An Inverse Dose Optimization Algorithm for Three-Dimensional Brachytherapy
PurposeTo investigate an implementation method and the results of an inverse dose optimization algorithm, Gradient Based Planning Optimization (GBPO), for three-dimensional brachytherapy.MethodsThe GBPO used a quadratic objective function, and a dwell time modulation item was added to the objective...
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Frontiers Media S.A.
2020-10-01
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Series: | Frontiers in Oncology |
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Online Access: | https://www.frontiersin.org/articles/10.3389/fonc.2020.564580/full |
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doaj-8eec9763d81d43aa89d738adb37ab846 |
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record_format |
Article |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Xianliang Wang Pei Wang Bin Tang Shengwei Kang Qing Hou Zhangwen Wu Chengjun Gou Lintao Li Lucia Orlandini Jinyi Lang Jie Li |
spellingShingle |
Xianliang Wang Pei Wang Bin Tang Shengwei Kang Qing Hou Zhangwen Wu Chengjun Gou Lintao Li Lucia Orlandini Jinyi Lang Jie Li An Inverse Dose Optimization Algorithm for Three-Dimensional Brachytherapy Frontiers in Oncology brachytherapy inverse optimization cervical cancer treatment planning system dwell time |
author_facet |
Xianliang Wang Pei Wang Bin Tang Shengwei Kang Qing Hou Zhangwen Wu Chengjun Gou Lintao Li Lucia Orlandini Jinyi Lang Jie Li |
author_sort |
Xianliang Wang |
title |
An Inverse Dose Optimization Algorithm for Three-Dimensional Brachytherapy |
title_short |
An Inverse Dose Optimization Algorithm for Three-Dimensional Brachytherapy |
title_full |
An Inverse Dose Optimization Algorithm for Three-Dimensional Brachytherapy |
title_fullStr |
An Inverse Dose Optimization Algorithm for Three-Dimensional Brachytherapy |
title_full_unstemmed |
An Inverse Dose Optimization Algorithm for Three-Dimensional Brachytherapy |
title_sort |
inverse dose optimization algorithm for three-dimensional brachytherapy |
publisher |
Frontiers Media S.A. |
series |
Frontiers in Oncology |
issn |
2234-943X |
publishDate |
2020-10-01 |
description |
PurposeTo investigate an implementation method and the results of an inverse dose optimization algorithm, Gradient Based Planning Optimization (GBPO), for three-dimensional brachytherapy.MethodsThe GBPO used a quadratic objective function, and a dwell time modulation item was added to the objective function to restrict the dwell time variance. We retrospectively studied 4 cervical cancer patients using different applicators and 15 cervical cancer patients using the Fletcher applicator. We assessed the plan quality of GBPO by isodose lines for the patients using different applicators. For the 15 patients using the Fletcher applicator, we utilized dose-volume histogram (DVH) parameters of HR-CTV (D100%, V150%) and organs at risk (OARs) (D0.1cc, D1cc, D2cc) to evaluate the difference between the GBPO plans and the IPSA (Inverse Planning Simulated Annealing) plans, as well as the GBPO plans and the Graphic plans.ResultsFor the 4 patients using different applicators, the dose distributions are conformable. For the 15 patients using the Fletcher applicator, when the dwell time modulation factor (DTMF) is less than 20, the dwell time deviation reduces quickly; however, after the DTMF increased to 100, the dwell time deviation has no remarkable change. The difference in dosimetric parameters between the GBPO plans and the IPSA plans is not statistically significant (P>0.05). The GBPO plans have a higher D100% (3.57 ± 0.36, 3.38 ± 0.34; P<0.01) and a lower V150% (55.73 ± 4.06, 57.75 ± 3.79; P<0.01) than those of the Graphic plans. The differences in other DVH parameters are negligible between the GBPO plans and the Graphic plans.ConclusionsThe GBPO plans have a comparable quality as the IPSA plans and the Graphic plans for the studied cervical cancer cases. The GBPO algorithm could be integrated into a three-dimensional brachytherapy treatment planning system after studying more sites. |
topic |
brachytherapy inverse optimization cervical cancer treatment planning system dwell time |
url |
https://www.frontiersin.org/articles/10.3389/fonc.2020.564580/full |
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doaj-8eec9763d81d43aa89d738adb37ab8462020-11-25T03:53:05ZengFrontiers Media S.A.Frontiers in Oncology2234-943X2020-10-011010.3389/fonc.2020.564580564580An Inverse Dose Optimization Algorithm for Three-Dimensional BrachytherapyXianliang Wang0Pei Wang1Bin Tang2Shengwei Kang3Qing Hou4Zhangwen Wu5Chengjun Gou6Lintao Li7Lucia Orlandini8Jinyi Lang9Jie Li10Department of Radiation Oncology, Sichuan Cancer Hospital & Institute, School of Medicine, University of Electronic Science and Technology of China, Radiation Oncology Key Laboratory Of Sichuan Province, Chengdu, ChinaDepartment of Radiation Oncology, Sichuan Cancer Hospital & Institute, School of Medicine, University of Electronic Science and Technology of China, Radiation Oncology Key Laboratory Of Sichuan Province, Chengdu, ChinaDepartment of Radiation Oncology, Sichuan Cancer Hospital & Institute, School of Medicine, University of Electronic Science and Technology of China, Radiation Oncology Key Laboratory Of Sichuan Province, Chengdu, ChinaDepartment of Radiation Oncology, Sichuan Cancer Hospital & Institute, School of Medicine, University of Electronic Science and Technology of China, Radiation Oncology Key Laboratory Of Sichuan Province, Chengdu, ChinaKey Laboratory of Radiation Physics and Technology, Institute of Nuclear Science and Technology, Sichuan University, Chengdu, ChinaKey Laboratory of Radiation Physics and Technology, Institute of Nuclear Science and Technology, Sichuan University, Chengdu, ChinaKey Laboratory of Radiation Physics and Technology, Institute of Nuclear Science and Technology, Sichuan University, Chengdu, ChinaDepartment of Radiation Oncology, Sichuan Cancer Hospital & Institute, School of Medicine, University of Electronic Science and Technology of China, Radiation Oncology Key Laboratory Of Sichuan Province, Chengdu, ChinaDepartment of Radiation Oncology, Sichuan Cancer Hospital & Institute, School of Medicine, University of Electronic Science and Technology of China, Radiation Oncology Key Laboratory Of Sichuan Province, Chengdu, ChinaDepartment of Radiation Oncology, Sichuan Cancer Hospital & Institute, School of Medicine, University of Electronic Science and Technology of China, Radiation Oncology Key Laboratory Of Sichuan Province, Chengdu, ChinaDepartment of Radiation Oncology, Sichuan Cancer Hospital & Institute, School of Medicine, University of Electronic Science and Technology of China, Radiation Oncology Key Laboratory Of Sichuan Province, Chengdu, ChinaPurposeTo investigate an implementation method and the results of an inverse dose optimization algorithm, Gradient Based Planning Optimization (GBPO), for three-dimensional brachytherapy.MethodsThe GBPO used a quadratic objective function, and a dwell time modulation item was added to the objective function to restrict the dwell time variance. We retrospectively studied 4 cervical cancer patients using different applicators and 15 cervical cancer patients using the Fletcher applicator. We assessed the plan quality of GBPO by isodose lines for the patients using different applicators. For the 15 patients using the Fletcher applicator, we utilized dose-volume histogram (DVH) parameters of HR-CTV (D100%, V150%) and organs at risk (OARs) (D0.1cc, D1cc, D2cc) to evaluate the difference between the GBPO plans and the IPSA (Inverse Planning Simulated Annealing) plans, as well as the GBPO plans and the Graphic plans.ResultsFor the 4 patients using different applicators, the dose distributions are conformable. For the 15 patients using the Fletcher applicator, when the dwell time modulation factor (DTMF) is less than 20, the dwell time deviation reduces quickly; however, after the DTMF increased to 100, the dwell time deviation has no remarkable change. The difference in dosimetric parameters between the GBPO plans and the IPSA plans is not statistically significant (P>0.05). The GBPO plans have a higher D100% (3.57 ± 0.36, 3.38 ± 0.34; P<0.01) and a lower V150% (55.73 ± 4.06, 57.75 ± 3.79; P<0.01) than those of the Graphic plans. The differences in other DVH parameters are negligible between the GBPO plans and the Graphic plans.ConclusionsThe GBPO plans have a comparable quality as the IPSA plans and the Graphic plans for the studied cervical cancer cases. The GBPO algorithm could be integrated into a three-dimensional brachytherapy treatment planning system after studying more sites.https://www.frontiersin.org/articles/10.3389/fonc.2020.564580/fullbrachytherapyinverse optimizationcervical cancertreatment planning systemdwell time |