Adrenoleucodistrofia ligada ao X: correlação entre o escore de Loes e parâmetros do tensor de difusão

Objetivo: Avaliar a correlação dos parâmetros do tensor de difusão com o escore de Loes e se os parâmetros do tensor de difusão poderiam indicar alterações estruturais precoces. Materiais e Métodos: As medidas do tensor de difusão foram obtidas em 30 exames de 14 pacientes com adrenoleucodistrofia ligada ao X e foram correlacionadas com o escore de Loes. Um grupo controle de 28 pacientes masculinos foi avaliado para estabelecer medidas do tensor de difusão pareadas por idade. Análises estatísticas intra e interobservador foram feitas. Resultados: As medidas do tensor de difusão apresentam forte correlação com o escore de Loes segundo o coeficiente de Pearson (r), com valores de –0,86, 0,89, 0,89 e 0,84 para a fração de anisotropia e difusibilidades média, radial e axial (p < 0,01). A análise da mudança nas medidas do tensor de difusão no estágio inicial da doença indica que os valores de difusibilidades média e radial podem ajudar a predizer a progressão da doença. Conclusão: As medidas de parâmetros do tensor de difusão poderiam ser usadas como um adjunto ao escore de Loes, auxiliando no monitoramento da doença e alertando uma possível progressão do escore de Loes na faixa de interesse para decisões terapêuticas.

Versatilidade do retalho musculocutâneo do tensor da fáscia lata

OBJETIVO: Relatar a experiência com a utilização do retalho musculocutâneo do tensor da fáscia lata (TFL em diferentes situações clínicas, evidenciando suas diversas aplicações, analisando e discutindo as indicações, resultados e complicações. MÉTODO: Entre janeiro de 2003 e dezembro de 2005 dezessete retalhos miocutâneos do TFL foram realizados para cobertura cutânea em uma variedade de defeitos em quinze pacientes.Durante o ato operatório a equipe optou pelo posicionamento do paciente em decúbito lateral em oposição ao lado da lesão a ser reparada. RESULTADOS: Houve sucesso com cobertura cutânea adequada em todos os casos. Em quatro destes ocorreu necessidade de enxerto de pele parcial na área doadora. Em dois casos houve isquemia distal do retalho e em um aconteceu pequena deiscência de sutura em zona doadora. CONCLUSÃO: O retalho miocutâneo do tensor da fáscia lata, portanto, possibilita uma excelente cobertura cutânea para tratamento de defeitos em diversos segmentos anatômicos com pouca morbidade em área doadora.

Diffusion Tensor Imaging as a Diagnostic and Research Tool: A Study on Preterm Infants

Diffusion tensor imaging (DTI) is an advanced magnetic resonance imaging (MRI) technique. DTI is based on free thermal motion (diffusion) of water molecules. The properties of diffusion can be represented using parameters such as fractional anisotropy, mean diffusivity, axial diffusivity, and radial diffusivity, which are calculated from DTI data. These parameters can be used to study the microstructure in fibrous structure such as brain white matter. The aim of this study was to investigate the reproducibility of region-of-interest (ROI) analysis and determine associations between white matter integrity and antenatal and early postnatal growth at term age using DTI. Antenatal growth was studied using both the ROI and tract-based spatial statistics (TBSS) method and postnatal growth using only the TBSS method. The infants included to this study were born below 32 gestational weeks or birth weight less than 1,501 g and imaged with a 1.5 T MRI system at term age. Total number of 132 infants met the inclusion criteria between June 2004 and December 2006. Due to exclusion criteria, a total of 76 preterm infants (ROI) and 36 preterm infants (TBSS) were accepted to this study. The ROI analysis was quite reproducible at term age. Reproducibility varied between white matter structures and diffusion parameters. Normal antenatal growth was positively associated with white matter maturation at term age. The ROI analysis showed associations only in the corpus callosum. Whereas, TBSS revealed associations in several brain white matter areas. Infants with normal antenatal growth showed more mature white matter compared to small for gestational age infants. The gestational age at birth had no significant association with white matter maturation at term age. It was observed that good early postnatal growth associated negatively with white matter maturation at term age. Growth-restricted infants seemed to have delayed brain maturation that was not fully compensated at term, despite catchup growth.

Assessment of the diagnostic value of diffusion tensor imaging in patients with spinal cord compression: a meta-analysis

We investigated the diagnostic value of the apparent diffusion coefficient (ADC) and fractional anisotropy (FA) of magnetic resonance diffusion tensor imaging (DTI) in patients with spinal cord compression (SCC) using a meta-analysis framework. Multiple scientific literature databases were exhaustively searched to identify articles relevant to this study. Mean values and standardized mean differences (SMDs) were calculated for the ADC and FA in normal and diseased tissues. The STATA version 12.0 software was used for statistical analysis. Of the 41 articles initially retrieved through database searches, 11 case-control studies were eligible for the meta-analysis and contained a combined total of 645 human subjects (394 patients with SCC and 251 healthy controls). All 11 studies reported data on FA, and 9 contained data related to the ADC. The combined SMDs of the ADC and FA showed that the ADC was significantly higher and the FA was lower in patients with SCC than in healthy controls. Subgroup analysis based on the b value showed higher ADCs in patients with SCC than in healthy controls at b values of both ≤500 and >500 s/mm2. In summary, the main findings of this meta-analysis revealed an increased ADC and decreased FA in patients with SCC, indicating that DTI is an important diagnostic imaging tool to assess patients suspected to have SCC.

Global coordination: weighted voting

In order to halt the depletion of global ecological capital, a number of different kinds of meetings between Governments of countries in the world has been scheduled. The need for global coordination of environmental policies has become ever more obvious, supported by more and more evidence of the running down of ecological capital. But there are no formal or binding arrangements in sight, as global environmental coordination suffers from high transaction costs (qualitative voting). The CO2 equivalent emissions, resulting in global warming, are driven by the unstoppable economic expansion in the global market economy, employing mainly fossil fuel generated energy, although at the same time lifting sharply the GDP per capita of several emerging countries. Only global environmental coordination on the successful model of the World Band and the IMF (quantitative voting) can stem the rising emissions numbers and stop further environmental degradation. However, the system of weighted voting in the WB and the IMF must be reformed by reducing the excessive voting power disparities, for instance by reducing all member country votes by the cube root expression.

Letter to S.D. Woodruff from John I. Mackenzie regarding the printing of voting blanks

Letter to S.D. Woodruff from John I. Mackenzie regarding the printing of voting blanks 1 doublesided page, handwritten), Apr. 3, 1878.

Continuity and Incentive Compatibility in Cardinal Voting Mechanisms

We show that every cardinal incentive compatible voting mechanism satisfying a continuity condition, must be ordinal. Our results apply to many standard models in mechanism design without transfers, including the standard voting models with any domain restrictions.

Priors Stabilizers and Basis Functions: From Regularization to Radial, Tensor and Additive Splines

We had previously shown that regularization principles lead to approximation schemes, as Radial Basis Functions, which are equivalent to networks with one layer of hidden units, called Regularization Networks. In this paper we show that regularization networks encompass a much broader range of approximation schemes, including many of the popular general additive models, Breiman's hinge functions and some forms of Projection Pursuit Regression. In the probabilistic interpretation of regularization, the different classes of basis functions correspond to different classes of prior probabilities on the approximating function spaces, and therefore to different types of smoothness assumptions. In the final part of the paper, we also show a relation between activation functions of the Gaussian and sigmoidal type.

On exiting after voting

We consider the problem of a society whose members must choose from a finite set of alternatives. After knowing the chosen alternative, members may reconsider their membership in the society by either staying or exiting. In turn, and as a consequence of the exit of some of its members, other members might now find undersirable to belong to the society as well. We analyze the voting behavior of members who take into account the effect of their votes not only on the chosen alternative, but also on the final composition of the society

Turning Point zapper test of moment by moment voting

This short 3 min video shows how Camtasia Studio can be used to record the audio of a lecture alongside the moment-by-moment votes recorded using Turning Point.

A Monte Carlo-Based Fiber Tracking Algorithm using Diffusion Tensor MRI

Diffusion tensor magnetic resonance imaging, which measures directional information of water diffusion in the brain, has emerged as a powerful tool for human brain studies. In this paper, we introduce a new Monte Carlo-based fiber tracking approach to estimate brain connectivity. One of the main characteristics of this approach is that all parameters of the algorithm are automatically determined at each point using the entropy of the eigenvalues of the diffusion tensor. Experimental results show the good performance of the proposed approach

Visualitzation and processing of diffusion tensor MRI

Diffusion Tensor Imaging (DTI) is a new magnetic resonance imaging modality capable of producing quantitative maps of microscopic natural displacements of water molecules that occur in brain tissues as part of the physical diffusion process. This technique has become a powerful tool in the investigation of brain structure and function because it allows for in vivo measurements of white matter fiber orientation. The application of DTI in clinical practice requires specialized processing and visualization techniques to extract and represent acquired information in a comprehensible manner. Tracking techniques are used to infer patterns of continuity in the brain by following in a step-wise mode the path of a set of particles dropped into a vector field. In this way, white matter fiber maps can be obtained.

Dunford-Pettis properties, Hilbert spaces and projective tensor products

We study complete continuity properties of operators onto ℓ2 and prove several results in the Dunford–Pettis theory of JB∗-triples and their projective tensor products, culminating in characterisations of the alternative Dunford–Pettis property for where E and F are JB∗-triples.

Analyzing diffusion tensor images with ghosting artifacts: the effects of direct and indirect normalization

The current study aims to assess the applicability of direct or indirect normalization for the analysis of fractional anisotropy (FA) maps in the context of diffusion-weighted images (DWIs) contaminated by ghosting artifacts. We found that FA maps acquired by direct normalization showed generally higher anisotropy than indirect normalization, and the disparities were aggravated by the presence of ghosting artifacts in DWIs. The voxel-wise statistical comparisons demonstrated that indirect normalization reduced the influence of artifacts and enhanced the sensitivity of detecting anisotropy differences between groups. This suggested that images contaminated with ghosting artifacts can be sensibly analyzed using indirect normalization.