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Dosimetric Evaluation of Pinnacle’s Automated Treatment Planning Software to Manually Planned Treatments
INTRODUCTION: With the advent of complex treatment techniques like volumetric modulated arc therapy, there has been increasing interest in treatment planning technologies aimed at reducing planning time. One of these such technologies is auto-planning, which is an automated planning module within Pi...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6024492/ https://www.ncbi.nlm.nih.gov/pubmed/29909735 http://dx.doi.org/10.1177/1533033818780064 |
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author | McConnell, Kristen A. Marston, Tyler Zehren, Brianna Elizabeth Lirani, Aziz Stanley, Dennis N. Bishop, Aaron Crownover, Richard Eng, Tony Shi, Zheng Li, Ying Baacke, Diana Kirby, Neil Rasmussen, Karl Papanikolaou, Niko Gutierrez, Alonso N. |
author_facet | McConnell, Kristen A. Marston, Tyler Zehren, Brianna Elizabeth Lirani, Aziz Stanley, Dennis N. Bishop, Aaron Crownover, Richard Eng, Tony Shi, Zheng Li, Ying Baacke, Diana Kirby, Neil Rasmussen, Karl Papanikolaou, Niko Gutierrez, Alonso N. |
author_sort | McConnell, Kristen A. |
collection | PubMed |
description | INTRODUCTION: With the advent of complex treatment techniques like volumetric modulated arc therapy, there has been increasing interest in treatment planning technologies aimed at reducing planning time. One of these such technologies is auto-planning, which is an automated planning module within Pinnacle(3). This study seeks to retrospectively evaluate the dosimetric quality of auto-planning-derived treatment plans as they compare to manual plans for intact prostate, prostate and lymph nodes, and brain treatment sites. MATERIALS AND METHODS: Previous clinical plans were used to generate site-specific auto-planning templates. These templates were used to compare the 3 evaluated treatment sites. Plans were replanned using auto-planning and compared to the clinically delivered plans. For the planning target volume, the following metrics were evaluated: homogeneity index, conformity index, D(2cc), D(mean), D(2%), D(98%,) and multiple dose fall-off parameters. For the organs at risk, D(2cc), D(mean), and organ-specific clinical metrics were evaluated. Statistical differences were evaluated using a Wilcoxon paired signed-rank test with a significance level of 0.05. Statistically significant (P < 0.05) differences were noted in organs at risk sparing. RESULTS: For the prostate, there was as much as 6.8% reduction in bladder D(mean) and 23.5% reduction in penile bulb D(mean). For the prostate + lymph nodes, decreases in D(mean) values ranging from 4.1% in the small bowel to 22.3% in the right femoral head were observed. For brain, significant improvements were observed in D(max) and D(mean) to most organs at risk. CONCLUSION: Our study showed improved organs at risk sparing in most organs while maintaining planning target volume coverage. Overall, auto-planning can generate plans that delivered the same target coverage as the clinical plans but offered significant reductions in mean dose to organs at risk. |
format | Online Article Text |
id | pubmed-6024492 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-60244922018-07-05 Dosimetric Evaluation of Pinnacle’s Automated Treatment Planning Software to Manually Planned Treatments McConnell, Kristen A. Marston, Tyler Zehren, Brianna Elizabeth Lirani, Aziz Stanley, Dennis N. Bishop, Aaron Crownover, Richard Eng, Tony Shi, Zheng Li, Ying Baacke, Diana Kirby, Neil Rasmussen, Karl Papanikolaou, Niko Gutierrez, Alonso N. Technol Cancer Res Treat Original Article INTRODUCTION: With the advent of complex treatment techniques like volumetric modulated arc therapy, there has been increasing interest in treatment planning technologies aimed at reducing planning time. One of these such technologies is auto-planning, which is an automated planning module within Pinnacle(3). This study seeks to retrospectively evaluate the dosimetric quality of auto-planning-derived treatment plans as they compare to manual plans for intact prostate, prostate and lymph nodes, and brain treatment sites. MATERIALS AND METHODS: Previous clinical plans were used to generate site-specific auto-planning templates. These templates were used to compare the 3 evaluated treatment sites. Plans were replanned using auto-planning and compared to the clinically delivered plans. For the planning target volume, the following metrics were evaluated: homogeneity index, conformity index, D(2cc), D(mean), D(2%), D(98%,) and multiple dose fall-off parameters. For the organs at risk, D(2cc), D(mean), and organ-specific clinical metrics were evaluated. Statistical differences were evaluated using a Wilcoxon paired signed-rank test with a significance level of 0.05. Statistically significant (P < 0.05) differences were noted in organs at risk sparing. RESULTS: For the prostate, there was as much as 6.8% reduction in bladder D(mean) and 23.5% reduction in penile bulb D(mean). For the prostate + lymph nodes, decreases in D(mean) values ranging from 4.1% in the small bowel to 22.3% in the right femoral head were observed. For brain, significant improvements were observed in D(max) and D(mean) to most organs at risk. CONCLUSION: Our study showed improved organs at risk sparing in most organs while maintaining planning target volume coverage. Overall, auto-planning can generate plans that delivered the same target coverage as the clinical plans but offered significant reductions in mean dose to organs at risk. SAGE Publications 2018-06-18 /pmc/articles/PMC6024492/ /pubmed/29909735 http://dx.doi.org/10.1177/1533033818780064 Text en © The Author(s) 2018 http://creativecommons.org/licenses/by-nc/4.0/ This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (http://www.creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Original Article McConnell, Kristen A. Marston, Tyler Zehren, Brianna Elizabeth Lirani, Aziz Stanley, Dennis N. Bishop, Aaron Crownover, Richard Eng, Tony Shi, Zheng Li, Ying Baacke, Diana Kirby, Neil Rasmussen, Karl Papanikolaou, Niko Gutierrez, Alonso N. Dosimetric Evaluation of Pinnacle’s Automated Treatment Planning Software to Manually Planned Treatments |
title | Dosimetric Evaluation of Pinnacle’s Automated Treatment Planning Software to Manually Planned Treatments |
title_full | Dosimetric Evaluation of Pinnacle’s Automated Treatment Planning Software to Manually Planned Treatments |
title_fullStr | Dosimetric Evaluation of Pinnacle’s Automated Treatment Planning Software to Manually Planned Treatments |
title_full_unstemmed | Dosimetric Evaluation of Pinnacle’s Automated Treatment Planning Software to Manually Planned Treatments |
title_short | Dosimetric Evaluation of Pinnacle’s Automated Treatment Planning Software to Manually Planned Treatments |
title_sort | dosimetric evaluation of pinnacle’s automated treatment planning software to manually planned treatments |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6024492/ https://www.ncbi.nlm.nih.gov/pubmed/29909735 http://dx.doi.org/10.1177/1533033818780064 |
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