Key result
Stress 82Rb PET MPI longitudinal strain correlates well with resting TTE GLS.
Why the study?
The authors sought to develop a method to measure longitudinal, radial, and circumferential myocardial strain at rest and during regadenoson pharmacologic stress using 82Rb PET electrocardiography-gated MPI.
Does myocardial strain measured by 82Rb PET MPI correlate with resting global longitudinal strain obtained by 2D echocardiography in patients undergoing stress testing?
Observational (n=80)
Does myocardial strain measured by 82Rb PET MPI correlate with resting global longitudinal strain obtained by 2D echocardiography in patients undergoing stress testing?
Myocardial strain can be reproducibly measured using 82Rb PET MPI and correlates well with standard resting echocardiographic global longitudinal strain.
Supports PET MPI strain feasibility; extends GLS data to stress PET but remains hypothesis-generating.
This study aimed to develop a measure of longitudinal, radial, and circumferential myocardial strain at rest and regadenoson during pharmacologic stress using ⁸²Rb PET electrocardiography-gated myocardial perfusion imaging (MPI). Methods: We retrospectively identified 80 patients who underwent rest and regadenoson-stress CT attenuation–corrected ⁸²Rb PET and had a standard resting transthoracic echocardiogram (TTE) with global longitudinal strain (GLS) analysis within 3 mo. A method was developed to compute longitudinal, radial, and circumferential strain from PET MPI at stress and rest. PET MPI–derived strain and left ventricular function were compared with resting TTE measures as the clinical reference standard. Interobserver agreement of PET MPI strain and left ventricular ejection fraction processing was reported. Results: Longitudinal strain assessed with resting TTE GLS showed good correlation with PET MPI at stress (r = 0.68, P < 0.001) and rest (r = 0.58, P < 0.001). Resting TTE GLS also correlated with PET MPI radial strain at stress (r = −0.70, P < 0.001) and rest (r = −0.59, P < 0.001) and circumferential strain at stress (r = 0.67, P < 0.001) and rest (r = 0.69, P < 0.001). The left ventricular ejection fraction showed good correlation between resting TTE and PET MPI at stress (r = 0.83, P < 0.001) and rest (r = 0.80, P < 0.001). Bland–Altman analysis indicated positive bias of TTE GLS compared with PET MPI longitudinal strain at stress (mean difference = 5.1%, 95% CI = [−2.5, 12.7]) and rest (mean difference = 4.2%, 95% CI = [−4.3, 12.8]). Reproducibility of PET MPI longitudinal strain showed good agreement at stress (concordance correlation coefficient = 0.73, P < 0.001) and rest (concordance correlation coefficient = 0.74, P < 0.001), with Bland–Altman analysis showing a small bias in the longitudinal direction at stress (mean difference = −0.2%) and rest (mean difference = −1.0%). Conclusion: Strain measured with PET MPI using an automated technique correlated well with resting GLS strain obtained by TTE, and the measure is reproducible. Strain from PET MPI should be investigated further to establish reference ranges and assess its value in routine clinical practice.
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Huang et al. (2022) conducted an observational in Patients undergoing myocardial perfusion imaging (n=80). 82Rb PET MPI-derived myocardial strain vs. Resting TTE global longitudinal strain was evaluated on Correlation of longitudinal strain between resting TTE GLS and PET MPI at stress (r = 0.68, p=<0.001). Myocardial longitudinal strain measured with 82Rb PET MPI at stress correlated well with resting TTE global longitudinal strain (r=0.68, P<0.001).
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