Cargando…
Multi-institution model (big model) versus single-institution model of knowledge-based volumetric modulated arc therapy (VMAT) planning for prostate cancer
We established a multi-institution model (big model) of knowledge-based treatment planning with over 500 treatment plans from five institutions in volumetric modulated arc therapy (VMAT) for prostate cancer. This study aimed to clarify the efficacy of using a large number of registered treatment pla...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9464226/ https://www.ncbi.nlm.nih.gov/pubmed/36088382 http://dx.doi.org/10.1038/s41598-022-19498-6 |
_version_ | 1784787537684856832 |
---|---|
author | Fukunaga, Jun-ichi Tamura, Mikoto Ueda, Yoshihiro Kamima, Tatsuya Shimizu, Yumiko Muraki, Yuta Nakamatsu, Kiyoshi Monzen, Hajime |
author_facet | Fukunaga, Jun-ichi Tamura, Mikoto Ueda, Yoshihiro Kamima, Tatsuya Shimizu, Yumiko Muraki, Yuta Nakamatsu, Kiyoshi Monzen, Hajime |
author_sort | Fukunaga, Jun-ichi |
collection | PubMed |
description | We established a multi-institution model (big model) of knowledge-based treatment planning with over 500 treatment plans from five institutions in volumetric modulated arc therapy (VMAT) for prostate cancer. This study aimed to clarify the efficacy of using a large number of registered treatment plans for sharing the big model. The big model was created with 561 clinically approved VMAT plans for prostate cancer from five institutions (A: 150, B: 153, C: 49, D: 60, and E: 149) with different planning strategies. The dosimetric parameters of planning target volume (PTV), rectum, and bladder for two validation VMAT plans generated with the big model were compared with those from each institutional model (single-institution model). The goodness-of-fit of regression lines (R(2) and χ(2) values) and ratios of the outliers of Cook’s distance (CD) > 4.0, modified Z-score (mZ) > 3.5, studentized residual (SR) > 3.0, and areal difference of estimate (dA) > 3.0 for regression scatter plots in the big model and single-institution model were also evaluated. The mean ± standard deviation (SD) of dosimetric parameters were as follows (big model vs. single-institution model): 79.0 ± 1.6 vs. 78.7 ± 0.5 (D(50)) and 0.13 ± 0.06 vs. 0.13 ± 0.07 (Homogeneity Index) for the PTV; 6.6 ± 4.0 vs. 8.4 ± 3.6 (V(90)) and 32.4 ± 3.8 vs. 46.6 ± 15.4 (V(50)) for the rectum; and 13.8 ± 1.8 vs. 13.3 ± 4.3 (V(90)) and 39.9 ± 2.0 vs. 38.4 ± 5.2 (V(50)) for the bladder. The R(2) values in the big model were 0.251 and 0.755 for rectum and bladder, respectively, which were comparable to those from each institution model. The respective χ(2) values in the big model were 1.009 and 1.002, which were closer to 1.0 than those from each institution model. The ratios of the outliers in the big model were also comparable to those from each institution model. The big model could generate a comparable VMAT plan quality compared with each single-institution model and therefore could possibly be shared with other institutions. |
format | Online Article Text |
id | pubmed-9464226 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-94642262022-09-12 Multi-institution model (big model) versus single-institution model of knowledge-based volumetric modulated arc therapy (VMAT) planning for prostate cancer Fukunaga, Jun-ichi Tamura, Mikoto Ueda, Yoshihiro Kamima, Tatsuya Shimizu, Yumiko Muraki, Yuta Nakamatsu, Kiyoshi Monzen, Hajime Sci Rep Article We established a multi-institution model (big model) of knowledge-based treatment planning with over 500 treatment plans from five institutions in volumetric modulated arc therapy (VMAT) for prostate cancer. This study aimed to clarify the efficacy of using a large number of registered treatment plans for sharing the big model. The big model was created with 561 clinically approved VMAT plans for prostate cancer from five institutions (A: 150, B: 153, C: 49, D: 60, and E: 149) with different planning strategies. The dosimetric parameters of planning target volume (PTV), rectum, and bladder for two validation VMAT plans generated with the big model were compared with those from each institutional model (single-institution model). The goodness-of-fit of regression lines (R(2) and χ(2) values) and ratios of the outliers of Cook’s distance (CD) > 4.0, modified Z-score (mZ) > 3.5, studentized residual (SR) > 3.0, and areal difference of estimate (dA) > 3.0 for regression scatter plots in the big model and single-institution model were also evaluated. The mean ± standard deviation (SD) of dosimetric parameters were as follows (big model vs. single-institution model): 79.0 ± 1.6 vs. 78.7 ± 0.5 (D(50)) and 0.13 ± 0.06 vs. 0.13 ± 0.07 (Homogeneity Index) for the PTV; 6.6 ± 4.0 vs. 8.4 ± 3.6 (V(90)) and 32.4 ± 3.8 vs. 46.6 ± 15.4 (V(50)) for the rectum; and 13.8 ± 1.8 vs. 13.3 ± 4.3 (V(90)) and 39.9 ± 2.0 vs. 38.4 ± 5.2 (V(50)) for the bladder. The R(2) values in the big model were 0.251 and 0.755 for rectum and bladder, respectively, which were comparable to those from each institution model. The respective χ(2) values in the big model were 1.009 and 1.002, which were closer to 1.0 than those from each institution model. The ratios of the outliers in the big model were also comparable to those from each institution model. The big model could generate a comparable VMAT plan quality compared with each single-institution model and therefore could possibly be shared with other institutions. Nature Publishing Group UK 2022-09-10 /pmc/articles/PMC9464226/ /pubmed/36088382 http://dx.doi.org/10.1038/s41598-022-19498-6 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This 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/) . |
spellingShingle | Article Fukunaga, Jun-ichi Tamura, Mikoto Ueda, Yoshihiro Kamima, Tatsuya Shimizu, Yumiko Muraki, Yuta Nakamatsu, Kiyoshi Monzen, Hajime Multi-institution model (big model) versus single-institution model of knowledge-based volumetric modulated arc therapy (VMAT) planning for prostate cancer |
title | Multi-institution model (big model) versus single-institution model of knowledge-based volumetric modulated arc therapy (VMAT) planning for prostate cancer |
title_full | Multi-institution model (big model) versus single-institution model of knowledge-based volumetric modulated arc therapy (VMAT) planning for prostate cancer |
title_fullStr | Multi-institution model (big model) versus single-institution model of knowledge-based volumetric modulated arc therapy (VMAT) planning for prostate cancer |
title_full_unstemmed | Multi-institution model (big model) versus single-institution model of knowledge-based volumetric modulated arc therapy (VMAT) planning for prostate cancer |
title_short | Multi-institution model (big model) versus single-institution model of knowledge-based volumetric modulated arc therapy (VMAT) planning for prostate cancer |
title_sort | multi-institution model (big model) versus single-institution model of knowledge-based volumetric modulated arc therapy (vmat) planning for prostate cancer |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9464226/ https://www.ncbi.nlm.nih.gov/pubmed/36088382 http://dx.doi.org/10.1038/s41598-022-19498-6 |
work_keys_str_mv | AT fukunagajunichi multiinstitutionmodelbigmodelversussingleinstitutionmodelofknowledgebasedvolumetricmodulatedarctherapyvmatplanningforprostatecancer AT tamuramikoto multiinstitutionmodelbigmodelversussingleinstitutionmodelofknowledgebasedvolumetricmodulatedarctherapyvmatplanningforprostatecancer AT uedayoshihiro multiinstitutionmodelbigmodelversussingleinstitutionmodelofknowledgebasedvolumetricmodulatedarctherapyvmatplanningforprostatecancer AT kamimatatsuya multiinstitutionmodelbigmodelversussingleinstitutionmodelofknowledgebasedvolumetricmodulatedarctherapyvmatplanningforprostatecancer AT shimizuyumiko multiinstitutionmodelbigmodelversussingleinstitutionmodelofknowledgebasedvolumetricmodulatedarctherapyvmatplanningforprostatecancer AT murakiyuta multiinstitutionmodelbigmodelversussingleinstitutionmodelofknowledgebasedvolumetricmodulatedarctherapyvmatplanningforprostatecancer AT nakamatsukiyoshi multiinstitutionmodelbigmodelversussingleinstitutionmodelofknowledgebasedvolumetricmodulatedarctherapyvmatplanningforprostatecancer AT monzenhajime multiinstitutionmodelbigmodelversussingleinstitutionmodelofknowledgebasedvolumetricmodulatedarctherapyvmatplanningforprostatecancer |