Ultrastructural changes of the internal limiting membrane removed during indocyanine green assisted peeling versus conventional surgery for idiopathic macular epiretinal membrane

Résumé : Introduction : L'objectif de cette étude était d'une part d'évaluer les caractéristiques histologiques des fragments cellulaires rétiniens attachés à la limitante interne après vitrectomie et pelage d'une membrane epirétinienne, et d'autre part de mettre en évidence des différences histologiques entre les cas opérés avec ou sans l'aide d'ICG dilué dans du glucose 5%. Méthodes Nous avons examiné rétrospectivement l'histologie de 88 spécimens de membranes épimaculaires contenant la limitante interne de la rétine, qui ont été enlevés chirurgicalement entre 1995 et 2003. L'analyse histologique a centré principalement l'attention sur la présence et les caractéristiques des fragments cellulaires rétiniens attachés à la limitante interne. L'analyse statistique a comparé les résultats entre le groupe I (chirurgie conventionnelle sans l'aide de l'ICG) et le groupe II (chirurgie à l'aide de l'ICG). Résultats Soixante et onze patients ont eu une vitrectomie sans l'aide de l'ICG (groupe I) et 17 avec l'aide de l'ICG (groupe II). Le nombre de débris de cellules de Müller à la surface rétinienne de la limitante interne était plus important dans le groupe I (sans ICG) que dans le groupe II (avec ICG) (40.8% versus 11.8% ; p = 0.024). Des larges fragments cellulaires rétiniens attachés à la limitante interne ont été plus fréquemment observés dans le groupe I (sans ICG) que dans le groupe II (avec ICG) (63.4% versus 23.5%; p= 0.003). Dans cinq (7%) cas du groupe I, de gros éléments cellulaires rétiniens ont été mis en évidence (des axones neuraux ou des vaisseaux sanguins). De tels éléments n'ont pas été retrouvés dans les spécimens du groupe II (avec ICG). Conclusions L'utilisation de l'ICG dilué dans du glucose 5% pour faciliter le pelage d'une membrane épimaculaire et notamment l'ablation de la limitante interne de la rétine semble diminuer de manière significative le nombre et la taille des débris des cellules de Muller adhérents à la face rétinienne de la membrane limitante interne de la rétine. Cette observation suggère que l'utilisation per-opératoire d'ICG dilué dans du glucose 5% facilite l'ablation de la limitante interne pendant la chirurgie de la membrane epirétinienne en diminuant l'adhérence de la limitante interne à la rétine.

The rewards of cooperation: The effects of membership in European regulatory networks

Networks famously epitomize the shift from 'government' to 'governance' as governing structures for exercising control and coordination besides hierarchies and markets. Their distinctive features are their horizontality, the interdependence among member actors and an interactive decision-making style. Networks are expected to increase the problem-solving capacity of political systems in a context of growing social complexity, where political authority is increasingly fragmented across territorial and functional levels. However, very little attention has been given so far to another crucial implication of network governance - that is, the effects of networks on their members. To explore this important question, this article examines the effects of membership in European regulatory networks on two crucial attributes of member agencies, which are in charge of regulating finance, energy, telecommunications and competition: organisational growth and their regulatory powers. Panel analysis applied to data on 118 agencies during a ten-year period and semi-structured interviews provide mixed support regarding the expectation of organisational growth while strongly confirming the positive effect of networks on the increase of the regulatory powers attributed to member agencies.

MHC class II expression is differentially regulated in plasmacytoid and conventional dendritic cells.

Major histocompatibility complex (MHC) class II-restricted antigen presentation is essential for the function of dendritic cells (DCs). We show here that plasmacytoid DCs (pDCs) differ from all other DC subsets with respect to expression of CIITA, the 'master regulator' of MHC class II genes. The gene encoding CIITA is controlled by three cell type-specific promoters: pI, pIII and pIV. With gene targeting in mice, we demonstrate that pDCs rely strictly on the B cell promoter pIII, whereas macrophages and all other DCs depend on pI. The molecular mechanisms driving MHC class II expression in pDCs are thus akin to those operating in lymphoid rather than myeloid cells.

Neural networks as mechanisms to regulate division of labor.

Abstract In social insects, workers perform a multitude of tasks, such as foraging, nest construction, and brood rearing, without central control of how work is allocated among individuals. It has been suggested that workers choose a task by responding to stimuli gathered from the environment. Response-threshold models assume that individuals in a colony vary in the stimulus intensity (response threshold) at which they begin to perform the corresponding task. Here we highlight the limitations of these models with respect to colony performance in task allocation. First, we show with analysis and quantitative simulations that the deterministic response-threshold model constrains the workers' behavioral flexibility under some stimulus conditions. Next, we show that the probabilistic response-threshold model fails to explain precise colony responses to varying stimuli. Both of these limitations would be detrimental to colony performance when dynamic and precise task allocation is needed. To address these problems, we propose extensions of the response-threshold model by adding variables that weigh stimuli. We test the extended response-threshold model in a foraging scenario and show in simulations that it results in an efficient task allocation. Finally, we show that response-threshold models can be formulated as artificial neural networks, which consequently provide a comprehensive framework for modeling task allocation in social insects.

Ultrastructural changes of the internal limiting membrane removed during indocyanine green assisted peeling versus conventional surgery for idiopathic macular epiretinal membrane.

PURPOSE: To evaluate the histologic features of cellular retinal fragments on the internal limiting membrane (ILM) removed during idiopathic macular epiretinal membrane (MEM) peeling surgery with and without the aid of indocyanine green (ICG) diluted in 5% glucose. METHODS: ILM specimens removed from 88 eyes during idiopathic MEM surgery between 1995 and 2003 were reviewed retrospectively. Histologic analysis focused on the presence and characteristics of retinal fragments on the retinal surface of the ILM. Statistical analysis compared the results between group I (conventional surgery) and group II (ICG-assisted peeling). RESULTS: Seventy-one eyes underwent MEM surgery without the aid of ICG (group I) and seventeen underwent MEM ICG-assisted surgery (group II). The amount of Müller cell debris on the retinal surface of the ILM was more significant in the group I than in the group II (40.8 vs. 11.8; P = 0.024). Large fragments of Müller cells were more frequently observed in the group I (no ICG) than in the group II (ICG) (63.4 vs. 23.5%; P = 0.003). CONCLUSIONS: The use of ICG diluted with 5% glucose in ILM removal during MEM surgery was associated with less retinal debris attached to the retinal face of the ILM compared with surgery in which ICG was not used.

Objective assessment of image quality in conventional and digital mammography taking into account dynamic range.

The goal of this work is to develop a method to objectively compare the performance of a digital and a screen-film mammography system in terms of image quality. The method takes into account the dynamic range of the image detector, the detection of high and low contrast structures, the visualisation of the images and the observer response. A test object, designed to represent a compressed breast, was constructed from various tissue equivalent materials ranging from purely adipose to purely glandular composition. Different areas within the test object permitted the evaluation of low and high contrast detection, spatial resolution and image noise. All the images (digital and conventional) were captured using a CCD camera to include the visualisation process in the image quality assessment. A mathematical model observer (non-prewhitening matched filter), that calculates the detectability of high and low contrast structures using spatial resolution, noise and contrast, was used to compare the two technologies. Our results show that for a given patient dose, the detection of high and low contrast structures is significantly better for the digital system than for the conventional screen-film system studied. The method of using a test object with a large tissue composition range combined with a camera to compare conventional and digital imaging modalities can be applied to other radiological imaging techniques. In particular it could be used to optimise the process of radiographic reading of soft copy images.

A Mixed-method Social Networks Study Design for Research on Transnational Families

This paper advocates the adoption of a mixed-methods research design to describe and analyze ego-centered social networks in transnational family research. Drawing on the experience of the Social Networks Influences on Family Formation project (2004-2005), I show how the combined use of network generators and semistructured interviews (N = 116) produces unique data on family configurations and their impact on life course choices. A mixed-methods network approach presents specific advantages for research on children in transnational families. On the one hand, quantitative analyses are crucial for reconstructing and measuring the potential and actual relational support available to children in a context where kin interactions may be hindered by temporary and prolonged periods of separation. On the other hand, qualitative analyses can address strategies and practices employed by families to maintain relationships across international borders and geographic distance, as well as the implications of those strategies for children's well-being.

Association of T-zone reticular networks and conduits with ectopic lymphoid tissues in mice and humans.

Ectopic or tertiary lymphoid tissues (TLTs) are often induced at sites of chronic inflammation. They typically contain various hematopoietic cell types, high endothelial venules, and follicular dendritic cells; and are organized in lymph node-like structures. Although fibroblastic stromal cells may play a role in TLT induction and persistence, they have remained poorly defined. Herein, we report that TLTs arising during inflammation in mice and humans in a variety of tissues (eg, pancreas, kidney, liver, and salivary gland) contain stromal cell networks consisting of podoplanin(+) T-zone fibroblastic reticular cells (TRCs), distinct from follicular dendritic cells. Similar to lymph nodes, TRCs were present throughout T-cell-rich areas and had dendritic cells associated with them. They expressed lymphotoxin (LT) β receptor (LTβR), produced CCL21, and formed a functional conduit system. In rat insulin promoter-CXCL13-transgenic pancreas, the maintenance of TRC networks and conduits was partially dependent on LTβR and on lymphoid tissue inducer cells expressing LTβR ligands. In conclusion, TRCs and conduits are hallmarks of secondary lymphoid organs and of well-developed TLTs, in both mice and humans, and are likely to act as important scaffold and organizer cells of the T-cell-rich zone.

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).