Bane Octavia, Shah Sanjiv J, Cuttica Michael J, Collins Jeremy D, Selvaraj Senthil, Chatterjee Neil R, Guetter Christoph, Carr James C, Carroll Timothy J
Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai Hospital, New York, NY; Biomedical Engineering, McCormick School of Engineering, Northwestern University, Evanston, IL; Department of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, IL.
Division of Cardiology, Feinberg School of Medicine, Northwestern University, Chicago, IL.
Magn Reson Imaging. 2015 Dec;33(10):1224-1235. doi: 10.1016/j.mri.2015.08.005. Epub 2015 Aug 14.
We propose a method for non-invasive quantification of hemodynamic changes in the pulmonary arteries resulting from pulmonary hypertension (PH).
Using a two-element Windkessel model, and input parameters derived from standard MRI evaluation of flow, cardiac function and valvular motion, we derive: pulmonary artery compliance (C), mean pulmonary artery pressure (mPAP), pulmonary vascular resistance (PVR), pulmonary capillary wedge pressure (PCWP), time-averaged intra-pulmonary pressure waveforms and pulmonary artery pressures (systolic (sPAP) and diastolic (dPAP)). MRI results were compared directly to reference standard values from right heart catheterization (RHC) obtained in a series of patients with suspected pulmonary hypertension (PH).
In 7 patients with suspected PH undergoing RHC, MRI and echocardiography, there was no statistically significant difference (p<0.05) between parameters measured by MRI and RHC. Using standard clinical cutoffs to define PH (mPAP>25mmHg), MRI was able to correctly identify all patients as having pulmonary hypertension, and to correctly distinguish between pulmonary arterial (mPAP>25mmHg, PCWP<15mmHg) and venous hypertension (mPAP>25mmHg, PCWP>15mmHg) in 5 of 7 cases.
We have developed a mathematical model capable of quantifying physiological parameters that reflect the severity of PH.
我们提出一种用于无创定量评估肺动脉高压(PH)导致的肺动脉血流动力学变化的方法。
使用双元件Windkessel模型,并根据血流、心功能和瓣膜运动的标准MRI评估得出的输入参数,我们得出:肺动脉顺应性(C)、平均肺动脉压(mPAP)、肺血管阻力(PVR)、肺毛细血管楔压(PCWP)、时间平均肺内压波形以及肺动脉压(收缩压(sPAP)和舒张压(dPAP))。将MRI结果与一系列疑似肺动脉高压(PH)患者通过右心导管检查(RHC)获得的参考标准值直接进行比较。
在7例接受RHC、MRI和超声心动图检查的疑似PH患者中,MRI测量的参数与RHC测量的参数之间无统计学显著差异(p<0.05)。使用标准临床临界值定义PH(mPAP>25mmHg)时,MRI能够正确识别所有患者患有肺动脉高压,并且在7例中的5例中能够正确区分肺动脉高压(mPAP>25mmHg,PCWP<15mmHg)和静脉高压(mPAP>25mmHg,PCWP>15mmHg)。
我们开发了一种能够量化反映PH严重程度的生理参数的数学模型。