[Show abstract][Hide abstract] ABSTRACT: To discuss the therapeutic approach for primary neurolymphomatosis.
We report all primary neurolymphomatosis cases referred to our institution, with descriptions of clinical, radiological, electrophysiological, histological features and long-term follow-up. We treated all patients with a combination of high-dose methotrexate and alkylating agents.
Five patients were diagnosed with histologically confirmed primary neurolymphomatosis. The majority of them presented with painful asymmetric sensory-motor neuropathy. Magnetic resonance imaging was abnormal in 4 of 5 patients, as shown with gadolinium enhancements. Electroneuromyography revealed denervation in all 4 cases with contributive examinations. All our patients received a chemotherapy combination of high-dose methotrexate and alkylating agent. Median progression-free survival was 8months (2 complete responses and 2 partial responses), and overall survival was 24months.
Primary neurolymphomatosis is rare and polymorphic; it represents a difficult diagnosis of neuropathy. In our cohort, treatment with a chemotherapy combination with high-dose methotrexate showed encouraging results.
Journal of the neurological sciences 05/2014; 342(1-2). DOI:10.1016/j.jns.2014.04.030 · 2.47 Impact Factor
[Show abstract][Hide abstract] ABSTRACT: L'imagerie par résonance magnétique nucléaire (IRM) est la méthode d'imagerie appropriée pour l'étude de la maturation cérébrale, en particulier de la myélinisation. L'IRM apporte aussi une approche fonctionnelle du développement cérébral par l'utilisation de séquences de diffusion et de la spectrométrie du proton. Dans cet article, les techniques IRM sont détaillées pour les périodes à la fois pré- et postnatales. L'effet de la maturation sur le signal de résonance magnétique nucléaire doit être également pris en compte afin de comprendre la maturation normale et par conséquent son influence sur les différentes pathologies rencontrées avant et après la naissance. L'IRM étant aveugle en termes de signal sur les séquences conventionnelles après 2ans, une attention particulière est donc donnée aux images de diffusion et à la spectrométrie de protons.
[Show abstract][Hide abstract] ABSTRACT: Background and purpose:
Pretherapeutic determination of tumor grade and genotype in grade II and III oligodendroglial tumors is clinically important but is still challenging. Tumor grade and 1p/19q status are currently the 2 most important factors in therapeutic decision making for patients with these tumors. Histopathology and cMRI studies are still limited in some cases. In the present study, we were interested in determining whether the combination of PWI, DWI, and MR spectroscopy could help distinguish oligodendroglial tumors according to their histopathologic grade and genotype.
Materials and methods:
We retrospectively reviewed 50 adult patients with grade II and III oligodendrogliomas and oligoastrocytomas who had DWI, PWI, and MR spectroscopy at short and long TE data and known 1p/19q status. Univariate analyses and multivariate random forest models were performed to determine which criteria could differentiate between grades and genotypes.
ADC, rCBV, rCBF, and rK2 were significantly different between grade II and III oligodendroglial tumors. DWI, PWI, and MR spectroscopy showed no significant difference between tumors with and without 1p/19q loss. Separation between tumor grades and genotypes with cMRI alone showed 31% and 48% misclassification rates, respectively. Multimodal MR imaging helps to determine tumor grade and 1p/19q genotype more accurately (misclassification rates of 17% and 40%, respectively).
Although multimodal investigation of oligodendroglial tumors has a lower contribution to 1p/19q genotyping compared with cMRI alone, it greatly improves the accuracy of grading of these neoplasms. Use of multimodal MR imaging could thus provide valuable information that may assist clinicians in patient preoperative management and treatment decision making.
American Journal of Neuroradiology 12/2012; 34(7). DOI:10.3174/ajnr.A3352 · 3.59 Impact Factor
[Show abstract][Hide abstract] ABSTRACT: MRI is currently the method of choice to evaluate brain maturation. MRI provides improved anatomical details and accurate depiction of the morphological and signal changes of normal brain development and its disorders. It also gives insight into the microstructure of brain tissue and into mechanisms of injury through diffusion-weighted imaging and diffusion-tensor imaging, and into the brains biochemical composition through proton MR spectroscopy. Computational automated techniques are emerging that help to generate a 3D fetal atlas by motion-corrected high resolution images, to more precisely identify volumetric brain growth, cortical folding over gestational age and white matter organization. Validations by clinical studies are still needed, especially in applying the computational methods in the different groups of pathology encountered in the pre- and neo-natal periods.
Imaging in medicine 12/2012; 4(6):613-632. DOI:10.2217/iim.12.59
[Show abstract][Hide abstract] ABSTRACT: Focal cortical dysplasia (FCD), dysembryoplastic neuroepithelial tumors (DNTs), and gangliogliomas (GGs) share many clinical features, and the presurgical differential diagnosis of these lesions using conventional magnetic resonance imaging (MRI) is challenging in some cases. The purpose of this work was thus to evaluate the capacity of diffusion-weighted imaging (DWI) and proton magnetic resonance spectroscopy (MRS) to distinguish each lesion from the others.
Seventeen children (mean age 9.0 ± 4.7 years), who had been referred for epilepsy associated with a brain tumor and operated, were selected. Preoperative MRI examinations were performed on a 1.5 T system and included anatomical images [T2-weighted, fluid-attenuated inversion recovery (FLAIR) and T1 pre- and post-injection images] as well as DWI and MRS [echo time (TE) = 30 and 135 ms]. Apparent diffusion coefficient (ADC) values were calculated in the lesion and healthy control. MRS relative quantification consisted in normalizing each metabolite by the sum (S) of all metabolites (S(TE=135 ms) = NAA+Cr+Cho; S(TE=30 ms) = NAA+Cr+Cho+Glx+mI). Univariate and multivariate analyses were performed in order to determine which criteria could differentiate the different epileptogenic brain lesions.
When taken alone, none of the MRI parameters was able to distinguish each disease from the others. Conventional MRI failed classifying two patients. When adding ADC to the linear discriminant analysis (LDA), one patient was still misclassified. Complete separation of the three groups was possible when combining conventional MRI, diffusion, and MRS either at long or short TE.
This study shows the added-value of multimodal MRI and MRS in the presurgical diagnosis of epileptogenic brain lesions in children.
Child s Nervous System 02/2012; 28(2):273-82. DOI:10.1007/s00381-011-1604-9 · 1.11 Impact Factor