1000 resultados para fitzpatrick skin classification


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La dermatite irritative est décrite comme une réaction réversible, non immunologique caractérisée par des lésions d'aspect très variable, allant de la simple rougeur jusqu'à la formation de bulles voire d'une nécrose, accompagnée de prurit ou d'une sensation de brûlure suite à I' application d'une substance chimique. Le teste de prédiction d'irritation cutanée est traditionnellement depuis les années 1940 le Test de Draize. Ce test consiste en l'application d'une substance chimique sur une peau rasée de lapin pendant 4h et de regarder à 24h si des signes cliniques d'irritations sont présents. Cette méthode critiquable autant d'un point de vue éthique que qualitative reste actuellement le teste le plus utilisé. Depuis le début des années 2000 de nouvelles méthodes in vitro se sont développées tel que le model d'épiderme humain recombiné (RHE). Il s agit d'une multicouche de kératinocyte bien différencié obtenu depuis une culture de don d'ovocyte. Cependant cette méthode en plus d'être très couteuse n'obtient au mieux que 76% de résultat similaire comparé au test in vivo humain. Il existe donc la nécessité de développer une nouvelle méthode in vitro qui simulerait encore mieux la réalité anatomique et physiologique retrouvée in vivo. Notre objectif a été de développer cette nouvelle méthode in vitro. Pour cela nous avons travaillé avec de la peau humaine directement prélevée après une abdominoplastie. Celle ci après préparation avec un dermatome, un couteau dont la lame est réglable pour découper l'épaisseur souhaitée de peau, est montée dans un système de diffusion cellulaire. La couche cornée est alors exposée de manière optimale à 1 ml de la substance chimique testée pendant 4h. L'échantillon de peau est alors fixé dans du formaldéhyde pour permettre la préparation de lames standards d'hématoxyline et éosine. L'irritation est alors investiguée selon des critères histopathologiques de spongioses, de nécroses et de vacuolisations cellulaires. Les résultats de ce.tte première batterie de testes sont plus que prometteurs. En effet, comparé au résultat in vivo, nous obtenons 100% de concordance pour les 4 même substances testes irritantes ou non irritantes, ce qui est supérieur au model d épiderme humain recombiné (76%). De plus le coefficient de variation entre les 3 différentes séries est inférieur à 0.1 ce qui montre une bonne reproductibilité dans un même laboratoire. Dans le futur cette méthode va devoir être testée avec un plus grand nombre de substances chimiques et sa reproductibilité évaluée dans différents laboratoires. Mais cette première evaluation, très encourageante, ouvre des pistes précieuses pour l'avenir des tests irritatifs.

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AbstractRenal cell carcinoma (RCC) is the seventh most common histological type of cancer in the Western world and has shown a sustained increase in its prevalence. The histological classification of RCCs is of utmost importance, considering the significant prognostic and therapeutic implications of its histological subtypes. Imaging methods play an outstanding role in the diagnosis, staging and follow-up of RCC. Clear cell, papillary and chromophobe are the most common histological subtypes of RCC, and their preoperative radiological characterization, either followed or not by confirmatory percutaneous biopsy, may be particularly useful in cases of poor surgical condition, metastatic disease, central mass in a solitary kidney, and in patients eligible for molecular targeted therapy. New strategies recently developed for treating renal cancer, such as cryo and radiofrequency ablation, molecularly targeted therapy and active surveillance also require appropriate preoperative characterization of renal masses. Less common histological types, although sharing nonspecific imaging features, may be suspected on the basis of clinical and epidemiological data. The present study is aimed at reviewing the main clinical and imaging findings of histological RCC subtypes.

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AbstractThe present essay is aimed at getting the radiologist familiar with the basic histological skin structure, allowing for a better correlation with sonographic findings. A high-frequency (22 MHz) ultrasonography apparatus was utilized in the present study. The histological analysis was performed after the skin specimens fixation with formalin, inclusion in paraffin blocks and subsequent staining with hematoxylin-eosin. The authors present a literature review showing the relationship between sonographic and histological findings in normal cutaneous tissue, and discuss the technique for a better performance of the sonographic scan. High-frequency ultrasonography is an excellent tool for the diagnosis of different skin conditions. However, as this method is operator-dependent, it is crucial to understand the normal skin structure as well as the correlation between histological and sonographic findings.

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Abstract Objective: To assess the cutoff values established by ROC curves to classify18F-NaF uptake as normal or malignant. Materials and Methods: PET/CT images were acquired 1 hour after administration of 185 MBq of18F-NaF. Volumes of interest (VOIs) were drawn on three regions of the skeleton as follows: proximal right humerus diaphysis (HD), proximal right femoral diaphysis (FD) and first vertebral body (VB1), in a total of 254 patients, totalling 762 VOIs. The uptake in the VOIs was classified as normal or malignant on the basis of the radiopharmaceutical distribution pattern and of the CT images. A total of 675 volumes were classified as normal and 52 were classified as malignant. Thirty-five VOIs classified as indeterminate or nonmalignant lesions were excluded from analysis. The standardized uptake value (SUV) measured on the VOIs were plotted on an ROC curve for each one of the three regions. The area under the ROC (AUC) as well as the best cutoff SUVs to classify the VOIs were calculated. The best cutoff values were established as the ones with higher result of the sum of sensitivity and specificity. Results: The AUCs were 0.933, 0.889 and 0.975 for UD, FD and VB1, respectively. The best SUV cutoffs were 9.0 (sensitivity: 73%; specificity: 99%), 8.4 (sensitivity: 79%; specificity: 94%) and 21.0 (sensitivity: 93%; specificity: 95%) for UD, FD and VB1, respectively. Conclusion: The best cutoff value varies according to bone region of analysis and it is not possible to establish one value for the whole body.

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TRAF-interacting protein (TRIP) is a ubiquitously expressed nucleolar E3 ubiquitin ligase. Ubiquitination of proteins is a post-translational modification, which decides on the cellular fate of the protein. TRIP in vivo substrate has not been yet identified. However, TRIP has been shown to play an important role in cellular proliferation, especially in keratinocytes. TRIP was found to be up-regulated in basal cell carcinoma (BCC) at the mRNA level. This prompted us to elucidate its role in skin proliferative diseases such as cancer by analyzing its expression in BCCs at protein level and in squamous cell carcinoma (SCC) at mRNA and protein level. To that purpose, we performed a real-time PCR (qPCR) analysis followed by an immunohistochemistry (IHC) on formalin-fixed, paraffin-embedded (FFPE) biopsies. The real-time PCR was performed on 12 RNA samples of which 6 were extracted from SCC biopsies and 6 from normal human skin. The results were statistically insignificant. Further analyses are needed on new RNA samples. The IHC assay was performed on 20 biopsies from BCCs, 21 biopsies from SCCs and on 5 tissues from normal human skin. The results obtained showed an extensive expression of TRIP in keratinocytes nuclei. Due to various limitations related to the technique and to doubts about preservation of the antigens in the tissues from normal human skin, we could not highlight a clear difference in TRIP expression between the different tissues. In conclusion, further analyses are needed on new RNA samples (qPCR) and on better preserved FFPE tissues from normal skin (IHC) to assess TRIP relative expression in BCCs and SCCs versus normal human skin.

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Les mécanismes qui régulent le processus de guérison de la peau lésée ne sont pas entièrement compris. Nous avons précédemment montré que les cellules dendritiques plasmocytoïdes (pDCs) sont normalement absentes de la peau saine mais infiltrent rapidement la peau humaine ainsi que celle des souris après une blessure cutanée. Après avoir infiltré la peau, ces pDCs sont capables de détecter les acides nucléiques par l'expression des récepteurs de type Toll 7 et 9 ce qui les active à produire de 1' interféron (IFN) de type I. Ce processus est primordial pour la re- épithélisation des blessures cutanées. Cependant, les mécanismes conduisant à l'infiltration et à 1'activation des pDCs restent inconnus. Dans notre projet, nous montrons que la chimiokine CxcllO est responsable de l'infiltration des pDCs. De façon importante, nous démontrons que les neutrophiles qui infiltrent également la peau lésée sont la source majeure de cette chimiokine. La déplétion des neutrophiles abolit d'ailleurs le recrutement des pDCs confirmant ainsi que CxcllO produit par les neutrophiles est responsable de l'infiltration des pDCs dans la peau endommagée. De façon intéressante, nous avons trouvé que CxcllO en plus de son activité chimiotactique, est capable de former des complexes avec l'ADN et d'activer ainsi les pDCs à produire de l'IFN de type I. De plus, nous avons observé que les neutrophiles qui infiltrent la peau forment des Neutrophil Extracellular Traps (NETs). Ces NETs sont constitués de filaments extracellulaires d'ADN recouverts par de nombreuses protéines principalement d'origine granulaire. D'une manière frappante, le blocage de la NETose ou l'utilisation de souris déficientes pour la formation de NETs altère le recrutement et l'activation des pDCs ainsi que la réponse inflammatoire qui en découle ainsi que le processus de re-epithélisation qui s'ensuit. En prenant en compte toutes ces données, nos résultats démontrent que suite à une blessure de la peau, les neutrophiles par la production de CxcllO contrôlent l'infiltration des pDCs dans la peau lésée et par la formation de NETs, promeuvent l'activation des pDCs. Notre étude fournit donc de nouvelles informations sur les mécanismes de guérison de la peau et ouvre de nouvelles perspectives thérapeutiques quant à la réparation tissulaire de la peau soit dans le but de l'amplifier ou de l'inhiber. -- The mechanisms that regulate healing of the injured skin are not well understood. We have previously shown that plasmacytoid dendritic cells (pDCs) are normally absent from the healthy skin, but rapidly infiltrate both murine and human skin upon injury. Upon skin infiltration, pDCs sense nucleic acids via TLR7/TLR9 and are activated to produce type I interferon (IFN), a process that is crucial for re-epithelialisation of skin wounds. However, the mechanisms that drive pDCs recruitment and activation in injured skin remain unclear. We show that CxcllO is responsible for pDCs infiltration. Importantly, we demonstrate that skin infiltrating neutrophils are the major source of this chemokine. Neutrophils depletion completely abrogated pDCs recruitment confirming that CxcllO- driven pDCs recruitment is controlled by neutrophils. Interestingly, CxcllO was also found to form complexes with DNA and to activate pDCs to produce Type I IFN in addition to its chemotactic activity. Moreover, we observed that infiltrating neutrophils release Neutrophils Extracellular Traps (NETs) composed of DNA filaments decorated with neutrophils-derived proteins. Strikingly, blocking NETosis or using mice deficient for NETs production impaired pDCs recruitment and activation as well as the subsequent inflammatory response and the re-epithelialisation process. Altogether, these data demonstrate that upon skin injury, neutrophils control pDCs infiltration into the injured skin by the release of CxcllO and via the production of NETs, they allow complex formation between CxcllO and NET-DNA leading to pDCs activation. Our findings provide new insights into the mechanisms of wound healing and open new avenues for potential therapeutic interventions to boost or inhibit wound repair in the skin.

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Changes in the angle of illumination incident upon a 3D surface texture can significantly alter its appearance, implying variations in the image texture. These texture variations produce displacements of class members in the feature space, increasing the failure rates of texture classifiers. To avoid this problem, a model-based texture recognition system which classifies textures seen from different distances and under different illumination directions is presented in this paper. The system works on the basis of a surface model obtained by means of 4-source colour photometric stereo, used to generate 2D image textures under different illumination directions. The recognition system combines coocurrence matrices for feature extraction with a Nearest Neighbour classifier. Moreover, the recognition allows one to guess the approximate direction of the illumination used to capture the test image

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A new approach to mammographic mass detection is presented in this paper. Although different algorithms have been proposed for such a task, most of them are application dependent. In contrast, our approach makes use of a kindred topic in computer vision adapted to our particular problem. In this sense, we translate the eigenfaces approach for face detection/classification problems to a mass detection. Two different databases were used to show the robustness of the approach. The first one consisted on a set of 160 regions of interest (RoIs) extracted from the MIAS database, being 40 of them with confirmed masses and the rest normal tissue. The second set of RoIs was extracted from the DDSM database, and contained 196 RoIs containing masses and 392 with normal, but suspicious regions. Initial results demonstrate the feasibility of using such approach with performances comparable to other algorithms, with the advantage of being a more general, simple and cost-effective approach

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We propose a probabilistic object classifier for outdoor scene analysis as a first step in solving the problem of scene context generation. The method begins with a top-down control, which uses the previously learned models (appearance and absolute location) to obtain an initial pixel-level classification. This information provides us the core of objects, which is used to acquire a more accurate object model. Therefore, their growing by specific active regions allows us to obtain an accurate recognition of known regions. Next, a stage of general segmentation provides the segmentation of unknown regions by a bottom-strategy. Finally, the last stage tries to perform a region fusion of known and unknown segmented objects. The result is both a segmentation of the image and a recognition of each segment as a given object class or as an unknown segmented object. Furthermore, experimental results are shown and evaluated to prove the validity of our proposal

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We analyze the influence of the single-particle structure on the neutron density distribution and the neutron skin in Ca, Ni, Zr, Sn, and Pb isotopes. The nucleon density distributions are calculated in the Hartree-Fock+BCS approach with the SLy4 Skyrme force. A close correlation is found between the quantum numbers of the valence neutrons and the changes in the position and the diffuseness of the nuclear surface, which in turn affect the neutron skin thickness. Neutrons in the valence orbitals with low principal quantum number and high angular momentum mainly displace the position of the neutron surface outwards, while neutrons with high principal quantum number and low angular momentum basically increase the diffuseness of the neutron surface. The impact of the valence shell neutrons on the tail of the neutron density distribution is discussed.

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Identification of clouds from satellite images is now a routine task. Observation of clouds from the ground, however, is still needed to acquire a complete description of cloud conditions. Among the standard meteorologicalvariables, solar radiation is the most affected by cloud cover. In this note, a method for using global and diffuse solar radiation data to classify sky conditions into several classes is suggested. A classical maximum-likelihood method is applied for clustering data. The method is applied to a series of four years of solar radiation data and human cloud observations at a site in Catalonia, Spain. With these data, the accuracy of the solar radiation method as compared with human observations is 45% when nine classes of sky conditions are to be distinguished, and it grows significantly to almost 60% when samples are classified in only five different classes. Most errors are explained by limitations in the database; therefore, further work is under way with a more suitable database

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A chromatographic technique for determination of rutin and narcissin in marigold extract and topical formulations was developed and validated. The method shows linearity over the concentration range of 0.2 - 6.0 μg/mL of rutin (r = 0.9986) and 0.8 - 12.0 μg/mL of narcissin (r = 0.9951). The values obtained for precision and accuracy are in agreement with ICH guidelines. Both the formulation excipients and the porcine ear skin samples did not interfere with the flavonoids determination. The recovery of rutin and narcissin in skin samples added with marigold extract was 81.41% and 83.35%, respectively, which demonstrate the applicability of this method to perform skin penetration studies.

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An analytical procedure to quantify 3-benzophenone, octylmethoxycinnamate and octylsalicylate was validated and employed to assess these ultraviolet filters in sunscreen formulations and from skin penetration studies. The effect of the vehicle on the skin retention of these filters was investigated. HPLC and extraction procedure were found to be reliable when obtaining data for the sunscreen formulations and for evaluation skin penetration. The results demonstrated that a cream gel generated higher epidermal concentrations of these filters than a lotion or cream-based formulation. Additionally, when comparing the skin retentions of each filter using the same formulation, 3-benzophenone showed the highest skin retention.