Neural-network classification of cardiac disease from P cardiovascular magnetic resonance spectroscopy measures of creatine kinase energy metabolism.

Journal: Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance
PMID: 31401975

Abstract

BACKGROUND: The heart's energy demand per gram of tissue is the body's highest and creatine kinase (CK) metabolism, its primary energy reserve, is compromised in common heart diseases. Here, neural-network analysis is used to test whether noninvasive phosphorus (P) cardiovascular magnetic resonance spectroscopy (CMRS) measurements of cardiac adenosine triphosphate (ATP) energy, phosphocreatine (PCr), the first-order CK reaction rate k, and the rate of ATP synthesis through CK (CK flux), can predict specific human heart disease and clinical severity.

Authors

  • Meiyappan Solaiyappan
    Division of MR Research, Department of Radiology, Johns Hopkins School of Medicine, Park Bldg. 310, 600 N Wolfe St, Baltimore, MD, 21287, USA.
  • Robert G Weiss
    Division of Cardiology, Department of Medicine, Johns Hopkins University, School of Medicine, Baltimore, MD, USA.
  • Paul A Bottomley
    Division of MR Research, Department of Radiology, Johns Hopkins School of Medicine, Park Bldg. 310, 600 N Wolfe St, Baltimore, MD, 21287, USA. bottoml@mri.jhu.edu.

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