Innovative tailor made dextran based membranes with excellent non-inflammatory response: In vivo assessment.

In this work, dextran based membranes with potential to be used as implantable devices in Tissue Engineering and Regenerative Medicine (TERM) were prepared by a straightforward strategy. Briefly, two polymers approved by the Food and Drug Administration, viz. dextran and poly(ε-caprolactone) (PCL) were functionalized with methacrylate moieties, and subjected to photocrosslinking. Employing different weight ratios of each polymer in the formulations allowed to obtain transparent membranes with tunable physicochemical properties and low adverse host tissue response. Independently of the material, all formulations have shown to be thermally stable up to 300 °C whilst variations in the polymer ratio resulted in membranes with different glass transition temperatures (Tg) and flexibility. The swelling capacity ranged from 50% to 200%. On the other hand, in vitro hydrolytic degradation did not show to be material-dependent and all membranes maintained their structural integrity for more than 30 days, losing only 8-12% of their initial weight. Preliminary in vitro biological tests did not show any cytotoxic effect on seeded human dental pulp stem cells (hDPSCs), suggesting that, in general, all membranes are capable of supporting cell adhesion and viability. The in vivo biocompatibility of membranes implanted subcutaneously in rats' dorsum indicate that M100/0 (100%wt dextran) and M25/75 (25 %wt dextran) formulations can be classified as "slight-irritant" and "non-irritant", respectively. From the histological analysis performed on the main tissue organs it was not possible to detect any signs of fibrosis or necrosis thereby excluding the presence of toxic degradation by-products deposited or accumulated in these tissues. In combination, these results suggest that the newly developed formulations hold great potential as engineered devices for biomedical applications, where the biological response of cells and tissues are greatly dependent on the physical and chemical cues provided by the substrate.

Asian genotypes of dengue virus 4 in Brazil.

Dengue virus, commonly transmitted by mosquitoes, causes a human disease of significant social impact and presents a serious public health problem in Brazil. This report describes the unusual emergence of DENV-4 in northern Brazil after a nearly 30-year-long absence. DENV-4 genotype I is of Asian origin and was identified in the serum of patients receiving treatment at a hospital serving the Salvador area (Brazilian state of Bahia). The identification of dengue virus serotypes through molecular and phylogenetic analysis is essential for predicting disease severity or fatal illness, principally in endemic countries such as Brazil.

Finite element analysis of pectus carinatum surgical correction via a minimally invasive approach.

Pectus carinatum (PC) is a chest deformity caused by a disproportionate growth of the costal cartilages compared to the bony thoracic skeleton, pulling the sternum towards, which leads to its protrusion. There has been a growing interest on using the 'reversed Nuss' technique as a minimally invasive procedure for PC surgical correction. A corrective bar is introduced between the skin and the thoracic cage and positioned on top of the sternum highest protrusion area for continuous pressure. Then, it is fixed to the ribs and kept implanted for about 2-3 years. The purpose of this work was to (a) assess the stresses distribution on the thoracic cage that arise from the procedure, and (b) investigate the impact of different positioning of the corrective bar along the sternum. The higher stresses were generated on the 4th, 5th and 6th ribs backend, supporting the hypothesis of pectus deformities correction-induced scoliosis. The different bar positioning originated different stresses on the ribs' backend. The bar position that led to lower stresses generated on the ribs backend was the one that also led to the smallest sternum displacement. However, this may be preferred, as the risk of induced scoliosis is lowered.

Automatic modeling of pectus excavatum corrective prosthesis using artificial neural networks.

Pectus excavatum is the most common deformity of the thorax. Pre-operative diagnosis usually includes Computed Tomography (CT) to successfully employ a thoracic prosthesis for anterior chest wall remodeling. Aiming at the elimination of radiation exposure, this paper presents a novel methodology for the replacement of CT by a 3D laser scanner (radiation-free) for prosthesis modeling. The complete elimination of CT is based on an accurate determination of ribs position and prosthesis placement region through skin surface points. The developed solution resorts to a normalized and combined outcome of an artificial neural network (ANN) set. Each ANN model was trained with data vectors from 165 male patients and using soft tissue thicknesses (STT) comprising information from the skin and rib cage (automatically determined by image processing algorithms). Tests revealed that ribs position for prosthesis placement and modeling can be estimated with an average error of 5.0 ± 3.6mm. One also showed that the ANN performance can be improved by introducing a manually determined initial STT value in the ANN normalization procedure (average error of 2.82 ± 0.76 mm). Such error range is well below current prosthesis manual modeling (approximately 11 mm), which can provide a valuable and radiation-free procedure for prosthesis personalization.

Variations of the soft tissue thicknesses external to the ribs in pectus excavatum patients.

BACKGROUND: Surgical repair of pectus excavatum (PE) has become more popular due to improvements in the minimally invasive Nuss procedure. The pre-surgical assessment of PE patients requires Computerized Tomography (CT), as the malformation characteristics vary from patient to patient. OBJECTIVE: This work aims to characterize soft tissue thickness (STT) external to the ribs among PE patients. It also presents a comparative analysis between the anterior chest wall surface before and after surgical correction. METHODS: Through surrounding tissue segmentation in CT data, STT values were calculated at different lines along the thoracic wall, with a reference point in the intersection of coronal and median planes. The comparative analysis between the two 3D anterior chest surfaces sets a surgical correction influence area (SCIA) and a volume of interest (VOI) based on image processing algorithms, 3D surface algorithms, and registration methods. RESULTS: There are always variations between left and right side STTs (2.54 ± 2.05 mm and 2.95 ± 2.97 mm for female and male patients, respectively). STTs are dependent on age, sex, and body mass index of each patient. On female patients, breast tissue induces additional errors in bar manual conception. The distances starting at the deformity's largest depression point at the SCIA are similar in all directions. Some diverging measures and outliers were found, being difficult to find similar characteristics between them, especially in asymmetric patients. CONCLUSION: The Nuss procedure metal bar must be modeled according to each patient's special characteristics. The studied relationships between STT and chest surface could represent a step forward to eliminate the CT scan from PE pre-surgical evaluation.

[A structural analysis of the entrance exams for specialist interns from 1994 to 1996]. / Análise estrutural dos exames de ingresso nos internatos complementares de 1994 a 1996.

In order to obtain specialist training in Portugal, doctors must pass a multiple-choice examination. The aim of this article is to present a structural and mathematical analysis of the examinations in the last three years. We based our work on the calculation of reliability coefficient of the examinations, and the difficulty and discrimination index of the questions and the examinations as a whole. A detailed analysis of the examinations, including that of each of the three hundred questions, will be published by the Department of Health Manpower in January, 1997.