Pulmonary ventilation imaging based on 4-dimensional computed tomography: comparison with pulmonary function tests and SPECT ventilation images.

Pulmonary ventilation imaging based on 4-dimensional computed tomography: comparison with pulmonary function tests and SPECT ventilation images.
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DOI:
10.1016/j.ijrobp.2014.06.006
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发表时间:
2014-10-01
期刊:
International journal of radiation oncology, biology, physics
影响因子:
--
通讯作者:
Keall PJ
Keall PJ
中科院分区:
其他
文献类型:
--
作者:
Yamamoto T;Kabus S;Lorenz C;Mittra E;Hong JC;Chung M;Eclov N;To J;Diehn M;Loo BW Jr;Keall PJ

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Four-dimensional (4D) computed tomography (CT)-based pulmonary ventilation imaging is an emerging functional imaging modality. The purpose of this study was to investigate the physiological significance of 4D-CT ventilation imaging by comparing with pulmonary function test (PFT) measurements and single-photon emission CT (SPECT) ventilation images, which are the clinical references for global and regional lung function, respectively. In an institutional review board-approved prospective clinical trial, 4D-CT imaging and PFT and/or SPECT ventilation imaging were performed for thoracic cancer patients. Regional ventilation (V4DCT) was calculated by deformable image registration of 4D-CT images and quantitative analysis for regional volume change. V4DCT defect parameters were compared with the PFT measurements (forced expiratory volume in 1 s (FEV1) (% predicted) and FEV1/forced vital capacity (FVC) (%)). V4DCT was also compared with SPECT ventilation (VSPECT) to: (1) test whether V4DCT in VSPECT defect regions is significantly lower than in non-defect regions using the two-tailed t-test; (2) quantify the spatial overlap between V4DCT and VSPECT defect regions with the Dice similarity coefficient (DSC); and (3) test ventral-to-dorsal gradients using the two-tailed t-test. Out of 21 patients enrolled onto the study, 18 patients, for which 4D-CT and either PFT or SPECT was acquired, were included in the analysis. V4DCT defect parameters were found to have significant, moderate correlations with the PFT measurements. For example, defect volume increased significantly with decreasing FEV1/FVC (R=−0.65, p<0.01). V4DCT in VSPECT defect regions was significantly lower than in non-defect regions (mean 0.049 vs. 0.076, p<0.01). The average DSCs for the spatial overlap with SPECT ventilation defect regions were only moderate ( 0.39±0.11). Furthermore, ventral-to-dorsal gradients of V4DCT were strong ( R2=0.69, p=0.08), which was similar to VSPECT (R2=0.96, p<0.01). An 18-patient study demonstrated significant correlations between 4D-CT ventilation and PFT measurements as well as SPECT ventilation, providing evidence towards the validation of 4D-CT ventilation imaging.
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