Cargando…

Gross tumor volume dependency on phase sorting methods of four-dimensional computed tomography images for lung cancer

PURPOSE: To see the gross tumor volume (GTV) dependency according to the phase selection and reconstruction methods, we measured and analyzed the changes of tumor volume and motion at each phase in 20 cases with lung cancer patients who underwent image-guided radiotherapy. MATERIALS AND METHODS: We...

Descripción completa

Detalles Bibliográficos
Autores principales: Lee, Soo Yong, Lim, Sangwook, Ma, Sun Young, Yu, Jesang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Korean Society for Radiation Oncology 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5647759/
https://www.ncbi.nlm.nih.gov/pubmed/29037025
http://dx.doi.org/10.3857/roj.2017.00444
_version_ 1783272298760896512
author Lee, Soo Yong
Lim, Sangwook
Ma, Sun Young
Yu, Jesang
author_facet Lee, Soo Yong
Lim, Sangwook
Ma, Sun Young
Yu, Jesang
author_sort Lee, Soo Yong
collection PubMed
description PURPOSE: To see the gross tumor volume (GTV) dependency according to the phase selection and reconstruction methods, we measured and analyzed the changes of tumor volume and motion at each phase in 20 cases with lung cancer patients who underwent image-guided radiotherapy. MATERIALS AND METHODS: We retrospectively analyzed four-dimensional computed tomography (4D-CT) images in 20 cases of 19 patients who underwent image-guided radiotherapy. The 4D-CT images were reconstructed by the maximum intensity projection (MIP) and the minimum intensity projection (Min-IP) method after sorting phase as 40%–60%, 30%–70%, and 0%–90%. We analyzed the relationship between the range of motion and the change of GTV according to the reconstruction method. RESULTS: The motion ranges of GTVs are statistically significant only for the tumor motion in craniocaudal direction. The discrepancies of GTV volume and motion between MIP and Min-IP increased rapidly as the wider ranges of duty cycles are selected. CONCLUSION: As narrow as possible duty cycle such as 40%–60% and MIP reconstruction was suitable for lung cancer if the respiration was stable. Selecting the reconstruction methods and duty cycle is important for small size and for large motion range tumors.
format Online
Article
Text
id pubmed-5647759
institution National Center for Biotechnology Information
language English
publishDate 2017
publisher The Korean Society for Radiation Oncology
record_format MEDLINE/PubMed
spelling pubmed-56477592017-10-19 Gross tumor volume dependency on phase sorting methods of four-dimensional computed tomography images for lung cancer Lee, Soo Yong Lim, Sangwook Ma, Sun Young Yu, Jesang Radiat Oncol J Original Article PURPOSE: To see the gross tumor volume (GTV) dependency according to the phase selection and reconstruction methods, we measured and analyzed the changes of tumor volume and motion at each phase in 20 cases with lung cancer patients who underwent image-guided radiotherapy. MATERIALS AND METHODS: We retrospectively analyzed four-dimensional computed tomography (4D-CT) images in 20 cases of 19 patients who underwent image-guided radiotherapy. The 4D-CT images were reconstructed by the maximum intensity projection (MIP) and the minimum intensity projection (Min-IP) method after sorting phase as 40%–60%, 30%–70%, and 0%–90%. We analyzed the relationship between the range of motion and the change of GTV according to the reconstruction method. RESULTS: The motion ranges of GTVs are statistically significant only for the tumor motion in craniocaudal direction. The discrepancies of GTV volume and motion between MIP and Min-IP increased rapidly as the wider ranges of duty cycles are selected. CONCLUSION: As narrow as possible duty cycle such as 40%–60% and MIP reconstruction was suitable for lung cancer if the respiration was stable. Selecting the reconstruction methods and duty cycle is important for small size and for large motion range tumors. The Korean Society for Radiation Oncology 2017-09 2017-09-29 /pmc/articles/PMC5647759/ /pubmed/29037025 http://dx.doi.org/10.3857/roj.2017.00444 Text en Copyright © 2017. The Korean Society for Radiation Oncology This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/ (http://creativecommons.org/licenses/by-nc/4.0) ) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Lee, Soo Yong
Lim, Sangwook
Ma, Sun Young
Yu, Jesang
Gross tumor volume dependency on phase sorting methods of four-dimensional computed tomography images for lung cancer
title Gross tumor volume dependency on phase sorting methods of four-dimensional computed tomography images for lung cancer
title_full Gross tumor volume dependency on phase sorting methods of four-dimensional computed tomography images for lung cancer
title_fullStr Gross tumor volume dependency on phase sorting methods of four-dimensional computed tomography images for lung cancer
title_full_unstemmed Gross tumor volume dependency on phase sorting methods of four-dimensional computed tomography images for lung cancer
title_short Gross tumor volume dependency on phase sorting methods of four-dimensional computed tomography images for lung cancer
title_sort gross tumor volume dependency on phase sorting methods of four-dimensional computed tomography images for lung cancer
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5647759/
https://www.ncbi.nlm.nih.gov/pubmed/29037025
http://dx.doi.org/10.3857/roj.2017.00444
work_keys_str_mv AT leesooyong grosstumorvolumedependencyonphasesortingmethodsoffourdimensionalcomputedtomographyimagesforlungcancer
AT limsangwook grosstumorvolumedependencyonphasesortingmethodsoffourdimensionalcomputedtomographyimagesforlungcancer
AT masunyoung grosstumorvolumedependencyonphasesortingmethodsoffourdimensionalcomputedtomographyimagesforlungcancer
AT yujesang grosstumorvolumedependencyonphasesortingmethodsoffourdimensionalcomputedtomographyimagesforlungcancer