心脏磁共振特征跟踪局部心肌应变检测缺血性心脏病瘢痕

IF 2.1 4区 医学 Q2 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
Konstantinos Stathogiannis , Victor Mor-Avi , Nina Rashedi , Roberto M. Lang , Amit R. Patel
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引用次数: 14

摘要

虽然心脏磁共振(CMR)可以使用特征跟踪(FT)准确地量化整体左心室应变,但有研究表明,FT不能可靠地量化区域应变。我们的目的是确定使用FT测量的区域应变异常是否可以在心肌疤痕区域内检测到,并确定区域应变测量受左室射血分数(EF)影响的程度。方法回顾性分析96例患者(LVEF≤40% 46例,LVEF≤40% 50例;40%)伴有冠状动脉疾病,晚期钆增强(LGE)模式与心肌梗死一致,接受CMR成像(1.5T)。在LGE和非LGE区域测量区域收缩峰值纵向和周向应变(RLS, RCS)。对两个区域的应变与LVEF进行线性回归分析,以确定应变与LGE之间的关系是否在LV功能谱上成立。对33例患者(衍生队列)进行受试者工作曲线(Receiver-operating curve, ROC)分析,以优化菌株切断,并对其余63例患者(验证队列)进行菌株切断能力测试,以区分LGE和非LGE区域。结果LGE区RLS值和RCS值均降低:RLS值分别为- 10.4±6.2%和- 21.0±8.5% (p <0.001);RCS =−10.4±6.0%−18.9±8.6%,(分别p & lt;0.001),但在LGE和非LGE区域之间存在相当大的重叠。线性回归表明,LGE部分是由应变与EF之间的自然依赖关系驱动的,这表明需要EF校正的应变截止值来检测LGE。ROC分析显示,RLS和RCS能够区分LGE和非LGE区域: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的最佳截止值产生了0.74-0.78的敏感性、特异性和准确性。结论CMR-FT可检测心肌瘢痕区RLS和RCS异常;但是,必须考虑到LVEF。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Regional myocardial strain by cardiac magnetic resonance feature tracking for detection of scar in ischemic heart disease

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.

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来源期刊
Magnetic resonance imaging
Magnetic resonance imaging 医学-核医学
CiteScore
4.70
自引率
4.00%
发文量
194
审稿时长
83 days
期刊介绍: Magnetic Resonance Imaging (MRI) is the first international multidisciplinary journal encompassing physical, life, and clinical science investigations as they relate to the development and use of magnetic resonance imaging. MRI is dedicated to both basic research, technological innovation and applications, providing a single forum for communication among radiologists, physicists, chemists, biochemists, biologists, engineers, internists, pathologists, physiologists, computer scientists, and mathematicians.
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