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Abstract #0164

Neural-network discrimination of cardiac disease from 31P MRS measures of myocardial creatine kinase energy metabolism

Meiyappan Solaiyappan1, Robert G. Weiss2, and Paul A. Bottomley3

1Radiology, Division of MR Research, Johns Hopkins University, Baltimore, MD, United States, 2Medicine, Division of Cardiology, Johns Hopkins University, Baltimore, MD, United States, 3Radiology, Division of MR Resaerch, Johns Hopkins University, Baltimore, MD, United States

Myocardial energy demands are the highest in the body and cardiac metabolism is altered in common diseases. Only phosphorus magnetic resonance spectroscopy (MRS) can measure ATP and creatine-kinase (CK) metabolism, a primary reserve of ATP, noninvasively in the human heart. Here, neural-network analysis is used to test whether the combination of 31P MRS measurements of phosphocreatine and [ATP] concentrations, the CK reaction-rate and its ATP flux, can discriminate cardiac diseases among prior study data from 178 subjects. We find that a three-layer neural-network adequately discriminates diseases without over-training, suggesting that heretofore unidentified differences in CK metabolism may underlie cardiac disease.

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