1 Department of Physical Therapy, Universidade Federal de Pernambuco , Recife, Brazil .
2 Grupo de Fisica Nuclear, Facultad de Ciencias Fisicas, Universidad Complutense de Madrid , Madrid, Spain .
J Aerosol Med Pulm Drug Deliv. 2018 Oct;31(5):298-310. doi: 10.1089/jamp.2017.1403. Epub 2018 Apr 19.
Manual analysis of two-dimensional (2D) scintigraphy to evaluate aerosol deposition is usually subjective and has reduced sensitivity to quantify regional differences between central and distal airways.
(1) To present a method to analyze 2D scans based on three-dimensional (3D)-linked anatomically consistent regions of interest (ROIs); (2) to evaluate peripheral-to-central counts ratio (P/C) and penetration indices (PIs) for a set of 16 subjects with moderate-to-severe asthma; and (3) to compare the reproducibility of this method against one with manually traced ROIs.
Two-dimensional scans were analyzed using custom software that scaled onto 2D-projections' 3D anatomical features, obtained from population-averaged computed tomography (CT) chest scans. ROIs for a rectangular box (bROI) and an anatomically shaped ROI (aROI) were defined by computer and by manually tracing the standard rectangular box (manual ROI [mROI]). These ROIs were defined five nonconsecutive times for each scan and average value and variability of the P/C were estimated. Based on CT estimates of lung and airways, volumes lying under the bROI and aROI, a 2D penetration index (PI) and a 3D penetration index (PI), were defined as volume-normalized ratios of aerosol deposition in central and peripheral ROIs and in central and distal airways, respectively.
P/C values and their variability, were influenced by the shape and method to define the ROIs: The P/C was systematically greater and more variable for mROI versus bROI (p < 0.005). The P/C for aROI was higher and its variability lower than those for the bROI (p < 0.001). The PI was in average the same for aROI and bROI, and is substantially (∼30 × ) greater than PI (p < 0.001). Both PI and PI, obtained with our analysis, compared well with literature values obtained with two scans (deposition and volume).
Our results demonstrate that 2D scintigraphy can be analyzed using anatomically based ROIs from 3D CT data, allowing objective and enhanced reproducibility values describing the distribution pattern of radioaerosol deposition in the tracheobronchial tree.
二维(2D)闪烁扫描分析评估气溶胶沉积通常是主观的,并且对量化中央和远端气道之间的区域差异的敏感性降低。
(1)提出一种基于三维(3D)链接的解剖一致感兴趣区(ROI)分析 2D 扫描的方法;(2)评估 16 例中重度哮喘患者的外周与中央计数比(P/C)和穿透指数(PI);(3)比较该方法与手动描记 ROI 的重现性。
使用自定义软件分析二维扫描,该软件根据从人群平均 CT(胸部 CT)扫描获得的 2D 投影的 3D 解剖特征进行缩放。矩形框(bROI)和解剖形状 ROI(aROI)的 ROI 由计算机和手动描记标准矩形框(手动 ROI [mROI])定义。为每个扫描定义五次非连续时间,估计 P/C 的平均值和变异性。基于 CT 估计的肺和气道,在 bROI 和 aROI 下的体积,定义了 2D 穿透指数(PI)和 3D 穿透指数(PI),分别为中央和外周 ROI 以及中央和远端气道中气溶胶沉积的体积归一化比。
P/C 值及其变异性受 ROI 的形状和定义方法的影响:mROI 与 bROI 相比,P/C 系统更高且更具变异性(p <0.005)。aROI 的 P/C 更高,其变异性低于 bROI(p <0.001)。aROI 的 PI 平均与 bROI 的 PI 相同,并且实质上(约 30×)大于 PI(p <0.001)。我们的分析得到的 PI 和 PI 均与文献中用两次扫描(沉积和体积)获得的值很好地吻合。
我们的结果表明,2D 闪烁扫描可以使用来自 3D CT 数据的基于解剖的 ROI 进行分析,从而允许对描述放射性气溶胶在气管支气管树中沉积分布模式的客观和增强的可重复性值进行分析。