Yang Lin, Dai Meng, Möller Knut, Frerichs Inéz, Adler Andy, Fu Feng, Zhao Zhanqi
Department of Aerospace Medicine, Fourth Military Medical University, Xi'an, China.
Department of Biomedical Engineering, Fourth Military Medical University, Xi'an, China.
Quant Imaging Med Surg. 2021 Apr;11(4):1209-1219. doi: 10.21037/qims-20-682.
The global inhomogeneity () index is a functional electrical impedance tomography (EIT) parameter which is used clinically to assess ventilation distribution. However, may underestimate the actual heterogeneity when the size of lung regions is underestimated. We propose a novel method to use anatomical information to correct the index calculation.
EIT measurements were performed at the level of the fifth intercostal space in six patients with acute respiratory distress syndrome. The thorax and lungs were segmented automatically from serial individual CT scans. The anatomically derived lung regions were calculated in EIT images from simulating a homogeneous ventilation distribution in a finite element model. The conventional approach ( ), analyzes images in functionally-defined lung regions, while our proposed measure ( ) is based on analysis in anatomically-defined regions. We additionally define a simulated comparison ( ) to determine the lower limit of the measure for a homogenous distribution of ventilation.
As expected, the conventional [0.382 (0.088), median (interquartile range)] were significantly lower than the proposed [0.823 (0.152), P<0.05], and were much closer to the lower limit [0.343 (0.039)]. Both and were strongly correlated with arterial oxygen partial pressure to fractional inspired oxygen ratio (R=-0.88, P<0.05), whereas (R=0.23) was not. had a linear-regression slope 3.2 times that of suggesting a higher sensitivity to the changes in lung condition.
The proposed (or shortened as ) is an improved measure of ventilation inhomogeneity over GI, and better reflects portion of non-ventilated regions due to alveolar collapse or overdistension.
全局不均匀性()指数是一种功能性电阻抗断层成像(EIT)参数,临床上用于评估通气分布。然而,当肺区域大小被低估时,该指数可能会低估实际的异质性。我们提出了一种利用解剖学信息来校正该指数计算的新方法。
对6例急性呼吸窘迫综合征患者在第五肋间水平进行EIT测量。从系列个体CT扫描中自动分割胸部和肺部。通过在有限元模型中模拟均匀通气分布,在EIT图像中计算出解剖学衍生的肺区域。传统方法()在功能定义的肺区域分析图像,而我们提出的测量方法()基于解剖学定义区域的分析。我们还定义了一个模拟比较()来确定通气均匀分布时该测量方法的下限。
正如预期的那样,传统的[0.382(0.088),中位数(四分位间距)]显著低于提出的[0.823(0.152),P<0.05],并且更接近下限[0.343(0.039)]。和均与动脉血氧分压与吸入氧分数之比密切相关(R=-0.88, P<0.05),而(R=0.23)则不然。的线性回归斜率是传统的3.2倍,表明对肺部状况变化的敏感性更高。
提出的(或简称为)是一种比全局不均匀性指数(GI)更好的通气不均匀性测量方法,能更好地反映由于肺泡塌陷或过度扩张导致的非通气区域比例。