Jaffe Alex T, Pallarès-López Roger, Raines Jeffrey K, Aguirre Aaron D, Anthony Brian W
Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, USA.
Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
BME Front. 2025 Mar 19;6:0115. doi: 10.34133/bmef.0115. eCollection 2025.
This is an initial study to validate central venous pressure (CVP) measurements derived from quantitative compression ultrasound (QCU). This study is the first gold standard invasive validation of CVP estimation from QCU. QCU finds the collapse force-the force required for complete occlusion-of the short axis of the internal jugular vein (IJV) to estimate CVP. We captured QCU data as well as the noninvasive clinical standard jugular venous pulsation height (JVP) on cardiac intensive care unit (CICU) patients at Massachusetts General Hospital (MGH). We compared these data to ground truth invasive CVP data from the MGH CICU. Using linear regression, we correlated invasive CVP with collapse force ( : 0.82, error: 1.08 mmHg) and with JVP ( : 0.45, error: 1.39 mmHg). To directly compare our method to JVP, we measured the percentage of patients whose uncertainty estimates for QCU methods and for JVP overlapped with their invasive CVP counterparts. We found that the CVP overlap accuracy of collapse force (77.8%) and of collapse force and hydrostatic offset (88.9%) are higher than that of JVP (12.5%). Finally, we input QCU image segmentation data of the short-axis cross-sections of the IJV and carotid artery into an inverse finite element model to predict the invasive CVP waveform. These results validate the noninvasive technique for estimating CVP, namely, QCU, indicating that it may provide a desirable, middle-ground alternative to invasive catheterization and to visual inspection of the JVP.
这是一项初步研究,旨在验证通过定量压缩超声(QCU)得出的中心静脉压(CVP)测量值。本研究是对QCU估算CVP的首次金标准侵入性验证。QCU通过找到颈内静脉(IJV)短轴的塌陷力(即完全闭塞所需的力)来估算CVP。我们在马萨诸塞州总医院(MGH)的心脏重症监护病房(CICU)患者中收集了QCU数据以及非侵入性临床标准颈静脉搏动高度(JVP)。我们将这些数据与MGH CICU的真实侵入性CVP数据进行了比较。使用线性回归,我们将侵入性CVP与塌陷力(相关系数:0.82,误差:1.08 mmHg)以及与JVP(相关系数:0.45,误差:1.39 mmHg)进行了关联。为了将我们的方法与JVP直接比较,我们测量了QCU方法和JVP的不确定性估计值与其侵入性CVP对应值重叠的患者百分比。我们发现塌陷力的CVP重叠准确率(77.8%)以及塌陷力与流体静力偏移的重叠准确率(88.9%)高于JVP的重叠准确率(12.5%)。最后,我们将IJV和颈动脉短轴横截面的QCU图像分割数据输入到一个逆有限元模型中,以预测侵入性CVP波形。这些结果验证了估算CVP的非侵入性技术,即QCU,表明它可能为侵入性导管插入术和JVP视觉检查提供一种理想的中间替代方法。