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Benchmarking daily adaptation using fully automated radiotherapy treatment plan optimization for rectal cancer

BACKGROUND/PURPOSE: In daily plan adaptation the radiotherapy treatment plan is adjusted just prior to delivery. A simple approach is taking the planning objectives of the reference plan and directly applying these in re-optimization. Here we present a tested method to verify whether daily adaptatio...

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Autores principales: Jagt, Thyrza Z., Janssen, Tomas M., Betgen, Anja, Wiersema, Lisa, Verhage, Rick, Garritsen, Sanne, Vijlbrief-Bosman, Tineke, de Ruiter, Peter, Remeijer, Peter, Marijnen, Corrie A.M., Peters, Femke P., Sonke, Jan-Jakob
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9450152/
https://www.ncbi.nlm.nih.gov/pubmed/36092772
http://dx.doi.org/10.1016/j.phro.2022.08.006
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author Jagt, Thyrza Z.
Janssen, Tomas M.
Betgen, Anja
Wiersema, Lisa
Verhage, Rick
Garritsen, Sanne
Vijlbrief-Bosman, Tineke
de Ruiter, Peter
Remeijer, Peter
Marijnen, Corrie A.M.
Peters, Femke P.
Sonke, Jan-Jakob
author_facet Jagt, Thyrza Z.
Janssen, Tomas M.
Betgen, Anja
Wiersema, Lisa
Verhage, Rick
Garritsen, Sanne
Vijlbrief-Bosman, Tineke
de Ruiter, Peter
Remeijer, Peter
Marijnen, Corrie A.M.
Peters, Femke P.
Sonke, Jan-Jakob
author_sort Jagt, Thyrza Z.
collection PubMed
description BACKGROUND/PURPOSE: In daily plan adaptation the radiotherapy treatment plan is adjusted just prior to delivery. A simple approach is taking the planning objectives of the reference plan and directly applying these in re-optimization. Here we present a tested method to verify whether daily adaptation without tweaking of the objectives can maintain the plan quality throughout treatment. MATERIALS/METHODS: For fifteen rectal cancer patients, automated treatment planning was used to generate plans mimicking manual reference plans on the planning scans. For 74 fraction scans (4–5 per patient) an automated plan and a daily adapted plan were generated, where the latter re-optimizes the reference plan objectives without any tweaking. To evaluate the robustness of the daily adaptation, the adapted plans were compared to the autoplanning plans. RESULTS: Median differences between the autoplanning plans on the planning scans and the reference plans were between −1 and 0.2 Gy. The largest interquartile range (1 Gy) was seen for the Lumbar Skin D2%. For the daily scans the PTV D2% and D98% differences between autoplanning and adapted plans were within [Formula: see text] 0.7 Gy, with mean differences within [Formula: see text] 0.3 Gy. Positive differences indicate higher values were obtained using autoplanning. For the Bowelarea + Bladder and the Lumbar Skin the D2% and Dmean differences were all within [Formula: see text] 2.6 Gy, with mean differences between −0.9 and 0.1 Gy. CONCLUSION: Automated treatment planning can be used to benchmark daily adaptation techniques. The investigated adaptation workflow can robustly perform high quality adaptations without daily adjusting of the patient-specific planning objectives for rectal cancer radiotherapy.
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spelling pubmed-94501522022-09-08 Benchmarking daily adaptation using fully automated radiotherapy treatment plan optimization for rectal cancer Jagt, Thyrza Z. Janssen, Tomas M. Betgen, Anja Wiersema, Lisa Verhage, Rick Garritsen, Sanne Vijlbrief-Bosman, Tineke de Ruiter, Peter Remeijer, Peter Marijnen, Corrie A.M. Peters, Femke P. Sonke, Jan-Jakob Phys Imaging Radiat Oncol Original Research Article BACKGROUND/PURPOSE: In daily plan adaptation the radiotherapy treatment plan is adjusted just prior to delivery. A simple approach is taking the planning objectives of the reference plan and directly applying these in re-optimization. Here we present a tested method to verify whether daily adaptation without tweaking of the objectives can maintain the plan quality throughout treatment. MATERIALS/METHODS: For fifteen rectal cancer patients, automated treatment planning was used to generate plans mimicking manual reference plans on the planning scans. For 74 fraction scans (4–5 per patient) an automated plan and a daily adapted plan were generated, where the latter re-optimizes the reference plan objectives without any tweaking. To evaluate the robustness of the daily adaptation, the adapted plans were compared to the autoplanning plans. RESULTS: Median differences between the autoplanning plans on the planning scans and the reference plans were between −1 and 0.2 Gy. The largest interquartile range (1 Gy) was seen for the Lumbar Skin D2%. For the daily scans the PTV D2% and D98% differences between autoplanning and adapted plans were within [Formula: see text] 0.7 Gy, with mean differences within [Formula: see text] 0.3 Gy. Positive differences indicate higher values were obtained using autoplanning. For the Bowelarea + Bladder and the Lumbar Skin the D2% and Dmean differences were all within [Formula: see text] 2.6 Gy, with mean differences between −0.9 and 0.1 Gy. CONCLUSION: Automated treatment planning can be used to benchmark daily adaptation techniques. The investigated adaptation workflow can robustly perform high quality adaptations without daily adjusting of the patient-specific planning objectives for rectal cancer radiotherapy. Elsevier 2022-08-18 /pmc/articles/PMC9450152/ /pubmed/36092772 http://dx.doi.org/10.1016/j.phro.2022.08.006 Text en © 2022 The Authors. Published by Elsevier B.V. on behalf of European Society of Radiotherapy & Oncology. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Original Research Article
Jagt, Thyrza Z.
Janssen, Tomas M.
Betgen, Anja
Wiersema, Lisa
Verhage, Rick
Garritsen, Sanne
Vijlbrief-Bosman, Tineke
de Ruiter, Peter
Remeijer, Peter
Marijnen, Corrie A.M.
Peters, Femke P.
Sonke, Jan-Jakob
Benchmarking daily adaptation using fully automated radiotherapy treatment plan optimization for rectal cancer
title Benchmarking daily adaptation using fully automated radiotherapy treatment plan optimization for rectal cancer
title_full Benchmarking daily adaptation using fully automated radiotherapy treatment plan optimization for rectal cancer
title_fullStr Benchmarking daily adaptation using fully automated radiotherapy treatment plan optimization for rectal cancer
title_full_unstemmed Benchmarking daily adaptation using fully automated radiotherapy treatment plan optimization for rectal cancer
title_short Benchmarking daily adaptation using fully automated radiotherapy treatment plan optimization for rectal cancer
title_sort benchmarking daily adaptation using fully automated radiotherapy treatment plan optimization for rectal cancer
topic Original Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9450152/
https://www.ncbi.nlm.nih.gov/pubmed/36092772
http://dx.doi.org/10.1016/j.phro.2022.08.006
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