Wu Feihong, Chen Leqing, Huang Jia, Fan Wenliang, Yang Jinrong, Zhang Xiaohui, Jin Yang, Yang Fan, Zheng Chuansheng
Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1277 Jiefang Rd., Wuhan 430022, China.
Hubei Province Key Laboratory of Molecular Imaging, Wuhan 430022, China.
Diagnostics (Basel). 2021 Sep 28;11(10):1791. doi: 10.3390/diagnostics11101791.
To provide the quantitative volumetric data of the total lung and lobes in inspiration and expiration from healthy adults, and to explore the value of paired inspiratory-expiratory chest CT scan in pulmonary ventilatory function and further explore the influence of each lobe on ventilation.
A total of 65 adults (29 males and 36 females) with normal clinical pulmonary function test (PFT) and paired inspiratory-expiratory chest CT scan were retrospectively enrolled. The inspiratory and expiratory volumetric indexes of the total lung (TL) and 5 lobes (left upper lobe [LUL], left lower lobe [LLL], right upper lobe [RUL], right middle lobe [RML], and right lower lobe [RLL]) were obtained by Philips IntelliSpace Portal image postprocessing workstation, including inspiratory lung volume (LV), expiratory lung volume (LV), volume change (∆LV), and well-aerated lung volume (WAL, lung tissue with CT threshold between -950 and -750 HU in inspiratory scan). Spearman correlation analysis was used to explore the correlation between CT quantitative indexes of the total lung and ventilatory function indexes (including total lung capacity [TLC], residual volume [RV], and force vital capacity [FVC]). Multiple stepwise regression analysis was used to explore the influence of each lobe on ventilation.
At end-inspiratory phase, the LV was 4664.6 (4282.7, 5916.2) mL, the WAL was 4173 (3639.6, 5250.9) mL; both showed excellent correlation with TLC (LV: = 0.890, < 0.001; WAL: = 0.879, < 0.001). From multiple linear regression analysis with lobar CT indexes as variables, the LV and WAL of these two lobes, LLL and RUL, showed a significant relationship with TLC. At end-expiratory phase, the LV was 2325.2 (1969.7, 2722.5) mL with good correlation with RV ( = 0.811, < 0.001), of which the LV of RUL and RML had a significant relationship with RV. For the volumetric change within breathing, the ∆LV was 2485.6 (2169.8, 3078.1) mL with good correlation with FVC ( = 0.719, < 0.001), moreover, WAL showed a better correlation with FVC ( = 0.817, < 0.001) than that of ∆LV. Likewise, there was also a strong association between ∆LV, WAL of these two lobes (LLL and RUL), and FVC.
The quantitative indexes derived from paired inspiratory-expiratory chest CT could reflect the clinical pulmonary ventilatory function, LLL, and RUL give greater impact on ventilation. Thus, the pulmonary functional evaluation needs to be more precise and not limited to the total lung level.
提供健康成年人吸气和呼气时全肺及各肺叶的定量容积数据,探讨吸气 - 呼气胸部CT扫描对肺通气功能的评估价值,并进一步探讨各肺叶对通气的影响。
回顾性纳入65例临床肺功能测试(PFT)正常且有吸气 - 呼气胸部CT扫描配对数据的成年人(男性29例,女性36例)。通过飞利浦IntelliSpace Portal图像后处理工作站获取全肺(TL)和5个肺叶(左上叶[LUL]、左下叶[LLL]、右上叶[RUL]、右中叶[RML]和右下叶[RLL])的吸气和呼气容积指标,包括吸气肺容积(LV)、呼气肺容积(LV)、容积变化(∆LV)和通气良好肺容积(WAL,吸气扫描中CT阈值在-950至-750 HU之间的肺组织)。采用Spearman相关性分析探讨全肺CT定量指标与通气功能指标(包括肺总量[TLC]、残气量[RV]和用力肺活量[FVC])之间的相关性。采用多元逐步回归分析探讨各肺叶对通气的影响。
吸气末时,LV为4664.6(4282.7,5916.2)mL,WAL为4173(3639.6,5250.9)mL;两者与TLC均呈高度相关(LV: = 0.890, < 0.001;WAL: = 0.879, < 0.001)。以肺叶CT指标为变量进行多元线性回归分析,LLL和RUL这两个肺叶的LV和WAL与TLC呈显著相关。呼气末时,LV为2325.2(1969.7,2722.5)mL,与RV呈良好相关( = 0.811, < 0.001),其中RUL和RML的LV与RV呈显著相关。对于呼吸过程中的容积变化,∆LV为2485.6(2169.8,3078.1)mL,与FVC呈良好相关( = 0.719, < 0.001),此外,WAL与FVC的相关性优于∆LV( = 0.817, < 0.001)。同样,这两个肺叶(LLL和RUL)的∆LV、WAL与FVC之间也存在密切关联。
吸气 - 呼气胸部CT获得的定量指标可反映临床肺通气功能,LLL和RUL对通气影响较大。因此,肺功能评估需要更加精确,而不仅限于全肺水平。