An integrated strategy of biological and physical constraints in biological optimization for cervical carcinoma

Abstract 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 patient...

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Main Authors: Ziwei Feng, Cheng Tao, Jian Zhu, Jinhu Chen, Gang Yu, Shaohua Qin, Yong Yin, Dengwang Li
Format: Article
Language:English
Published: BMC 2017-04-01
Series:Radiation Oncology
Subjects:
Online Access:http://link.springer.com/article/10.1186/s13014-017-0784-1
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spelling doaj-6bf53c8a1e5e4ae7a55a56eb84d4b39e2020-11-24T21:09:02ZengBMCRadiation Oncology1748-717X2017-04-0112111010.1186/s13014-017-0784-1An integrated strategy of biological and physical constraints in biological optimization for cervical carcinomaZiwei Feng0Cheng Tao1Jian Zhu2Jinhu Chen3Gang Yu4Shaohua Qin5Yong Yin6Dengwang Li7Shandong Province Key Laboratory of Medical Physics and Image Processing Technology, Institute of Biomedical Sciences, School of Physics and Electronics, Shandong Normal UniversityDepartment of Radiation Oncology, Shandong Cancer Hospital and InstituteDepartment of Radiation Oncology, Shandong Cancer Hospital and InstituteDepartment of Radiation Oncology, Shandong Cancer Hospital and InstituteShandong Province Key Laboratory of Medical Physics and Image Processing Technology, Institute of Biomedical Sciences, School of Physics and Electronics, Shandong Normal UniversityShandong Province Key Laboratory of Medical Physics and Image Processing Technology, Institute of Biomedical Sciences, School of Physics and Electronics, Shandong Normal UniversityDepartment of Radiation Oncology, Shandong Cancer Hospital and InstituteShandong Province Key Laboratory of Medical Physics and Image Processing Technology, Institute of Biomedical Sciences, School of Physics and Electronics, Shandong Normal UniversityAbstract 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.http://link.springer.com/article/10.1186/s13014-017-0784-1Cervical carcinomaIntensity-modulated radiation therapyBiology optimizationPhysical optimizationTumor control probabilityNormal tissue complication probability
collection DOAJ
language English
format Article
sources DOAJ
author Ziwei Feng
Cheng Tao
Jian Zhu
Jinhu Chen
Gang Yu
Shaohua Qin
Yong Yin
Dengwang Li
spellingShingle Ziwei Feng
Cheng Tao
Jian Zhu
Jinhu Chen
Gang Yu
Shaohua Qin
Yong Yin
Dengwang Li
An integrated strategy of biological and physical constraints in biological optimization for cervical carcinoma
Radiation Oncology
Cervical carcinoma
Intensity-modulated radiation therapy
Biology optimization
Physical optimization
Tumor control probability
Normal tissue complication probability
author_facet Ziwei Feng
Cheng Tao
Jian Zhu
Jinhu Chen
Gang Yu
Shaohua Qin
Yong Yin
Dengwang Li
author_sort Ziwei Feng
title 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_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_sort integrated strategy of biological and physical constraints in biological optimization for cervical carcinoma
publisher BMC
series Radiation Oncology
issn 1748-717X
publishDate 2017-04-01
description Abstract 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.
topic Cervical carcinoma
Intensity-modulated radiation therapy
Biology optimization
Physical optimization
Tumor control probability
Normal tissue complication probability
url http://link.springer.com/article/10.1186/s13014-017-0784-1
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