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A quality control method for intensity‐modulated radiation therapy planning based on generalized equivalent uniform dose
To ensure good quality intensity‐modulated radiation therapy (IMRT) planning, we proposed the use of a quality control method based on generalized equivalent uniform dose (gEUD) that predicts absorbed radiation doses in organs at risk (OAR). We conducted a retrospective analysis of patients who unde...
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/PMC5978717/ https://www.ncbi.nlm.nih.gov/pubmed/29696777 http://dx.doi.org/10.1002/acm2.12331 |
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author | Pang, Haowen Sun, Xiaoyang Yang, Bo Wu, Jingbo |
author_facet | Pang, Haowen Sun, Xiaoyang Yang, Bo Wu, Jingbo |
author_sort | Pang, Haowen |
collection | PubMed |
description | To ensure good quality intensity‐modulated radiation therapy (IMRT) planning, we proposed the use of a quality control method based on generalized equivalent uniform dose (gEUD) that predicts absorbed radiation doses in organs at risk (OAR). We conducted a retrospective analysis of patients who underwent IMRT for the treatment of cervical carcinoma, nasopharyngeal carcinoma (NPC), or non‐small cell lung cancer (NSCLC). IMRT plans were randomly divided into data acquisition and data verification groups. OAR in the data acquisition group for cervical carcinoma and NPC were further classified as sub‐organs at risk (sOAR). The normalized volume of sOAR and normalized gEUD (a = 1) were analyzed using multiple linear regression to establish a fitting formula. For NSCLC, the normalized intersection volume of the planning target volume (PTV) and lung, the maximum diameter of the PTV (left–right, anterior–posterior, and superior–inferior), and the normalized gEUD (a = 1) were analyzed using multiple linear regression to establish a fitting formula for the lung gEUD (a = 1). The r‐squared and P values indicated that the fitting formula was a good fit. In the data verification group, IMRT plans verified the accuracy of the fitting formula, and compared the gEUD (a = 1) for each OAR between the subjective method and the gEUD‐based method. In conclusion, the gEUD‐based method can be used effectively for quality control and can reduce the influence of subjective factors on IMRT planning optimization. |
format | Online Article Text |
id | pubmed-5978717 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-59787172018-06-01 A quality control method for intensity‐modulated radiation therapy planning based on generalized equivalent uniform dose Pang, Haowen Sun, Xiaoyang Yang, Bo Wu, Jingbo J Appl Clin Med Phys Radiation Oncology Physics To ensure good quality intensity‐modulated radiation therapy (IMRT) planning, we proposed the use of a quality control method based on generalized equivalent uniform dose (gEUD) that predicts absorbed radiation doses in organs at risk (OAR). We conducted a retrospective analysis of patients who underwent IMRT for the treatment of cervical carcinoma, nasopharyngeal carcinoma (NPC), or non‐small cell lung cancer (NSCLC). IMRT plans were randomly divided into data acquisition and data verification groups. OAR in the data acquisition group for cervical carcinoma and NPC were further classified as sub‐organs at risk (sOAR). The normalized volume of sOAR and normalized gEUD (a = 1) were analyzed using multiple linear regression to establish a fitting formula. For NSCLC, the normalized intersection volume of the planning target volume (PTV) and lung, the maximum diameter of the PTV (left–right, anterior–posterior, and superior–inferior), and the normalized gEUD (a = 1) were analyzed using multiple linear regression to establish a fitting formula for the lung gEUD (a = 1). The r‐squared and P values indicated that the fitting formula was a good fit. In the data verification group, IMRT plans verified the accuracy of the fitting formula, and compared the gEUD (a = 1) for each OAR between the subjective method and the gEUD‐based method. In conclusion, the gEUD‐based method can be used effectively for quality control and can reduce the influence of subjective factors on IMRT planning optimization. John Wiley and Sons Inc. 2018-04-25 /pmc/articles/PMC5978717/ /pubmed/29696777 http://dx.doi.org/10.1002/acm2.12331 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 Pang, Haowen Sun, Xiaoyang Yang, Bo Wu, Jingbo A quality control method for intensity‐modulated radiation therapy planning based on generalized equivalent uniform dose |
title | A quality control method for intensity‐modulated radiation therapy planning based on generalized equivalent uniform dose |
title_full | A quality control method for intensity‐modulated radiation therapy planning based on generalized equivalent uniform dose |
title_fullStr | A quality control method for intensity‐modulated radiation therapy planning based on generalized equivalent uniform dose |
title_full_unstemmed | A quality control method for intensity‐modulated radiation therapy planning based on generalized equivalent uniform dose |
title_short | A quality control method for intensity‐modulated radiation therapy planning based on generalized equivalent uniform dose |
title_sort | quality control method for intensity‐modulated radiation therapy planning based on generalized equivalent uniform dose |
topic | Radiation Oncology Physics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5978717/ https://www.ncbi.nlm.nih.gov/pubmed/29696777 http://dx.doi.org/10.1002/acm2.12331 |
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