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Bulk Anatomical Density Based Dose Calculation for Patient-Specific Quality Assurance of MRI-Only Prostate Radiotherapy
Prostate cancer treatment planning can be performed using magnetic resonance imaging (MRI) only with sCT scans. However, sCT scans are computer generated from MRI data and therefore robust, efficient, and accurate patient-specific quality assurance methods for dosimetric verification are required. B...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6783518/ https://www.ncbi.nlm.nih.gov/pubmed/31632921 http://dx.doi.org/10.3389/fonc.2019.00997 |
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author | Choi, Jae Hyuk Lee, Danny O'Connor, Laura Chalup, Stephan Welsh, James S. Dowling, Jason Greer, Peter B. |
author_facet | Choi, Jae Hyuk Lee, Danny O'Connor, Laura Chalup, Stephan Welsh, James S. Dowling, Jason Greer, Peter B. |
author_sort | Choi, Jae Hyuk |
collection | PubMed |
description | Prostate cancer treatment planning can be performed using magnetic resonance imaging (MRI) only with sCT scans. However, sCT scans are computer generated from MRI data and therefore robust, efficient, and accurate patient-specific quality assurance methods for dosimetric verification are required. Bulk anatomical density (BAD) maps can be generated based on anatomical contours derived from the MRI image. This study investigates and optimizes the BAD map approach for sCT quality assurance with a large patient CT and MRI dataset. 3D T2-weighted MRI and full density CT images of 54 patients were used to create BAD maps with different tissue class combinations. Mean Hounsfield units (HU) of Fat (F: below −30 HU), the entire Tissue [T: excluding bone (B)], and Muscle (M: excluding bone and fat) were derived from the CT scans. CT based BAD maps (BAD(BT,CT) and BAD(BMF,CT)) and a conventional bone and water bulk-density method (BAD(BW,CT)) were compared to full CT calculations with bone assignments to 366 HU (measured) and 288 HU (obtained from literature). Optimal bulk densities of Tissue for BAD(BT,CT) and Bone for BAD(BMF,CT) were derived to provide zero mean isocenter dose agreement to the CT plan. Using the optimal densities, the dose agreement of BAD(BT,CT) and BAD(BMF,CT) to CT was redetermined. These maps were then created for the MRI dataset using auto-generated contours and dose calculations compared to CT. The average mean density of Bone, Fat, Muscle, and Tissue were 365.5 ± 62.2, −109.5 ± 12.9, 23.3 ± 9.7, and −46.3 ± 15.2 HU, respectively. Comparing to other bulk-density maps, BAD(BMF,CT) maps provided the closest dose to CT. Calculated optimal mean densities of Tissue and Bone were −32.7 and 323.7 HU, respectively. The isocenter dose agreement of the optimal density assigned BAD(BT,CT) and BAD(BMF,CT) to full density CT were 0.10 ± 0.65% and 0.01 ± 0.45%, respectively. The isocenter dose agreement of MRI generated BAD(BT,MR) and BAD(BMF,MR) to full density CT were −0.15 ± 0.90% and −0.16 ± 0.65%, respectively. The BAD method with optimal bulk densities can provide robust, accurate and efficient patient-specific quality assurance for dose calculations in MRI-only radiotherapy. |
format | Online Article Text |
id | pubmed-6783518 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-67835182019-10-18 Bulk Anatomical Density Based Dose Calculation for Patient-Specific Quality Assurance of MRI-Only Prostate Radiotherapy Choi, Jae Hyuk Lee, Danny O'Connor, Laura Chalup, Stephan Welsh, James S. Dowling, Jason Greer, Peter B. Front Oncol Oncology Prostate cancer treatment planning can be performed using magnetic resonance imaging (MRI) only with sCT scans. However, sCT scans are computer generated from MRI data and therefore robust, efficient, and accurate patient-specific quality assurance methods for dosimetric verification are required. Bulk anatomical density (BAD) maps can be generated based on anatomical contours derived from the MRI image. This study investigates and optimizes the BAD map approach for sCT quality assurance with a large patient CT and MRI dataset. 3D T2-weighted MRI and full density CT images of 54 patients were used to create BAD maps with different tissue class combinations. Mean Hounsfield units (HU) of Fat (F: below −30 HU), the entire Tissue [T: excluding bone (B)], and Muscle (M: excluding bone and fat) were derived from the CT scans. CT based BAD maps (BAD(BT,CT) and BAD(BMF,CT)) and a conventional bone and water bulk-density method (BAD(BW,CT)) were compared to full CT calculations with bone assignments to 366 HU (measured) and 288 HU (obtained from literature). Optimal bulk densities of Tissue for BAD(BT,CT) and Bone for BAD(BMF,CT) were derived to provide zero mean isocenter dose agreement to the CT plan. Using the optimal densities, the dose agreement of BAD(BT,CT) and BAD(BMF,CT) to CT was redetermined. These maps were then created for the MRI dataset using auto-generated contours and dose calculations compared to CT. The average mean density of Bone, Fat, Muscle, and Tissue were 365.5 ± 62.2, −109.5 ± 12.9, 23.3 ± 9.7, and −46.3 ± 15.2 HU, respectively. Comparing to other bulk-density maps, BAD(BMF,CT) maps provided the closest dose to CT. Calculated optimal mean densities of Tissue and Bone were −32.7 and 323.7 HU, respectively. The isocenter dose agreement of the optimal density assigned BAD(BT,CT) and BAD(BMF,CT) to full density CT were 0.10 ± 0.65% and 0.01 ± 0.45%, respectively. The isocenter dose agreement of MRI generated BAD(BT,MR) and BAD(BMF,MR) to full density CT were −0.15 ± 0.90% and −0.16 ± 0.65%, respectively. The BAD method with optimal bulk densities can provide robust, accurate and efficient patient-specific quality assurance for dose calculations in MRI-only radiotherapy. Frontiers Media S.A. 2019-10-02 /pmc/articles/PMC6783518/ /pubmed/31632921 http://dx.doi.org/10.3389/fonc.2019.00997 Text en Copyright © 2019 Choi, Lee, O'Connor, Chalup, Welsh, Dowling and Greer. http://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 Choi, Jae Hyuk Lee, Danny O'Connor, Laura Chalup, Stephan Welsh, James S. Dowling, Jason Greer, Peter B. Bulk Anatomical Density Based Dose Calculation for Patient-Specific Quality Assurance of MRI-Only Prostate Radiotherapy |
title | Bulk Anatomical Density Based Dose Calculation for Patient-Specific Quality Assurance of MRI-Only Prostate Radiotherapy |
title_full | Bulk Anatomical Density Based Dose Calculation for Patient-Specific Quality Assurance of MRI-Only Prostate Radiotherapy |
title_fullStr | Bulk Anatomical Density Based Dose Calculation for Patient-Specific Quality Assurance of MRI-Only Prostate Radiotherapy |
title_full_unstemmed | Bulk Anatomical Density Based Dose Calculation for Patient-Specific Quality Assurance of MRI-Only Prostate Radiotherapy |
title_short | Bulk Anatomical Density Based Dose Calculation for Patient-Specific Quality Assurance of MRI-Only Prostate Radiotherapy |
title_sort | bulk anatomical density based dose calculation for patient-specific quality assurance of mri-only prostate radiotherapy |
topic | Oncology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6783518/ https://www.ncbi.nlm.nih.gov/pubmed/31632921 http://dx.doi.org/10.3389/fonc.2019.00997 |
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