Chair for Computer Aided Medical Procedures & Augmented Reality
Lehrstuhl für Informatikanwendungen in der Medizin & Augmented Reality

F. Schilling, S. Düwel, M. Durst, U. Köllisch, C. Metzler-Baddeley, PA. Gómez, M. Schwaiger, R. Schulte, SJ. Glaser, A. Haase, A. Otto, MI. Menzel
Compartmentation of MCF-7 tumour cell metabolites characterised by hyperpolarised 13C diffusion-weighted spectroscopy
Proceedings of the International Society of Magnetic Resonance in Medicine (ISMRM), Melbourne, Australia, May 2012 (bib)

Quantifying and understanding tumour metabolism is a central issue in diagnosis and treatment response analysis of tumours. Using kinetic modelling, the uptake and metabolism of hyperpolarised 13C-labelled agents, such as [1-13C]pyruvate, in tumours can be analysed. The signal of each metabolite emanates from both extra- and intracellular compartments, which currently cannot be separated in experiments. The diffusion coefficient between different cellular compartments can vary up to 10-fold, therefore diffusion-weighted spectroscopy is well suited to differentiate them. Many efforts have been made to overcome the low SNR of 13C metabolites in-vivo using indirect detection techniques like ACED-STEAM (3). In this study, hyperpolarisation is used to overcome the low SNR limitations. For the first time, we show using real-time direct detection, that diffusion coefficients of [1-13C]pyruvate and its metabolites in tumour cell spheroids can be determined.
This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each authors copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.

Edit | Attach | Refresh | Diffs | More | Revision r1.11 - 19 Jul 2016 - 16:26 - NassirNavab

Lehrstuhl für Computer Aided Medical Procedures & Augmented Reality    rss.gif