Post-traumatic overload or acute syndrome of the os trigonum: a possible cause of posterior ankle impingement.

The purpose of this paper is to discuss the post-traumatic overload syndrome of the os trigonum as a possible cause of posterior ankle impingement and hindfoot pain. We have reviewed 19 athletes who were referred to our foot unit between 1995 and 2001 because of posterior ankle pain, and in whom a post-traumatic overload syndrome of os trigonum was diagnosed. All these patients were followed up over a period of 2 years. In 11 cases a chronic repetitive movements in forced plantar flexion was found. In the other eight cases the pain appeared to persist after a standard treatment of an ankle sprain in inversion plantar flexion. The diagnosis was based on clinical history, physical examination and X-rays that revealed a non-fused os trigonum. The confirmation of diagnosis was carried-out injecting local anaesthetic under fluoroscopic control. In all cases a corticosteroid injection as first line treatment was performed. In 6 cases a second injection was necessary to alleviate pain because incomplete recovery with the first injection. Three cases (16%) were recalcitrant to this treatment and in these three cases a surgical excision of the os trigonum was carried out. Our conclusion is that after some chronic athletic activity or an acute ankle sprain the os trigonum, if present, may undergo mechanical overload, remain undisrupted and become painful. Treatment by corticosteroid injection often resolves the problem.

Study of OSEM with different subsets in grating-based X-ray differential phase-contrast imaging.

Impressive developments in X-ray imaging are associated with X-ray phase contrast computed tomography based on grating interferometry, a technique that provides increased contrast compared with conventional absorption-based imaging. A new "single-step" method capable of separating phase information from other contributions has been recently proposed. This approach not only simplifies data-acquisition procedures, but, compared with the existing phase step approach, significantly reduces the dose delivered to a sample. However, the image reconstruction procedure is more demanding than for traditional methods and new algorithms have to be developed to take advantage of the "single-step" method. In the work discussed in this paper, a fast iterative image reconstruction method named OSEM (ordered subsets expectation maximization) was applied to experimental data to evaluate its performance and range of applicability. The OSEM algorithm with different subsets was also characterized by comparison of reconstruction image quality and convergence speed. Computer simulations and experimental results confirm the reliability of this new algorithm for phase-contrast computed tomography applications. Compared with the traditional filtered back projection algorithm, in particular in the presence of a noisy acquisition, it furnishes better images at a higher spatial resolution and with lower noise. We emphasize that the method is highly compatible with future X-ray phase contrast imaging clinical applications.

Pharmacogenetic Study on Antidementia Drugs

Differences in efficacy and safety of drugs among patients are a recognized problem in pharmacotherapy. The reasons are multifactorial and, therefore, the choice of a drug and its dosage for a particular patient based on different clinical and genetic factors is suggested to improve the clinical outcome. Four drugs are currently used for the treatment of Alzheimer's disease: three acetylcholinesterase inhibitors (donepezil, galantamine, rivastigmine) and the N-methyl-D-aspartate-antagonist memantine. For these drugs, a high interindividual variability in plasma levels was observed, which might influence the response to treatment. The main objective of this thesis was to provide a better understanding of clinical and genetic factors affecting the plasma levels of antidementia drugs. Furthermore, the relationship between plasma levels, genetic variations and side effects was assessed. For this purpose, a pharmacogenetic study was conducted including 300 patients from a naturalistic clinical setting. Analytical methods for the simultaneous measurement of antidementia drugs in plasma have been developed and validated using liquid chromatography methods coupled with mass spectrometry detection. Presently, these methods are used in the therapeutic drug monitoring service of our laboratory. The routine use of therapeutic drug monitoring for antidementia drugs cannot yet be recommended with the available data, but it may be beneficial for some patients in special clinical cases such as insufficient treatment response, side effects or drug interactions. Donepezil and galantamine are extensively metabolized by the liver enzymes cytochromes P450 (CYP) 2D6 and 3A and are substrates of the drug transporter P-glycoprotein. The relationship of variations in genes affecting the activity of these metabolic enzymes and drug transporter (CYP2D6, CYP3A, POR, NR1I2, ABCB1) with donepezil and galantamine plasma levels was investigated. The CYP2D6 genotype appeared to be the major genetic factor involved in the pharmacokinetics of these two drugs. Thus, CYP2D6 poor metabolizers demonstrated significantly higher drug plasma levels than extensive metabolizers. Additionally, in the donepezil study population, the frequency of side effects was significantly increased in poor metabolizers. Lower donepezil plasma levels were observed in ultra rapid metabolizers, which might expose those patients to the risk of non-response. Memantine is mainly eliminated unchanged by the kidney, with implication of tubular secretion by renal transporters. A population pharmacokinetic model was developed to quantify the effects of clinical factors and genetic variations in renal cation transporters (SLC22A1/2/5, SLC47A1, ABCB1), and nuclear receptors (NR1I2, NR1I3, PPARG) involved in transporter expression, on memantine plasma levels. In addition to the renal function and gender, a genetic variation in the nuclear receptor Pregnane-X-Receptor (NR1I2) significantly affected memantine elimination. These findings suggest that an individualized therapy approach for antidementia drugs, taking into account clinical characteristics and genetic background of a patient, might increase efficacy and safety of the treatment. - Les différences interindividuelles dans l'efficacité et la tolérance des médicaments sont un problème connu en pharmacothérapie. Les raisons sont multiples, et le choix du médicament et de la dose, basé sur des facteurs cliniques et génétiques spécifiques au patient, peut contribuer à améliorer la réponse clinique. Quatre médicaments sont couramment utilisés dans le traitement de la maladie d'Alzheimer : trois inhibiteurs de l'acétylcholinestérase (donépézil, galantamine, rivastigmine) et un antagoniste du récepteur N-méthyl-D-aspartate, la mémantine. Une forte variabilité interindividuelle dans les taux plasmatiques de ces quatre composés a été observée, ce qui pourrait influencer la réponse au traitement. L'objectif principal de ce travail de thèse est de mieux comprendre les facteurs cliniques et génétiques influençant les taux des médicaments pro-cognitifs. En outre, des associations entre les taux, la variabilité génétique et les effets secondaires ont été recherchées. Dans ce but, 300 patients sous traitement avec un médicament pro-cognitif ont été recrutés pour une étude pharmacogénétique. Des méthodes de dosage simultané de médicaments pro-cognitifs par chromatographie liquide couplée à la spectrométrie de masse ont été développées et validées. Ces méthodes sont actuellement utilisées dans le service de suivi thérapeutique de notre unité. Malgré le fait qu'un suivi des taux sanguins des pro-cognitifs ne puisse pas encore être recommandé en routine, un dosage peut être utile dans des cas cliniques spécifiques, comme une réponse insuffisante, une intolérance ou une interaction médicamenteuse. Le donépézil et la galantamine sont fortement métabolisés par les cytochromes P450 (CYP) 2D6 et 3A, et sont également substrats du transporteur P-glycoprotéine. Les associations entre les polymorphismes génétiques de ces enzymes, cofacteur, récepteur nucléaire et transporteur (CYP2D6, CYP3A, POR, NR1I2, ABCB1) et les taux de donépézil et de galantamine ont été étudiées. Le génotype du CYP2D6 a été montré comme le facteur génétique majeur impliqué dans la pharmacocinétique de ces deux médicaments. Ainsi, les métaboliseurs déficients du CYP2D6 ont démontré des taux plasmatiques significativement plus élevés comparé aux bons métaboliseurs. De plus, dans la population traitée avec le donépézil, la fréquence des effets secondaires était plus élevée chez les métaboliseurs déficients. Des taux plasmatiques bas ont été mesurés chez les métaboliseurs ultra-rapides traités avec le donépézil, ce qui pourrait être un facteur de risque à une non-réponse au traitement. La mémantine est principalement éliminée sous forme inchangée par les reins, et partiellement par sécrétion tubulaire grâce à des transporteurs rénaux. Un modèle de cinétique de population a été développé pour quantifier les effets des différents facteurs cliniques et de la variabilité génétique des transporteurs rénaux (SLC22A1/2/5, SLC47A1, ABCB1) et des récepteurs nucléaires (NR1I2, NR1I3, PPARG, impliqués dans l'expression des transporteurs) sur les taux plasmatiques de mémantine. En plus de la fonction rénale et du genre, une variation génétique dans le récepteur nucléaire Pregnane-X-Receptor (NR1I2) a montré une influence significative sur l'élimination de la mémantine. Ces résultats suggèrent qu'une approche thérapeutique individualisée, prenant en compte des facteurs cliniques et génétiques du patient, pourrait améliorer l'efficacité et la sécurité du traitement pro-cognitif.

Bayesian Networks and the Value of the Evidence for the Forensic Two-Trace Transfer Problem

Forensic scientists face increasingly complex inference problems for evaluating likelihood ratios (LRs) for an appropriate pair of propositions. Up to now, scientists and statisticians have derived LR formulae using an algebraic approach. However, this approach reaches its limits when addressing cases with an increasing number of variables and dependence relationships between these variables. In this study, we suggest using a graphical approach, based on the construction of Bayesian networks (BNs). We first construct a BN that captures the problem, and then deduce the expression for calculating the LR from this model to compare it with existing LR formulae. We illustrate this idea by applying it to the evaluation of an activity level LR in the context of the two-trace transfer problem. Our approach allows us to relax assumptions made in previous LR developments, produce a new LR formula for the two-trace transfer problem and generalize this scenario to n traces.

Fast Bias Field Correction for 9.4 Tesla Magnetic Resonance Imaging

In this paper the problem of intensity inhomogeneity athigh magnetic field on magnetic resonance images isaddressed. Specifically, rat brain images at 9.4Tacquired with a surface coil are bias corrected. Wepropose a low- pass frequency model that takes intoaccount not only background-object contours but alsoother important contours inside the image. Twopre-processing filters are proposed: first, to create avolume of interest without contours, and second, toextrapolate the image values of such masked area to thewhole image. Results are assessed quantitatively andvisually in comparison to standard low pass filterapproach, and they show as expected better accuracy inenhancing image intensity.

Body composition by X-ray absorptiometry and bioelectrical impedance in chronic respiratory insufficiency patients.

Nutrition assessment is important during chronic respiratory insufficiency to evaluate the level of malnutrition or obesity and should include body composition measurements. The appreciation of fat-free and fat reserves in patients with chronic respiratory insufficiency can aid in designing an adapted nutritional support, e.g., nutritional support in malnutrition and food restriction in obesity. The purpose of the present study was to cross-validate fat-free and fat mass obtained by various bioelectric impedance (BIA) formulas with the fat-free and fat mass measured by dual-energy X-ray absorptiometry (DXA) and determine the formulas that are best suited to predict the fat-free and fat mass for a group of patients with severe chronic respiratory insufficiency. Seventy-five patients (15 women and 60 men) with chronic obstructive and restrictive respiratory insufficiency aged 45-86 y were included in this study. Body composition was calculated according to 13 different BIA formulas for women and 12 for men and compared with DXA. Because of the variability, calculated as 2 standard deviations, of +/- 5.0 kg fat-free mass for women and +/- 6.4 kg for men for the best predictive formula, the use of the various existing BIA formulas was considered not clinically relevant. Therefore disease-specific formulas for patients with chronic respiratory insufficiency should be developed to improve the prediction of fat-free and fat mass by BIA in these patients.

Bioreporters and biosensors for arsenic detection. Biotechnological solutions for a world-wide pollution problem.

A wide variety of whole cell bioreporter and biosensor assays for arsenic detection has been developed over the past decade. The assays permit flexible detection instrumentation while maintaining excellent method of detection limits in the environmentally relevant range of 10-50 μg arsenite per L and below. New emerging trends focus on genetic rewiring of reporter cells and/or integration into microdevices for more optimal detection. A number of case studies have shown realistic field applicability of bioreporter assays.

Investigation of discrete imaging models and iterative image reconstruction in differential X-ray phase-contrast tomography.

Differential X-ray phase-contrast tomography (DPCT) refers to a class of promising methods for reconstructing the X-ray refractive index distribution of materials that present weak X-ray absorption contrast. The tomographic projection data in DPCT, from which an estimate of the refractive index distribution is reconstructed, correspond to one-dimensional (1D) derivatives of the two-dimensional (2D) Radon transform of the refractive index distribution. There is an important need for the development of iterative image reconstruction methods for DPCT that can yield useful images from few-view projection data, thereby mitigating the long data-acquisition times and large radiation doses associated with use of analytic reconstruction methods. In this work, we analyze the numerical and statistical properties of two classes of discrete imaging models that form the basis for iterative image reconstruction in DPCT. We also investigate the use of one of the models with a modern image reconstruction algorithm for performing few-view image reconstruction of a tissue specimen.

A Monte Carlo approach to the inverse problem of diffuse pollution risk in agricultural catchments

The hydrological and biogeochemical processes that operate in catchments influence the ecological quality of freshwater systems through delivery of fine sediment, nutrients and organic matter. Most models that seek to characterise the delivery of diffuse pollutants from land to water are reductionist. The multitude of processes that are parameterised in such models to ensure generic applicability make them complex and difficult to test on available data. Here, we outline an alternative - data-driven - inverse approach. We apply SCIMAP, a parsimonious risk based model that has an explicit treatment of hydrological connectivity. we take a Bayesian approach to the inverse problem of determining the risk that must be assigned to different land uses in a catchment in order to explain the spatial patterns of measured in-stream nutrient concentrations. We apply the model to identify the key sources of nitrogen (N) and phosphorus (P) diffuse pollution risk in eleven UK catchments covering a range of landscapes. The model results show that: 1) some land use generates a consistently high or low risk of diffuse nutrient pollution; but 2) the risks associated with different land uses vary both between catchments and between nutrients; and 3) that the dominant sources of P and N risk in the catchment are often a function of the spatial configuration of land uses. Taken on a case-by-case basis, this type of inverse approach may be used to help prioritise the focus of interventions to reduce diffuse pollution risk for freshwater ecosystems. (C) 2012 Elsevier B.V. All rights reserved.

An efficient total variation algorithm for super-resolution in fetal brain MRI with adaptive regularization.

Although fetal anatomy can be adequately viewed in new multi-slice MR images, many critical limitations remain for quantitative data analysis. To this end, several research groups have recently developed advanced image processing methods, often denoted by super-resolution (SR) techniques, to reconstruct from a set of clinical low-resolution (LR) images, a high-resolution (HR) motion-free volume. It is usually modeled as an inverse problem where the regularization term plays a central role in the reconstruction quality. Literature has been quite attracted by Total Variation energies because of their ability in edge preserving but only standard explicit steepest gradient techniques have been applied for optimization. In a preliminary work, it has been shown that novel fast convex optimization techniques could be successfully applied to design an efficient Total Variation optimization algorithm for the super-resolution problem. In this work, two major contributions are presented. Firstly, we will briefly review the Bayesian and Variational dual formulations of current state-of-the-art methods dedicated to fetal MRI reconstruction. Secondly, we present an extensive quantitative evaluation of our SR algorithm previously introduced on both simulated fetal and real clinical data (with both normal and pathological subjects). Specifically, we study the robustness of regularization terms in front of residual registration errors and we also present a novel strategy for automatically select the weight of the regularization as regards the data fidelity term. Our results show that our TV implementation is highly robust in front of motion artifacts and that it offers the best trade-off between speed and accuracy for fetal MRI recovery as in comparison with state-of-the art methods.

Short stature and primary ovarian insufficiency possibly due to chromosomal position effect in a balanced X;1 translocation.

BACKGROUND: Primary ovarian insufficiency (POI) is defined as a primary ovarian defect characterized by absent menarche (primary amenorrhea), a decrease in the initial primordial follicle number, high follicle-stimulating hormone (FSH) levels and hypoestrogenism. Although the etiology of a majority of POI cases is not yet identified, several data suggest that POI has a strong genetic component. Conventional cytogenetic and molecular analyses have identified regions of the X chromosome that are associated with ovarian function, as well as POI candidate genes, such as FMR1 and DIAPH2. Here we describe a 10.5-year-old girl presenting with high FSH and luteinizing hormone (LH) levels, pathologic GH stimulation arginine and clonidine tests, short stature, pterygium, ovarian dysgenesis, hirsutism and POI. RESULTS: Cytogenetic analysis demonstrated a balanced reciprocal translocation between the q arms of chromosomes X and 1, with breakpoints falling in Xq21 and 1q41 bands. Molecular studies did not unravel any chromosome microdeletion/microduplication, and no XIST-mediated inactivation was found on the derivative chromosome 1. Interestingly, through immunofluorescence assays, we found that part of the Xq21q22 trait, translocated to chromosome 1q41, was late replicating and therefore possibly inactivated in 30 % metaphases both in lymphocytes and skin fibroblasts, in addition to a skewed 100 % inactivation of the normal X chromosome. These findings suggest that a dysregulation of gene expression might occur in this region. Two genes mapping to the Xq translocated region, namely DIAPH2 and FMR1, were found overexpressed if compared with controls. CONCLUSIONS: We report a case in which gonadal dysgenesis and POI are associated with over-expression of DIAPH2 gene and of FMR1 gene in wild type form. We hypothesize that this over-expression is possibly due to a phenomenon known as "chromosomal position effect", which accounts for gene expression variations depending on their localization within the nucleus. For the same effect a double mosaic inactivation of genes mapping to the Xq21-q22 region, demonstrated by immunofluorescence assays, may be the cause of a functional Xq partial monosomy leading to most Turner traits of the proband's phenotype.