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Robust optimization in lung treatment plans accounting for geometric uncertainty
Robust optimization generates scenario‐based plans by a minimax optimization method to find optimal scenario for the trade‐off between target coverage robustness and organ‐at‐risk (OAR) sparing. In this study, 20 lung cancer patients with tumors located at various anatomical regions within the lungs...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5978970/ https://www.ncbi.nlm.nih.gov/pubmed/29524301 http://dx.doi.org/10.1002/acm2.12291 |
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author | Zhang, Xin Rong, Yi Morrill, Steven Fang, Jian Narayanasamy, Ganesh Galhardo, Edvaldo Maraboyina, Sanjay Croft, Christopher xia, Fen Penagaricano, Jose |
author_facet | Zhang, Xin Rong, Yi Morrill, Steven Fang, Jian Narayanasamy, Ganesh Galhardo, Edvaldo Maraboyina, Sanjay Croft, Christopher xia, Fen Penagaricano, Jose |
author_sort | Zhang, Xin |
collection | PubMed |
description | Robust optimization generates scenario‐based plans by a minimax optimization method to find optimal scenario for the trade‐off between target coverage robustness and organ‐at‐risk (OAR) sparing. In this study, 20 lung cancer patients with tumors located at various anatomical regions within the lungs were selected and robust optimization photon treatment plans including intensity modulated radiotherapy (IMRT) and volumetric modulated arc therapy (VMAT) plans were generated. The plan robustness was analyzed using perturbed doses with setup error boundary of ±3 mm in anterior/posterior (AP), ±3 mm in left/right (LR), and ±5 mm in inferior/superior (IS) directions from isocenter. Perturbed doses for D(99), D(98), and D(95) were computed from six shifted isocenter plans to evaluate plan robustness. Dosimetric study was performed to compare the internal target volume‐based robust optimization plans (ITV‐IMRT and ITV‐VMAT) and conventional PTV margin‐based plans (PTV‐IMRT and PTV‐VMAT). The dosimetric comparison parameters were: ITV target mean dose (D(mean)), R(95)(D(95)/D(prescription)), Paddick's conformity index (CI), homogeneity index (HI), monitor unit (MU), and OAR doses including lung (D(mean), V(20 Gy) and V(15 Gy)), chest wall, heart, esophagus, and maximum cord doses. A comparison of optimization results showed the robust optimization plan had better ITV dose coverage, better CI, worse HI, and lower OAR doses than conventional PTV margin‐based plans. Plan robustness evaluation showed that the perturbed doses of D(99), D(98), and D(95) were all satisfied at least 99% of the ITV to received 95% of prescription doses. It was also observed that PTV margin‐based plans had higher MU than robust optimization plans. The results also showed robust optimization can generate plans that offer increased OAR sparing, especially for normal lungs and OARs near or abutting the target. Weak correlation was found between normal lung dose and target size, and no other correlation was observed in this study. |
format | Online Article Text |
id | pubmed-5978970 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-59789702018-06-01 Robust optimization in lung treatment plans accounting for geometric uncertainty Zhang, Xin Rong, Yi Morrill, Steven Fang, Jian Narayanasamy, Ganesh Galhardo, Edvaldo Maraboyina, Sanjay Croft, Christopher xia, Fen Penagaricano, Jose J Appl Clin Med Phys Review Article Robust optimization generates scenario‐based plans by a minimax optimization method to find optimal scenario for the trade‐off between target coverage robustness and organ‐at‐risk (OAR) sparing. In this study, 20 lung cancer patients with tumors located at various anatomical regions within the lungs were selected and robust optimization photon treatment plans including intensity modulated radiotherapy (IMRT) and volumetric modulated arc therapy (VMAT) plans were generated. The plan robustness was analyzed using perturbed doses with setup error boundary of ±3 mm in anterior/posterior (AP), ±3 mm in left/right (LR), and ±5 mm in inferior/superior (IS) directions from isocenter. Perturbed doses for D(99), D(98), and D(95) were computed from six shifted isocenter plans to evaluate plan robustness. Dosimetric study was performed to compare the internal target volume‐based robust optimization plans (ITV‐IMRT and ITV‐VMAT) and conventional PTV margin‐based plans (PTV‐IMRT and PTV‐VMAT). The dosimetric comparison parameters were: ITV target mean dose (D(mean)), R(95)(D(95)/D(prescription)), Paddick's conformity index (CI), homogeneity index (HI), monitor unit (MU), and OAR doses including lung (D(mean), V(20 Gy) and V(15 Gy)), chest wall, heart, esophagus, and maximum cord doses. A comparison of optimization results showed the robust optimization plan had better ITV dose coverage, better CI, worse HI, and lower OAR doses than conventional PTV margin‐based plans. Plan robustness evaluation showed that the perturbed doses of D(99), D(98), and D(95) were all satisfied at least 99% of the ITV to received 95% of prescription doses. It was also observed that PTV margin‐based plans had higher MU than robust optimization plans. The results also showed robust optimization can generate plans that offer increased OAR sparing, especially for normal lungs and OARs near or abutting the target. Weak correlation was found between normal lung dose and target size, and no other correlation was observed in this study. John Wiley and Sons Inc. 2018-03-10 /pmc/articles/PMC5978970/ /pubmed/29524301 http://dx.doi.org/10.1002/acm2.12291 Text en © 2018 University of Arkansas for Medical Sciences. Journal of Applied Clinical Medical Physics published by Wiley Periodicals, Inc. on behalf of American Association of Physicists in Medicine. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Review Article Zhang, Xin Rong, Yi Morrill, Steven Fang, Jian Narayanasamy, Ganesh Galhardo, Edvaldo Maraboyina, Sanjay Croft, Christopher xia, Fen Penagaricano, Jose Robust optimization in lung treatment plans accounting for geometric uncertainty |
title | Robust optimization in lung treatment plans accounting for geometric uncertainty |
title_full | Robust optimization in lung treatment plans accounting for geometric uncertainty |
title_fullStr | Robust optimization in lung treatment plans accounting for geometric uncertainty |
title_full_unstemmed | Robust optimization in lung treatment plans accounting for geometric uncertainty |
title_short | Robust optimization in lung treatment plans accounting for geometric uncertainty |
title_sort | robust optimization in lung treatment plans accounting for geometric uncertainty |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5978970/ https://www.ncbi.nlm.nih.gov/pubmed/29524301 http://dx.doi.org/10.1002/acm2.12291 |
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