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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...

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Autores principales: Rouabhi, Ouided, Ma, Mingyu, Bayouth, John, Xia, Junyi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2015
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‐
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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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AT xiajunyi impactoftemporalprobabilityin4ddosecalculationforlungtumors