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心脏磁共振特征追踪技术检测缺血性心脏病瘢痕的区域性心肌应变。

Regional myocardial strain by cardiac magnetic resonance feature tracking for detection of scar in ischemic heart disease.

机构信息

Department of Medicine, University of Chicago Medicine, Chicago, IL, USA; First Department of Cardiology, Hippokration Hospital, University of Athens, Athens, Greece.

Department of Medicine, University of Chicago Medicine, Chicago, IL, USA.

出版信息

Magn Reson Imaging. 2020 May;68:190-196. doi: 10.1016/j.mri.2020.02.009. Epub 2020 Feb 19.

Abstract

BACKGROUND

Although cardiac magnetic resonance (CMR) can accurately quantify global left ventricular strain using feature tracking (FT), it has been suggested that FT cannot reliably quantify regional strain. We aimed to determine whether abnormalities in regional strain measured using FT can be detected within areas of myocardial scar and to determine the extent to which the regional strain measurement is impacted by LV ejection fraction (EF).

METHODS

We retrospectively studied 96 patients (46 with LVEF ≤ 40%, 50 with LVEF > 40%) with coronary artery disease and a late gadolinium enhancement (LGE) pattern consistent with myocardial infarction, who underwent CMR imaging (1.5T). Regional peak systolic longitudinal and circumferential strains (RLS, RCS) were measured within LGE and non-LGE areas. Linear regression analysis was performed for strain in both areas against LVEF to determine whether the relationship between strain and LGE holds across the LV function spectrum. Receiver-operating curve (ROC) analysis was performed in 33 patients (derivation cohort) to optimize strain cutoff, which was tested in the remaining 63 patients (validation cohort) for its ability to differentiate LGE from non-LGE areas.

RESULTS

Both RLS and RCS magnitudes were reduced in LGE areas: RLS = -10.4 ± 6.2% versus -21.0 ± 8.5% (p < 0.001); RCS = -10.4 ± 6.0% versus -18.9 ± 8.6%, respectively (p < 0.001), but there was considerable overlap between LGE and non-LGE areas. Linear regression revealed that it was partially driven by the natural dependence between strain and EF, suggesting that EF-corrected strain cutoff is needed to detect LGE. ROC analysis showed the ability of both RLS and RCS to differentiate LGE from non-LGE areas: area under curve 0.95 and 0.89, respectively. In the validation cohort, optimal cutoffs of RLS/EF = 0.36 and RCS/EF = 0.37 yielded sensitivity, specificity and accuracy 0.74-0.78.

CONCLUSION

Abnormalities in RLS and RCS within areas of myocardial scar can be detected using CMR-FT; however, LVEF must be accounted for.

摘要

背景

尽管心脏磁共振(CMR)可以使用特征追踪(FT)准确地量化整体左心室应变,但有人认为 FT 不能可靠地量化局部应变。我们旨在确定使用 FT 测量的局部应变异常是否可以在心肌瘢痕区域内检测到,并确定 LV 射血分数(EF)对局部应变测量的影响程度。

方法

我们回顾性研究了 96 例(LVEF≤40%的 46 例,LVEF>40%的 50 例)患有冠心病且 LGE 模式与心肌梗死一致的患者,这些患者接受了 CMR 成像(1.5T)。在 LGE 和非 LGE 区域内测量局部收缩期纵向和圆周应变(RLS、RCS)。进行线性回归分析,以确定应变与 LGE 的关系是否贯穿 LV 功能谱。在 33 例患者(推导队列)中进行接收者操作曲线(ROC)分析,以优化应变截断值,并在其余 63 例患者(验证队列)中测试该截断值区分 LGE 与非 LGE 区域的能力。

结果

在 LGE 区域中,RLS 和 RCS 幅度均降低:RLS=-10.4±6.2%比-21.0±8.5%(p<0.001);RCS=-10.4±6.0%比-18.9±8.6%(p<0.001),但 LGE 和非 LGE 区域之间存在相当大的重叠。线性回归表明,这部分是由应变与 EF 之间的自然依赖性驱动的,这表明需要使用 EF 校正的应变截断值来检测 LGE。ROC 分析显示 RLS 和 RCS 区分 LGE 与非 LGE 区域的能力:曲线下面积分别为 0.95 和 0.89。在验证队列中,RLS/EF=0.36 和 RCS/EF=0.37 的最佳截断值得出的敏感性、特异性和准确性分别为 0.74-0.78。

结论

使用 CMR-FT 可以在心肌瘢痕区域内检测到 RLS 和 RCS 的异常,但必须考虑到 LVEF。

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