Mathematical model enhances assessment of left ventricular pyruvate signal in cardiac metabolic imaging, suggesting improved diagnostic precision.
A mathematical model using exponential fitting and thresholding of the intensity distribution of [1-¹³C]pyruvate signal in the LV blood pool provides a strong correlation with the metabolic outcome, allowing for a semiautomated method to robustly assess the left ventricular pyruvate signal in dynamic nuclear polarization studies.
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Khashami et al. (2026) studied this question.
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