Metabolic differences both between patients and within the tumor itself can be an important determinant in cancer treatment outcome; however, methods for determining these differences non-invasively in vivo have been lacking. Using pancreatic ductal adenocarcinoma as a model, we demonstrate that xenografts with a similar genetic background can be distinguished by differing rates of glucose metabolism, which can be imaged by 13C glucose without hyperpolarization using a newly developed technique for noise suppression. Using this method, cancer subtypes that appear similar in mass spectrometry tissue biopsies and hyperpolarized MRI pyruvate metabolism measurements can be easily distinguished.
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