Regional left ventricular endocardial strains estimated from low-dose 4DCT: Comparison with cardiac magnetic resonance feature tracking.

Regional left ventricular endocardial strains estimated from low-dose 4DCT: Comparison with cardiac magnetic resonance feature tracking.
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DOI:
10.1002/mp.15818
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发表时间:
2022-09
期刊:
影响因子:
3.8
通讯作者:
McVeigh, Elliot R.
McVeigh, Elliot R.
中科院分区:
医学3区
文献类型:
--
作者:
Manohar, Ashish;Colvert, Gabrielle M.;Ortuno, Juan E.;Chen, Zhennong;Yang, James;Colvert, Brendan T.;Bandettini, W. Patricia;Chen, Marcus Y.;Ledesma-Carbayo, Maria J.;McVeigh, Elliot R.

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局部左心室(LV)应变的估计为整体功能参数(如射血分数(EF)和整体纵向应变(GLS))提供了额外的信息,在检测局部心功能异常方面更敏感。对局部心功能的准确和可重复性的评估在各种心脏疾病的治疗中具有重要意义,如心力衰竭、心肌缺血和不同步。开发一种从4DCT图像中产生高重复性、高分辨率的局部心内膜应变估计的方法。本文提出了一种由4DCT测量左室心内膜周向应变(ϵcc)和纵向应变(ϵ11)的方法。从4DCT图像中提取心动周期每一时间帧的代表左室心内膜表面的点云。通过使用3D点集配准技术将舒张期末期点云及时配准到跨心动周期的每个后续点云,获得了跨心动周期的3D变形场。根据这些变形场,通过用最大似然估计拟合仿射变换,在整个左心内膜表面上估计了ϵcc和ϵ11。将来自4DCT的菌株与相同受试者的心脏磁共振(CMR)估计的菌株进行比较;24名受试者接受了CMR扫描,随后在几小时内获得了4DCT扫描。使用商用特征跟踪软件(Cvi42)从CMR图像估计局部左室周向和纵向应变。在两种模式下,计算全球周向应变(GCS)和全球纵向应变(GLS),作为整个左心室区域应变的平均值。采用皮尔逊相关系数和Bland-Altman分析进行比较。使用类内相关系数(ICC)来评估4DCT衍生菌株的观察者间和观察者内的重复性。4DCT来源的区域菌株与CMR来源的区域菌株有很好的相关性(ϵcc:r=0.76,p<0.001;ϵ11:r=0.64,p<0.001)。4DCT的GCS与4DCT的EF之间有很强的相关性(r=−0.96;p<0.001)。来自4DCT的菌株也具有很高的重复性,观察者间和观察者内的变异性非常低(组内相关系数在[0.92,0.99]的范围内)。我们开发了一种新的方法,从4DCT图像中估计高分辨率的局部左室心内膜周向和纵向应变。除了二尖瓣和左室流出道平面的定义外,该方法完全独立于用户;因此,心内膜应变的估计值具有很高的重复性。来自4DCT的菌株与使用商业CMR特征跟踪软件估计的菌株具有很好的相关性。这项研究中报道的有希望的结果突出了4DCT在心脏病管理中精确评估局部心功能的潜在用途。
Estimates of regional left ventricular (LV) strains provide additional information to global function parameters such as ejection fraction (EF) and global longitudinal strain (GLS), and are more sensitive in detecting abnormal regional cardiac function. The accurate and reproducible assessment of regional cardiac function has implications in the management of various cardiac diseases such as heart failure, myocardial ischemia, and dyssynchrony. To develop a method that yields highly reproducible, high-resolution estimates of regional endocardial strains from 4DCT images. A method for estimating regional LV endocardial circumferential (ϵcc) and longitudinal (ϵll) strains from 4DCT was developed. Point clouds representing the LV endocardial surface were extracted for each time frame of the cardiac cycle from 4DCT images. 3D deformation fields across the cardiac cycle were obtained by registering the end diastolic point cloud to each subsequent point cloud in time across the cardiac cycle using a 3D point-set registration technique. From these deformation fields, ϵcc and ϵll were estimated over the entire LV endocardial surface by fitting an affine transformation with maximum likelihood estimation. The 4DCT-derived strains were compared with strains estimated in the same subjects by cardiac magnetic resonance (CMR); twenty-four subjects had CMR scans followed by 4DCT scans acquired within a few hours. Regional LV circumferential and longitudinal strains were estimated from the CMR images using a commercially available feature tracking software (cvi42). Global circumferential strain (GCS) and global longitudinal strain (GLS) were calculated as the mean of the regional strains across the entire LV for both modalities. Pearson correlation coefficients and Bland-Altman analyses were used for comparisons. Intra-class correlation coefficients (ICC) were used to assess the inter- and intra-observer reproducibility of the 4DCT-derived strains. The 4DCT-derived regional strains correlated well with the CMR-derived regional strains (ϵcc: r = 0.76, p < 0.001; ϵll: r = 0.64, p < 0.001). A very strong correlation was found between 4DCT-derived GCS and 4DCT-derived EF (r = −0.96; p < 0.001). The 4DCT-derived strains were also highly reproducible, with very low inter- and intra-observer variability (intraclass correlation coefficients in the range of [0.92, 0.99]). We have developed a novel method to estimate high-resolution regional LV endocardial circumferential and longitudinal strains from 4DCT images. Except for the definition of the mitral valve and LV outflow tract planes, the method is completely user-independent; thus, yielding highly reproducible estimates of endocardial strain. The 4DCT-derived strains correlated well with those estimated using a commercial CMR feature tracking software. The promising results reported in this study highlight the potential utility of 4DCT in the precise assessment of regional cardiac function for the management of cardiac disease.
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