Incremental prognostic value of stress phase entropy over standard PET myocardial perfusion imaging variables.
Incremental prognostic value of stress phase entropy over standard PET myocardial perfusion imaging variables.
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DOI：
10.1007/s00259-023-06323-z
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发表时间：
2023-10
影响因子：
9.1
通讯作者：
Slomka, Piotr J.
中科院分区：
文献类型：
--
作者：
Kuronuma, Keiichiro;Miller, Robert J. H.;Van Kriekinge, Serge D.;Han, Donghee;Singh, Ananya;Gransar, Heidi;Dey, Damini;Berman, Daniel S.;Slomka, Piotr J.
关键词：
相位分析可以评估左心室不同步。相位变量相对于正电子发射断层扫描心肌灌注成像（PET-MPI）变量（包括心肌血流储备（MFR））的独立预后价值尚未研究。本研究的目的是探讨相变量预测死亡率超过标准PET-MPI变量的预后价值。入选接受药物负荷-静息82 Rb PET研究的连续性患者。通过QPET软件（Cedars-Sinai，洛杉矶，CA）自动获得所有PET-MPI变量，包括相位变量（相位熵、相位带宽和相位标准差）。考克斯比例风险分析用于评估与全因死亡率（ACM）的相关性。在总计3963例患者（中位年龄71岁; 57%为男性）中，923例患者（23%）在中位随访5年期间死亡。年化死亡率随着应激阶段熵的增加而增加，熵的最低和最高十分位组之间的差异为4.6倍（2.6 vs. 12.0%/年）。异常应力相熵（最佳截止值，43.8%）对正常和受损MFR患者的ACM风险分层（均p < 0.001）。在三个时相变量中，在调整了标准临床和PET-MPI变量（包括MFR和时相变量的应力-静息变化）（无论是否建模为二进制变量）后，只有应力时相熵与ACM显著相关（异常熵[> 43.8%]的校正风险比为1.44; 95%CI为1.18-1.75; p < 0.001）或连续变量（校正后的风险比，1.05/5%增加; 95%CI，1.01-1.10; p = 0.030）。在标准PET-MPI变量中加入应激时相熵显著提高了ACM预测的区分能力（p < 0.001），但其他时相变量没有（p > 0.1）。应力相位熵与ACM独立地且递增地关联，超出标准PET-MPI变量，包括MFR。可以自动获得相位熵，并将其包含在PET-MPI研究的临床报告中，以改善患者风险预测。在线版本包含补充材料，可通过10.1007/s 00259 -023-06323-z获得。
Phase analysis can assess left ventricular dyssynchrony. The independent prognostic value of phase variables over positron emission tomography myocardial perfusion imaging (PET-MPI) variables including myocardial flow reserve (MFR) has not been studied. The aim of this study was to explore the prognostic value of phase variables for predicting mortality over standard PET-MPI variables. Consecutive patients who underwent pharmacological stress-rest 82Rb PET study were enrolled. All PET-MPI variables including phase variables (phase entropy, phase bandwidth, and phase standard deviation) were automatically obtained by QPET software (Cedars-Sinai, Los Angeles, CA). Cox proportional hazard analyses were used to assess associations with all-cause mortality (ACM). In a total of 3963 patients (median age 71 years; 57% male), 923 patients (23%) died during a median follow-up of 5 years. Annualized mortality rates increased with stress phase entropy, with a 4.6-fold difference between the lowest and highest decile groups of entropy (2.6 vs. 12.0%/year). Abnormal stress phase entropy (optimal cutoff value, 43.8%) stratified ACM risk in patients with normal and impaired MFR (both p < 0.001). Among three phase variables, only stress phase entropy was significantly associated with ACM after the adjustment of standard clinical and PET-MPI variables including MFR and stress-rest change of phase variables, whether modeled as binary variables (adjusted hazard ratio, 1.44 for abnormal entropy [> 43.8%]; 95%CI, 1.18–1.75; p < 0.001) or continuous variables (adjusted hazard ratio, 1.05 per 5% increase; 95%CI, 1.01–1.10; p = 0.030). The addition of stress phase entropy to the standard PET-MPI variables significantly improved the discriminatory power for ACM prediction (p < 0.001), but the other phase variables did not (p > 0.1). Stress phase entropy is independently and incrementally associated with ACM beyond standard PET-MPI variables including MFR. Phase entropy can be obtained automatically and included in clinical reporting of PET-MPI studies to improve patient risk prediction. The online version contains supplementary material available at 10.1007/s00259-023-06323-z.
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影响因子：
3.9
作者：
Rodriguez-Zanella H;Arbucci R;Fritche-Salazar JF;Ortiz-Leon XA;Tuttolomondo D;Lowenstein DH;Wierzbowska-Drabik K;Ciampi Q;Kasprzak JD;Gaibazzi N;Lowenstein J;Posada-Martinez EL;Arias-Godinez JA;de la Fuente-Mancera JC;Picano E;On Behalf Of The Stress Echo Study Group Of The Italian Society Of Echocardiography And Cardiovascular Imaging Siecvi
通讯作者：
On Behalf Of The Stress Echo Study Group Of The Italian Society Of Echocardiography And Cardiovascular Imaging Siecvi
DOI：
10.1161/circimaging.120.012386
发表时间：
2021-07
期刊：
Circulation. Cardiovascular imaging
影响因子：
--
作者：
Kuronuma K;Miller RJH;Otaki Y;Van Kriekinge SD;Diniz MA;Sharir T;Hu LH;Gransar H;Liang JX;Parekh T;Kavanagh PB;Einstein AJ;Fish MB;Ruddy TD;Kaufmann PA;Sinusas AJ;Miller EJ;Bateman TM;Dorbala S;Di Carli M;Tamarappoo BK;Dey D;Berman DS;Slomka PJ
通讯作者：
Slomka PJ
影响因子：
9.3
作者：
Boogers, Mark M.;Van Kriekinge, Serge D.;Bax, Jeroen J.
通讯作者：
Bax, Jeroen J.
DOI：
10.1148/ryct.2021200536
发表时间：
2021-08-01
期刊：
RADIOLOGY-CARDIOTHORACIC IMAGING
影响因子：
--
作者：
Li, Yangjie;Liu, Xiumin;Chen, Yucheng
通讯作者：
Chen, Yucheng
影响因子：
39.3
作者：
Patel, Krishna K.;Spertus, John A.;Bateman, Timothy M.
通讯作者：
Bateman, Timothy M.