Department of Imaging, Medicine, and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA (K.K., R.J.H.M., Y.O., S.D.V.K., M.A.D., L.-H.H., H.G., J.X.L., T.P., P.B.K. B.K.T., D.D., D.S.B., P.J.S.).
Department of Cardiology, Nihon University, Tokyo, Japan (K.K.).
Circ Cardiovasc Imaging. 2021 Jul;14(7):e012386. doi: 10.1161/CIRCIMAGING.120.012386. Epub 2021 Jul 20.
Phase analysis of single-photon emission computed tomography myocardial perfusion imaging provides dyssynchrony information which correlates well with assessments by echocardiography, but the independent prognostic significance is not well defined. This study assessed the independent prognostic value of single-photon emission computed tomography-myocardial perfusion imaging phase analysis in the largest multinational registry to date across all modalities.
From the REFINE SPECT (Registry of Fast Myocardial Perfusion Imaging With Next Generation SPECT), a total of 19 210 patients were included (mean age 63.8±12.0 years and 56% males). Poststress total perfusion deficit, left ventricular ejection fraction, and phase variables (phase entropy, bandwidth, and SD) were obtained automatically. Cox proportional hazards analyses were performed to assess associations with major adverse cardiac events (MACE).
During a follow-up of 4.5±1.7 years, 2673 (13.9%) patients experienced MACE. Annualized MACE rates increased with phase variables and were ≈4-fold higher between the second and highest decile group for entropy (1.7% versus 6.7%). Optimal phase variable cutoff values stratified MACE risk in patients with normal and abnormal total perfusion deficit and left ventricular ejection fraction. Only entropy was independently associated with MACE. The addition of phase entropy significantly improved the discriminatory power for MACE prediction when added to the model with total perfusion deficit and left ventricular ejection fraction (<0.0001).
In a largest to date imaging study, widely representative, international cohort, phase variables were independently associated with MACE and improved risk stratification for MACE beyond the prediction by perfusion and left ventricular ejection fraction assessment alone. Phase analysis can be obtained fully automatically, without additional radiation exposure or cost to improve MACE risk prediction and, therefore, should be routinely reported for single-photon emission computed tomography-myocardial perfusion imaging studies.
单光子发射计算机断层心肌灌注成像的相位分析提供了与超声心动图评估相关的不同步信息,但独立的预后意义尚未明确。本研究评估了迄今为止在所有模态中最大的多中心注册研究中单光子发射计算机断层心肌灌注成像相位分析的独立预后价值。
来自 REFINE SPECT(下一代单光子发射计算机断层心肌灌注成像快速注册研究),共纳入 19210 例患者(平均年龄 63.8±12.0 岁,56%为男性)。获得应激后总灌注缺损、左心室射血分数和相位变量(相位熵、带宽和 SD)。采用 Cox 比例风险分析评估与主要不良心脏事件(MACE)的相关性。
在 4.5±1.7 年的随访中,2673 例(13.9%)患者发生 MACE。随着相位变量的增加,MACE 的年发生率逐渐增加,熵的第二和最高十分位数组之间的发生率几乎高出 4 倍(1.7%比 6.7%)。最佳相位变量截断值在总灌注缺损和左心室射血分数正常和异常的患者中分层了 MACE 风险。只有熵与 MACE 独立相关。当与总灌注缺损和左心室射血分数模型相加时,添加相位熵显著提高了 MACE 预测的区分能力(<0.0001)。
在迄今为止最大的成像研究中,在广泛具有代表性的国际队列中,相位变量与 MACE 独立相关,并在单独评估灌注和左心室射血分数的基础上改善了 MACE 的风险分层。相位分析可以全自动获得,无需额外的辐射暴露或成本,以改善 MACE 风险预测,因此,应常规报告单光子发射计算机断层心肌灌注成像研究。