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  • Column liquid chromatography  (2)
  • Contrast media  (1)
  • 1
    Electronic Resource
    Electronic Resource
    Sensitivity of enhanced MRI for the detection of breast cancer: new, multicentric, residual, and recurrent (1997)
    Springer
    European radiology 7 (1997), S. S289 
    Details
    ISSN: 1432-1084
    Keywords: Key words: Breast neoplasms ; Magnetic resonance imaging ; Gadolinium/diagnostic use ; Contrast media ; Organometallic compounds/diagnostic use
    Source: Springer Online Journal Archives 1860-2000
    Topics: Medicine
    Notes: Abstract. Magnetic resonance imaging (MRI) of the breast brings the advantages of high resolution cross-sectional imaging to breast cancer diagnosis, treatment and research: improved cancer detection, staging, selection of therapy, evaluation of therapeutic response in vivo, detection of recurrence, and even the development of new therapies. Until now breast cancer treatment and research has been impeded by the limited means of evaluating the breast cancer in vivo: primarily clinical palpation and mammography of the breast tumor. A review of the initial studies shows that with the use of paramagnetic contrast agents, MRI has a sensitivity of 96 % for detecting breast cancers. MRI detects multicentric disease with a sensitivity of 98 %, superior to any other modality. The ability of MRI to detect recurrent local breast cancer in the conservatively treated breast is nearly 100 %. MRI is capable of monitoring tumor response to chemotherapy and actually guiding therapeutic interventions such as interstitial laser photocoagulation.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/PL00006910
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    Paper (German National Licenses)
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  • 2
    Electronic Resource
    Electronic Resource
    The chromatographic properties of a mixed-bed stationary phase combining reversed-phase and strong anion exchange properties (1993)
    Springer
    Chromatographia 37 (1993), S. 60-64 
    Details
    ISSN: 1612-1112
    Keywords: Column liquid chromatography ; Mixed-bed columns ; Mixed-mode chromatography ; Drug metabolites
    Source: Springer Online Journal Archives 1860-2000
    Topics: Chemistry and Pharmacology
    Notes: Summary The feasibility of using columns prepared by mixing together ion exchange and reversed-phase packing materials, for the simultaneous separation of ionised and unionised molecules, has been examined using a range of test solutes. Columns prepared in this way showed chromatographic properties which were intermediate between those of the individual phases. The dual nature of the retention mechanism allowed the retention of ionisable molecules to be adjusted using pH whilst that of uncharged compounds was unaffected. The simultaneous chromatography of model compounds and their glucuronide, sulphate and glycine conjugates, under a variety of conditions, was demonstrated.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF02272190
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    Paper (German National Licenses)
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  • 3
    Electronic Resource
    Electronic Resource
    Quantitative structure chromatography relationships in reversed-phase high performance liquid chromatography: Prediction of retention behaviour using theoretically derived molecular properties (1993)
    Springer
    Chromatographia 37 (1993), S. 241-249 
    Details
    ISSN: 1612-1112
    Keywords: Column liquid chromatography ; Pattern recognition ; Principal components ; Multiple linear regressions ; M.O. properties
    Source: Springer Online Journal Archives 1860-2000
    Topics: Chemistry and Pharmacology
    Notes: Summary The use of theoretically calculated molecular properties as predictors for retention in reversed-phase HPLC has been explored. HPLC retention times have been measured for a series of 47 substituted aromatic molecules in three solvent mixtures and steric and electronic properties of these compounds have been derived using semi-empirical molecular orbital and empirical theoretical methods. A subset of the experimental data (a training set) was used to derive property-retention time relationships and the remaining data were then used to test the predictive capability of the methods. Good retention time prediction was possible using derived regression equations for individual solvents and after including solvent parameters it was possible to predict retention for all solvents using a single equation. This method showed that the most useful properties were calculated log P and the calculated dipole moment of the solutes, and the calculated solvent polarisability. In addition, 90% of the data were used to train an artificial neural network and the remaining 10% of the data used to test the network; excellent prediction was obtained, the neural network approach being as successful as the regression analysis.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF02278628
    Library Location Call Number Volume/Issue/Year Availability
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    Paper (German National Licenses)
    Fulltext
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