Evaluation of four-dimensional computed tomography (4D-CT)-based pulmonary ventilation: The high correlation between 4D-CT ventilation and 81mKr-planar images was Evaluation of 4D-CT pulmonary ventilation found

Takayuki Kanai; Noriyuki Kadoya; Kengo Ito; Kazuma Kishi; Suguru Dobashi; Takaya Yamamoto; Rei Umezawa; Haruo Matsushita; Ken Takeda; Keiichi Jingu

doi:10.1016/j.radonc.2016.04.030

Evaluation of four-dimensional computed tomography (4D-CT)-based pulmonary ventilation: The high correlation between 4D-CT ventilation and ^81mKr-planar images was Evaluation of 4D-CT pulmonary ventilation found

Takayuki Kanai, Noriyuki Kadoya, Kengo Ito, Kazuma Kishi, Suguru Dobashi, Takaya Yamamoto, Rei Umezawa, Haruo Matsushita, Ken Takeda, Keiichi Jingu

Research output: Contribution to journal › Article › peer-review

11 Citations (Scopus)

Abstract

Purpose To evaluate four-dimensional computed tomography (4D-CT)-derived pulmonary ventilation by comparing with ^81mKr-gas ventilation (V_RI). We also proposed two methods to improve the functional accuracy of 4D-CT ventilation images and evaluated these methods. Methods and materials Eleven lung cancer patients with 4D-CT and V_RI were analyzed. Hounsfield unit-based (V_HU) and a Jacobian-based (V_Jac) 4D-CT ventilation images were calculated. They were evaluated by voxel-by-voxel spearman's rank correlation coefficient (r) between 4D-CT ventilation and V_RI images. After applying an averaging ventilation method and a slope calculating method, correlations were also calculated. Results 4D-CT ventilation showed the high correlation to V_RI (r = 0.875 with V_HU). An averaging method brought significantly higher (p = 0.012) correlations to nuclear medicine images with V_HU. The improvement was not significant (p = 0.619) with V_Jac. Slope calculating method improved the correlation with V_HU and slightly worsened the correlation with V_Jac. Conclusions The averaging method we proposed might be useful to improve 4D-CT ventilation images. We found good agreement between 4D-CT ventilation and nuclear medicine ventilation, indicating the high physiologic accuracy of 4D-CT ventilation.

Original language	English
Pages (from-to)	444-448
Number of pages	5
Journal	Radiotherapy and Oncology
Volume	119
Issue number	3
DOIs	https://doi.org/10.1016/j.radonc.2016.04.030
Publication status	Published - 2016 Jun 1

Keywords

4D-CT ventilation
Functional imaging
Kr-gas ventilation

ASJC Scopus subject areas

Hematology
Oncology
Radiology Nuclear Medicine and imaging

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.radonc.2016.04.030

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Kanai, T., Kadoya, N., Ito, K., Kishi, K., Dobashi, S., Yamamoto, T., Umezawa, R., Matsushita, H., Takeda, K., & Jingu, K. (2016). Evaluation of four-dimensional computed tomography (4D-CT)-based pulmonary ventilation: The high correlation between 4D-CT ventilation and ^81mKr-planar images was Evaluation of 4D-CT pulmonary ventilation found. Radiotherapy and Oncology, 119(3), 444-448. https://doi.org/10.1016/j.radonc.2016.04.030

Evaluation of four-dimensional computed tomography (4D-CT)-based pulmonary ventilation: The high correlation between 4D-CT ventilation and ^81mKr-planar images was Evaluation of 4D-CT pulmonary ventilation found. / Kanai, Takayuki; Kadoya, Noriyuki; Ito, Kengo et al.
In: Radiotherapy and Oncology, Vol. 119, No. 3, 01.06.2016, p. 444-448.

Research output: Contribution to journal › Article › peer-review

Kanai, T, Kadoya, N, Ito, K, Kishi, K, Dobashi, S, Yamamoto, T , Umezawa, R, Matsushita, H, Takeda, K & Jingu, K 2016, 'Evaluation of four-dimensional computed tomography (4D-CT)-based pulmonary ventilation: The high correlation between 4D-CT ventilation and ^81mKr-planar images was Evaluation of 4D-CT pulmonary ventilation found', Radiotherapy and Oncology, vol. 119, no. 3, pp. 444-448. https://doi.org/10.1016/j.radonc.2016.04.030

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title = "Evaluation of four-dimensional computed tomography (4D-CT)-based pulmonary ventilation: The high correlation between 4D-CT ventilation and 81mKr-planar images was Evaluation of 4D-CT pulmonary ventilation found",

abstract = "Purpose To evaluate four-dimensional computed tomography (4D-CT)-derived pulmonary ventilation by comparing with 81mKr-gas ventilation (VRI). We also proposed two methods to improve the functional accuracy of 4D-CT ventilation images and evaluated these methods. Methods and materials Eleven lung cancer patients with 4D-CT and VRI were analyzed. Hounsfield unit-based (VHU) and a Jacobian-based (VJac) 4D-CT ventilation images were calculated. They were evaluated by voxel-by-voxel spearman's rank correlation coefficient (r) between 4D-CT ventilation and VRI images. After applying an averaging ventilation method and a slope calculating method, correlations were also calculated. Results 4D-CT ventilation showed the high correlation to VRI (r = 0.875 with VHU). An averaging method brought significantly higher (p = 0.012) correlations to nuclear medicine images with VHU. The improvement was not significant (p = 0.619) with VJac. Slope calculating method improved the correlation with VHU and slightly worsened the correlation with VJac. Conclusions The averaging method we proposed might be useful to improve 4D-CT ventilation images. We found good agreement between 4D-CT ventilation and nuclear medicine ventilation, indicating the high physiologic accuracy of 4D-CT ventilation.",

keywords = "4D-CT ventilation, Functional imaging, Kr-gas ventilation",

author = "Takayuki Kanai and Noriyuki Kadoya and Kengo Ito and Kazuma Kishi and Suguru Dobashi and Takaya Yamamoto and Rei Umezawa and Haruo Matsushita and Ken Takeda and Keiichi Jingu",

note = "Funding Information: This work was supported by Japan Society for the Promotion of Science-in-Aid for Young Scientists (B) (24791268) and Tohoku University grant of clinical translational research for young investigator. Publisher Copyright: {\textcopyright} 2016 Elsevier Ireland Ltd",

year = "2016",

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doi = "10.1016/j.radonc.2016.04.030",

language = "English",

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T1 - Evaluation of four-dimensional computed tomography (4D-CT)-based pulmonary ventilation

T2 - The high correlation between 4D-CT ventilation and 81mKr-planar images was Evaluation of 4D-CT pulmonary ventilation found

AU - Kanai, Takayuki

AU - Kadoya, Noriyuki

AU - Ito, Kengo

AU - Kishi, Kazuma

AU - Dobashi, Suguru

AU - Yamamoto, Takaya

AU - Umezawa, Rei

AU - Matsushita, Haruo

AU - Takeda, Ken

AU - Jingu, Keiichi

N1 - Funding Information: This work was supported by Japan Society for the Promotion of Science-in-Aid for Young Scientists (B) (24791268) and Tohoku University grant of clinical translational research for young investigator. Publisher Copyright: © 2016 Elsevier Ireland Ltd

PY - 2016/6/1

Y1 - 2016/6/1

N2 - Purpose To evaluate four-dimensional computed tomography (4D-CT)-derived pulmonary ventilation by comparing with 81mKr-gas ventilation (VRI). We also proposed two methods to improve the functional accuracy of 4D-CT ventilation images and evaluated these methods. Methods and materials Eleven lung cancer patients with 4D-CT and VRI were analyzed. Hounsfield unit-based (VHU) and a Jacobian-based (VJac) 4D-CT ventilation images were calculated. They were evaluated by voxel-by-voxel spearman's rank correlation coefficient (r) between 4D-CT ventilation and VRI images. After applying an averaging ventilation method and a slope calculating method, correlations were also calculated. Results 4D-CT ventilation showed the high correlation to VRI (r = 0.875 with VHU). An averaging method brought significantly higher (p = 0.012) correlations to nuclear medicine images with VHU. The improvement was not significant (p = 0.619) with VJac. Slope calculating method improved the correlation with VHU and slightly worsened the correlation with VJac. Conclusions The averaging method we proposed might be useful to improve 4D-CT ventilation images. We found good agreement between 4D-CT ventilation and nuclear medicine ventilation, indicating the high physiologic accuracy of 4D-CT ventilation.

AB - Purpose To evaluate four-dimensional computed tomography (4D-CT)-derived pulmonary ventilation by comparing with 81mKr-gas ventilation (VRI). We also proposed two methods to improve the functional accuracy of 4D-CT ventilation images and evaluated these methods. Methods and materials Eleven lung cancer patients with 4D-CT and VRI were analyzed. Hounsfield unit-based (VHU) and a Jacobian-based (VJac) 4D-CT ventilation images were calculated. They were evaluated by voxel-by-voxel spearman's rank correlation coefficient (r) between 4D-CT ventilation and VRI images. After applying an averaging ventilation method and a slope calculating method, correlations were also calculated. Results 4D-CT ventilation showed the high correlation to VRI (r = 0.875 with VHU). An averaging method brought significantly higher (p = 0.012) correlations to nuclear medicine images with VHU. The improvement was not significant (p = 0.619) with VJac. Slope calculating method improved the correlation with VHU and slightly worsened the correlation with VJac. Conclusions The averaging method we proposed might be useful to improve 4D-CT ventilation images. We found good agreement between 4D-CT ventilation and nuclear medicine ventilation, indicating the high physiologic accuracy of 4D-CT ventilation.

KW - 4D-CT ventilation

KW - Functional imaging

KW - Kr-gas ventilation

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