How Does the Gradient Measure of the Lung SBRT Treatment Plan Depend on the Tumor Volume and Shape?
PurposeGradient measure (GM) is a critical index related to normal tissue sparing in radiosurgery. This study aims to describe the dependence of GM on target volume and target shape for lung stereotactic body radiation therapy (SBRT) treatment plans.MethodsA total of 307 peripheral and 119 central l...
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Frontiers Media S.A.
2021
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oai:doaj.org-article:1269c59aa5db49e7b599b91096a5df3f2021-11-15T06:37:28ZHow Does the Gradient Measure of the Lung SBRT Treatment Plan Depend on the Tumor Volume and Shape?2234-943X10.3389/fonc.2021.781302https://doaj.org/article/1269c59aa5db49e7b599b91096a5df3f2021-11-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fonc.2021.781302/fullhttps://doaj.org/toc/2234-943XPurposeGradient measure (GM) is a critical index related to normal tissue sparing in radiosurgery. This study aims to describe the dependence of GM on target volume and target shape for lung stereotactic body radiation therapy (SBRT) treatment plans.MethodsA total of 307 peripheral and 119 central lung SBRT treatment plans were enrolled for this study. A least-squares regression was used for data analysis. First, the equations with different functional forms were established to determine the dependence of GM on a univariaty (VP or Sp) and bivariaty (VP and Sp), respectively. Then, the correlation coefficients and p-values of variables for all equations were compared and analyzed to determine the dependence of GM on PTV volume (VP) and sphericity (Sp).ResultsThe power equations had the highest coefficient of determination (R2) in the dependence results of GM on univariate VP. The equations were GM=0.674VP0.178 and GM=0.660VP0.185 for peripheral and central lesions, respectively. On the other hand, the R2 of all functional forms were less than 0.25 when the relationship of GM versus univariate Sp was analyzed. Similarly, the power equation also obtained the highest R2 in bivariaty VP and Sp analysis, whether for central or peripheral. However, the R2 of the bivariate equations were not improved compared with those of univariate equations. Moreover, the p-values of the variable Sp were greater than 0.05.ConclusionsThe GM of the lung SBRT plan is shape-independent and volume-dependent. The dependence of GM on PTV volume for peripheral and central lung cancer can be described by two different power equations. The results of this study can be used as a potential tool to assist dosimetric quality control during the radiosurgery process.Yanhua DuanYang LinHao WangBodong KangAihui FengKui MaHua ChenYing HuangHengle GuYan ShaoTao ZhouQing KongZhiyong XuFrontiers Media S.A.articleSBRTlung cancerradiotherapygradient measurevolumeshapeNeoplasms. Tumors. Oncology. Including cancer and carcinogensRC254-282ENFrontiers in Oncology, Vol 11 (2021) |
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SBRT lung cancer radiotherapy gradient measure volume shape Neoplasms. Tumors. Oncology. Including cancer and carcinogens RC254-282 |
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SBRT lung cancer radiotherapy gradient measure volume shape Neoplasms. Tumors. Oncology. Including cancer and carcinogens RC254-282 Yanhua Duan Yang Lin Hao Wang Bodong Kang Aihui Feng Kui Ma Hua Chen Ying Huang Hengle Gu Yan Shao Tao Zhou Qing Kong Zhiyong Xu How Does the Gradient Measure of the Lung SBRT Treatment Plan Depend on the Tumor Volume and Shape? |
| description |
PurposeGradient measure (GM) is a critical index related to normal tissue sparing in radiosurgery. This study aims to describe the dependence of GM on target volume and target shape for lung stereotactic body radiation therapy (SBRT) treatment plans.MethodsA total of 307 peripheral and 119 central lung SBRT treatment plans were enrolled for this study. A least-squares regression was used for data analysis. First, the equations with different functional forms were established to determine the dependence of GM on a univariaty (VP or Sp) and bivariaty (VP and Sp), respectively. Then, the correlation coefficients and p-values of variables for all equations were compared and analyzed to determine the dependence of GM on PTV volume (VP) and sphericity (Sp).ResultsThe power equations had the highest coefficient of determination (R2) in the dependence results of GM on univariate VP. The equations were GM=0.674VP0.178 and GM=0.660VP0.185 for peripheral and central lesions, respectively. On the other hand, the R2 of all functional forms were less than 0.25 when the relationship of GM versus univariate Sp was analyzed. Similarly, the power equation also obtained the highest R2 in bivariaty VP and Sp analysis, whether for central or peripheral. However, the R2 of the bivariate equations were not improved compared with those of univariate equations. Moreover, the p-values of the variable Sp were greater than 0.05.ConclusionsThe GM of the lung SBRT plan is shape-independent and volume-dependent. The dependence of GM on PTV volume for peripheral and central lung cancer can be described by two different power equations. The results of this study can be used as a potential tool to assist dosimetric quality control during the radiosurgery process. |
| format |
article |
| author |
Yanhua Duan Yang Lin Hao Wang Bodong Kang Aihui Feng Kui Ma Hua Chen Ying Huang Hengle Gu Yan Shao Tao Zhou Qing Kong Zhiyong Xu |
| author_facet |
Yanhua Duan Yang Lin Hao Wang Bodong Kang Aihui Feng Kui Ma Hua Chen Ying Huang Hengle Gu Yan Shao Tao Zhou Qing Kong Zhiyong Xu |
| author_sort |
Yanhua Duan |
| title |
How Does the Gradient Measure of the Lung SBRT Treatment Plan Depend on the Tumor Volume and Shape? |
| title_short |
How Does the Gradient Measure of the Lung SBRT Treatment Plan Depend on the Tumor Volume and Shape? |
| title_full |
How Does the Gradient Measure of the Lung SBRT Treatment Plan Depend on the Tumor Volume and Shape? |
| title_fullStr |
How Does the Gradient Measure of the Lung SBRT Treatment Plan Depend on the Tumor Volume and Shape? |
| title_full_unstemmed |
How Does the Gradient Measure of the Lung SBRT Treatment Plan Depend on the Tumor Volume and Shape? |
| title_sort |
how does the gradient measure of the lung sbrt treatment plan depend on the tumor volume and shape? |
| publisher |
Frontiers Media S.A. |
| publishDate |
2021 |
| url |
https://doaj.org/article/1269c59aa5db49e7b599b91096a5df3f |
| work_keys_str_mv |
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