Diastolic filling parameters derived from myocardial perfusion imaging can predict left ventricular end-diastolic

Dineshkumar Patel1, Vincent J B Robinson, Roque B Arteaga

  • 1Section of Cardiology, Department of Medicine, Medical College of Georgia, Augusta, Georgia 30912, USA.

Insights

New myocardial perfusion imaging (MPI) metrics, including peak filling rate (PFR), can effectively assess diastolic dysfunction in coronary artery disease (CAD) patients. These novel measures surpass traditional lung-to-heart ratio (LHR) in diagnostic accuracy.

Area of Science:

  • Cardiology
  • Nuclear Medicine
  • Medical Imaging

Background:

  • Diastolic dysfunction worsens outcomes in coronary artery disease (CAD).
  • Elevated left ventricular end-diastolic pressure (LVEDP) is a marker of diastolic dysfunction.
  • Traditional stress (201)Tl lung-to-heart ratio (LHR) for LVEDP assessment is unavailable with (99m)Tc agents, limiting diastolic dysfunction evaluation via myocardial perfusion imaging (MPI).

Purpose of the Study:

  • To evaluate novel diastolic filling variables derived from MPI using SPECT software for assessing LVEDP in patients with CAD.
  • To compare the diagnostic performance of these novel variables against the traditional resting (201)Tl LHR.

Main Methods:

  • Fifty-two patients with ejection fraction >or=45% underwent MPI and cardiac catheterization.
  • SPECT software was used to obtain peak filling rate (PFR), time to PFR (TPFR), and filling rate during the first third of diastole (1/3FR) from MPI.
  • Resting (201)Tl LHR and LVEDP were determined via catheterization.

Main Results:

  • PFR, TPFR, and 1/3FR showed significant correlations with LVEDP (r= -0.53, 0.45, -0.45; P<0.001).
  • Resting (201)Tl LHR did not correlate significantly with LVEDP (r=0.10, P=0.49).
  • Receiver-operating-characteristic analysis demonstrated superior areas under the curve for PFR (0.83), 1/3FR (0.80), and TPFR (0.75) in detecting LVEDP >or=18 mm Hg compared to LHR.

Conclusions:

  • Diastolic filling variables (PFR, TPFR, 1/3FR) derived from SPECT MPI correlate well with LVEDP.
  • These novel MPI variables are superior to resting (201)Tl LHR for assessing diastolic dysfunction.
  • Integrating these variables into MPI can enhance the evaluation of diastolic impairments in CAD patients.
Abstract

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