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Abstract #3899

In vivo characterization of glucose metabolism in pancreatic cancer xenografts.

Shun Kishimoto1, Jeffrey Brender1, Tomohiro Seki1, Ayano Enomoto1, Kazutoshi Yamamoto1, and Murali C Krishna1

1NCI, Bethesda, MD, United States

Recently, we developed a post processing denoising algorithms that are based on singular value decomposition and its multidimensional analogue Tucker decomposition. These algorithms allow more than 10-fold improvement in signal to noise ratio in dynamic spectroscopy and more than 50-fold in dynamic spectral imaging studies. Using this technique, we successfully characterize the metabolic profiles of two pancreatic ductal adenocarcinoma xenografts, MiaPaca-2 and Hs766t tumors by injecting 50 mg of 13C6 glucose. This imaging is potentially applicable to human subject and provides even more information than PET or 13C DNP MRI alone.

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