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A Review of the Robust Optimization Process and Advances with Monte Carlo in the Proton Therapy Management of Head and Neck Tumors
In intensity-modulated proton therapy, robust optimization processes have been developed to manage uncertainties associated with (1) range, (2) setup, (3) anatomic changes, (4) dose calculation, and (5) biological effects. Here we review our experience using a robust optimization technique that dire...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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The Particle Therapy Co-operative Group
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8270090/ https://www.ncbi.nlm.nih.gov/pubmed/34285932 http://dx.doi.org/10.14338/IJPT-20-00078.1 |
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author | Zhang, Xiaodong |
author_facet | Zhang, Xiaodong |
author_sort | Zhang, Xiaodong |
collection | PubMed |
description | In intensity-modulated proton therapy, robust optimization processes have been developed to manage uncertainties associated with (1) range, (2) setup, (3) anatomic changes, (4) dose calculation, and (5) biological effects. Here we review our experience using a robust optimization technique that directly incorporates range and setup uncertainties into the optimization process to manage those sources of uncertainty. We also review procedures for implementing adaptive planning to manage the anatomic uncertainties. Finally, we share some early experiences regarding the impact of uncertainties in dose calculation and biological effects, along with techniques to manage and potentially reduce these uncertainties. |
format | Online Article Text |
id | pubmed-8270090 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | The Particle Therapy Co-operative Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-82700902021-07-19 A Review of the Robust Optimization Process and Advances with Monte Carlo in the Proton Therapy Management of Head and Neck Tumors Zhang, Xiaodong Int J Part Ther Physics In intensity-modulated proton therapy, robust optimization processes have been developed to manage uncertainties associated with (1) range, (2) setup, (3) anatomic changes, (4) dose calculation, and (5) biological effects. Here we review our experience using a robust optimization technique that directly incorporates range and setup uncertainties into the optimization process to manage those sources of uncertainty. We also review procedures for implementing adaptive planning to manage the anatomic uncertainties. Finally, we share some early experiences regarding the impact of uncertainties in dose calculation and biological effects, along with techniques to manage and potentially reduce these uncertainties. The Particle Therapy Co-operative Group 2021-06-25 /pmc/articles/PMC8270090/ /pubmed/34285932 http://dx.doi.org/10.14338/IJPT-20-00078.1 Text en ©Copyright 2021 The Author(s) https://creativecommons.org/licenses/by/4.0/Distributed under Creative Commons CC-BY (https://creativecommons.org/licenses/by/4.0/) |
spellingShingle | Physics Zhang, Xiaodong A Review of the Robust Optimization Process and Advances with Monte Carlo in the Proton Therapy Management of Head and Neck Tumors |
title | A Review of the Robust Optimization Process and Advances with Monte Carlo in the Proton Therapy Management of Head and Neck Tumors |
title_full | A Review of the Robust Optimization Process and Advances with Monte Carlo in the Proton Therapy Management of Head and Neck Tumors |
title_fullStr | A Review of the Robust Optimization Process and Advances with Monte Carlo in the Proton Therapy Management of Head and Neck Tumors |
title_full_unstemmed | A Review of the Robust Optimization Process and Advances with Monte Carlo in the Proton Therapy Management of Head and Neck Tumors |
title_short | A Review of the Robust Optimization Process and Advances with Monte Carlo in the Proton Therapy Management of Head and Neck Tumors |
title_sort | review of the robust optimization process and advances with monte carlo in the proton therapy management of head and neck tumors |
topic | Physics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8270090/ https://www.ncbi.nlm.nih.gov/pubmed/34285932 http://dx.doi.org/10.14338/IJPT-20-00078.1 |
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