Cargando…

How Does the Gradient Measure of the Lung SBRT Treatment Plan Depend on the Tumor Volume and Shape?

PURPOSE: Gradient 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. METHODS: A total of 307 peripheral and 119 cent...

Descripción completa

Detalles Bibliográficos
Autores principales: Duan, Yanhua, Lin, Yang, Wang, Hao, Kang, Bodong, Feng, Aihui, Ma, Kui, Chen, Hua, Huang, Ying, Gu, Hengle, Shao, Yan, Zhou, Tao, Kong, Qing, Xu, Zhiyong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8636139/
https://www.ncbi.nlm.nih.gov/pubmed/34869034
http://dx.doi.org/10.3389/fonc.2021.781302
_version_ 1784608475193540608
author Duan, Yanhua
Lin, Yang
Wang, Hao
Kang, Bodong
Feng, Aihui
Ma, Kui
Chen, Hua
Huang, Ying
Gu, Hengle
Shao, Yan
Zhou, Tao
Kong, Qing
Xu, Zhiyong
author_facet Duan, Yanhua
Lin, Yang
Wang, Hao
Kang, Bodong
Feng, Aihui
Ma, Kui
Chen, Hua
Huang, Ying
Gu, Hengle
Shao, Yan
Zhou, Tao
Kong, Qing
Xu, Zhiyong
author_sort Duan, Yanhua
collection PubMed
description PURPOSE: Gradient 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. METHODS: A 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 (V(P) or Sp) and bivariaty (V(P) 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). RESULTS: The power equations had the highest coefficient of determination (R(2)) in the dependence results of GM on univariate V(P). The equations were [Formula: see text] and [Formula: see text] for peripheral and central lesions, respectively. On the other hand, the R(2) 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 R(2) in bivariaty V(P) and Sp analysis, whether for central or peripheral. However, the R(2) 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. CONCLUSIONS: The 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 Online
Article
Text
id pubmed-8636139
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-86361392021-12-02 How Does the Gradient Measure of the Lung SBRT Treatment Plan Depend on the Tumor Volume and Shape? Duan, Yanhua Lin, Yang Wang, Hao Kang, Bodong Feng, Aihui Ma, Kui Chen, Hua Huang, Ying Gu, Hengle Shao, Yan Zhou, Tao Kong, Qing Xu, Zhiyong Front Oncol Oncology PURPOSE: Gradient 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. METHODS: A 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 (V(P) or Sp) and bivariaty (V(P) 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). RESULTS: The power equations had the highest coefficient of determination (R(2)) in the dependence results of GM on univariate V(P). The equations were [Formula: see text] and [Formula: see text] for peripheral and central lesions, respectively. On the other hand, the R(2) 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 R(2) in bivariaty V(P) and Sp analysis, whether for central or peripheral. However, the R(2) 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. CONCLUSIONS: The 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. Frontiers Media S.A. 2021-11-15 /pmc/articles/PMC8636139/ /pubmed/34869034 http://dx.doi.org/10.3389/fonc.2021.781302 Text en Copyright © 2021 Duan, Lin, Wang, Kang, Feng, Ma, Chen, Huang, Gu, Shao, Zhou, Kong and Xu https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Oncology
Duan, Yanhua
Lin, Yang
Wang, Hao
Kang, Bodong
Feng, Aihui
Ma, Kui
Chen, Hua
Huang, Ying
Gu, Hengle
Shao, Yan
Zhou, Tao
Kong, Qing
Xu, Zhiyong
How Does the Gradient Measure of the Lung SBRT Treatment Plan Depend on the Tumor Volume and Shape?
title 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_short 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?
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8636139/
https://www.ncbi.nlm.nih.gov/pubmed/34869034
http://dx.doi.org/10.3389/fonc.2021.781302
work_keys_str_mv AT duanyanhua howdoesthegradientmeasureofthelungsbrttreatmentplandependonthetumorvolumeandshape
AT linyang howdoesthegradientmeasureofthelungsbrttreatmentplandependonthetumorvolumeandshape
AT wanghao howdoesthegradientmeasureofthelungsbrttreatmentplandependonthetumorvolumeandshape
AT kangbodong howdoesthegradientmeasureofthelungsbrttreatmentplandependonthetumorvolumeandshape
AT fengaihui howdoesthegradientmeasureofthelungsbrttreatmentplandependonthetumorvolumeandshape
AT makui howdoesthegradientmeasureofthelungsbrttreatmentplandependonthetumorvolumeandshape
AT chenhua howdoesthegradientmeasureofthelungsbrttreatmentplandependonthetumorvolumeandshape
AT huangying howdoesthegradientmeasureofthelungsbrttreatmentplandependonthetumorvolumeandshape
AT guhengle howdoesthegradientmeasureofthelungsbrttreatmentplandependonthetumorvolumeandshape
AT shaoyan howdoesthegradientmeasureofthelungsbrttreatmentplandependonthetumorvolumeandshape
AT zhoutao howdoesthegradientmeasureofthelungsbrttreatmentplandependonthetumorvolumeandshape
AT kongqing howdoesthegradientmeasureofthelungsbrttreatmentplandependonthetumorvolumeandshape
AT xuzhiyong howdoesthegradientmeasureofthelungsbrttreatmentplandependonthetumorvolumeandshape