Cancer Institute A national cancer institute
designated cancer center

Billy W. Loo, Jr., MD, PhD, DABR

Publication Details

  • Reproducibility of Four-dimensional Computed Tomography-based Lung Ventilation Imaging ACADEMIC RADIOLOGY Yamamoto, T., Kabus, S., von Berg, J., Lorenz, C., Chung, M. P., Hong, J. C., Loo, B. W., Keall, P. J. 2012; 19 (12): 1554-1565

    Abstract:

    A novel ventilation imaging method based on four-dimensional (4D) computed tomography (CT) has been applied to the field of radiation oncology. Understanding its reproducibility is a prerequisite for clinical applications. The purpose of this study was to quantify the reproducibility of 4D CT ventilation imaging over different days and the same session.Two ventilation images were created from repeat 4D CT scans acquired over the average time frames of 15 days for 6 lung cancer patients and 5 minutes for another 6 patients. The reproducibility was quantified using the voxel-based Spearman rank correlation coefficients for all lung voxels and Dice similarity coefficients (DSC) for the spatial overlap of segmented high-, moderate-, and low-functional lung volumes. Furthermore, the relationship between the variation in abdominal motion range as a measure of the depth of breathing and variation in ventilation was evaluated using linear regression.The voxel-based correlation between the two ventilation images was moderate on average (0.50 ± 0.15). The DSCs were also moderate for the high- (0.60 ± 0.08), moderate- (0.46 ± 0.06), and low-functional lung (0.58 ± 0.09). No patients demonstrated strong correlations. The relationship between the motion range variation and ventilation variation was found to be moderate and significant.We investigated the reproducibility of 4D CT ventilation imaging over the time frames of 15 days and 5 minutes and found that it was only moderately reproducible. Respiratory variation during 4D CT scans was found to deteriorate the reproducibility. Improvement of 4D CT imaging is necessary to increase the reproducibility of 4D CT ventilation imaging.

    View details for DOI 10.1016/j.acra.2012.07.006

    View details for Web of Science ID 000311654800016

    View details for PubMedID 22975070

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