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二维和一维评估左右心室大小和功能——与心脏磁共振成像容积分析的比较。

One- and two-dimensional estimation of right and left ventricular size and function-comparison with cardiac magnetic resonance imaging volumetric analysis.

机构信息

Alfred Hospital Heart Centre and Baker IDI Heart and Diabetes Institute, Heart Centre, Alfred Hospital, Commercial Road, Melbourne 3004, Victoria, Australia.

出版信息

Heart Lung Circ. 2010 Sep;19(9):541-8. doi: 10.1016/j.hlc.2010.03.003. Epub 2010 Apr 24.

Abstract

BACKGROUND

Estimations of right ventricular (RV) and left ventricular (LV) size and function based on 1D and 2D measures are commonly used. However, their correlation with volumetric analysis methods is not well documented.

METHODS

We analysed a series of subjects undergoing CMR (n=30). Contiguous short axis cine imaging was obtained to assess RV and LV volumes and function. Standard short and long axis cine imaging were performed to evaluate linear and planimetric dimensions as well as functional analysis.

RESULTS

Linear and planimetric measurements of the RV in standard long and short axis views correlated weakly with standard volumetric measurements (r=0.34-0.73). RV ejection fraction (EF), when calculated from single plane functional analysis correlated only moderately with the volumetric EF (r=0.75, p<0.001). In contrast, estimation of LV volumes, mass and EF by biplane area-length method demonstrated excellent correlation with volumetric data (r=0.89, 0.92 and 0.91, p<0.001 for all).

CONCLUSION

Two-dimensional estimations of volume and function correlate well with LV volumetric analysis, but not with RV volumetric analysis. Estimation of RV size and function based on linear or planimetric assumption models should be performed and interpreted with caution.

摘要

背景

基于一维和二维测量的右心室(RV)和左心室(LV)大小和功能的估计通常被使用。然而,它们与容积分析方法的相关性尚未得到很好的记录。

方法

我们分析了一系列接受 CMR 检查的患者(n=30)。采集连续短轴电影图像以评估 RV 和 LV 容积和功能。进行标准短轴和长轴电影成像,以评估线性和平面尺寸以及功能分析。

结果

标准长轴和短轴视图中 RV 的线性和平面测量与标准容积测量仅有弱相关性(r=0.34-0.73)。从单平面功能分析计算的 RV 射血分数(EF)与容积 EF 中度相关(r=0.75,p<0.001)。相比之下,双平面面积-长度法估计的 LV 容积、质量和 EF 与容积数据具有极好的相关性(r=0.89、0.92 和 0.91,p<0.001)。

结论

二维体积和功能估计与 LV 容积分析相关性良好,但与 RV 容积分析相关性不佳。基于线性或平面假设模型的 RV 大小和功能估计应谨慎进行和解释。

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