Key result
ECTb and QGS algorithms outperformed LMC and LVGTF in calculating left ventricular ejection fraction using gated myocardial perfusion SPECT, demonstrating better bias and precision.
Why the study?
Which quantitative algorithm (ECTb, QGS, LMC, or LVGTF) provides the highest relative accuracy for calculating left ventricular ejection fraction using gated myocardial perfusion SPECT?
Observational (n=74)
Which quantitative algorithm (ECTb, QGS, LMC, or LVGTF) provides the highest relative accuracy for calculating left ventricular ejection fraction using gated myocardial perfusion SPECT?
ECTb and QGS algorithms provide superior accuracy compared to LMC and LVGTF for calculating left ventricular ejection fraction from gated myocardial perfusion SPECT.
ECTb or QGS may be preferred for LVEF quantification in gated SPECT; leaves open prospective validation against reference standards.
AIM: To compare the quantitative algorithms Emory Cardiac Toolbox (ECTb), quantitative gated SPECT (QGS), layer of maximum counts (LMC), and left ventricular global thickening fraction (LVGTF) using gated myocardial tomography in the calculation of the left ventricular ejection fraction using the regression without truth (RWT) technique. MATERIALS AND METHODS: Seventy-four consecutive patients were included in the study (59 males). All patients underwent stress-rest myocardial perfusion SPECT using Tc-tetrofosmin. Analysis of variance (ANOVA), the paired Student's t-test, the Pearson correlation coefficient and Bland-Altman were used for comparing the methods. The relative accuracy was performed by RWT. RESULTS: ANOVA revealed a significant difference among the methods in calculating the ejection fraction. RWT showed that ECTb and QGS outperformed the other two methods. The ECTb was slightly better than QGS, and LMC was slightly better than LVGTF. QGS and ECTb achieved good correlations in end diastolic volume, end systolic volume and ejection fraction measurements. One-way ANOVA demonstrated that QGS was the only software program affected by the category of the perfusion summed stress score (SSS), P=0.038. The ejection fraction determined by the QGS, ECTb and LVGTF methods correlated significantly with defect size (r=0.545, P<0.0001; r=0.530, P<0.0001; and r=0.419, P<0.0001, respectively), but the LMC method was not significantly correlated (r=0.216, P=0.067). CONCLUSIONS: There was a considerable variation among the quantitative gated SPECT methods in the evaluation of the ejection fraction. RWT revealed that the ECTb and QGS outperformed the other two methods with respect to the bias and precision of the measurements. Pair-wise correlations of the four methods ranged from mild to good with large agreement limits. Results of RWT provided important information in ranking the quantitative gated SPECT methods.
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Khalil et al. (2006) conducted an observational in Patients undergoing stress-rest myocardial perfusion SPECT (n=74). Quantitative algorithms (ECTb, QGS, LMC, LVGTF) vs. Each other (using regression without truth technique) was evaluated on Left ventricular ejection fraction calculation accuracy (bias and precision). ECTb and QGS algorithms outperformed LMC and LVGTF in calculating left ventricular ejection fraction using gated myocardial perfusion SPECT, demonstrating better bias and precision.
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