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Improving the clinical workflow of a MR-Linac by dosimetric evaluation of synthetic CT
Adaptive radiotherapy performed on the daily magnetic resonance imaging (MRI) is an option to improve the treatment quality. In the adapt-to-shape workflow of 1.5-T MR-Linac, the contours of structures are adjusted on the basis of patient daily MRI, and the adapted plan is recalculated on the MRI-ba...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9464932/ https://www.ncbi.nlm.nih.gov/pubmed/36106119 http://dx.doi.org/10.3389/fonc.2022.920443 |
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author | Tang, Bin Liu, Min Wang, Bingjie Diao, Peng Li, Jie Feng, Xi Wu, Fan Yao, Xinghong Liao, Xiongfei Hou, Qing Orlandini, Lucia Clara |
author_facet | Tang, Bin Liu, Min Wang, Bingjie Diao, Peng Li, Jie Feng, Xi Wu, Fan Yao, Xinghong Liao, Xiongfei Hou, Qing Orlandini, Lucia Clara |
author_sort | Tang, Bin |
collection | PubMed |
description | Adaptive radiotherapy performed on the daily magnetic resonance imaging (MRI) is an option to improve the treatment quality. In the adapt-to-shape workflow of 1.5-T MR-Linac, the contours of structures are adjusted on the basis of patient daily MRI, and the adapted plan is recalculated on the MRI-based synthetic computed tomography (syCT) generated by bulk density assignment. Because dosimetric accuracy of this strategy is a priority and requires evaluation, this study aims to explore the usefulness of adding an assessment of dosimetric errors associated with recalculation on syCT to the clinical workflow. Sixty-one patients, with various tumor sites, treated using a 1.5-T MR-Linac were included in this study. In Monaco V5.4, the target and organs at risk (OARs) were contoured, and a reference CT plan that contains information about the outlined contours, their average electron density (ED), and the priority of ED assignment was generated. To evaluate the dosimetric error of syCT caused by the inherent approximation within bulk density assignment, the reference CT plan was recalculated on the syCT obtained from the reference CT by forcing all contoured structures to their mean ED defined on the reference plan. The dose–volume histogram (DVH) and dose distribution of the CT and syCT plan were compared. The causes of dosimetric discrepancies were investigated, and the reference plan was reworked to minimize errors if needed. For 54 patients, gamma analysis of the dose distribution on syCT and CT show a median pass rate of 99.7% and 98.5% with the criteria of 3%/3 mm and 2%/2 mm, respectively. DVH difference of targets and OARs remained less than 1.5% or 1 Gy. For the remaining patients, factors (i.e., inappropriate ED assignments) influenced the dosimetric agreement of the syCT vs. CT reference DVH by up to 21%. The causes of the errors were promptly identified, and the DVH dosimetry was realigned except for two lung treatments for which a significant discrepancy remained. The recalculation on the syCT obtained from the planning CT is a powerful tool to assess and decrease the minimal error committed during the adaptive plan on the MRI-based syCT. |
format | Online Article Text |
id | pubmed-9464932 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-94649322022-09-13 Improving the clinical workflow of a MR-Linac by dosimetric evaluation of synthetic CT Tang, Bin Liu, Min Wang, Bingjie Diao, Peng Li, Jie Feng, Xi Wu, Fan Yao, Xinghong Liao, Xiongfei Hou, Qing Orlandini, Lucia Clara Front Oncol Oncology Adaptive radiotherapy performed on the daily magnetic resonance imaging (MRI) is an option to improve the treatment quality. In the adapt-to-shape workflow of 1.5-T MR-Linac, the contours of structures are adjusted on the basis of patient daily MRI, and the adapted plan is recalculated on the MRI-based synthetic computed tomography (syCT) generated by bulk density assignment. Because dosimetric accuracy of this strategy is a priority and requires evaluation, this study aims to explore the usefulness of adding an assessment of dosimetric errors associated with recalculation on syCT to the clinical workflow. Sixty-one patients, with various tumor sites, treated using a 1.5-T MR-Linac were included in this study. In Monaco V5.4, the target and organs at risk (OARs) were contoured, and a reference CT plan that contains information about the outlined contours, their average electron density (ED), and the priority of ED assignment was generated. To evaluate the dosimetric error of syCT caused by the inherent approximation within bulk density assignment, the reference CT plan was recalculated on the syCT obtained from the reference CT by forcing all contoured structures to their mean ED defined on the reference plan. The dose–volume histogram (DVH) and dose distribution of the CT and syCT plan were compared. The causes of dosimetric discrepancies were investigated, and the reference plan was reworked to minimize errors if needed. For 54 patients, gamma analysis of the dose distribution on syCT and CT show a median pass rate of 99.7% and 98.5% with the criteria of 3%/3 mm and 2%/2 mm, respectively. DVH difference of targets and OARs remained less than 1.5% or 1 Gy. For the remaining patients, factors (i.e., inappropriate ED assignments) influenced the dosimetric agreement of the syCT vs. CT reference DVH by up to 21%. The causes of the errors were promptly identified, and the DVH dosimetry was realigned except for two lung treatments for which a significant discrepancy remained. The recalculation on the syCT obtained from the planning CT is a powerful tool to assess and decrease the minimal error committed during the adaptive plan on the MRI-based syCT. Frontiers Media S.A. 2022-08-29 /pmc/articles/PMC9464932/ /pubmed/36106119 http://dx.doi.org/10.3389/fonc.2022.920443 Text en Copyright © 2022 Tang, Liu, Wang, Diao, Li, Feng, Wu, Yao, Liao, Hou and Orlandini https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Oncology Tang, Bin Liu, Min Wang, Bingjie Diao, Peng Li, Jie Feng, Xi Wu, Fan Yao, Xinghong Liao, Xiongfei Hou, Qing Orlandini, Lucia Clara Improving the clinical workflow of a MR-Linac by dosimetric evaluation of synthetic CT |
title | Improving the clinical workflow of a MR-Linac by dosimetric evaluation of synthetic CT |
title_full | Improving the clinical workflow of a MR-Linac by dosimetric evaluation of synthetic CT |
title_fullStr | Improving the clinical workflow of a MR-Linac by dosimetric evaluation of synthetic CT |
title_full_unstemmed | Improving the clinical workflow of a MR-Linac by dosimetric evaluation of synthetic CT |
title_short | Improving the clinical workflow of a MR-Linac by dosimetric evaluation of synthetic CT |
title_sort | improving the clinical workflow of a mr-linac by dosimetric evaluation of synthetic ct |
topic | Oncology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9464932/ https://www.ncbi.nlm.nih.gov/pubmed/36106119 http://dx.doi.org/10.3389/fonc.2022.920443 |
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