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Accurate heterogeneous dose calculation for lung cancer patients without high‐resolution CT densities

The aim of this study was to investigate the relative accuracy of megavoltage photon‐beam dose calculations employing either five bulk densities or independent voxel densities determined by calibration of the CT Houndsfield number. Full‐resolution CT and bulk density treatment plans were generated f...

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Autores principales: Saito, Anneyuko I., Li, Jonathan G., Liu, Chihray, Olivier, Kenneth R., Dempsey, James F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5720462/
https://www.ncbi.nlm.nih.gov/pubmed/19458588
http://dx.doi.org/10.1120/jacmp.v10i2.2847
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author Saito, Anneyuko I.
Li, Jonathan G.
Liu, Chihray
Olivier, Kenneth R.
Dempsey, James F.
author_facet Saito, Anneyuko I.
Li, Jonathan G.
Liu, Chihray
Olivier, Kenneth R.
Dempsey, James F.
author_sort Saito, Anneyuko I.
collection PubMed
description The aim of this study was to investigate the relative accuracy of megavoltage photon‐beam dose calculations employing either five bulk densities or independent voxel densities determined by calibration of the CT Houndsfield number. Full‐resolution CT and bulk density treatment plans were generated for 70 lung or esophageal cancer tumors (66 cases) using a commercial treatment planning system with an adaptive convolution dose calculation algorithm (Pinnacle(3), Philips Medicals Systems). Bulk densities were applied to segmented regions. Individual and population average densities were compared to the full‐resolution plan for each case. Monitor units were kept constant and no normalizations were employed. Dose volume histograms (DVH) and dose difference distributions were examined for all cases. The average densities of the segmented air, lung, fat, soft tissue, and bone for the entire set were found to be 0.14, 0.26, 0.89, 1.02, and [Formula: see text] , respectively. In all cases, the normal tissue DVH agreed to better than 2% in dose. In 62 of 70 DVHs of the planning target volume (PTV), agreement to better than 3% in dose was observed. Six cases demonstrated emphysema, one with bullous formations and one with a hiatus hernia having a large volume of gas. These required the additional assignment of density to the emphysemic lung and inflammatory changes to the lung, the regions of collapsed lung, the bullous formations, and the hernia gas. Bulk tissue density dose calculation provides an accurate method of heterogeneous dose calculation. However, patients with advanced emphysema may require high‐resolution CT studies for accurate treatment planning. PACS number: 87.53.Tf
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spelling pubmed-57204622018-04-02 Accurate heterogeneous dose calculation for lung cancer patients without high‐resolution CT densities Saito, Anneyuko I. Li, Jonathan G. Liu, Chihray Olivier, Kenneth R. Dempsey, James F. J Appl Clin Med Phys Radiation Oncology Physics The aim of this study was to investigate the relative accuracy of megavoltage photon‐beam dose calculations employing either five bulk densities or independent voxel densities determined by calibration of the CT Houndsfield number. Full‐resolution CT and bulk density treatment plans were generated for 70 lung or esophageal cancer tumors (66 cases) using a commercial treatment planning system with an adaptive convolution dose calculation algorithm (Pinnacle(3), Philips Medicals Systems). Bulk densities were applied to segmented regions. Individual and population average densities were compared to the full‐resolution plan for each case. Monitor units were kept constant and no normalizations were employed. Dose volume histograms (DVH) and dose difference distributions were examined for all cases. The average densities of the segmented air, lung, fat, soft tissue, and bone for the entire set were found to be 0.14, 0.26, 0.89, 1.02, and [Formula: see text] , respectively. In all cases, the normal tissue DVH agreed to better than 2% in dose. In 62 of 70 DVHs of the planning target volume (PTV), agreement to better than 3% in dose was observed. Six cases demonstrated emphysema, one with bullous formations and one with a hiatus hernia having a large volume of gas. These required the additional assignment of density to the emphysemic lung and inflammatory changes to the lung, the regions of collapsed lung, the bullous formations, and the hernia gas. Bulk tissue density dose calculation provides an accurate method of heterogeneous dose calculation. However, patients with advanced emphysema may require high‐resolution CT studies for accurate treatment planning. PACS number: 87.53.Tf John Wiley and Sons Inc. 2009-04-30 /pmc/articles/PMC5720462/ /pubmed/19458588 http://dx.doi.org/10.1120/jacmp.v10i2.2847 Text en © 2009 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
Saito, Anneyuko I.
Li, Jonathan G.
Liu, Chihray
Olivier, Kenneth R.
Dempsey, James F.
Accurate heterogeneous dose calculation for lung cancer patients without high‐resolution CT densities
title Accurate heterogeneous dose calculation for lung cancer patients without high‐resolution CT densities
title_full Accurate heterogeneous dose calculation for lung cancer patients without high‐resolution CT densities
title_fullStr Accurate heterogeneous dose calculation for lung cancer patients without high‐resolution CT densities
title_full_unstemmed Accurate heterogeneous dose calculation for lung cancer patients without high‐resolution CT densities
title_short Accurate heterogeneous dose calculation for lung cancer patients without high‐resolution CT densities
title_sort accurate heterogeneous dose calculation for lung cancer patients without high‐resolution ct densities
topic Radiation Oncology Physics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5720462/
https://www.ncbi.nlm.nih.gov/pubmed/19458588
http://dx.doi.org/10.1120/jacmp.v10i2.2847
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