Consistency of myocardial mass computations as a quality control check on rest and stress left ventricular ejection

Andrew Van Tosh1, Nathaniel Reichek, Barbara Phippen-Nater

  • 1From the *Department of Research, St Francis Hospital, Roslyn; and †Division of Nuclear Medicine and Molecular Imaging, North Shore-Long Island Jewish Health System, Manhasset and New Hyde Park, NY.

Insights

Left ventricular mass is constant during rest and stress, providing a reliable internal check for left ventricular ejection fraction calculations in gated Rb PET/CT imaging.

Area of Science:

  • Nuclear cardiology
  • Cardiovascular imaging
  • Cardiac physiology

Background:

  • Left ventricular (LV) ejection fraction (EF) changes between rest and stress are physiologically significant.
  • A reliable method to validate LV EF calculations is needed.
  • LV mass should remain constant despite changes in LV volume and EF from rest to stress.

Purpose of the Study:

  • To assess the constancy of LV mass calculations between rest and regadenoson stress.
  • To determine if LV mass can serve as an internal consistency check for LV EF computations.
  • To evaluate LV mass in patients undergoing myocardial perfusion imaging.

Main Methods:

  • Retrospective review of 205 patients with suspected coronary disease.
  • Analysis of rest and regadenoson stress gated Rb PET/CT myocardial perfusion imaging data.
  • Calculation of LV volumes, EF, and mass values from equilibrium gated myocardial perfusion PET data.

Main Results:

  • LV mass values were statistically similar at rest and stress (median 115 g vs 120 g).
  • LV mass showed strong correlation between rest and stress measurements (r = 0.94).
  • Differences in LV mass between rest and stress were minimal (median 1 g).

Conclusions:

  • LV mass calculations are consistent from rest to stress across varying LV volumes and EF.
  • Consistent LV mass values confirm the appropriateness of operator choices in LV EF calculations.
  • LV mass serves as a valuable internal check for the reliability of LV EF data.
Abstract

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