Thrombolytic therapy for acute myocardial infarction in the 1990s.

The efficacy of intravenous thrombolytic agents in preserving left ventricular function and in decreasing mortality from an acute myocardial infarction was demonstrated in the 1980s. The 1990s will concentrate on adjunctive therapy to thrombolysis in the treatment of an acute myocardial infarction.     

Gas chromatographic assay of methyltestosterone in tablets.

A simple gas chromatographic procedure has been developed for the determination of methyltestosterone in bulk powders and in tablets. Two new silyl ether derivatives of methyltestosterone have been prepared using dimethylethylsilylimidazole (DMESI) and dimethylisopropylsilylimidazole (DMiPSI). The method is accurate and selective for methyltestosterone within the concentration range 0.1-1.5 micrograms microliters-1.     

Frühes Ovarialkarzinom

Patients with early ovarian carcinoma have a much better survival outcome than patients with more advanced disease. Comprehensive surgical staging is crucial for the determination of prognosis and treatment planning. During 2003, the first randomized trials were published demonstrating that adjuvant platinum based chemotherapy improves recurrence free and overall survival. Current treatment recommendations are largely based on the results of these studies. Accordingly, systemic adjuvant therapy should be offered to patients with disease stage Ib or higher and to patients with moderately differentiated or undifferentiated tumors. Due to incomplete surgical staging, the stage of disease in the patients included in these studies is probably underestimated, and only a fraction of the actual advanced stage patients is included.     

Advanced image fusion algorithms for Gamma Knife treatment planning. Evaluation and proposal for clinical use.

Image fusion is a process of combining information from multiple sensors. It is a useful tool implemented in the treatment planning programme of Gamma Knife Radiosurgery. In this paper we evaluate advanced image fusion algorithms for Matlab platform and head images. We develop nine level grayscale image fusion methods: average, principal component analysis (PCA), discrete wavelet transform (DWT) and Laplacian, filter - subtract - decimate (FSD), contrast, gradient, morphological pyramid and a shift invariant discrete wavelet transform (SIDWT) method in Matlab platform. We test these methods qualitatively and quantitatively. The quantitative criteria we use are the Root Mean Square Error (RMSE), the Mutual Information (MI), the Standard Deviation (STD), the Entropy (H), the Difference Entropy (DH) and the Cross Entropy (CEN). The qualitative are: natural appearance, brilliance contrast, presence of complementary features and enhancement of common features. Finally we make clinically useful suggestions.