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Jürgen Schlegel Beate Ullrich Gabriele Stumm Peter Gass Ina-Maria Harwerth Nancy E. Hynes Marika Kiessling 《Acta neuropathologica》1993,86(5):473-479
The present study investigated the expression of c-erbB-2 in 59 meningiomas, including different histological subtypes and anaplastic variants, by immunocytochemistry and molecular biological techniques. Immunohistochemistry using the monoclonal antibody FWP-51 directed against c-erbB-2-encoded oncoprotein gp185 demonstrated variable degrees of immunoreactivity in all meningiomas. The intensity of immunostaining correlated with the degree of expression as assessed by Western analysis in 28 meningiomas using polyclonal antiserum 21N. There was no correlation between the degree of expression and histological variants. Immunoreactivity of all menigiomas was distinctly less intense, however, than that of the human breast cancer cell line SK-BR-3, and slightly lower than that of brain metastases of breast and ovarian carcinomas that served as positive controls for both methods. By Southern analysis all meningiomas showed a single copy of the c-erbB-2 gene. Non-neoplastic arachnoid cap cells also exhibited c-erbB-2 expression and the degree of immunoreactivity was comparable with the majority of meningiomas. These data argue against an overexpression of c-erbB-2 in meningiomas, but rather indicate a cell-type-specific constitutive expression of the c-erbB-2 gene product in meningiomas and their putative progenitor cells. Since a subgroup of meningiomas is known to express progesterone receptors (PR), gp185 immunoreactivity was compared to the hormone receptor status using monoclonal antibody KD68. Fifty-six percent meningiomas showed PR immunoreactivity, but there was no statistically significant correlation with the degree of gp185 expression.This study was supported by a grant of the Tumorzentrum Heidelberg/Mannheim (M.K., No. 10028060) 相似文献
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Andrea Icks Heiner Claessen Klaus Strassburger Michael Tepel Regina Waldeyer Nadja Chernyak Bernd Albers Christina Baechle Wolfgang Rathmann Christa Meisinger Barbara Thorand Matthias Hunger Michaela Schunk Renée Stark Ina-Maria Rückert Annette Peters Cornelia Huth Doris St?ckl Guido Giani Rolf Holle 《Diabetes care》2013,36(4):e53-e54
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Jeroen B. Van de Kamer Astrid A.C. De Leeuw Ina-Maria Jürgenliemk-Schulz 《Radiotherapy and oncology》2010,94(2):248-253
Purpose
To compare two methods of DVH parameter determination for combined external beam and brachytherapy treatment of cervical cancer.Materials and methods
Clinical treatment plans from five patients were used in this study. We simulated two applications given with PDR (32 × 60 cGy per application, given hourly) or HDR (4 × 7 Gy in two applications; each application of two fractions of 7 Gy, given within 17 h) standard and optimised treatment plans, all combined with IMRT (25 × 1.8 Gy). Additionally, we simulated an external beam (EBRT) boost to pathological lymph nodes or the parametrium (7 × 2 Gy).We determined D90 of the high-risk CTV (HR-CTV) and D2cc of bladder and rectum in EQD2 in two ways. (1) ‘Parameter adding’: assuming a uniform contribution of the EBRT dose distribution and adding the values of DVH parameters for the two brachytherapy insertions, and (2) ‘distributions adding’: summing 3D biological dose distributions of IMRT and brachytherapy plans and subsequently determining the values of the DVH parameters. We took α/β = 10 Gy for HR-CTV, α/β = 3 Gy otherwise and half-time of repair 1.5 h.Results
Without EBRT boost, ‘parameter adding’ yielded a good approximation. With an EBRT boost to lymph nodes, the total D90 HR-CTV was underestimated by 2.6 (SD 1.3)% for PDR and 2.8 (SD 1.4)% for HDR. This was even worse with a parametrium boost: 9.1 (SD 6.2)% for PDR and 9.9 (SD 6.2)% for HDR.Conclusion
Without an EBRT boost ‘parameter adding’, as proposed by the GEC-ESTRO, yielded accurate results for the values for DVH parameters. If an EBRT boost is given ‘distributions adding’ should be considered. 相似文献4.
Kochendörfer Ina-Maria Kienbaum Peter Großart Wolfgang Rossaint Rolf Snyder-Ramos Stephanie Grüßer Linda 《Der Anaesthesist》2022,71(11):824-833
Die Anaesthesiologie - Anästhesiegase sind potente Treibhausgase, welche nach der klinischen Anwendung an die Atmosphäre abgegeben werden und dort über Jahre verbleiben. Es wird... 相似文献
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Grüßer Linda Kochendörfer Ina-Maria Kienbaum Peter Großart Wolfgang Snyder-Ramos Stephanie Rossaint Rolf 《Der Anaesthesist》2023,72(1):65-66
Die Anaesthesiologie - 相似文献
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Background
In 2004, a practice charge for physician visits ('Praxisgebuehr') was implemented in the German health care system, mainly in order to reduce expenditures of sickness funds by reducing outpatient physician visits. In the statutory sickness funds, all adults now have to pay € 10 at their first physician visit in each 3 month period, except for vaccinations and preventive services. This study looks at the effect of this new patient fee on delaying or avoiding physician visits, with a special emphasis on different income groups. 相似文献7.
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Bernd Kowall Wolfgang Rathmann Brenda Bongaerts Barbara Thorand Petra Belcredi Margit Heier Cornelia Huth Ina-Maria Rückert Doris Stöckl Annette Peters Christa Meisinger 《Journal of diabetes and its complications》2013,27(4):340-345
AimTo evaluate the utility of diabetes prediction models for CVD prediction as stated in two earlier studies.Methods845 subjects from the population based German KORA (Cooperative Health Research in the Region of Augsburg) S4/F4 cohort study (aged 55 to 74 years, without diabetes, former stroke, and former myocardial infarction at baseline) were followed for up to ten years for incident stroke and myocardial infarction. Seven diabetes risk scores developed from four different studies were applied to the KORA cohort to assess their predictive ability for CVD.ResultsAreas under the receiver-operating curve (AROCs) for the prediction of CVD ranged from 0.60 to 0.65 when diabetes risk scores were applied to the KORA cohort. When diabetes risk scores were used to predict CVD and type 2 diabetes, respectively, AROCs for the prediction of CVD were 0.09 to 0.24 lower than AROCs for the prediction of type 2 diabetes. Furthermore, we used KORA data to develop prediction models for either diabetes or CVD, and found that they differed widely in selected predictor variables.ConclusionIn the older population, diabetes risk scores are not useful for the prediction of CVD, and prediction models for diabetes and CVD, respectively, require different parameters. 相似文献
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