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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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Autor principal: Zhang, Xiaodong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Particle Therapy Co-operative Group 2021
Materias:
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
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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.
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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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