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基于径向流数据的心脏动能与粘性耗散率

Cardiac Kinetic Energy and Viscous Dissipation Rate From Radial Flow Data.

作者信息

Frank Sarah, Lee Junsung, Lantz Jonas, Ebbers Tino, Shadden Shawn C

机构信息

Mechanical Engineering, University of California, Berkeley, Berkeley, CA, United States.

Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden.

出版信息

Front Physiol. 2021 Sep 22;12:725104. doi: 10.3389/fphys.2021.725104. eCollection 2021.

Abstract

Recent studies have correlated kinetic energy (KE) and viscous dissipation rate (VDR) in the left ventricle (LV) with heart health. These studies have relied on 4D-flow imaging or computational fluid dynamics modeling, which are able to measure, or compute, all 3 components (3C) of the blood flow velocity in 3 dimensional (3D) space. This richness of data is difficult to acquire clinically. Alternatively, color Doppler echocardiography (CDE) is more widespread clinically, but only measures a single radial component of velocity and typically only over a planar section. Because of this limitation, prior CDE-based studies have first reconstructed a second component of velocity in the measurement plane prior to evaluating VDR or KE. Herein, we propose 1C-based surrogates of KE and VDR that can be derived directly from the radial component of the flow velocity in the LV. Our results demonstrate that the proposed 1C-based surrogates of KE and VDR are generally as well-correlated with the true KE and VDR values as surrogates that use reconstructed 2C flow data. Moreover, the correlation of these 1C-based surrogates with the true values indicate that CDE (3D in particular) may be useful in evaluating these metrics in practice.

摘要

最近的研究已将左心室(LV)中的动能(KE)和粘性耗散率(VDR)与心脏健康关联起来。这些研究依赖于四维流成像或计算流体动力学建模,它们能够测量或计算三维(3D)空间中血流速度的所有三个分量(3C)。这种丰富的数据在临床上很难获取。另外,彩色多普勒超声心动图(CDE)在临床上更为普及,但它仅测量速度的单个径向分量,并且通常仅在一个平面截面进行测量。由于这一局限性,先前基于CDE的研究在评估VDR或KE之前,首先在测量平面中重建速度的第二个分量。在此,我们提出基于单分量(1C)的KE和VDR替代指标,它们可以直接从LV中血流速度的径向分量得出。我们的结果表明,所提出的基于1C的KE和VDR替代指标通常与使用重建的双分量(2C)血流数据的替代指标一样,与真实的KE和VDR值具有良好的相关性。此外,这些基于1C的替代指标与真实值之间的相关性表明,CDE(特别是三维CDE)在实际评估这些指标时可能是有用的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4ff6/8493223/c68b24669b4d/fphys-12-725104-g0001.jpg

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