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Cleaning the dose falloff in lung SBRT plan

PURPOSE: To investigate a planning technique that can possibly reduce low‐to‐intermediate dose spillage (measured by R50%, D2cm values) in lung SBRT plans. MATERIALS AND METHODS: Dose falloff outside the target was studied retrospectively in 102 SBRT VMAT plans of lung tumor. Plans having R50% and/o...

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Autores principales: Desai, Dharmin, Narayanasamy, Ganesh, Bimali, Milan, Cordrey, Ivan, Elasmar, Hisham, Srinivasan, Senthamizhchelvan, Johnson, Ellis Lee
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7856511/
https://www.ncbi.nlm.nih.gov/pubmed/33285036
http://dx.doi.org/10.1002/acm2.13113
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author Desai, Dharmin
Narayanasamy, Ganesh
Bimali, Milan
Cordrey, Ivan
Elasmar, Hisham
Srinivasan, Senthamizhchelvan
Johnson, Ellis Lee
author_facet Desai, Dharmin
Narayanasamy, Ganesh
Bimali, Milan
Cordrey, Ivan
Elasmar, Hisham
Srinivasan, Senthamizhchelvan
Johnson, Ellis Lee
author_sort Desai, Dharmin
collection PubMed
description PURPOSE: To investigate a planning technique that can possibly reduce low‐to‐intermediate dose spillage (measured by R50%, D2cm values) in lung SBRT plans. MATERIALS AND METHODS: Dose falloff outside the target was studied retrospectively in 102 SBRT VMAT plans of lung tumor. Plans having R50% and/or D2cm higher than recommended tolerances in RTOG protocols 0813 and 0915 were replanned with new optimization constraints using novel shell structures and novel constraints. Violations in the RTOG R50% value can be rectified with a dose constraint to a novel shell structure (“OptiForR50”). The construction of structure OptiForR50% and the novel optimization criteria translate the RTOG goals for R50% into direct inputs for the optimizer. Violations in the D2cm can be rectified using constraints on a 0.5 cm thick shell structure with inner surface 2cm from the PTV surface. Wilcoxon signed‐rank test was used to compare differences in dose conformity, volume of hot spots, R50%, D2cm of the target in addition to the OAR doses. A two‐sided P‐value of 0.05 was used to assess statistical significance. RESULTS: Among 102 lung SBRT plans with PTV sizes ranging from 5 to 179 cc, 32 plans with violations in R50% or D2cm were reoptimized. The mean reduction in R50% (4.68 vs 3.89) and D2cm (56.49 vs 52.51) was statistically significant both having P < 0.01. Target conformity index, volume of 105% isodose contour outside PTV, normal lung V20, and mean dose to heart and aorta were significantly lowered with P < 0.05. CONCLUSION: The novel planning methodology using multiple shells including the novel OptiForR50 shell with precisely calculated dimensions and optimizer constraints lead to significantly lower values of R50% and D2cm and lower dose spillage in lung SBRT plans. All plans were successfully brought into the zone of no RTOG violations.
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spelling pubmed-78565112021-02-05 Cleaning the dose falloff in lung SBRT plan Desai, Dharmin Narayanasamy, Ganesh Bimali, Milan Cordrey, Ivan Elasmar, Hisham Srinivasan, Senthamizhchelvan Johnson, Ellis Lee J Appl Clin Med Phys Radiation Oncology Physics PURPOSE: To investigate a planning technique that can possibly reduce low‐to‐intermediate dose spillage (measured by R50%, D2cm values) in lung SBRT plans. MATERIALS AND METHODS: Dose falloff outside the target was studied retrospectively in 102 SBRT VMAT plans of lung tumor. Plans having R50% and/or D2cm higher than recommended tolerances in RTOG protocols 0813 and 0915 were replanned with new optimization constraints using novel shell structures and novel constraints. Violations in the RTOG R50% value can be rectified with a dose constraint to a novel shell structure (“OptiForR50”). The construction of structure OptiForR50% and the novel optimization criteria translate the RTOG goals for R50% into direct inputs for the optimizer. Violations in the D2cm can be rectified using constraints on a 0.5 cm thick shell structure with inner surface 2cm from the PTV surface. Wilcoxon signed‐rank test was used to compare differences in dose conformity, volume of hot spots, R50%, D2cm of the target in addition to the OAR doses. A two‐sided P‐value of 0.05 was used to assess statistical significance. RESULTS: Among 102 lung SBRT plans with PTV sizes ranging from 5 to 179 cc, 32 plans with violations in R50% or D2cm were reoptimized. The mean reduction in R50% (4.68 vs 3.89) and D2cm (56.49 vs 52.51) was statistically significant both having P < 0.01. Target conformity index, volume of 105% isodose contour outside PTV, normal lung V20, and mean dose to heart and aorta were significantly lowered with P < 0.05. CONCLUSION: The novel planning methodology using multiple shells including the novel OptiForR50 shell with precisely calculated dimensions and optimizer constraints lead to significantly lower values of R50% and D2cm and lower dose spillage in lung SBRT plans. All plans were successfully brought into the zone of no RTOG violations. John Wiley and Sons Inc. 2020-12-07 /pmc/articles/PMC7856511/ /pubmed/33285036 http://dx.doi.org/10.1002/acm2.13113 Text en © 2020 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
Desai, Dharmin
Narayanasamy, Ganesh
Bimali, Milan
Cordrey, Ivan
Elasmar, Hisham
Srinivasan, Senthamizhchelvan
Johnson, Ellis Lee
Cleaning the dose falloff in lung SBRT plan
title Cleaning the dose falloff in lung SBRT plan
title_full Cleaning the dose falloff in lung SBRT plan
title_fullStr Cleaning the dose falloff in lung SBRT plan
title_full_unstemmed Cleaning the dose falloff in lung SBRT plan
title_short Cleaning the dose falloff in lung SBRT plan
title_sort cleaning the dose falloff in lung sbrt plan
topic Radiation Oncology Physics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7856511/
https://www.ncbi.nlm.nih.gov/pubmed/33285036
http://dx.doi.org/10.1002/acm2.13113
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