A non-invasive assessment of cardiopulmonary hemodynamics with MRI in pulmonary hypertension.

A non-invasive assessment of cardiopulmonary hemodynamics with MRI in pulmonary hypertension.
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DOI:
10.1016/j.mri.2015.08.005
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发表时间:
2015-12
影响因子:
2.5
通讯作者:
Carroll TJ
Carroll TJ
中科院分区:
医学4区
文献类型:
--
作者:
Bane O;Shah SJ;Cuttica MJ;Collins JD;Selvaraj S;Chatterjee NR;Guetter C;Carr JC;Carroll TJ

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我们提出了一种无创定量肺动脉高压(PH)引起的肺动脉血流动力学变化的方法。使用两元件Windkessel模型,以及从流量、心脏功能和瓣膜运动的标准MRI评价中导出的输入参数,我们导出: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和肺动脉压(收缩压(sPAP)和舒张压(dPAP))。MRI结果直接与一系列疑似肺动脉高压(PH)患者的右心导管检查(RHC)的参考标准值进行比较。对7例可疑PH患者行RHC、MRI和超声心动图检查,MRI和RHC所测参数无显著性差异(p<0.05)。以mPAP ≥ 25 mmHg为标准临床临界值,MRI能正确诊断肺动脉高压,7例中5例能正确区分肺动脉高压(mPAP≥ 25 mmHg,PCWP<15 mmHg)和静脉高压(mPAP ≥ 25 mmHg,PCWP ≥ 15 mmHg)。我们已经开发了一种数学模型,能够量化反映PH严重程度的生理参数。
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 ≥ 25 mmHg), MRI was able to correctly identify all patients as having pulmonary hypertension, and to correctly distinguish between pulmonary arterial (mPAP≥ 25 mmHg, PCWP<15 mmHg) and venous hypertension (mPAP ≥ 25 mmHg, PCWP ≥ 15 mmHg) in 5 of 7 cases. We have developed a mathematical model capable of quantifying physiological parameters that reflect the severity of PH.