Video-assisted right supradiaphragmatic thoracic duct ligation for non traumatic recurrent chylothorax

Introduction : Un chylothorax est une pathologie comprenant des manifestations respiratoires, nutritionnelles et immunologiques. La récidive du chylothorax ou l'échec du traitement conservateur imposent un traitement chirurgical. Ce travail rapporte notre expérience de ligature supra-diaphragmatique, vidéo-assistée du canal thoracique, pour chylothorax récurrent non traumatique. Patients et méthodes : Entre 1999 et 2004, nous avons recensé six observations (quatre du côté droit, un du côté gauche et un bilateral) Le chylothorax s'est développé chez trois patients traités par radio et chimiothérapie pour tumeur (deux lymphomes et une tumeur du sein) un dans le contexte d'une lymphangioléiomatose et un après greffe cardiaque. Résultats : Les patients ont bénéficié sous anesthésie générale, d'une ligature du canal thoracique supra-diaphragmatique, vidéo-assistée. Le temps opératoire moyen a été de 102 minutes. Le chylothorax a régressé chez cinq des six patients en sept jours. Un patient a été repris par thoracotomie droite au huitième jour pour chylothorax persistant. Dans la phase post-opératoire, un patient a développé une détresse respiratoire nécessitant une ventilation mécanique. Un autre patient a présenté un chylopéritoine important traité par un stent de Le Veen®. Le séjour moyen a été de quatorze jours sans mortalité péri-opératoire. Conclusion : Le traitement du chylothorax non traumatique récurrent est, en première intention, un traitement médical. En cas de récidive ou d'échec du traitement conservateur, le traitement chirurgical par ligature du canal thoracique supra- diaphragmatique, vidéo-assistée, permet de traiter avec succès le chylothorax récurrent non traumatique. -- Background: Chylothorax is an uncommon disorder with respiratory, nutritional and immunological manifestations. Surgical management is indicated in case of recurrence or failure after conservative treatment. We report our experience with video-assisted right-sided supradiaphrag¬matic thoracic duct ligation for non-traumatic, non-postoperative persistent or recurrent chylothorax. Patients and methods: The medical records of six patients operated at our institution between 1999 and 2004 were retrospectively reviewed. A right-sided chylothorax was found in four patients, a left-sided in one, and a bilateral in one. Three patients developed chylothorax after chemotherapy and chest irradiation for malignant diseases (lymphoma in two patients and breast cancer in one), one in the context of lymphangioleiomyomatosis, one due to a non-diagnosed lymphoma, and one after heart transplantation. Results: The mean operative time was 102 min, with an average length of hospital stay of 14 days. Persistent cessation of chylous effusion within 7 days after surgery was observed in 5/6 patients without recurrence during a mean follow-up time of 41 months. One patient with undiagnosed mediastinal lymphoma required re-operation and thoracic duct ligation on day 8 by right-sided thoracotomy due to persistent chylothorax. No 30-day mortality was recorded. Two patients presented postoperative complications including respiratory insufficiency requiring mechanical ventilation in one, and chylous ascites development requiring peritoneo-venous LeVeen shunting in one patient. Conclusions: Recurrent or persistent non-traumatic chylothorax may be successfully treated by video-assisted right supradiaphragmatic thoracic duct ligation.

Disseny i control d'un robot equilibrista sobre dues rodes

Dissenyar un robot equilibrista i construir-lo. A més implementar les funcions per poder fer que s'aguanti dret. El robot ens permetrà transportar documents i ens detectarà obstacles mentres fa el transport. Estarà controlat per una aplicació java construida especialment per poder fer el control per bluetooth i també podrem monitoritzar informació i fer canvis en la configuració.

Electrically assisted ocular gene therapy.

Electrotransfer and iontophoresis are being developed as innovative non-viral gene delivery systems for the treatment of eye diseases. These two techniques rely on the use of electric current to allow for higher transfection yield of various ocular cell types in vivo. Short pulses of relatively high-intensity electric fields are used for electrotransfer delivery, whereas the iontophoresis technique is based on the application of low voltage electric current. The basic principles of these techniques and their potential therapeutic application for diseases of the anterior and posterior segments of the eye are reviewed. Iontophoresis has been found most efficient for the delivery of small nucleic acid fragments such as antisense oligonucleotides, siRNA, or ribozymes. Electrotransfer, on the other hand, is being developed for the delivery of oligonucleotides or custom designed plasmids. The wide range of strategies already validated and the potential for targeting specific types of cells confirm the promising early observations made using electrotransfer and iontophoresis. These two nonviral delivery systems are safe and can be used efficiently for targeted gene delivery to ocular tissues in vivo. At the present, their application for the treatment of ocular human diseases is nearing its final stages of adaptation and practical implementation at the bedside.

Dense deformation field estimation for atlas-based segmentation of pathological MR brain images.

Atlas registration is a recognized paradigm for the automatic segmentation of normal MR brain images. Unfortunately, atlas-based segmentation has been of limited use in presence of large space-occupying lesions. In fact, brain deformations induced by such lesions are added to normal anatomical variability and they may dramatically shift and deform anatomically or functionally important brain structures. In this work, we chose to focus on the problem of inter-subject registration of MR images with large tumors, inducing a significant shift of surrounding anatomical structures. First, a brief survey of the existing methods that have been proposed to deal with this problem is presented. This introduces the discussion about the requirements and desirable properties that we consider necessary to be fulfilled by a registration method in this context: To have a dense and smooth deformation field and a model of lesion growth, to model different deformability for some structures, to introduce more prior knowledge, and to use voxel-based features with a similarity measure robust to intensity differences. In a second part of this work, we propose a new approach that overcomes some of the main limitations of the existing techniques while complying with most of the desired requirements above. Our algorithm combines the mathematical framework for computing a variational flow proposed by Hermosillo et al. [G. Hermosillo, C. Chefd'Hotel, O. Faugeras, A variational approach to multi-modal image matching, Tech. Rep., INRIA (February 2001).] with the radial lesion growth pattern presented by Bach et al. [M. Bach Cuadra, C. Pollo, A. Bardera, O. Cuisenaire, J.-G. Villemure, J.-Ph. Thiran, Atlas-based segmentation of pathological MR brain images using a model of lesion growth, IEEE Trans. Med. Imag. 23 (10) (2004) 1301-1314.]. Results on patients with a meningioma are visually assessed and compared to those obtained with the most similar method from the state-of-the-art.

Learning and adaptation in physical heterogeneous teams of robots

In this paper we present a novel approach to assigning roles to robots in a team of physical heterogeneous robots. Its members compete for these roles and get rewards for them. The rewards are used to determine each agent’s preferences and which agents are better adapted to the environment. These aspects are included in the decision making process. Agent interactions are modelled using the concept of an ecosystem in which each robot is a species, resulting in emergent behaviour of the whole set of agents. One of the most important features of this approach is its high adaptability. Unlike some other learning techniques, this approach does not need to start a whole exploitation process when the environment changes. All this is exemplified by means of experiments run on a simulator. In addition, the algorithm developed was applied as applied to several teams of robots in order to analyse the impact of heterogeneity in these systems

An Efficient Nominal Unification Algorithm

Nominal Unification is an extension of first-order unification where terms can contain binders and unification is performed modulo α equivalence. Here we prove that the existence of nominal unifiers can be decided in quadratic time. First, we linearly-reduce nominal unification problems to a sequence of freshness and equalities between atoms, modulo a permutation, using ideas as Paterson and Wegman for first-order unification. Second, we prove that solvability of these reduced problems may be checked in quadràtic time. Finally, we point out how using ideas of Brown and Tarjan for unbalanced merging, we could solve these reduced problems more efficiently

The response of a Swiss university hospital's palliative care consult team to assisted suicide within the institution.

In January 2006 the Centre Hospitalier Universitaire Vaudois (CHUV), a large university hospital in Lausanne, Switzerland, became the first hospital in Switzerland to allow assisted suicide (AS) in exceptional cases within its walls. However, euthanasia is illegal. This decision has posed several ethical and practical dilemmas for the hospital's palliative care consult service. To address these, the team embarked on a formal process of open dialogue amongst its members with the goal of identifying a collective response and position. This process involved meetings every 4 to 6 weeks over the course of 10 months. An iterative process unfolded. One of the principal dilemmas relates to finding a balance between the team's position against AS and the patient's autonomy and the institution's directive. Although all team members expressed opposition to AS, there were mixed opinions as to whether or not the team members should be present during the act if requested so by patients. Some thought this could be misinterpreted as complicity in the act and could send out mixed messages to the public and other health professionals about palliative care. Others felt that the team's commitment to nonabandonment obliged them to be present even if they did not provide the drug or give any advice or assistance. The implications of nonabandonment are explored, as are several other questions such as whether or not the teams are obliged to provide detailed information on AS when requested by patients.

Matrix-assisted laser desorption ionization time-of-flight mass spectrometry, a revolution in clinical microbial identification.

Until recently, matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-TOF MS) techniques for the identification of microorganisms remained confined to research laboratories. In the last 2 years, the availability of relatively simple to use MALDI-TOF MS devices, which can be utilized in clinical microbiology laboratories, has changed the laboratory workflows for the identification of pathogens. Recently, the first prospective studies regarding the performance in routine bacterial identification showed that MALDI-TOF MS is a fast, reliable and cost-effective technique that has the potential to replace and/or complement conventional phenotypic identification for most bacterial strains isolated in clinical microbiology laboratories. For routine bacterial isolates, correct identification by MALDI-TOF MS at the species level was obtained in 84.1-93.6% of instances. In one of these studies, a protein extraction step clearly improved the overall valid identification yield, from 70.3% to 93.2%. This review focuses on the current state of use of MALDI-TOF MS for the identification of routine bacterial isolates and on the main difficulties that may lead to erroneous or doubtful identifications.

Validation of a clinical algorithm to identify low-risk patients with pulmonary embolism.

Summary Background: We previously derived a clinical prognostic algorithm to identify patients with pulmonary embolism (PE) who are at low-risk of short-term mortality who could be safely discharged early or treated entirely in an outpatient setting. Objectives: To externally validate the clinical prognostic algorithm in an independent patient sample. Methods: We validated the algorithm in 983 consecutive patients prospectively diagnosed with PE at an emergency department of a university hospital. Patients with none of the algorithm's 10 prognostic variables (age >/= 70 years, cancer, heart failure, chronic lung disease, chronic renal disease, cerebrovascular disease, pulse >/= 110/min., systolic blood pressure < 100 mm Hg, oxygen saturation < 90%, and altered mental status) at baseline were defined as low-risk. We compared 30-day overall mortality among low-risk patients based on the algorithm between the validation and the original derivation sample. We also assessed the rate of PE-related and bleeding-related mortality among low-risk patients. Results: Overall, the algorithm classified 16.3% of patients with PE as low-risk. Mortality at 30 days was 1.9% among low-risk patients and did not differ between the validation and the original derivation sample. Among low-risk patients, only 0.6% died from definite or possible PE, and 0% died from bleeding. Conclusions: This study validates an easy-to-use, clinical prognostic algorithm for PE that accurately identifies patients with PE who are at low-risk of short-term mortality. Low-risk patients based on our algorithm are potential candidates for less costly outpatient treatment.

A fast Bayesian reconstruction algorithm for emission tomography with entropy prior converging to feasible images

The development and tests of an iterative reconstruction algorithm for emission tomography based on Bayesian statistical concepts are described. The algorithm uses the entropy of the generated image as a prior distribution, can be accelerated by the choice of an exponent, and converges uniformly to feasible images by the choice of one adjustable parameter. A feasible image has been defined as one that is consistent with the initial data (i.e. it is an image that, if truly a source of radiation in a patient, could have generated the initial data by the Poisson process that governs radioactive disintegration). The fundamental ideas of Bayesian reconstruction are discussed, along with the use of an entropy prior with an adjustable contrast parameter, the use of likelihood with data increment parameters as conditional probability, and the development of the new fast maximum a posteriori with entropy (FMAPE) Algorithm by the successive substitution method. It is shown that in the maximum likelihood estimator (MLE) and FMAPE algorithms, the only correct choice of initial image for the iterative procedure in the absence of a priori knowledge about the image configuration is a uniform field.

Désir de grossesse après vasectomie: vasovasostomie ou procréation médicalement assistée [New child wish after vasectomy: vasovasostomy or assisted reproductive medicine?].

New child wish after vasectomy: vasovasostomy or assisted reproductive medicine? In the case of a new child wish after vasectomy, there are two options: vaso-vasostomy (VV) or biopsy of the testicle associated with intra-cytoplasmatic sperm injection (ICSI). Both methods are not reimbursed. The VV offers a cumulative pregnancy rate of 28-40%, depending on pre-, intra- and postoperative factors. The age of the female partner and the time after vasectomy are the most important factors. Pregnancy rates after ICSI are 29-41% per transfer. Cumulative pregnancy rates vary between 60-80%. Malformation rates after ICSI in this special collective are not investigated yet, the "general" ICSI-collective differs completely compared to the a priori fertile couples after vasectomy. Couples have to inform themselves about the experience of the doctors and their rate of success in order to minimize the risk of failure.

Chest pulse-wave velocity: a novel approach to assess arterial stiffness.

Pulse-wave velocity (PWV) is considered as the gold-standard method to assess arterial stiffness, an independent predictor of cardiovascular morbidity and mortality. Current available devices that measure PWV need to be operated by skilled medical staff, thus, reducing the potential use of PWV in the ambulatory setting. In this paper, we present a new technique allowing continuous, unsupervised measurements of pulse transit times (PTT) in central arteries by means of a chest sensor. This technique relies on measuring the propagation time of pressure pulses from their genesis in the left ventricle to their later arrival at the cutaneous vasculature on the sternum. Combined thoracic impedance cardiography and phonocardiography are used to detect the opening of the aortic valve, from which a pre-ejection period (PEP) value is estimated. Multichannel reflective photoplethysmography at the sternum is used to detect the distal pulse-arrival time (PAT). A PTT value is then calculated as PTT = PAT - PEP. After optimizing the parameters of the chest PTT calculation algorithm on a nine-subject cohort, a prospective validation study involving 31 normo- and hypertensive subjects was performed. 1/chest PTT correlated very well with the COMPLIOR carotid to femoral PWV (r = 0.88, p < 10 (-9)). Finally, an empirical method to map chest PTT values onto chest PWV values is explored.

Three-dimensional ordered-subset expectation maximization iterative protocol for evaluation of left ventricular volumes and function by quantitative gated SPECT: a dynamic phantom study.

The purposes of this study were to characterize the performance of a 3-dimensional (3D) ordered-subset expectation maximization (OSEM) algorithm in the quantification of left ventricular (LV) function with (99m)Tc-labeled agent gated SPECT (G-SPECT), the QGS program, and a beating-heart phantom and to optimize the reconstruction parameters for clinical applications. METHODS: A G-SPECT image of a dynamic heart phantom simulating the beating left ventricle was acquired. The exact volumes of the phantom were known and were as follows: end-diastolic volume (EDV) of 112 mL, end-systolic volume (ESV) of 37 mL, and stroke volume (SV) of 75 mL; these volumes produced an LV ejection fraction (LVEF) of 67%. Tomographic reconstructions were obtained after 10-20 iterations (I) with 4, 8, and 16 subsets (S) at full width at half maximum (FWHM) gaussian postprocessing filter cutoff values of 8-15 mm. The QGS program was used for quantitative measurements. RESULTS: Measured values ranged from 72 to 92 mL for EDV, from 18 to 32 mL for ESV, and from 54 to 63 mL for SV, and the calculated LVEF ranged from 65% to 76%. Overall, the combination of 10 I, 8 S, and a cutoff filter value of 10 mm produced the most accurate results. The plot of the measures with respect to the expectation maximization-equivalent iterations (I x S product) revealed a bell-shaped curve for the LV volumes and a reverse distribution for the LVEF, with the best results in the intermediate range. In particular, FWHM cutoff values exceeding 10 mm affected the estimation of the LV volumes. CONCLUSION: The QGS program is able to correctly calculate the LVEF when used in association with an optimized 3D OSEM algorithm (8 S, 10 I, and FWHM of 10 mm) but underestimates the LV volumes. However, various combinations of technical parameters, including a limited range of I and S (80-160 expectation maximization-equivalent iterations) and low cutoff values (< or =10 mm) for the gaussian postprocessing filter, produced results with similar accuracies and without clinically relevant differences in the LV volumes and the estimated LVEF.