Department of Biomedical Engineering, The University of Iowa, Iowa City, Iowa 52242.
Med Phys. 2013 Dec;40(12):123504. doi: 10.1118/1.4829519.
Four-dimensional computed tomography (4DCT) can be used to make measurements of pulmonary function longitudinally. The sensitivity of such measurements to identify change depends on measurement uncertainty. Previously, intrasubject reproducibility of Jacobian-based measures of lung tissue expansion was studied in two repeat prior-RT 4DCT human acquisitions. Difference in respiratory effort such as breathing amplitude and frequency may affect longitudinal function assessment. In this study, the authors present normalization schemes that correct ventilation images for variations in respiratory effort and assess the reproducibility improvement after effort correction.
Repeat 4DCT image data acquired within a short time interval from 24 patients prior to radiation therapy (RT) were used for this analysis. Using a tissue volume preserving deformable image registration algorithm, Jacobian ventilation maps in two scanning sessions were computed and compared on the same coordinate for reproducibility analysis. In addition to computing the ventilation maps from end expiration to end inspiration, the authors investigated the effort normalization strategies using other intermediated inspiration phases upon the principles of equivalent tidal volume (ETV) and equivalent lung volume (ELV). Scatter plots and mean square error of the repeat ventilation maps and the Jacobian ratio map were generated for four conditions: no effort correction, global normalization, ETV, and ELV. In addition, gamma pass rate was calculated from a modified gamma index evaluation between two ventilation maps, using acceptance criterions of 2 mm distance-to-agreement and 5% ventilation difference.
The pattern of regional pulmonary ventilation changes as lung volume changes. All effort correction strategies improved reproducibility when changes in respiratory effort were greater than 150 cc (p < 0.005 with regard to the gamma pass rate). Improvement of reproducibility was correlated with respiratory effort difference (R = 0.744 for ELV in the cohort with tidal volume difference greater than 100 cc). In general for all subjects, global normalization, ETV and ELV significantly improved reproducibility compared to no effort correction (p = 0.009, 0.002, 0.005 respectively). When tidal volume difference was small (less than 100 cc), none of the three effort correction strategies improved reproducibility significantly (p = 0.52, 0.46, 0.46 respectively). For the cohort (N = 13) with tidal volume difference greater than 100 cc, the average gamma pass rate improves from 57.3% before correction to 66.3% after global normalization, and 76.3% after ELV. ELV was found to be significantly better than global normalization (p = 0.04 for all subjects, and p = 0.003 for the cohort with tidal volume difference greater than 100 cc).
All effort correction strategies improve the reproducibility of the authors' pulmonary ventilation measures, and the improvement of reproducibility is highly correlated with the changes in respiratory effort. ELV gives better results as effort difference increase, followed by ETV, then global. However, based on the spatial and temporal heterogeneity in the lung expansion rate, a single scaling factor (e.g., global normalization) appears to be less accurate to correct the ventilation map when changes in respiratory effort are large.
四维计算机断层扫描(4DCT)可用于纵向测量肺功能。这些测量方法对识别变化的敏感性取决于测量不确定性。此前,曾在两次重复的放疗前 4DCT 人体采集研究中研究了基于雅可比的肺组织扩张测量的组内可重复性。呼吸努力(如呼吸幅度和频率)的差异可能会影响纵向功能评估。在这项研究中,作者提出了通气图像的归一化方案,以校正呼吸努力的变化,并评估努力校正后的可重复性改善。
使用来自 24 名放疗前患者的短时间间隔内采集的重复 4DCT 图像数据进行了这项分析。使用组织体积保持的变形图像配准算法,在两次扫描过程中计算并比较相同坐标处的雅可比通气图,以进行可重复性分析。除了从呼气末到吸气末计算通气图之外,作者还根据等效潮气量(ETV)和等效肺容量(ELV)的原则,研究了使用其他中间吸气阶段的努力归一化策略。对于四种情况:无努力校正、全局归一化、ETV 和 ELV,生成了重复通气图和雅可比比图的散点图和均方根误差。此外,使用修改后的伽马指数评估,在两个通气图之间计算了伽马通过率,接受标准为 2mm 距离一致性和 5%通气差异。
随着肺容量的变化,区域性肺通气的变化模式。当呼吸努力的变化大于 150cc 时,所有的努力校正策略都提高了可重复性(伽马通过率的 p 值均小于 0.005)。可重复性的改善与呼吸努力差异相关(在潮气量差异大于 100cc 的队列中,ELV 的 R 值为 0.744)。一般来说,对于所有受试者,与无努力校正相比,全局归一化、ETV 和 ELV 显著提高了可重复性(p 值分别为 0.009、0.002 和 0.005)。当潮气量差异较小时(小于 100cc),三种努力校正策略均未显著提高可重复性(p 值分别为 0.52、0.46 和 0.46)。对于潮气量差异大于 100cc 的队列(N=13),平均伽马通过率从校正前的 57.3%提高到校正后的 66.3%,ELV 提高到 76.3%。ELV 明显优于全局归一化(所有受试者的 p 值均为 0.04,潮气量差异大于 100cc 的队列的 p 值为 0.003)。
所有努力校正策略都提高了作者的肺通气测量的可重复性,并且可重复性的提高与呼吸努力的变化高度相关。当呼吸努力的变化较大时,ELV 的效果优于 ETV 和全局归一化。然而,基于肺扩张率的时空异质性,当呼吸努力变化较大时,单一的缩放因子(例如全局归一化)似乎不太准确来校正通气图。