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Can Quantitative CMR Tissue Characterization Adequately Identify Cardiotoxicity During Chemotherapy?: Impact of Temporal and Observer Variability.
JACC: Cardiovascular Imaging ( IF 14.0 ) Pub Date : 2020-04-01 , DOI: 10.1016/j.jcmg.2019.10.016
Mustafa A Altaha 1 , Mark Nolan 1 , Thomas H Marwick 2 , Emily Somerset 3 , Christian Houbois 4 , Eitan Amir 5 , Paul Yip 6 , Kim A Connelly 7 , Maria Michalowska 1 , Marshall S Sussman 4 , Bernd J Wintersperger 4 , Paaladinesh Thavendiranathan 8
Affiliation  

OBJECTIVES The purpose of this study was to investigate the effect of the temporal and observer variability of cardiac magnetic resonance (CMR)-measured native T1, T2, and extracellular volume fraction (ECV) and serum biomarkers for the detection of cancer-therapeutics-related cardiac dysfunction (CTRCD). BACKGROUND Biomarkers and serial quantitative CMR tissue characterization may help identify early myocardial changes of CTRCD, but these parameters require both accuracy and reliability. METHODS A total of 50 participants (age 48.9 ± 12.1 years) underwent 3 CMR studies (1.5-T) and biomarker measurements (high-sensitivity troponin-I and B-type natriuretic peptide) at 3-month intervals: 20 with HER2-positive breast cancer (10 with and 10 without CTRCD), and 30 prospectively recruited healthy participants. T1 and T2 maps were obtained at 3 left ventricular short-axis locations. Temporal and observer variability were calculated as the coefficient of variation and as the standard error of the measurement (SEM) using repeated measures and 2-way analysis of variance. Minimal detected difference was defined as 2 × SEM. RESULTS Compared with the patients without CTRCD, those with CTRCD had larger temporal change in native T1 (27.2 ms [95% confidence interval (CI): 20.8 to 39.3 ms] vs. 12.4 ms [95% CI: 9.5 to 17.9 ms]), T2 (2.0 ms [95% CI: 1.5 to 2.9 ms] vs. 1.0 ms [95% CI: 0.74 to 1.4 ms]), and ECV (2.1% [95% CI: 1.5% to 3.1%] vs. 1.0% [95% CI: 0.8% to 1.5%]). However, the temporal changes in biomarkers overlapped. The minimal detected difference for T1 (29 ms), T2 (3.0 ms), and ECV (2.2%) in healthy participants approached the mean temporal changes in patients with CTRCD. For individual patients with CTRCD, there was overlap in the temporal changes of all 3 parameters, and the variability in healthy participants with the least overlap for native T1. The interobserver/intraobserver variabilities for the CMR parameters were low (coefficient of variation 0.5% to 4.3%). CONCLUSIONS The temporal changes in both biomarkers and tissue characterization measures in individual patients overlap with the temporal variability in healthy participants and approach the minimal detectable temporal differences. While the accuracy of the parameters awaits further study, the temporal variability of these methods may pose challenges to routine clinical application in individual patients receiving cancer therapy.

中文翻译:

定量的CMR组织表征能否充分确定化学疗法期间的心脏毒性?:时间和观察者变异性的影响。

目的本研究的目的是调查心脏磁共振(CMR)测量的天然T1,T2和细胞外体积分数(ECV)的时间和观察者变异性以及血清生物标记物对检测与癌症治疗相关的影响心脏功能障碍(CTRCD)。背景技术生物标志物和连续的定量CMR组织表征可以帮助鉴定CTRCD的早期心肌变化,但是这些参数需要准确性和可靠性。方法总共50名参与者(年龄48.9±12.1岁)接受了3个月的3次CMR研究(1.5-T)和生物标志物测量(高敏感性肌钙蛋白I和B型利钠肽):HER2阳性的20名患者乳腺癌(10名有CTRCD的患者和10名无CTRCD的患者),以及30名预期招募的健康参与者。在左心室短轴的3个位置获得了T1和T2图。使用重复测量和方差两维分析,将时间和观察者的变异性计算为变异系数和测量的标准误差(SEM)。最小检测到的差异定义为2×SEM。结果与无CTRCD的患者相比,有CTRCD的患者的天然T1时间变化更大(27.2 ms [95%置信区间(CI):20.8至39.3 ms]与12.4 ms [95%CI:9.5至17.9 ms]) ,T2(2.0 ms [95%CI:1.5至2.9 ms]与1.0 ms [95%CI:0.74至1.4 ms])和ECV(2.1%[95%CI:1.5%至3.1%] vs. 1.0 %[95%CI:0.8%至1.5%])。但是,生物标志物的时间变化重叠。T1(29 ms),T2(3.0 ms)和ECV(2。2%)的健康参与者接近CTRCD患者的平均时间变化。对于CTRCD的个体患者,所有3个参数的时间变化都存在重叠,而健康参与者的变异性与天然T1的重叠最小。CMR参数的观察者间/观察者内变异性很低(变异系数为0.5%至4.3%)。结论个体患者的生物标志物和组织表征方法的时间变化与健康参与者的时间变异性重叠,并接近最小的可检测时间差异。尽管参数的准确性有待进一步研究,但这些方法的时间变异性可能会对接受癌症治疗的个体患者的常规临床应用构成挑战。对于CTRCD的个体患者,所有3个参数的时间变化都存在重叠,而健康参与者的变异性与天然T1的重叠最小。CMR参数的观察者间/观察者内变异性很低(变异系数为0.5%至4.3%)。结论个体患者的生物标志物和组织表征方法的时间变化与健康参与者的时间变异性重叠,并接近最小的可检测时间差异。尽管参数的准确性有待进一步研究,但这些方法的时间变异性可能会对接受癌症治疗的个体患者的常规临床应用构成挑战。对于CTRCD的个体患者,所有3个参数的时间变化都存在重叠,而健康参与者的变异性与天然T1的重叠最小。CMR参数的观察者间/观察者内变异性很低(变异系数为0.5%至4.3%)。结论个体患者的生物标志物和组织表征方法的时间变化与健康参与者的时间变异性重叠,并接近最小的可检测时间差异。尽管参数的准确性有待进一步研究,但这些方法的时间变异性可能会对接受癌症治疗的个体患者的常规临床应用构成挑战。和健康参与者的变异性,其中与天然T1重叠最少。CMR参数的观察者间/观察者内变异性很低(变异系数为0.5%至4.3%)。结论个体患者的生物标志物和组织表征指标的时间变化与健康参与者的时间变异性重叠,并接近最小的可检测时间差异。尽管参数的准确性有待进一步研究,但这些方法的时间变异性可能会对接受癌症治疗的个体患者的常规临床应用构成挑战。以及健康参与者的变异性,其中自然T1的重叠性最小。CMR参数的观察者间/观察者内变异性很低(变异系数为0.5%至4.3%)。结论个体患者的生物标志物和组织表征方法的时间变化与健康参与者的时间变异性重叠,并接近最小的可检测时间差异。尽管参数的准确性有待进一步研究,但这些方法的时间变异性可能会对接受癌症治疗的个体患者的常规临床应用构成挑战。结论个体患者的生物标志物和组织表征方法的时间变化与健康参与者的时间变异性重叠,并接近最小的可检测时间差异。尽管参数的准确性有待进一步研究,但这些方法的时间变异性可能会对接受癌症治疗的个体患者的常规临床应用构成挑战。结论个体患者的生物标志物和组织表征方法的时间变化与健康参与者的时间变异性重叠,并接近最小的可检测时间差异。尽管参数的准确性有待进一步研究,但这些方法的时间变异性可能会对接受癌症治疗的个体患者的常规临床应用构成挑战。
更新日期:2020-04-01
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