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缺血性心肌病中,计算机断层扫描显示的左心室组织异质性和心肌内脂肪与室性心律失常的关联。

Association of left ventricular tissue heterogeneity and intramyocardial fat on computed tomography with ventricular arrhythmias in ischemic cardiomyopathy.

作者信息

Daimee Usama A, Sung Eric, Engels Marc, Halushka Marc K, Berger Ronald D, Trayanova Natalia A, Wu Katherine C, Chrispin Jonathan

机构信息

Division of Cardiology, Johns Hopkins University School of Medicine, Baltimore, Maryland.

Department of Biomedical Engineering, Johns Hopkins University, Baltimore, Maryland.

出版信息

Heart Rhythm O2. 2022 Apr 2;3(3):241-247. doi: 10.1016/j.hroo.2022.03.005. eCollection 2022 Jun.

Abstract

BACKGROUND

Gray zone, a measure of tissue heterogeneity on late gadolinium enhanced-cardiac magnetic resonance (LGE-CMR) imaging, has been shown to predict ventricular arrhythmias (VAs) in ischemic cardiomyopathy (ICM) patients. However, no studies have described whether left ventricular (LV) tissue heterogeneity and intramyocardial fat mass on contrast-enhanced computed tomography (CE-CT), which provides greater spatial resolution, is useful for assessing the risk of VAs in ICM patients with LV systolic dysfunction and no previous VAs.

OBJECTIVE

The purpose of this proof-of-concept study was to determine the feasibility of measuring global LV tissue heterogeneity and intramyocardial fat mass by CE-CT for predicting the risk of VAs in ICM patients with LV systolic dysfunction and no previous history of VAs.

METHODS

Patients with left ventricular ejection fraction ≤35% and no previous VAs were enrolled in a prospective, observational registry and underwent LGE-CMR. From this cohort, patients with ICM who additionally received CE-CT were included in the present analysis. Gray zone on LGE-CMR was defined as myocardium with signal intensity (SI) > peak SI of healthy myocardium but <50% maximal SI. Tissue heterogeneity on CE-CT was defined as the standard deviation of the Hounsfield unit image gradients (HU/mm) within the myocardium. Intramyocardial fat on CE-CT was identified as regions of image pixels between -180 and -5 HU. The primary outcome was VAs, defined as appropriate implantable cardioverter-defibrillator shock or sudden arrhythmic death.

RESULTS

The study consisted of 47 ICM patients, 13 (27.7%) of whom experienced VA events during mean follow-up of 5.6 ± 3.4 years. Increasing tissue heterogeneity (per HU/mm) was significantly associated with VAs after multivariable adjustment, including for gray zone (odds ratio [OR] 1.22; = .019). Consistently, patients with tissue heterogeneity values greater than or equal to the median (≥22.2 HU/mm) had >13-fold significantly increased risk of VA events, relative to patients with values lower than the median, after multivariable adjustment that included gray zone (OR 13.13; = .028). The addition of tissue heterogeneity to gray zone improved prediction of VAs (area under receiver operating characteristic curve increased from 0.815 to 0.876). No association was found between intramyocardial fat mass on CE-CT and VAs (OR 1.00; = .989).

CONCLUSION

In ICM patients, CE-CT-derived LV tissue heterogeneity was independently associated with VAs and may represent a novel marker useful for risk stratification.

摘要

背景

灰色区是晚期钆增强心脏磁共振成像(LGE-CMR)上组织异质性的一种测量指标,已被证明可预测缺血性心肌病(ICM)患者的室性心律失常(VA)。然而,尚无研究描述在提供更高空间分辨率的对比增强计算机断层扫描(CE-CT)上,左心室(LV)组织异质性和心肌内脂肪量是否有助于评估无既往VA的LV收缩功能障碍ICM患者发生VA的风险。

目的

本概念验证研究的目的是确定通过CE-CT测量整体LV组织异质性和心肌内脂肪量以预测无既往VA病史的LV收缩功能障碍ICM患者发生VA风险的可行性。

方法

左心室射血分数≤35%且无既往VA的患者被纳入一项前瞻性观察性登记研究,并接受LGE-CMR检查。从该队列中,额外接受CE-CT检查的ICM患者被纳入本分析。LGE-CMR上的灰色区定义为信号强度(SI)>健康心肌的峰值SI但<最大SI的50%的心肌。CE-CT上的组织异质性定义为心肌内Hounsfield单位图像梯度(HU/mm)的标准差。CE-CT上的心肌内脂肪被识别为图像像素在-180至-5 HU之间的区域。主要结局是VA,定义为合适的植入式心脏复律除颤器电击或心源性猝死。

结果

该研究包括47例ICM患者,其中13例(27.7%)在平均5.6±3.4年的随访期间发生了VA事件。多变量调整后,包括对灰色区进行调整,组织异质性增加(每HU/mm)与VA显著相关(比值比[OR]1.22;P =.019)。同样,在包括灰色区的多变量调整后,组织异质性值大于或等于中位数(≥22.2 HU/mm)的患者发生VA事件的风险相对于值低于中位数的患者显著增加>13倍(OR 13.13;P =.028)。将组织异质性添加到灰色区可改善对VA的预测(受试者工作特征曲线下面积从0.815增加到0.876)。未发现CE-CT上的心肌内脂肪量与VA之间存在关联(OR 1.00;P =.989)。

结论

在ICM患者中,CE-CT衍生的LV组织异质性与VA独立相关,可能代表一种用于风险分层的新型标志物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a7b6/9207722/bb4964718a12/gr1.jpg

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