32 research outputs found

    Noninvasive estimation of tumour viability in a xenograft model of human neuroblastoma with proton magnetic resonance spectroscopy (1H MRS)

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    The aim of the study was to evaluate proton magnetic resonance spectroscopy (1H MRS) for noninvasive biological characterisation of neuroblastoma xenografts in vivo. For designing the experiments, human neuroblastoma xenografts growing subcutaneously in nude rats were analysed in vivo with 1H MRS and magnetic resonance imaging at 4.7 T. The effects of spontaneous tumour growth and antiangiogenesis treatment, respectively, on spectral characteristics were evaluated. The spectroscopic findings were compared to tumour morphology, proliferation and viable tumour tissue fraction. The results showed that signals from choline (Cho)-containing compounds and mobile lipids (MLs) dominated the spectra. The individual ML/Cho ratios for both treated and untreated tumours were positively correlated with tumour volume (P<0.05). There was an inverse correlation between the ML/Cho ratio and the viable tumour fraction (r=−0.86, P<0.001). Higher ML/Cho ratios concomitant with pronounced histological changes were seen in spectra from tumours treated with the antiangiogenic drug TNP-470, compared to untreated control tumours (P<0.05). In conclusion, the ML/Cho ratio obtained in vivo by 1H MRS enabled accurate assessment of the viable tumour fraction in a human neuroblastoma xenograft model. 1H MRS also revealed early metabolic effects of antiangiogenesis treatment. 1H MRS could prove useful as a tool to monitor experimental therapy in preclinical models of neuroblastoma, and possibly also in children

    Inhibition of Pediatric Glioblastoma Tumor Growth by the Anti-Cancer Agent OKN-007 in Orthotopic Mouse Xenografts

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    We thank the Peggy and Charles Stephenson Cancer Center at the University of Oklahoma, Oklahoma City, OK, for funding, who received an Institutional Development Award (IDeA) from the National Institute of General Medical Sciences of the National Institutes of Health under grant number P20 GM103639 for the use of the Histology and Immunohistochemistry Core for providing immunohistochemistry and photographic services. This work was also supported by Oklahoma State University, Center of Veterinary Health Science (Support Grant AE-1-50060 to P.C.S.), the Musella Foundation (R.A.T.), and the Childhood Brain Tumor Foundation (R.A.T.).Pediatric glioblastomas (pGBM), although rare, are one of the leading causes of cancer-related deaths in children, with tumors essentially refractory to existing treatments. Here, we describe the use of conventional and advanced in vivo magnetic resonance imaging (MRI) techniques to assess a novel orthotopic xenograft pGBM mouse (IC-3752GBM patient-derived culture) model, and to monitor the effects of the anti-cancer agent OKN-007 as an inhibitor of pGBM tumor growth. Immunohistochemistry support data is also presented for cell proliferation and tumor growth signaling. OKN-007 was found to significantly decrease tumor volumes (p<0.05) and increase animal survival (p<0.05) in all OKN-007-treated mice compared to untreated animals. In a responsive cohort of treated animals, OKN-007 was able to significantly decrease tumor volumes (p<0.0001), increase survival (p<0.001), and increase diffusion (p<0.01) and perfusion rates (p<0.05). OKN-007 also significantly reduced lipid tumor metabolism in responsive animals (Lip1.3 and Lip0.9)-to-creatine ratio (p<0.05), as well as significantly decrease tumor cell proliferation (p<0.05) and microvessel density (p<0.05). Furthermore, in relationship to the PDGFRα pathway, OKN-007 was able to significantly decrease SULF2 (p<0.05) and PDGFR-α (platelet-derived growth factor receptor-α) (p<0.05) immunoexpression, and significantly increase decorin expression (p<0.05) in responsive mice. This study indicates that OKN-007 may be an effective anti-cancer agent for some patients with pGBMs by inhibiting cell proliferation and angiogenesis, possibly via the PDGFRα pathway, and could be considered as an additional therapy for pediatric brain tumor patients.Yeshttp://www.plosone.org/static/editorial#pee

    Selected-states magnetic-resonance spectroscopy: A potential method for huge improvement in sensitivity

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    The theoretical development of a method called Selected-States Magnetic-Reson ance Spectroscopy (SSMRS) is presented. The approach uses the Stern-Gerlach interaction for periodic displacement of paramagnetic elements by a periodically variable magnetic-field gradient. Measurement is performed by the method of Elasto-Magnetic–Resonance Spectroscopy (EMRS). The implementation of the proposed method has promising potential in magnetic resonance (MR), including huge improvement in sensitivity, measurement of MR parameters for selected Zeeman states and investigation of microviscosity in a medium containing paramagnetic elements

    DiabÚte insulino-dépendant et parachutisme

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    Définition des rÚgles de dérogation autorisant la pratique du parachutisme chez les sujets diabétiques insulino-dépendants

    Comparison of automated and visual texture analysis in MRI: characterization of normal and diseased skeletal muscle.

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    International audienceAutomated magnetic resonance imaging (MRI) texture analysis was compared with visual MRI analysis for the diagnosis of skeletal muscle dystrophy in 14 healthy and 17 diseased subjects. MRI texture analysis was performed on 8 muscle regions of interest (ROI) using four statistical methods (histogram, co-occurrence matrix, gradient matrix, runlength matrix) and one structural (mathematical morphology) method. Nine senior radiologists assessed full leg transverse slice images and proposed a diagnosis. The 59 extracted texture parameters for each ROI were statistically analyzed by Correspondence Factorial Analysis. Non-parametric tests were used to compare diagnoses based on automated texture analysis and visual analysis. Texture analysis methods discriminated between healthy volunteers and patients with a sensitivity of 70%, and a specificity of 86%. Comparison with visual analysis of MR images suggests that texture analysis can provide useful information contributing to the diagnosis of skeletal muscle disease

    Ex-vivo magnetic resonance image texture analysis can discriminate genotypic origin in bovine meat

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    International audienceTexture analysis (TA) combined with dedicated gradient echo magnetic resonance imaging (MRI) at high field provides specific parametric T-2* maps of connective tissue and allows statistical analysis of the resulting texture. The present study clearly demonstrates that MRI-TA of bovine meat can discriminate between muscle types Gluteo biceps and Pectoralis profundus, and between genotype origins corresponding to the mutation on the myostatin gene: normal +/+, heterozygous mhl+ or homozygous double-muscled mh/mh Belgian White Blue bulls. Values of interclass separations reflect the significantly different collagen and fat contents in these genotypes. To our knowledge, no previous study has demonstrated such a correlation between MRI texture and genetics-related modifications
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