996 resultados para Rijksmuseum Amsterdam
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Amsterdam : Joannes Janssonius 1645
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Amsterdam 1664
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Amsterdam 1595
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Amsterdam 1703
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Amsterdam : J. Hondius 1613
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1 Amsterdam 1665
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Amsterdam 1579, Christopher Plantin
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Amsterdam : Johannes van Keulen 1692
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OBJECTIVES: Immunohistochemistry (IHC) has become a promising method for pre-screening ALK-rearrangements in non-small cell lung carcinomas (NSCLC). Various ALK antibodies, detection systems and automated immunostainers are available. We therefore aimed to compare the performance of the monoclonal 5A4 (Novocastra, Leica) and D5F3 (Cell Signaling, Ventana) antibodies using two different immunostainers. Additionally we analyzed the accuracy of prospective ALK IHC-testing in routine diagnostics. MATERIALS AND METHODS: Seventy-two NSCLC with available ALK FISH results and enriched for FISH-positive carcinomas were retrospectively analyzed. IHC was performed on BenchMarkXT (Ventana) using 5A4 and D5F3, respectively, and additionally with 5A4 on Bond-MAX (Leica). Data from our routine diagnostics on prospective ALK-testing with parallel IHC, using 5A4, and FISH were available from 303 NSCLC. RESULTS: All three IHC protocols showed congruent results. Only 1/25 FISH-positive NSCLC (4%) was false negative by IHC. For all three IHC protocols the sensitivity, specificity, positive (PPV) and negative predictive values (NPV) compared to FISH were 96%, 100%, 100% and 97.8%, respectively. In the prospective cohort 3/32 FISH-positive (9.4%) and 2/271 FISH-negative (0.7%) NSCLC were false negative and false positive by IHC, respectively. In routine diagnostics the sensitivity, specificity, PPV and NPV of IHC compared to FISH were 90.6%, 99.3%, 93.5% and 98.9%, respectively. CONCLUSIONS: 5A4 and D5F3 are equally well suited for detecting ALK-rearranged NSCLC. BenchMark and BOND-MAX immunostainers can be used for IHC with 5A4. True discrepancies between IHC and FISH results do exist and need to be addressed when implementing IHC in an ALK-testing algorithm.
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Occupational exposures to fungi are very frequent and are known to cause chronic or acute symptoms. To better assess health risks related to fungal exposure, it is crucial to characterize precisely the airborne fungal community in terms of quantity and composition. The objective of this chapter is to synthesize existing knowledge of airborne fungal contamination in various occupational settings. We analyzed 134 papers published between 2000 and 2014 focusing on five different work sectors considered as highly contaminated (i.e., more than 1000 fungal particles/m3): animal confinement buildings, sawmills, waste handling, the food industry, and grain/plant handling. Results show that harvesting grain, washing cheese, and handling salami seem to be the occupational situations with the worst potential for exposure. Moreover, a lack of standardized sampling and analysis methods among countries and even within the same country is highlighted. Occupational exposure limit values do not exist. Recommendations and guidelines based on culture-dependent methods, which are now recognized to underestimate true concentrations, are proposed. Those recommendations are frequently exceeded and protective measures are not always easy to implement.