Non-invasive estimation of pulmonary hemodynamics from 2D-PC MRI with an arterial mechanics method.
Non-invasive estimation of pulmonary hemodynamics from 2D-PC MRI with an arterial mechanics method.
复制标题
2D-PC MRI与动脉力学方法无创评估肺血流动力学。
DOI：
10.1016/j.jbiomech.2021.110856
复制
发表时间：
2021-12-02
影响因子：
2.4
通讯作者：
Chesler NC
中科院分区：
文献类型：
--
作者：
Pewowaruk RJ;Forouzan O;Raza F;Gepner AD;Chesler NC
肺动脉高压（PH）是一种具有挑战性的心肺疾病，当平均肺动脉压（mPAP）大于20 mmHg时诊断。不幸的是，mPAP只能通过有创右心导管插入术（RHC）来测量，这促使了新的无创估计的发展。肺动脉高压患者（n=7）和对照受试者（n=8）在休息和中度运动期间对主肺动脉进行了2D相位对比（PC）MRI。一种新的方法，利用动脉力学估计mPAP和其他肺血流动力学措施，从二维PC图像。PH组在静息（24±10 vs 12±5 mmHg）和运动（40±8 vs 17±9 mmHg）时根据MRI估计的mPAP均高于对照组。根据受试者工作曲线（ROC）分析计算的曲线下面积（AUC）显示，MRI估计的mPAP在静息和运动时诊断PH患者的诊断能力优于对照受试者（静息AUC=0.91 [0.76 - 1.0]，运动AUC=0.96 [0.88 - 1.0]）。这些是有希望的概念验证结果，即可以通过MRI和动脉力学方法无创地估计肺血流动力学。未来的研究，以确定这种方法的临床效用是必要的。
Pulmonary Hypertension (PH) is a challenging cardiopulmonary disease diagnosed when the mean pulmonary artery pressure (mPAP) is greater than 20 mmHg. Unfortunately, mPAP can only be measured through invasive right heart catheterization (RHC) motivating the development of novel non-invasive estimates. Pulmonary hypertension patients (n=7) and control subjects (n=8) had 2D phase contrast (PC) MRI of the main pulmonary artery during rest and moderate exercise. A novel method utilizing arterial mechanics was used to estimate mPAP and other pulmonary hemodynamics measures from the 2D PC images. mPAP estimated from MRI was greater in the PH group than the control group at both rest (24±10 vs 12±5 mmHg) and exercise (40±8 vs 17±9 mmHg). Area under the curve (AUC) calculated from receiver operator curve (ROC) analysis showed MRI estimated mPAP had excellent diagnostic ability to diagnose PH patients vs control subjects at rest and exercise (rest AUC=0.91 [0.76 – 1.0], exercise AUC=0.96 [0.88 – 1.0]). These are promising proof-of-concept results that pulmonary hemodynamics could be non-invasively estimated from an MRI and arterial mechanics approach. Future studies to determine the clinical utility of this method are needed.
登录
查看更多内容
影响因子：
2.4
作者：
Feng, J.;Khir, A. W.
通讯作者：
Khir, A. W.
影响因子：
5.4
作者：
O'Leary, Jared M.;Assad, Tufik R.;Brittain, Evan L.
通讯作者：
Brittain, Evan L.
影响因子：
--
作者：
FUNG, YCB
通讯作者：
FUNG, YCB
影响因子：
3.8
作者：
Pewowaruk, Ryan;Roldan-Alzate, Alejandro
通讯作者：
Roldan-Alzate, Alejandro
影响因子：
6.4
作者：
Forouzan, Omid;Warczytowa, Jared;Chesler, Naomi C.
通讯作者：
Chesler, Naomi C.