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Evaluation of a hybrid automatic planning solution for rectal cancer

BACKGROUND: Script-based planning and knowledge-based planning are two kinds of automatic planning solutions. Hybrid automatic planning may integrate the advantages of both solutions and provide a more robust automatic planning solution in the clinic. In this study, we evaluated and compared a comme...

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Autores principales: Peng, Jiyou, Yu, Lei, Xia, Fan, Zhang, Kang, Zhang, Zhen, Wang, Jiazhou, Hu, Weigang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9563136/
https://www.ncbi.nlm.nih.gov/pubmed/36229849
http://dx.doi.org/10.1186/s13014-022-02129-9
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author Peng, Jiyou
Yu, Lei
Xia, Fan
Zhang, Kang
Zhang, Zhen
Wang, Jiazhou
Hu, Weigang
author_facet Peng, Jiyou
Yu, Lei
Xia, Fan
Zhang, Kang
Zhang, Zhen
Wang, Jiazhou
Hu, Weigang
author_sort Peng, Jiyou
collection PubMed
description BACKGROUND: Script-based planning and knowledge-based planning are two kinds of automatic planning solutions. Hybrid automatic planning may integrate the advantages of both solutions and provide a more robust automatic planning solution in the clinic. In this study, we evaluated and compared a commercially available hybrid planning solution with manual planning and script-based planning. METHODS: In total, 51 rectal cancer patients in our institution were enrolled in this study. Each patient generated 7 plans: one clinically accepted manual plan ([Formula: see text] ), three script-based plans and three hybrid plans generated with the volumetric-modulated arc therapy technique and 3 different clinical goal settings: easy, moderate and hard ([Formula: see text] , [Formula: see text] , [Formula: see text] , [Formula: see text] , [Formula: see text] and [Formula: see text] ). Planning goals included planning target volume (PTV) D(max), bladder D(mean) and femur head D(mean). The PTV prescription was the same (50.00 Gy) for the 3 goal settings. The hard setting required a lower PTV D(max) and stricter organ at risk (OAR) dose, while the easy setting was the opposite. Plans were compared using dose metrics and plan quality metric (PQM) scores, including bladder D(15) and D(50), left and right femur head D(25) and D(40), PTV D(2), D(98), CI (conformity index) and HI (homogeneity index). RESULTS: Compared to manual planning, hybrid planning with all settings significantly reduced the OAR dose (p < 0.05, paired t-test or Wilcoxon signed rank test) for all dose-volume indices, except D(25) of the left femur head. For script-based planning, [Formula: see text] significantly increased the OAR dose for the femur head and D(2) and the PTV homogeneity index (p < 0.05, paired t-test or Wilcoxon signed rank test). Meanwhile, the maximum dose of the PTV was largely increased with hard script-based planning (D2 = 56.06 ± 7.57 Gy). For all three settings, the comparison of PQM between hybrid planning and script-based planning showed significant differences, except for D(25) of the left femur head and PTV D(2). The total PQM showed that hybrid planning could provide a better and more robust plan quality than script-based planning. CONCLUSIONS: The hybrid planning solution was manual-planning comparable for rectal cancer. Hybrid planning can provide a better and more robust plan quality than script-based planning. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13014-022-02129-9.
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spelling pubmed-95631362022-10-15 Evaluation of a hybrid automatic planning solution for rectal cancer Peng, Jiyou Yu, Lei Xia, Fan Zhang, Kang Zhang, Zhen Wang, Jiazhou Hu, Weigang Radiat Oncol Research BACKGROUND: Script-based planning and knowledge-based planning are two kinds of automatic planning solutions. Hybrid automatic planning may integrate the advantages of both solutions and provide a more robust automatic planning solution in the clinic. In this study, we evaluated and compared a commercially available hybrid planning solution with manual planning and script-based planning. METHODS: In total, 51 rectal cancer patients in our institution were enrolled in this study. Each patient generated 7 plans: one clinically accepted manual plan ([Formula: see text] ), three script-based plans and three hybrid plans generated with the volumetric-modulated arc therapy technique and 3 different clinical goal settings: easy, moderate and hard ([Formula: see text] , [Formula: see text] , [Formula: see text] , [Formula: see text] , [Formula: see text] and [Formula: see text] ). Planning goals included planning target volume (PTV) D(max), bladder D(mean) and femur head D(mean). The PTV prescription was the same (50.00 Gy) for the 3 goal settings. The hard setting required a lower PTV D(max) and stricter organ at risk (OAR) dose, while the easy setting was the opposite. Plans were compared using dose metrics and plan quality metric (PQM) scores, including bladder D(15) and D(50), left and right femur head D(25) and D(40), PTV D(2), D(98), CI (conformity index) and HI (homogeneity index). RESULTS: Compared to manual planning, hybrid planning with all settings significantly reduced the OAR dose (p < 0.05, paired t-test or Wilcoxon signed rank test) for all dose-volume indices, except D(25) of the left femur head. For script-based planning, [Formula: see text] significantly increased the OAR dose for the femur head and D(2) and the PTV homogeneity index (p < 0.05, paired t-test or Wilcoxon signed rank test). Meanwhile, the maximum dose of the PTV was largely increased with hard script-based planning (D2 = 56.06 ± 7.57 Gy). For all three settings, the comparison of PQM between hybrid planning and script-based planning showed significant differences, except for D(25) of the left femur head and PTV D(2). The total PQM showed that hybrid planning could provide a better and more robust plan quality than script-based planning. CONCLUSIONS: The hybrid planning solution was manual-planning comparable for rectal cancer. Hybrid planning can provide a better and more robust plan quality than script-based planning. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13014-022-02129-9. BioMed Central 2022-10-13 /pmc/articles/PMC9563136/ /pubmed/36229849 http://dx.doi.org/10.1186/s13014-022-02129-9 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Peng, Jiyou
Yu, Lei
Xia, Fan
Zhang, Kang
Zhang, Zhen
Wang, Jiazhou
Hu, Weigang
Evaluation of a hybrid automatic planning solution for rectal cancer
title Evaluation of a hybrid automatic planning solution for rectal cancer
title_full Evaluation of a hybrid automatic planning solution for rectal cancer
title_fullStr Evaluation of a hybrid automatic planning solution for rectal cancer
title_full_unstemmed Evaluation of a hybrid automatic planning solution for rectal cancer
title_short Evaluation of a hybrid automatic planning solution for rectal cancer
title_sort evaluation of a hybrid automatic planning solution for rectal cancer
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9563136/
https://www.ncbi.nlm.nih.gov/pubmed/36229849
http://dx.doi.org/10.1186/s13014-022-02129-9
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