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A method to predict patient‐specific table coordinates for quality assurance in external beam radiation therapy
PURPOSE: While external beam radiotherapy treatment planning determines nearly every mechanical and dosimetric parameter of the linear accelerator (LINAC), the table coordinates in all three dimensions are generally unknown until initial patient setup at the LINAC. Knowing these parameters in advanc...
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/PMC6123132/ https://www.ncbi.nlm.nih.gov/pubmed/30085393 http://dx.doi.org/10.1002/acm2.12428 |
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author | Saenz, Daniel L. Astorga, Nestor Rodrigo Kirby, Neil Fakhreddine, Mohamad Rasmussen, Karl Stathakis, Sotirios Papanikolaou, Niko |
author_facet | Saenz, Daniel L. Astorga, Nestor Rodrigo Kirby, Neil Fakhreddine, Mohamad Rasmussen, Karl Stathakis, Sotirios Papanikolaou, Niko |
author_sort | Saenz, Daniel L. |
collection | PubMed |
description | PURPOSE: While external beam radiotherapy treatment planning determines nearly every mechanical and dosimetric parameter of the linear accelerator (LINAC), the table coordinates in all three dimensions are generally unknown until initial patient setup at the LINAC. Knowing these parameters in advance could help verify the direction of patient shifts and prevent wrong‐site errors. This study aims to determine the feasibility and accuracy of table coordinate prediction for indexed immobilization devices. METHODS: A total of 303 table coordinates were predicted for patients on Varian and Elekta linear accelerators with immobilization devices including Orfit mask with baseplate, wingboard, breastboard and BodyFix. Predictions were made for all three spatial dimensions except for Body Fix setups due to the lack of a radiographically apparent indexing‐related landmark. Coordinates were predicted by measuring baseline table coordinates in all dimensions at specified landmark positions. RESULTS: Predictions were accurate within 2 cm for 86% of coordinates (71% within 1 cm). Table coordinates were predicted most accurately for head and neck patients with a base plate and the most difficult prediction was in the lateral direction for breastboard patients. CONCLUSIONS: With proper indexing, table coordinates can be predicted with reasonable accuracy. The data suggest an action of level of 2 cm with certain exceptions for specific immobilization devices and directions. |
format | Online Article Text |
id | pubmed-6123132 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-61231322018-09-10 A method to predict patient‐specific table coordinates for quality assurance in external beam radiation therapy Saenz, Daniel L. Astorga, Nestor Rodrigo Kirby, Neil Fakhreddine, Mohamad Rasmussen, Karl Stathakis, Sotirios Papanikolaou, Niko J Appl Clin Med Phys Radiation Oncology Physics PURPOSE: While external beam radiotherapy treatment planning determines nearly every mechanical and dosimetric parameter of the linear accelerator (LINAC), the table coordinates in all three dimensions are generally unknown until initial patient setup at the LINAC. Knowing these parameters in advance could help verify the direction of patient shifts and prevent wrong‐site errors. This study aims to determine the feasibility and accuracy of table coordinate prediction for indexed immobilization devices. METHODS: A total of 303 table coordinates were predicted for patients on Varian and Elekta linear accelerators with immobilization devices including Orfit mask with baseplate, wingboard, breastboard and BodyFix. Predictions were made for all three spatial dimensions except for Body Fix setups due to the lack of a radiographically apparent indexing‐related landmark. Coordinates were predicted by measuring baseline table coordinates in all dimensions at specified landmark positions. RESULTS: Predictions were accurate within 2 cm for 86% of coordinates (71% within 1 cm). Table coordinates were predicted most accurately for head and neck patients with a base plate and the most difficult prediction was in the lateral direction for breastboard patients. CONCLUSIONS: With proper indexing, table coordinates can be predicted with reasonable accuracy. The data suggest an action of level of 2 cm with certain exceptions for specific immobilization devices and directions. John Wiley and Sons Inc. 2018-08-07 /pmc/articles/PMC6123132/ /pubmed/30085393 http://dx.doi.org/10.1002/acm2.12428 Text en © 2018 The Authors. 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 | Radiation Oncology Physics Saenz, Daniel L. Astorga, Nestor Rodrigo Kirby, Neil Fakhreddine, Mohamad Rasmussen, Karl Stathakis, Sotirios Papanikolaou, Niko A method to predict patient‐specific table coordinates for quality assurance in external beam radiation therapy |
title | A method to predict patient‐specific table coordinates for quality assurance in external beam radiation therapy |
title_full | A method to predict patient‐specific table coordinates for quality assurance in external beam radiation therapy |
title_fullStr | A method to predict patient‐specific table coordinates for quality assurance in external beam radiation therapy |
title_full_unstemmed | A method to predict patient‐specific table coordinates for quality assurance in external beam radiation therapy |
title_short | A method to predict patient‐specific table coordinates for quality assurance in external beam radiation therapy |
title_sort | method to predict patient‐specific table coordinates for quality assurance in external beam radiation therapy |
topic | Radiation Oncology Physics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6123132/ https://www.ncbi.nlm.nih.gov/pubmed/30085393 http://dx.doi.org/10.1002/acm2.12428 |
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