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Impact of temporal probability in 4D dose calculation for lung tumors
The purpose of this study was to evaluate the dosimetric uncertainty in 4D dose calculation using three temporal probability distributions: uniform distribution, sinusoidal distribution, and patient‐specific distribution derived from the patient respiratory trace. Temporal probability, defined as th...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5691019/ https://www.ncbi.nlm.nih.gov/pubmed/26699562 http://dx.doi.org/10.1120/jacmp.v16i6.5517 |
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author | Rouabhi, Ouided Ma, Mingyu Bayouth, John Xia, Junyi |
author_facet | Rouabhi, Ouided Ma, Mingyu Bayouth, John Xia, Junyi |
author_sort | Rouabhi, Ouided |
collection | PubMed |
description | The purpose of this study was to evaluate the dosimetric uncertainty in 4D dose calculation using three temporal probability distributions: uniform distribution, sinusoidal distribution, and patient‐specific distribution derived from the patient respiratory trace. Temporal probability, defined as the fraction of time a patient spends in each respiratory amplitude, was evaluated in nine lung cancer patients. Four‐dimensional computed tomography (4D CT), along with deformable image registration, was used to compute 4D dose incorporating the patient's respiratory motion. First, the dose of each of 10 phase CTs was computed using the same planning parameters as those used in 3D treatment planning based on the breath‐hold CT. Next, deformable image registration was used to deform the dose of each phase CT to the breath‐hold CT using the deformation map between the phase CT and the breath‐hold CT. Finally, the 4D dose was computed by summing the deformed phase doses using their corresponding temporal probabilities. In this study, 4D dose calculated from the patient‐specific temporal probability distribution was used as the ground truth. The dosimetric evaluation matrix included: 1) 3D gamma analysis, 2) mean tumor dose (MTD), 3) mean lung dose (MLD), and 4) lung V20. For seven out of nine patients, both uniform and sinusoidal temporal probability dose distributions were found to have an average gamma passing rate [Formula: see text] for both the lung and PTV regions. Compared with 4D dose calculated using the patient respiratory trace, doses using uniform and sinusoidal distribution showed a percentage difference on average of [Formula: see text] and [Formula: see text] in MTD, [Formula: see text] and [Formula: see text] in MLD, [Formula: see text] and [Formula: see text] in lung V20, [Formula: see text] and [Formula: see text] in lung V10, [Formula: see text] and [Formula: see text] in lung V5, respectively. We concluded that four‐dimensional dose computed using either a uniform or sinusoidal temporal probability distribution can approximate four‐dimensional dose computed using the patient‐specific respiratory trace. PACS number: 87.55.D‐ |
format | Online Article Text |
id | pubmed-5691019 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-56910192018-04-02 Impact of temporal probability in 4D dose calculation for lung tumors Rouabhi, Ouided Ma, Mingyu Bayouth, John Xia, Junyi J Appl Clin Med Phys Radiation Oncology Physics The purpose of this study was to evaluate the dosimetric uncertainty in 4D dose calculation using three temporal probability distributions: uniform distribution, sinusoidal distribution, and patient‐specific distribution derived from the patient respiratory trace. Temporal probability, defined as the fraction of time a patient spends in each respiratory amplitude, was evaluated in nine lung cancer patients. Four‐dimensional computed tomography (4D CT), along with deformable image registration, was used to compute 4D dose incorporating the patient's respiratory motion. First, the dose of each of 10 phase CTs was computed using the same planning parameters as those used in 3D treatment planning based on the breath‐hold CT. Next, deformable image registration was used to deform the dose of each phase CT to the breath‐hold CT using the deformation map between the phase CT and the breath‐hold CT. Finally, the 4D dose was computed by summing the deformed phase doses using their corresponding temporal probabilities. In this study, 4D dose calculated from the patient‐specific temporal probability distribution was used as the ground truth. The dosimetric evaluation matrix included: 1) 3D gamma analysis, 2) mean tumor dose (MTD), 3) mean lung dose (MLD), and 4) lung V20. For seven out of nine patients, both uniform and sinusoidal temporal probability dose distributions were found to have an average gamma passing rate [Formula: see text] for both the lung and PTV regions. Compared with 4D dose calculated using the patient respiratory trace, doses using uniform and sinusoidal distribution showed a percentage difference on average of [Formula: see text] and [Formula: see text] in MTD, [Formula: see text] and [Formula: see text] in MLD, [Formula: see text] and [Formula: see text] in lung V20, [Formula: see text] and [Formula: see text] in lung V10, [Formula: see text] and [Formula: see text] in lung V5, respectively. We concluded that four‐dimensional dose computed using either a uniform or sinusoidal temporal probability distribution can approximate four‐dimensional dose computed using the patient‐specific respiratory trace. PACS number: 87.55.D‐ John Wiley and Sons Inc. 2015-11-08 /pmc/articles/PMC5691019/ /pubmed/26699562 http://dx.doi.org/10.1120/jacmp.v16i6.5517 Text en © 2015 The Authors. This is an open access article under the terms of the Creative Commons Attribution (http://creativecommons.org/licenses/by/3.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Radiation Oncology Physics Rouabhi, Ouided Ma, Mingyu Bayouth, John Xia, Junyi Impact of temporal probability in 4D dose calculation for lung tumors |
title | Impact of temporal probability in 4D dose calculation for lung tumors |
title_full | Impact of temporal probability in 4D dose calculation for lung tumors |
title_fullStr | Impact of temporal probability in 4D dose calculation for lung tumors |
title_full_unstemmed | Impact of temporal probability in 4D dose calculation for lung tumors |
title_short | Impact of temporal probability in 4D dose calculation for lung tumors |
title_sort | impact of temporal probability in 4d dose calculation for lung tumors |
topic | Radiation Oncology Physics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5691019/ https://www.ncbi.nlm.nih.gov/pubmed/26699562 http://dx.doi.org/10.1120/jacmp.v16i6.5517 |
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