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IMRT treatment plans and functional planning with functional lung imaging from 4D-CT for thoracic cancer patients

BACKGROUND AND PURPOSE: Currently, the inhomogeneity of the pulmonary function is not considered when treatment plans are generated in thoracic cancer radiotherapy. This study evaluates the dose of treatment plans on highly-functional volumes and performs functional treatment planning by incorporati...

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Autores principales: Huang, Tzung-Chi, Hsiao, Chien-Yi, Chien, Chun-Ru, Liang, Ji-An, Shih, Tzu-Ching, Zhang, Geoffrey G
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3552773/
https://www.ncbi.nlm.nih.gov/pubmed/23281734
http://dx.doi.org/10.1186/1748-717X-8-3
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author Huang, Tzung-Chi
Hsiao, Chien-Yi
Chien, Chun-Ru
Liang, Ji-An
Shih, Tzu-Ching
Zhang, Geoffrey G
author_facet Huang, Tzung-Chi
Hsiao, Chien-Yi
Chien, Chun-Ru
Liang, Ji-An
Shih, Tzu-Ching
Zhang, Geoffrey G
author_sort Huang, Tzung-Chi
collection PubMed
description BACKGROUND AND PURPOSE: Currently, the inhomogeneity of the pulmonary function is not considered when treatment plans are generated in thoracic cancer radiotherapy. This study evaluates the dose of treatment plans on highly-functional volumes and performs functional treatment planning by incorporation of ventilation data from 4D-CT. MATERIALS AND METHODS: Eleven patients were included in this retrospective study. Ventilation was calculated using 4D-CT. Two treatment plans were generated for each case, the first one without the incorporation of the ventilation and the second with it. The dose of the first plans was overlapped with the ventilation and analyzed. Highly-functional regions were avoided in the second treatment plans. RESULTS: For small targets in the first plans (PTV < 400 cc, 6 cases), all V5, V20 and the mean lung dose values for the highly-functional regions were lower than that of the total lung. For large targets, two out of five cases had higher V5 and V20 values for the highly-functional regions. All the second plans were within constraints. CONCLUSION: Radiation treatments affect functional lung more seriously in large tumor cases. With compromise of dose to other critical organs, functional treatment planning to reduce dose in highly-functional lung volumes can be achieved
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spelling pubmed-35527732013-01-28 IMRT treatment plans and functional planning with functional lung imaging from 4D-CT for thoracic cancer patients Huang, Tzung-Chi Hsiao, Chien-Yi Chien, Chun-Ru Liang, Ji-An Shih, Tzu-Ching Zhang, Geoffrey G Radiat Oncol Research BACKGROUND AND PURPOSE: Currently, the inhomogeneity of the pulmonary function is not considered when treatment plans are generated in thoracic cancer radiotherapy. This study evaluates the dose of treatment plans on highly-functional volumes and performs functional treatment planning by incorporation of ventilation data from 4D-CT. MATERIALS AND METHODS: Eleven patients were included in this retrospective study. Ventilation was calculated using 4D-CT. Two treatment plans were generated for each case, the first one without the incorporation of the ventilation and the second with it. The dose of the first plans was overlapped with the ventilation and analyzed. Highly-functional regions were avoided in the second treatment plans. RESULTS: For small targets in the first plans (PTV < 400 cc, 6 cases), all V5, V20 and the mean lung dose values for the highly-functional regions were lower than that of the total lung. For large targets, two out of five cases had higher V5 and V20 values for the highly-functional regions. All the second plans were within constraints. CONCLUSION: Radiation treatments affect functional lung more seriously in large tumor cases. With compromise of dose to other critical organs, functional treatment planning to reduce dose in highly-functional lung volumes can be achieved BioMed Central 2013-01-02 /pmc/articles/PMC3552773/ /pubmed/23281734 http://dx.doi.org/10.1186/1748-717X-8-3 Text en Copyright ©2013 Huang et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Huang, Tzung-Chi
Hsiao, Chien-Yi
Chien, Chun-Ru
Liang, Ji-An
Shih, Tzu-Ching
Zhang, Geoffrey G
IMRT treatment plans and functional planning with functional lung imaging from 4D-CT for thoracic cancer patients
title IMRT treatment plans and functional planning with functional lung imaging from 4D-CT for thoracic cancer patients
title_full IMRT treatment plans and functional planning with functional lung imaging from 4D-CT for thoracic cancer patients
title_fullStr IMRT treatment plans and functional planning with functional lung imaging from 4D-CT for thoracic cancer patients
title_full_unstemmed IMRT treatment plans and functional planning with functional lung imaging from 4D-CT for thoracic cancer patients
title_short IMRT treatment plans and functional planning with functional lung imaging from 4D-CT for thoracic cancer patients
title_sort imrt treatment plans and functional planning with functional lung imaging from 4d-ct for thoracic cancer patients
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3552773/
https://www.ncbi.nlm.nih.gov/pubmed/23281734
http://dx.doi.org/10.1186/1748-717X-8-3
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