs. For, each calculation approach five dynamic ranges (number of greylevels N) were investigated (N = 16, 32, 64, 128, and 256).</p> <p>Results</p> <p>Classification showed that peritumoral white matter always represents a homogenous class, separate from other white matter, regardless of the value of N or the calculation approach used. The best test measures (sensitivity and specificity) for average CCOM were obtained for N = 128. These measures were also optimal for 3DCOM with N = 128, which additionally showed a balanced tradeoff between the measures.</p> <p>Conclusion</p> <p>We conclude that the dynamic range used for COM calculation significantly influences the classification results for identical samples. In order to obtain more reliable classification results with COM, the dynamic range must be optimized to avoid too small or sparse matrices. Larger dynamic ranges for COM calculations do not necessarily give better texture results; they might increase the computation costs and limit the method performance.</p

Detection of cerebellar hyperintensity on unenhanced MR images at 7T after cumulative injections of gadodiamide in healthy rats

National audienc

Effet des injections répétées de gadodiamide sur le métabolisme cérébelleux chez le rat mesuré in vivo par 1H SRM

International audienc

Une exposition périnatale aux dérivés dichlorés du Bisphénol A altère le métabolisme et la microarchitecture hippocampique : étude par IRM et 1H SRM chez la souris

International audienc

Characterization of TIEG1 KO muscle structure with diffusion weighted-MRI

International audienc

Perinatal exposure to dichloro-bisphenol A alters hepatic lipid composition in mouse: a study by MRI and 1H MRS

International audienc

Perinatal exposure to dichloro-bisphenol A alters lipid composition of mouse liver

International audienc

Detection of cerebellar hyperintensity on unenhanced MR images at 7T after cumulative injections of gadodiamide in healthy rats

International audienc