Jacob Richard E, Lamm Wayne J, Einstein Daniel R, Krueger Melissa A, Glenny Robb W, Corley Richard A
1Health Impacts and Exposure Science, Pacific Northwest National Laboratory, Richland, WA, USA.
Exp Lung Res. 2015 Apr;41(3):135-45. doi: 10.3109/01902148.2014.984085. Epub 2014 Dec 16.
Computer models for inhalation toxicology and drug-aerosol delivery studies rely on ventilation pattern inputs for predictions of particle deposition and vapor uptake. However, changes in lung mechanics due to disease can impact airflow dynamics and model results. It has been demonstrated that non-invasive, in vivo, 4DCT imaging (3D imaging at multiple time points in the breathing cycle) can be used to map heterogeneities in ventilation patterns under healthy and disease conditions. The purpose of this study was to validate ventilation patterns measured from CT imaging by exposing the same rats to an aerosol of fluorescent microspheres (FMS) and examining particle deposition patterns using cryomicrotome imaging.
Six male Sprague-Dawley rats were intratracheally instilled with elastase to a single lobe to induce a heterogeneous disease. After four weeks, rats were imaged over the breathing cycle by CT then immediately exposed to an aerosol of ∼ 1 μm FMS for ∼ 5 minutes. After the exposure, the lungs were excised and prepared for cryomicrotome imaging, where a 3D image of FMS deposition was acquired using serial sectioning. Cryomicrotome images were spatially registered to match the live CT images to facilitate direct quantitative comparisons of FMS signal intensity with the CT-based ventilation maps.
Comparisons of fractional ventilation in contiguous, non-overlapping, 3D regions between CT-based ventilation maps and FMS images showed strong correlations in fractional ventilation (r = 0.888, p < 0.0001).
We conclude that ventilation maps derived from CT imaging are predictive of the 1 μm aerosol deposition used in ventilation-perfusion heterogeneity inhalation studies.
用于吸入毒理学和药物气雾剂递送研究的计算机模型依靠通气模式输入来预测颗粒沉积和蒸汽摄取。然而,疾病引起的肺力学变化会影响气流动力学和模型结果。已经证明,非侵入性的体内4DCT成像(呼吸周期中多个时间点的3D成像)可用于绘制健康和疾病状态下通气模式的异质性。本研究的目的是通过将相同的大鼠暴露于荧光微球(FMS)气雾剂并使用冷冻切片机成像检查颗粒沉积模式,来验证从CT成像测量的通气模式。
对六只雄性Sprague-Dawley大鼠经气管向单叶注入弹性蛋白酶以诱导异质性疾病。四周后,在呼吸周期内通过CT对大鼠进行成像,然后立即将其暴露于约1μmFMS的气雾剂中约5分钟。暴露后,切除肺并准备进行冷冻切片机成像,通过连续切片获取FMS沉积的3D图像。将冷冻切片机图像进行空间配准以匹配实时CT图像,以便于将FMS信号强度与基于CT的通气图进行直接定量比较。
基于CT的通气图和FMS图像之间在连续、非重叠的3D区域中的分数通气比较显示分数通气具有强相关性(r = 0.888,p < 0.0001)。
我们得出结论,从CT成像得出的通气图可预测通气-灌注异质性吸入研究中使用的1μm气雾剂沉积。