MBIS: multivariate Bayesian image segmentation tool.

We present MBIS (Multivariate Bayesian Image Segmentation tool), a clustering tool based on the mixture of multivariate normal distributions model. MBIS supports multichannel bias field correction based on a B-spline model. A second methodological novelty is the inclusion of graph-cuts optimization for the stationary anisotropic hidden Markov random field model. Along with MBIS, we release an evaluation framework that contains three different experiments on multi-site data. We first validate the accuracy of segmentation and the estimated bias field for each channel. MBIS outperforms a widely used segmentation tool in a cross-comparison evaluation. The second experiment demonstrates the robustness of results on atlas-free segmentation of two image sets from scan-rescan protocols on 21 healthy subjects. Multivariate segmentation is more replicable than the monospectral counterpart on T1-weighted images. Finally, we provide a third experiment to illustrate how MBIS can be used in a large-scale study of tissue volume change with increasing age in 584 healthy subjects. This last result is meaningful as multivariate segmentation performs robustly without the need for prior knowledge.

Toxic substances in blood: an analysis of current recommendations under a Bayesian (decision) approach

This article extends existing discussion in literature on probabilistic inference and decision making with respect to continuous hypotheses that are prevalent in forensic toxicology. As a main aim, this research investigates the properties of a widely followed approach for quantifying the level of toxic substances in blood samples, and to compare this procedure with a Bayesian probabilistic approach. As an example, attention is confined to the presence of toxic substances, such as THC, in blood from car drivers. In this context, the interpretation of results from laboratory analyses needs to take into account legal requirements for establishing the 'presence' of target substances in blood. In a first part, the performance of the proposed Bayesian model for the estimation of an unknown parameter (here, the amount of a toxic substance) is illustrated and compared with the currently used method. The model is then used in a second part to approach-in a rational way-the decision component of the problem, that is judicial questions of the kind 'Is the quantity of THC measured in the blood over the legal threshold of 1.5 μg/l?'. This is pointed out through a practical example.

Nation-wide survey on radiation doses in diagnostic and interventional radiology in Switzerland in 1998.

A nation-wide survey on radiation doses in diagnostic and interventional radiology was conducted in Switzerland in 1998 aiming at establishing their collective radiological impact on the Swiss population. The study consisted on the one hand of surveying the frequency of more than 250 types of examinations, covering conventional radiology, mammography, fluoroscopy, angiography, interventional radiology, CT, bone densitometry, conventional tomography and dental radiology. On the other hand, for each type of examination the associated patient dose was established by modeling. The results of this study show that about 9.5 million diagnostic and interventional examinations are performed annually in Switzerland (1.34 per caput) and that the associated annual collective dose is of the order of 7100 person.Sv (1.0 mSv per caput). Switzerland is similar to other European countries in terms of the frequency of examinations and the collective dose.

Integration of local-scale hydrological and regional-scale geophysical based on a nonlinear Bayesian sequential simulation approach

Significant progress has been made with regard to the quantitative integration of geophysical and hydrological data at the local scale. However, extending the corresponding approaches to the regional scale represents a major, and as-of-yet largely unresolved, challenge. To address this problem, we have developed a downscaling procedure based on a non-linear Bayesian sequential simulation approach. The basic objective of this algorithm is to estimate the value of the sparsely sampled hydraulic conductivity at non-sampled locations based on its relation to the electrical conductivity, which is available throughout the model space. The in situ relationship between the hydraulic and electrical conductivities is described through a non-parametric multivariate kernel density function. This method is then applied to the stochastic integration of low-resolution, re- gional-scale electrical resistivity tomography (ERT) data in combination with high-resolution, local-scale downhole measurements of the hydraulic and electrical conductivities. Finally, the overall viability of this downscaling approach is tested and verified by performing and comparing flow and transport simulation through the original and the downscaled hydraulic conductivity fields. Our results indicate that the proposed procedure does indeed allow for obtaining remarkably faithful estimates of the regional-scale hydraulic conductivity structure and correspondingly reliable predictions of the transport characteristics over relatively long distances.

Diagnostic et prise en charge des douleurs de la région scapulaire [Diagnosis and treatments of scapular pain].

Shoulder pain is one of the most common reasons for bone and joint consultations in general practice. In most situations, it is due to a lesion of the rotator cuff. A detailed history can often exclude a cervical or visceral origin of the pain. A full clinical examination especially active and passive mobility provides a good diagnostic approach. It can be refined by specific clinical tests that must nevertheless be interpreted with caution. The management of pathologies of the rotator cuff does not require imaging immediately. Ultrasound is increasingly recognized as the imaging procedure of choice in most situations. For abarticular shoulder pathologies, therapy is primarily conservative. The exact role of infiltration of steroids remains unclear. Only an acute traumatic rupture of the rotator cuff warrants prompt surgical intervention.

Evaluation of the specific IgG- and IgA-antibody response against immundominant Aspergillus fumigatus antigens as diagnostic markers of invasive aspergillosis

An improvement in the serological diagnostic toolbox of invasive aspergillosis (IA) is necessary. So far, most laboratories do not perform antibody detection assays at all to diagnose IA, as commercial test systems are based on crude and undefined antigen mixtures of A. fumigatus. Utilizing the A. fumigatus protein mitogillin, we could demonstrate that the use of selected characterized immunodominant antigens can improve the serodiagnosis of Aspergillus-related diseases. In an animal model we were able to identify additional 36 immunodominant antigens of a cDNA library of A. fumigatus germlings. Five selected antigens were expressed recombinantly in E. coli, purified and used for Westernblot und ELISA analyses to study the kinetics of the specific antibody response in rabbits that were infected systemically with A. fumigatus. Subsequently, the specific IgG- and IgA-antibody responses against these antigens were studied in patients suffering from proven IA and compared to healthy blood donors and patients with other forms of pneumonia. Furthermore, we examined how total IgG- and IgA-levels influence the diagnostic value of antibody detection in IA patients.

Implementing statistical learning methods through Bayesian networks. Part 1: a guide to Bayesian parameter estimation using forensic science data

As a thorough aggregation of probability and graph theory, Bayesian networks currently enjoy widespread interest as a means for studying factors that affect the coherent evaluation of scientific evidence in forensic science. Paper I of this series of papers intends to contribute to the discussion of Bayesian networks as a framework that is helpful for both illustrating and implementing statistical procedures that are commonly employed for the study of uncertainties (e.g. the estimation of unknown quantities). While the respective statistical procedures are widely described in literature, the primary aim of this paper is to offer an essentially non-technical introduction on how interested readers may use these analytical approaches - with the help of Bayesian networks - for processing their own forensic science data. Attention is mainly drawn to the structure and underlying rationale of a series of basic and context-independent network fragments that users may incorporate as building blocs while constructing larger inference models. As an example of how this may be done, the proposed concepts will be used in a second paper (Part II) for specifying graphical probability networks whose purpose is to assist forensic scientists in the evaluation of scientific evidence encountered in the context of forensic document examination (i.e. results of the analysis of black toners present on printed or copied documents).

Approche diagnostique de l'hyponatrémie [Hyponatremia: diagnostic approach].

Hyponatremia is the most common electrolyte disorder in hospitalized patients and may be associated with non negligible morbidity and mortality. Here we summerize its diagnostic approach based on the physiopathology. Assessment of volume status, measurement of plasma and urinary osmolality remain key steps in the management of this electrolyte disorder.

Utilité du dosage de la CRP dans le diagnostic, le pronostic et le suivi de la pneumonie acquise dans la communauté [Role of C-reactive protein in the diagnosis, prognosis and follow-up of community-acquired pneumonia].

Community-acquired pneumonia (CAP) is a major clinical problem in terms of morbidity, mortality, and use of hospital resources. It is well recognized that a delay in making the diagnosis and instituting appropriate antibiotic treatment is associated with an increased mortality. C-reactive protein may be helpful in the management of patients with CAP. CRP is widely used in the management of CAP, including diagnosis, prognosis and follow-up. But its usefulness is not known. The aim of this systematic review was to evaluate the usefulness of CRP in the diagnosis, prognosis and follow-up of CAP.