Barbosa da Rosa Nilton, Kao Tzu-Jen, Brinton John, Offner Patrick J, Burnham Ellen L, Mueller Jennifer L
School of Biomedical Engineering, Colorado State University, Fort Collins, CO.
GE HealthCare Technology and Innovation Center, Niskayuna, NY.
Crit Care Explor. 2025 Jan 13;7(1):e1198. doi: 10.1097/CCE.0000000000001198. eCollection 2025 Jan 1.
The purpose of this work is to evaluate the feasibility of lung imaging using 3D electrical impedance tomography (EIT) during spontaneous breathing trials (SBTs) in patients with acute hypoxic respiratory failure. EIT is a noninvasive, nonionizing, real-time functional imaging technique, suitable for bedside monitoring in critically ill patients. EIT data were collected in 24 mechanically ventilated patients immediately preceding and during a SBT on two rows of 16 electrodes using a simultaneous multicurrent source EIT system for 3D imaging. Dynamic 3D EIT images of conductivity were computed, as well as the EIT-derived rapid shallow breathing index, regional ventilation delay, global inhomogeneity index, and time traces of tidal volumes. 3D reconstructions and derived measures demonstrated inhomogeneity in ventilation distribution within patients. We conclude that 3D EIT images can provide information regarding ventilatory heterogeneity across the lung and may be useful in guiding ventilator management.
这项工作的目的是评估在急性低氧性呼吸衰竭患者的自主呼吸试验(SBT)期间使用三维电阻抗断层成像(EIT)进行肺部成像的可行性。EIT是一种非侵入性、非电离的实时功能成像技术,适用于危重病患者的床边监测。使用用于三维成像的同步多电流源EIT系统,在24名机械通气患者进行SBT之前和期间,在两排16个电极上收集EIT数据。计算了电导率的动态三维EIT图像,以及EIT衍生的快速浅呼吸指数、区域通气延迟、整体不均匀性指数和潮气量的时间轨迹。三维重建和衍生测量结果显示患者通气分布存在不均匀性。我们得出结论,三维EIT图像可以提供有关全肺通气异质性的信息,可能有助于指导呼吸机管理。