50 resultados para 12042


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OBJECTIVES: To histologically assess the effectiveness of a porcine-derived collagen matrix (CM) and a subepithelial connective tissue graft (CTG) for the coverage of single mucosal recessions at osseointegrated dental implants. MATERIALS AND METHODS: Chronic-type mucosal Miller Class I-like recessions (mean clinical defect height: 0.67 ± 0.33-1.16 ± 0.19 mm) were established at the buccal aspect of titanium implants with platform switch in six beagle dogs. The defects were randomly allocated to either (1) coronally advanced flap surgery (CAF) + CM, (2) CAF + CTG or (3) CAF alone. At 12 weeks, histomorphometrical measurements were made (e.g.) between the implant shoulder (IS) and the mucosal margin (PM) and IS and the outer contour of the adjacent soft tissue (mucosal thickness [MT]). RESULTS: All treatment procedures investigated were associated with an almost complete soft tissue coverage of the defect area (i.e. coronal positioning of PM relative to IS). Mean IS-PM and MT values tended to be increased in both CAF + CM (1.04 ± 0.74 mm/0.71 ± 0.55 mm) and CAF + CTG (0.88 ± 1.23 mm/0.62 ± 0.66 mm) groups when compared with CAF (0.16 ± 0.28 mm/0.34 ± 0.23 mm) alone. These differences, however, did not reach statistical significance. CONCLUSIONS: Within the limits of this pilot study, it was concluded that all treatment procedures investigated were effective in covering soft tissue recessions at titanium implants.

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Toll-like receptors are pattern recognition receptors with which hosts recognize pathogen-associated molecular patterns (PAMP). This recognition process is translated rapidly into a meaningful defense reaction. This form of innate host defense is preserved in the animal kingdom: invertebrates heavily depend on it; higher vertebrates also have an adaptive immune system. Both adaptive and innate immune systems are intertwined in that the former also depends on an intact innate recognition and response system. Members of the TLR system cover recognition of parasitic, bacterial or viral germs. Due to the constraints imposed by the necessity to recognize PAMP and to interact with downstream signaling molecules, the TLR system is relatively conserved in evolution. Nevertheless, subtle species differences have been reported for several mammalian TLR members. Examples of this will be given. In all mammalian species investigated, part of the coding sequence is available for the most important TLR members, thus allowing study of expression of these TLR members in various tissues by reverse-transcription polymerase chain reaction in its classical (RT-PCR) and quantitative real time RT-PCR (qRT-PCR) form. In some species, the whole coding sequences of the most important or even all TLR members are known. This allows construction of cDNA and transfection of common host cells, thus permitting functional studies. Extensive investigations were devoted to the study of non-synonymous single nucleotide polymorphisms. In a few cases, expression of a given amino acid in the extracellular (ligand-binding) portion of TLR members could be associated with infectious diseases. This will be discussed below.

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Vorbesitzer: Hilarion a S. Francisco; Karmeliterkloster Frankfurt am Main

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Advanced liver surgery requires a precise pre-operative planning, where liver segmentation and remnant liver volume are key elements to avoid post-operative liver failure. In that context, level-set algorithms have achieved better results than others, especially with altered liver parenchyma or in cases with previous surgery. In order to improve functional liver parenchyma volume measurements, in this work we propose two strategies to enhance previous level-set algorithms: an optimal multi-resolution strategy with fine details correction and adaptive curvature, as well as an additional semiautomatic step imposing local curvature constraints. Results show more accurate segmentations, especially in elongated structures, detecting internal lesions and avoiding leakages to close structures

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Mode of access: Internet.

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Mode of access: Internet.