@article{GomezDamianSperlJanichetal.2014, author = {G{\´o}mez Dami{\´a}n, Pedro A. and Sperl, Jonathan I. and Janich, Martin A. and Khegai, Oleksandr and Wiesinger, Florian and Glaser, Steffen J. and Haase, Axel and Schwaiger, Markus and Schulte, Rolf F. and Menzel, Marion Irene}, title = {Multisite Kinetic Modeling of 13C Metabolic MR Using [1-13C]Pyruvate}, volume = {2014}, pages = {871619}, journal = {Radiology Research and Practice}, publisher = {Hindawi}, address = {New York}, issn = {2090-195X}, doi = {https://doi.org/10.1155/2014/871619}, year = {2014}, abstract = {Hyperpolarized13C imaging allows real-timein vivomeasurements of metabolite levels. Quantification of metabolite conversion between [1-13C]pyruvate and downstream metabolites [1-13C]alanine, [1-13C]lactate, and [13C]bicarbonate can be achieved through kinetic modeling. Since pyruvate interacts dynamically and simultaneously with its downstream metabolites, the purpose of this work is the determination of parameter values through a multisite, dynamic model involving possible biochemical pathways present in MR spectroscopy. Kinetic modeling parameters were determined by fitting the multisite model to time-domain dynamic metabolite data. The results for different pyruvate doses were compared with those of different two-site models to evaluate the hypothesis that for identical data the uncertainty of a model and the signal-to-noise ratio determine the sensitivity in detecting small physiological differences in the target metabolism. In comparison to the two-site exchange models, the multisite model yielded metabolic conversion rates with smaller bias and smaller standard deviation, as demonstrated in simulations with different signal-to-noise ratio. Pyruvate dose effects observed previously were confirmed and quantified through metabolic conversion rate values. Parameter interdependency allowed an accurate quantification and can therefore be useful for monitoring metabolic activity in different tissues.}, language = {en} } @article{KubalaMunozAlvarezToppingetal.2016, author = {Kubala, Eugen and Mu{\~n}oz-{\´A}lvarez, Kim A. and Topping, Geoffrey and Hundshammer, Christian and Feuerecker, Benedikt and G{\´o}mez, Pedro A. and Pariani, Giorgio and Schilling, Franz and Glaser, Steffen J. and Schulte, Rolf F. and Menzel, Marion Irene and Schwaiger, Markus}, title = {Hyperpolarized 13C Metabolic Magnetic Resonance Spectroscopy and Imaging}, volume = {2016}, pages = {e54751}, journal = {Journal of Visualized Experiments}, number = {118}, publisher = {MyJoVE Corporation}, address = {Cambridge}, issn = {1940-087X}, doi = {https://doi.org/10.3791/54751}, year = {2016}, language = {en} } @inbook{KubalaMenzelFeuereckeretal.2017, author = {Kubala, Eugen and Menzel, Marion Irene and Feuerecker, Benedikt and Glaser, Steffen J. and Schwaiger, Markus}, title = {Molecular Imaging}, booktitle = {Biophysical Techniques in Drug Discovery}, editor = {Canales, Angeles}, publisher = {Royal Society of Chemistry}, address = {Cambridge}, isbn = {978-1-78262-733-3}, doi = {https://doi.org/10.1039/9781788010016-00277}, pages = {277 -- 306}, year = {2017}, language = {en} } @article{DuewelDurstGringerietal.2016, author = {D{\"u}wel, Stephan and Durst, Markus and Gringeri, Concetta V. and Kosanke, Yvonne and Gross, Claudia and Janich, Martin A. and Haase, Axel and Glaser, Steffen J. and Schwaiger, Markus and Schulte, Rolf F. and Braren, Rickmer and Menzel, Marion Irene}, title = {Multiparametric human hepatocellular carcinoma characterization and therapy response evaluation by hyperpolarized 13C MRSI}, volume = {29}, journal = {NMR in Biomedicine}, number = {7}, publisher = {Wiley}, address = {New York}, issn = {1099-1492}, doi = {https://doi.org/10.1002/nbm.3561}, pages = {952 -- 960}, year = {2016}, language = {en} }