Is ultracision knife safe and efficient for breast capsulectomy? A preliminary study.

BACKGROUND: Silicone breast implants are used to a wide extent in the field of plastic surgery. However, capsular contracture remains a considerable concern. This study aimed to analyze the effectiveness and applicability of an ultracision knife for capsulectomy breast surgery. METHODS: A prospective, single-center, randomized study was performed in 2009. The inclusion criteria specified female patients 20-80 years of age with capsular contracture (Baker 3-4). Ventral capsulectomy was performed using an ultracision knife on one side and the conventional Metzenbaum-type scissors and surgical knife on the collateral side of the breast. Measurements of the resected capsular ventral fragment, operative time, remaining breast tissue, drainage time, seroma and hematoma formation, visual analog scale pain score, and sensory function of the nipple-areola complex were assessed. In addition, histologic analysis of the resected capsule was performed. RESULTS: Five patients (median age, 59.2 years) were included in this study with a mean follow-up period of 6 months. Three patients had Baker grade 3 capsular contracture, and two patients had Baker grade 4 capsular contracture. The ultracision knife was associated with a significantly lower pain score, shorter operative time, smaller drainage volume, and shorter drainage time and resulted in a larger amount of remaining breast tissue. Histologic analysis of the resected capsule showed no apoptotic cells in the study group or control group. CONCLUSIONS: The results suggest that ventral capsulectomy with Baker grade 3 or 4 contracture using the ultracision knife is feasible, safe, and more efficient than blunt dissection and monopolar cutting diathermy and has a short learning curve. LEVEL OF EVIDENCE II: This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors at www.springer.com/00266 .

Immediate hip spica is as effective as, but more efficient than, flexible intramedullary nailing for femoral shaft fractures in pre-school children.

Flexible intramedullary nailing (FIN) is the gold standard treatment for femur fracture in school-aged children. It has been performed successfully in younger children, although Spica cast immobilisation (SCI) has been the most widely used strategy to date. METHOD: A retrospective analysis was performed between two comparable groups of children aged 1-4 years with a femoral shaft fracture. Two University hospitals, each using specific treatment guidelines, participated in the study: SCI in Group I (Basel, Switzerland) and FIN in Group II (Lausanne, Switzerland). RESULTS: Group I included 19 children with a median age of 26 months (range 12-46 months). Median hospital stay was 1 day (range 0-5 days) and casts were retained for a median duration of 21 days (range 12-29 days). General anaesthesia was used in six children and sedation in four. Skin breakdown secondary to cast irritation occurred in two children (10.5%). The median follow-up was 114 months (range 37-171 months). No significant malunion was noted. Group II included 27 children with a median age of 38.4 months (range 18.7-46.7 months). Median hospital stay was 4 days (range 1-13 days). All children required general anaesthesia for insertion and removal of the nails. Free mobilisation and full weight bearing were allowed at a median of 2 days (range 1-10 days) and 7 days (range 1-30 days), respectively, postoperatively. Nail exteriorisation was noted in three children (11%). The median follow-up was 16.5 months (range 8-172 months). No significant malunion was reported. CONCLUSIONS: Young children with a femoral shaft fracture treated by SCI or FIN had similarly favourable outcomes and complication rates. FIN allowed earlier mobilisation and full weight bearing. Compared to SCI, a greater number of children required general anaesthesia. In a pre-school child with a femoral shaft fracture, immediate SCI applied by a paediatric orthopaedic team following specific guidelines allowed early discharge from hospital with few complications.

A comparison of the performance of modern screen-film and digital mammography systems.

This work compares the detector performance and image quality of the new Kodak Min-R EV mammography screen-film system with the Fuji CR Profect detector and with other current mammography screen-film systems from Agfa, Fuji and Kodak. Basic image quality parameters (MTF, NPS, NEQ and DQE) were evaluated for a 28 kV Mo/Mo (HVL = 0.646 mm Al) beam using different mAs exposure settings. Compared with other screen-film systems, the new Kodak Min-R EV detector has the highest contrast and a low intrinsic noise level, giving better NEQ and DQE results, especially at high optical density. Thus, the properties of the new mammography film approach those of a fine mammography detector, especially at low frequency range. Screen-film systems provide the best resolution. The presampling MTF of the digital detector has a value of 15% at the Nyquist frequency and, due to the spread size of the laser beam, the use of a smaller pixel size would not permit a significant improvement of the detector resolution. The dual collection reading technology increases significantly the low frequency DQE of the Fuji CR system that can at present compete with the most efficient mammography screen-film systems.

The anti-apoptotic role of PPARbeta contributes to efficient skin wound healing.

PPARalpha and PPARbeta are expressed in the mouse epidermis during fetal development, but their expression progressively disappears after birth. However, the expression of PPARbeta is reactivated in adult mice upon proliferative stimuli, such as cutaneous injury. We show here that PPARbeta protects keratinocytes from growth factor deprivation, anoikis and TNF-alpha-induced apoptosis, by modulating both early and late apoptotic events via the Akt1 signaling pathway and DNA fragmentation, respectively. The control mechanisms involve direct transcriptional upregulation of ILK, PDK1, and ICAD-L. In accordance with the anti-apoptotic role of PPARbeta observed in vitro, the balance between proliferation and apoptosis is altered in the epidermis of wounded PPARbeta mutant mice, with increased keratinocyte proliferation and apoptosis. In addition, primary keratinocytes deleted for PPARbeta show defects in both cell-matrix and cell-cell contacts, and impaired cell migration. Together, these results suggest that the delayed wound closure observed in PPARbeta mutant mice involves the alteration of several key processes. Finally, comparison of PPARbeta and Akt1 knock-out mice reveals many similarities, and suggests that the ability of PPARbeta to modulate the Akt1 pathway has significant impact during skin wound healing.

How can a dual oriT system contribute to efficient transfer of an integrative and conjugative element?

Integrative and conjugative elements (ICEs) are particularly interesting model systems for horizontal gene transfer, because they normally reside in an integrated state in the host chromosome but can excise and self-transfer under particular conditions, typically requiring exquisite regulatory cascades. Despite important advances in our understanding of the transfer mechanisms of a number of ICE, many essential details are lacking. Recently we reported that ICEclc, a 103 kb ICE of Pseudomonas knackmussii B13, has two active origins of transfer (oriTs), which is very much unlike conjugative plasmids that usually employ a single oriT. We discuss here how this dual oriT system could function and how it actually could have presented an evolutionary advantage for ICEclc distribution.

Fast Geodesic Active Fields for Image Registration Based on Splitting and Augmented Lagrangian Approaches.

In this paper, we present an efficient numerical scheme for the recently introduced geodesic active fields (GAF) framework for geometric image registration. This framework considers the registration task as a weighted minimal surface problem. Hence, the data-term and the regularization-term are combined through multiplication in a single, parametrization invariant and geometric cost functional. The multiplicative coupling provides an intrinsic, spatially varying and data-dependent tuning of the regularization strength, and the parametrization invariance allows working with images of nonflat geometry, generally defined on any smoothly parametrizable manifold. The resulting energy-minimizing flow, however, has poor numerical properties. Here, we provide an efficient numerical scheme that uses a splitting approach; data and regularity terms are optimized over two distinct deformation fields that are constrained to be equal via an augmented Lagrangian approach. Our approach is more flexible than standard Gaussian regularization, since one can interpolate freely between isotropic Gaussian and anisotropic TV-like smoothing. In this paper, we compare the geodesic active fields method with the popular Demons method and three more recent state-of-the-art algorithms: NL-optical flow, MRF image registration, and landmark-enhanced large displacement optical flow. Thus, we can show the advantages of the proposed FastGAF method. It compares favorably against Demons, both in terms of registration speed and quality. Over the range of example applications, it also consistently produces results not far from more dedicated state-of-the-art methods, illustrating the flexibility of the proposed framework.

Réplication cérébrale du VIH malgré une thérapie antirétrovirale efficace: impact clinique et prise en charge [Intracerebral HIV replication despite an efficient antiretroviral treatment: clinical impact and management].

Various neurological and neuropsychological manifestations are still relatively frequently reported in HIV infected patients in the highly active antiretroviral therapy era. A fraction of them could be related to HIV replication in the central nervous system (CNS) despite adequate peripheral viral suppression. This hypothesis is supported by numerous reports of detectable HIV RNA in the cerebrospinal fluid in the context of a low or undetectable viremia in association with neurological or neuropsychological complaints. In addition, some antiviral molecules may not achieve adequate levels in the CNS, thus potentially favoring intracerebral HIV replication and even antiretroviral resistance. Neurologic manifestations in the presence of CNS HIV replication often decrease after antiretroviral treatment CNS penetration optimization.

Immediate hip spica is as effective as but more efficient than flexible intramedullary nailing for femoral shaft fractures in preschool children

Résumé¦L'Embrochage Centro-Médullaire Elastique Stable (ECMES) est le traitement de choix des fractures du fémur chez l'enfant en âge scolaire. Il est pratiqué avec succès chez le jeune enfant, alors que l'Immobilisation par Plâtre (IP) était la technique la plus largement utilisée jusque-là.¦Méthode : Une analyse rétrospective comparant deux groupes d'enfants âgés de 1 à 4 ans avec des fractures diaphysaires du fémur a été effectuée. Deux hôpitaux universitaires, utilisant chacun une méthode de traitement spécifique, ont participé à cette étude : l'IP dans le groupe I (Bâle, Suisse) et l'ECMES dans le groupe II (Lausanne, Suisse).¦Résultats : Le groupe I inclue 19 enfants avec un âge médian de 26 mois (12-46 mois). La médiane du séjour hospitalier est de 1 jour (0-5 jours) et le plâtre est laissé en place pour une durée médiane de 21 jours (12-29 jours). Une anesthésie générale a été nécessaire chez 6 enfants et une sédation chez 4. Des lésions cutanées secondaires au plâtre sont apparues chez 2 enfants (10.5%). La médiane de la durée du suivi est de 114 mois (37-171 mois). Aucun défaut de consolidation n'est à déplorer. Le groupe II inclue 27 enfants avec un âge médian de 38.4 mois (18.7-46.7 mois). La médiane du séjour hospitalier est de 4 jours (1-13 jours). Tous les enfants ont nécessité une anesthésie générale pour la mise en place et pour le retrait des broches. La mobilisation et la mise en charge complète du membre ont été permises respectivement à une médiane de 2 jours (1-10 jours) et 7 jours (1-30 jours) postopératoires. Une complication sous la forme d'une extériorisation à la peau d'une broche a été notée chez 3 enfants (11%). La médiane de la durée du suivi et de 16.5 mois (8-172 mois). Aucun défaut de consolidation n'est à déplorer.¦Conclusion : Les jeunes enfants présentant une fracture diaphysaire du fémur, traité pas IP ou ECMES, ont des résultats favorables et des taux de complications similaires. L'ECMES permet une mobilisation et une charge complète sur le membre fracturé plus rapide. Mais comparé à l'IP, l'ECMES requiert un plus grand nombre d'anesthésies générales. Chez un enfant d'âge préscolaire présentant une fracture diaphysaire du fémur, l'application immédiate d'un plâtre par une équipe orthopédique pédiatrique entraînée à la mise en place de plâtre chez l'enfant, permet un retour à domicile rapide et un taux de complication bas.

Development of a dose-controlled multiculture cell exposure chamber for efficient delivery of airborne and engineered nanoparticles

In order to study the various health influencing parameters related to engineered nanoparticles as well as to soot emitted b diesel engines, there is an urgent need for appropriate sampling devices and methods for cell exposure studies that simulate the respiratory system and facilitate associated biological and toxicological tests. The objective of the present work was the further advancement of a Multiculture Exposure Chamber (MEC) into a dose-controlled system for efficient delivery of nanoparticles to cells. It was validated with various types of nanoparticles (diesel engine soot aggregates, engineered nanoparticles for various applications) and with state-of-the-art nanoparticle measurement instrumentation to assess the local deposition of nanoparticles on the cell cultures. The dose of nanoparticles to which cell cultures are being exposed was evaluated in the normal operation of the in vitro cell culture exposure chamber based on measurements of the size specific nanoparticle collection efficiency of a cell free device. The average efficiency in delivering nanoparticles in the MEC was approximately 82%. The nanoparticle deposition was demonstrated by Transmission Electron Microscopy (TEM). Analysis and design of the MEC employs Computational Fluid Dynamics (CFD) and true to geometry representations of nanoparticles with the aim to assess the uniformity of nanoparticle deposition among the culture wells. Final testing of the dose-controlled cell exposure system was performed by exposing A549 lung cell cultures to fluorescently labeled nanoparticles. Delivery of aerosolized nanoparticles was demonstrated by visualization of the nanoparticle fluorescence in the cell cultures following exposure. Also monitored was the potential of the aerosolized nanoparticles to generate reactive oxygen species (ROS) (e.g. free radicals and peroxides generation), thus expressing the oxidative stress of the cells which can cause extensive cellular damage or damage on DNA.

The Governor's Blue Ribbon Transportation Task Force: Implementation Report for Maximizing the Efficient Use of Iowa's Road Use Tax Fund, 1998

This report documents the Iowa Department of Transportation's accomplishments and ongoing efforts in response to 39 recommendations proposed by the Governor's Blue Ribbon Transportation Task Force at the end of 1995. Governor Terry Branstad challenged the Task Force to "maximize the benefits of each dollar spent from the Road Use Tax Fund."

Blue sticky traps are more efficient for the monitoring of Lygus rugulipennis (Heteroptera, Miridae) than yellow sticky traps

Selostus: Siniset liimapyydykset ovat keltaisia liimapyydyksiä tehokkaampia peltoluteen tarkkailussa

Line search multilevel optimization as computational methods for dense optical flow

We evaluate the performance of different optimization techniques developed in the context of optical flow computation with different variational models. In particular, based on truncated Newton methods (TN) that have been an effective approach for large-scale unconstrained optimization, we de- velop the use of efficient multilevel schemes for computing the optical flow. More precisely, we evaluate the performance of a standard unidirectional mul- tilevel algorithm - called multiresolution optimization (MR/OPT), to a bidrec- tional multilevel algorithm - called full multigrid optimization (FMG/OPT). The FMG/OPT algorithm treats the coarse grid correction as an optimiza- tion search direction and eventually scales it using a line search. Experimental results on different image sequences using four models of optical flow com- putation show that the FMG/OPT algorithm outperforms both the TN and MR/OPT algorithms in terms of the computational work and the quality of the optical flow estimation.

Kernel-based Mapping of Meteorological Fields in Complex Orography

Due to the advances in sensor networks and remote sensing technologies, the acquisition and storage rates of meteorological and climatological data increases every day and ask for novel and efficient processing algorithms. A fundamental problem of data analysis and modeling is the spatial prediction of meteorological variables in complex orography, which serves among others to extended climatological analyses, for the assimilation of data into numerical weather prediction models, for preparing inputs to hydrological models and for real time monitoring and short-term forecasting of weather.In this thesis, a new framework for spatial estimation is proposed by taking advantage of a class of algorithms emerging from the statistical learning theory. Nonparametric kernel-based methods for nonlinear data classification, regression and target detection, known as support vector machines (SVM), are adapted for mapping of meteorological variables in complex orography.With the advent of high resolution digital elevation models, the field of spatial prediction met new horizons. In fact, by exploiting image processing tools along with physical heuristics, an incredible number of terrain features which account for the topographic conditions at multiple spatial scales can be extracted. Such features are highly relevant for the mapping of meteorological variables because they control a considerable part of the spatial variability of meteorological fields in the complex Alpine orography. For instance, patterns of orographic rainfall, wind speed and cold air pools are known to be correlated with particular terrain forms, e.g. convex/concave surfaces and upwind sides of mountain slopes.Kernel-based methods are employed to learn the nonlinear statistical dependence which links the multidimensional space of geographical and topographic explanatory variables to the variable of interest, that is the wind speed as measured at the weather stations or the occurrence of orographic rainfall patterns as extracted from sequences of radar images. Compared to low dimensional models integrating only the geographical coordinates, the proposed framework opens a way to regionalize meteorological variables which are multidimensional in nature and rarely show spatial auto-correlation in the original space making the use of classical geostatistics tangled.The challenges which are explored during the thesis are manifolds. First, the complexity of models is optimized to impose appropriate smoothness properties and reduce the impact of noisy measurements. Secondly, a multiple kernel extension of SVM is considered to select the multiscale features which explain most of the spatial variability of wind speed. Then, SVM target detection methods are implemented to describe the orographic conditions which cause persistent and stationary rainfall patterns. Finally, the optimal splitting of the data is studied to estimate realistic performances and confidence intervals characterizing the uncertainty of predictions.The resulting maps of average wind speeds find applications within renewable resources assessment and opens a route to decrease the temporal scale of analysis to meet hydrological requirements. Furthermore, the maps depicting the susceptibility to orographic rainfall enhancement can be used to improve current radar-based quantitative precipitation estimation and forecasting systems and to generate stochastic ensembles of precipitation fields conditioned upon the orography.

Paper 5: Surveillance of multiple congenital anomalies: implementation of a computer algorithm in European registers for classification of cases.

BACKGROUND: Surveillance of multiple congenital anomalies is considered to be more sensitive for the detection of new teratogens than surveillance of all or isolated congenital anomalies. Current literature proposes the manual review of all cases for classification into isolated or multiple congenital anomalies. METHODS: Multiple anomalies were defined as two or more major congenital anomalies, excluding sequences and syndromes. A computer algorithm for classification of major congenital anomaly cases in the EUROCAT database according to International Classification of Diseases (ICD)v10 codes was programmed, further developed, and implemented for 1 year's data (2004) from 25 registries. The group of cases classified with potential multiple congenital anomalies were manually reviewed by three geneticists to reach a final agreement of classification as "multiple congenital anomaly" cases. RESULTS: A total of 17,733 cases with major congenital anomalies were reported giving an overall prevalence of major congenital anomalies at 2.17%. The computer algorithm classified 10.5% of all cases as "potentially multiple congenital anomalies". After manual review of these cases, 7% were agreed to have true multiple congenital anomalies. Furthermore, the algorithm classified 15% of all cases as having chromosomal anomalies, 2% as monogenic syndromes, and 76% as isolated congenital anomalies. The proportion of multiple anomalies varies by congenital anomaly subgroup with up to 35% of cases with bilateral renal agenesis. CONCLUSIONS: The implementation of the EUROCAT computer algorithm is a feasible, efficient, and transparent way to improve classification of congenital anomalies for surveillance and research.

Using niche-based models to improve the sampling of rare species

Because data on rare species usually are sparse, it is important to have efficient ways to sample additional data. Traditional sampling approaches are of limited value for rare species because a very large proportion of randomly chosen sampling sites are unlikely to shelter the species. For these species, spatial predictions from niche-based distribution models can be used to stratify the sampling and increase sampling efficiency. New data sampled are then used to improve the initial model. Applying this approach repeatedly is an adaptive process that may allow increasing the number of new occurrences found. We illustrate the approach with a case study of a rare and endangered plant species in Switzerland and a simulation experiment. Our field survey confirmed that the method helps in the discovery of new populations of the target species in remote areas where the predicted habitat suitability is high. In our simulations the model-based approach provided a significant improvement (by a factor of 1.8 to 4 times, depending on the measure) over simple random sampling. In terms of cost this approach may save up to 70% of the time spent in the field.