Cargando…
An integrated strategy of biological and physical constraints in biological optimization for cervical carcinoma
BACKGROUND: For cervical carcinoma cases, this study aimed to evaluate the quality of intensity-modulated radiation therapy (IMRT) plans optimized by biological constraints. Furthermore, a new integrated strategy in biological planning module was proposed and verified. METHODS: Twenty patients of ad...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5379684/ https://www.ncbi.nlm.nih.gov/pubmed/28376900 http://dx.doi.org/10.1186/s13014-017-0784-1 |
_version_ | 1782519655050510336 |
---|---|
author | Feng, Ziwei Tao, Cheng Zhu, Jian Chen, Jinhu Yu, Gang Qin, Shaohua Yin, Yong Li, Dengwang |
author_facet | Feng, Ziwei Tao, Cheng Zhu, Jian Chen, Jinhu Yu, Gang Qin, Shaohua Yin, Yong Li, Dengwang |
author_sort | Feng, Ziwei |
collection | PubMed |
description | BACKGROUND: For cervical carcinoma cases, this study aimed to evaluate the quality of intensity-modulated radiation therapy (IMRT) plans optimized by biological constraints. Furthermore, a new integrated strategy in biological planning module was proposed and verified. METHODS: Twenty patients of advanced stage cervical carcinoma were enrolled in this study. For each patient, dose volume optimization (DVO), biological model optimization (BMO) and integrated strategy optimization (ISO) plans were created using same treatment parameters. Different biological models were also used for organ at risk (OAR) in BMO plans, which include the LKB and Poisson models. Next, BMO plans were compared with their corresponding DVO plans, in order to evaluate BMO plan quality. ISO plans were also compared with DVO and BMO plans, in order to verify the performance of the integrated strategy. RESULTS: BMO plans produced slightly inhomogeneity and less coverage of planning target volume (PTV) (V95=96.79, HI = 0.10: p < 0.01). However, the tumor control probability (TCP) value, both from DVO and BMO plans, were comparable. For the OARs, BMO plans produced lower normal tissue complication probability (NTCP) of rectum (NTCP = 0.11) and bladder (NTCP = 0.14) than in the corresponding DVO plans (NTCP = 0.19 and 0.18 for rectum and bladder; p < 0.01 for rectum and p = 0.03 for bladder). V95, D98, CI and HI values that were produced by ISO plans (V95 = 98.31, D98 = 54.18Gy, CI = 0.76, HI = 0.09) were greatly better than BMO plans (V95 = 96.79, D98 = 53.42Gy, CI = 0.71, HI = 0.10) with significant differences. Furthermore, ISO plans produced lower NTCP values of rectum (NTCP = 0.14) and bladder (NTCP = 0.16) than DVO plans (NTCP = 0.19 and 0.18 for rectum and bladder, respectively) with significant differences. CONCLUSIONS: BMO plans produced lower NTCP values of OARs compared to DVO plans for cervical carcinoma cases, and resulted in slightly less target coverage and homogeneity. The integrated strategy, proposed in this study, could improve the coverage, conformity and homogeneity of PTV greater than the BMO plans, as well as reduce the NTCP values of OARs greater than the DVO plans. |
format | Online Article Text |
id | pubmed-5379684 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-53796842017-04-07 An integrated strategy of biological and physical constraints in biological optimization for cervical carcinoma Feng, Ziwei Tao, Cheng Zhu, Jian Chen, Jinhu Yu, Gang Qin, Shaohua Yin, Yong Li, Dengwang Radiat Oncol Research BACKGROUND: For cervical carcinoma cases, this study aimed to evaluate the quality of intensity-modulated radiation therapy (IMRT) plans optimized by biological constraints. Furthermore, a new integrated strategy in biological planning module was proposed and verified. METHODS: Twenty patients of advanced stage cervical carcinoma were enrolled in this study. For each patient, dose volume optimization (DVO), biological model optimization (BMO) and integrated strategy optimization (ISO) plans were created using same treatment parameters. Different biological models were also used for organ at risk (OAR) in BMO plans, which include the LKB and Poisson models. Next, BMO plans were compared with their corresponding DVO plans, in order to evaluate BMO plan quality. ISO plans were also compared with DVO and BMO plans, in order to verify the performance of the integrated strategy. RESULTS: BMO plans produced slightly inhomogeneity and less coverage of planning target volume (PTV) (V95=96.79, HI = 0.10: p < 0.01). However, the tumor control probability (TCP) value, both from DVO and BMO plans, were comparable. For the OARs, BMO plans produced lower normal tissue complication probability (NTCP) of rectum (NTCP = 0.11) and bladder (NTCP = 0.14) than in the corresponding DVO plans (NTCP = 0.19 and 0.18 for rectum and bladder; p < 0.01 for rectum and p = 0.03 for bladder). V95, D98, CI and HI values that were produced by ISO plans (V95 = 98.31, D98 = 54.18Gy, CI = 0.76, HI = 0.09) were greatly better than BMO plans (V95 = 96.79, D98 = 53.42Gy, CI = 0.71, HI = 0.10) with significant differences. Furthermore, ISO plans produced lower NTCP values of rectum (NTCP = 0.14) and bladder (NTCP = 0.16) than DVO plans (NTCP = 0.19 and 0.18 for rectum and bladder, respectively) with significant differences. CONCLUSIONS: BMO plans produced lower NTCP values of OARs compared to DVO plans for cervical carcinoma cases, and resulted in slightly less target coverage and homogeneity. The integrated strategy, proposed in this study, could improve the coverage, conformity and homogeneity of PTV greater than the BMO plans, as well as reduce the NTCP values of OARs greater than the DVO plans. BioMed Central 2017-04-04 /pmc/articles/PMC5379684/ /pubmed/28376900 http://dx.doi.org/10.1186/s13014-017-0784-1 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Feng, Ziwei Tao, Cheng Zhu, Jian Chen, Jinhu Yu, Gang Qin, Shaohua Yin, Yong Li, Dengwang An integrated strategy of biological and physical constraints in biological optimization for cervical carcinoma |
title | An integrated strategy of biological and physical constraints in biological optimization for cervical carcinoma |
title_full | An integrated strategy of biological and physical constraints in biological optimization for cervical carcinoma |
title_fullStr | An integrated strategy of biological and physical constraints in biological optimization for cervical carcinoma |
title_full_unstemmed | An integrated strategy of biological and physical constraints in biological optimization for cervical carcinoma |
title_short | An integrated strategy of biological and physical constraints in biological optimization for cervical carcinoma |
title_sort | integrated strategy of biological and physical constraints in biological optimization for cervical carcinoma |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5379684/ https://www.ncbi.nlm.nih.gov/pubmed/28376900 http://dx.doi.org/10.1186/s13014-017-0784-1 |
work_keys_str_mv | AT fengziwei anintegratedstrategyofbiologicalandphysicalconstraintsinbiologicaloptimizationforcervicalcarcinoma AT taocheng anintegratedstrategyofbiologicalandphysicalconstraintsinbiologicaloptimizationforcervicalcarcinoma AT zhujian anintegratedstrategyofbiologicalandphysicalconstraintsinbiologicaloptimizationforcervicalcarcinoma AT chenjinhu anintegratedstrategyofbiologicalandphysicalconstraintsinbiologicaloptimizationforcervicalcarcinoma AT yugang anintegratedstrategyofbiologicalandphysicalconstraintsinbiologicaloptimizationforcervicalcarcinoma AT qinshaohua anintegratedstrategyofbiologicalandphysicalconstraintsinbiologicaloptimizationforcervicalcarcinoma AT yinyong anintegratedstrategyofbiologicalandphysicalconstraintsinbiologicaloptimizationforcervicalcarcinoma AT lidengwang anintegratedstrategyofbiologicalandphysicalconstraintsinbiologicaloptimizationforcervicalcarcinoma AT fengziwei integratedstrategyofbiologicalandphysicalconstraintsinbiologicaloptimizationforcervicalcarcinoma AT taocheng integratedstrategyofbiologicalandphysicalconstraintsinbiologicaloptimizationforcervicalcarcinoma AT zhujian integratedstrategyofbiologicalandphysicalconstraintsinbiologicaloptimizationforcervicalcarcinoma AT chenjinhu integratedstrategyofbiologicalandphysicalconstraintsinbiologicaloptimizationforcervicalcarcinoma AT yugang integratedstrategyofbiologicalandphysicalconstraintsinbiologicaloptimizationforcervicalcarcinoma AT qinshaohua integratedstrategyofbiologicalandphysicalconstraintsinbiologicaloptimizationforcervicalcarcinoma AT yinyong integratedstrategyofbiologicalandphysicalconstraintsinbiologicaloptimizationforcervicalcarcinoma AT lidengwang integratedstrategyofbiologicalandphysicalconstraintsinbiologicaloptimizationforcervicalcarcinoma |