金井　貴幸
   Department   School of Medicine(Tokyo Women's Medical University Hospital), School of Medicine
   Position   Assistant Professor
Article types Original article
Language English
Peer review Peer reviewed
Title Evaluation of four-dimensional computed tomography (4D-CT)-based pulmonary ventilation: The high correlation between 4D-CT ventilation and (81m)Kr-planar images was found.
Journal Formal name：Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology
Abbreviation：Radiother Oncol
ISSN code：18790887/01678140
Domestic / ForeginForegin
Volume, Issue, Page 119(3),pp.444-8
Author and coauthor Kanai Takayuki, Kadoya Noriyuki, Ito Kengo, Kishi Kazuma, Dobashi Suguru, Yamamoto Takaya, Umezawa Rei, Matsushita Haruo, Takeda Ken, Jingu Keiichi
Authorship Lead author
Publication date 2016/06
Summary PURPOSE:To evaluate four-dimensional computed tomography (4D-CT)-derived pulmonary ventilation by comparing with (81m)Kr-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.
DOI 10.1016/j.radonc.2016.04.030
PMID 27165614