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Clinical workflow for MR-only simulation and planning in prostate
PURPOSE: To describe the details and experience of implementing a MR-only workflow in the clinic for simulation and planning of prostate cancer patients. METHODS: Forty-eight prostate cancer patients from June 2016 - Dec 2016 receiving external beam radiotherapy were scheduled to undergo MR-only sim...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5513123/ https://www.ncbi.nlm.nih.gov/pubmed/28716090 http://dx.doi.org/10.1186/s13014-017-0854-4 |
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author | Tyagi, Neelam Fontenla, Sandra Zelefsky, Michael Chong-Ton, Marcia Ostergren, Kyle Shah, Niral Warner, Lizette Kadbi, Mo Mechalakos, Jim Hunt, Margie |
author_facet | Tyagi, Neelam Fontenla, Sandra Zelefsky, Michael Chong-Ton, Marcia Ostergren, Kyle Shah, Niral Warner, Lizette Kadbi, Mo Mechalakos, Jim Hunt, Margie |
author_sort | Tyagi, Neelam |
collection | PubMed |
description | PURPOSE: To describe the details and experience of implementing a MR-only workflow in the clinic for simulation and planning of prostate cancer patients. METHODS: Forty-eight prostate cancer patients from June 2016 - Dec 2016 receiving external beam radiotherapy were scheduled to undergo MR-only simulation. MR images were acquired for contouring (T2w axial, coronal, sagittal), synthetic-CT generation (3D FFE-based) and fiducial identification (3D bFFE-based). The total acquisition time was 25 min. Syn-CT was generated at the console using commercial software called MRCAT. As part of acceptance testing of the MRCAT package, external laser positioning system QA (< 2 mm) and geometric fidelity QA (< 2 mm within 50 cm LR and 30 cm AP) were performed and baseline values were set. Our current combined CT + MR simulation process was modified to accommodate a MRCAT-based MR-only simulation workflow. An automated step-by-step process using a MIM™ workflow was created for contouring on the MR images. Patient setup for treatment was achieved by matching the MRCAT DRRs with the orthogonal KV radiographs based on either fiducial ROIs or bones. 3-D CBCTs were acquired and compared with the MR/syn-CT to assess the rectum and bladder filling compared to simulation conditions. RESULTS: Forty-two patients successfully underwent MR-only simulation and met all of our institutional dosimetric objectives that were developed based on a CT + MR-based workflow. The remaining six patients either had a hip prosthesis or their large body size fell outside of the geometric fidelity QA criteria and thus they were not candidates for MR-only simulation. A total time saving of ~15 min was achieved with MR-based simulation as compared to CT + MR-based simulation. An automated and organized MIM workflow made contouring on MR much easier, quicker and more accurate compared with combined CT + MR images because the temporal variations in normal structure was minimal. 2D and 3D treatment setup localization based on bones/fiducials using a MRCAT reference image was successfully achieved for all cases. CONCLUSIONS: MR-only simulation and planning with equivalent or superior target delineation, planning and treatment setup localization accuracy is feasible in a clinical setting. Future work will focus on implementing a robust 3D isotropic acquisition for contouring. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13014-017-0854-4) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5513123 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-55131232017-07-19 Clinical workflow for MR-only simulation and planning in prostate Tyagi, Neelam Fontenla, Sandra Zelefsky, Michael Chong-Ton, Marcia Ostergren, Kyle Shah, Niral Warner, Lizette Kadbi, Mo Mechalakos, Jim Hunt, Margie Radiat Oncol Research PURPOSE: To describe the details and experience of implementing a MR-only workflow in the clinic for simulation and planning of prostate cancer patients. METHODS: Forty-eight prostate cancer patients from June 2016 - Dec 2016 receiving external beam radiotherapy were scheduled to undergo MR-only simulation. MR images were acquired for contouring (T2w axial, coronal, sagittal), synthetic-CT generation (3D FFE-based) and fiducial identification (3D bFFE-based). The total acquisition time was 25 min. Syn-CT was generated at the console using commercial software called MRCAT. As part of acceptance testing of the MRCAT package, external laser positioning system QA (< 2 mm) and geometric fidelity QA (< 2 mm within 50 cm LR and 30 cm AP) were performed and baseline values were set. Our current combined CT + MR simulation process was modified to accommodate a MRCAT-based MR-only simulation workflow. An automated step-by-step process using a MIM™ workflow was created for contouring on the MR images. Patient setup for treatment was achieved by matching the MRCAT DRRs with the orthogonal KV radiographs based on either fiducial ROIs or bones. 3-D CBCTs were acquired and compared with the MR/syn-CT to assess the rectum and bladder filling compared to simulation conditions. RESULTS: Forty-two patients successfully underwent MR-only simulation and met all of our institutional dosimetric objectives that were developed based on a CT + MR-based workflow. The remaining six patients either had a hip prosthesis or their large body size fell outside of the geometric fidelity QA criteria and thus they were not candidates for MR-only simulation. A total time saving of ~15 min was achieved with MR-based simulation as compared to CT + MR-based simulation. An automated and organized MIM workflow made contouring on MR much easier, quicker and more accurate compared with combined CT + MR images because the temporal variations in normal structure was minimal. 2D and 3D treatment setup localization based on bones/fiducials using a MRCAT reference image was successfully achieved for all cases. CONCLUSIONS: MR-only simulation and planning with equivalent or superior target delineation, planning and treatment setup localization accuracy is feasible in a clinical setting. Future work will focus on implementing a robust 3D isotropic acquisition for contouring. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13014-017-0854-4) contains supplementary material, which is available to authorized users. BioMed Central 2017-07-17 /pmc/articles/PMC5513123/ /pubmed/28716090 http://dx.doi.org/10.1186/s13014-017-0854-4 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Tyagi, Neelam Fontenla, Sandra Zelefsky, Michael Chong-Ton, Marcia Ostergren, Kyle Shah, Niral Warner, Lizette Kadbi, Mo Mechalakos, Jim Hunt, Margie Clinical workflow for MR-only simulation and planning in prostate |
title | Clinical workflow for MR-only simulation and planning in prostate |
title_full | Clinical workflow for MR-only simulation and planning in prostate |
title_fullStr | Clinical workflow for MR-only simulation and planning in prostate |
title_full_unstemmed | Clinical workflow for MR-only simulation and planning in prostate |
title_short | Clinical workflow for MR-only simulation and planning in prostate |
title_sort | clinical workflow for mr-only simulation and planning in prostate |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5513123/ https://www.ncbi.nlm.nih.gov/pubmed/28716090 http://dx.doi.org/10.1186/s13014-017-0854-4 |
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