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Improving the efficiency of breast radiotherapy treatment planning using a semi‐automated approach

OBJECTIVES: To reduce treatment planning times while maintaining plan quality through the introduction of semi‐automated planning techniques for breast radiotherapy. METHODS: Automatic critical structure delineation was examined using the Smart Probabilistic Image Contouring Engine (SPICE) commercia...

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Autores principales: Mitchell, Robert A, Wai, Philip, Colgan, Ruth, Kirby, Anna M, Donovan, Ellen M
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5689888/
https://www.ncbi.nlm.nih.gov/pubmed/28291912
http://dx.doi.org/10.1002/acm2.12006
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author Mitchell, Robert A
Wai, Philip
Colgan, Ruth
Kirby, Anna M
Donovan, Ellen M
author_facet Mitchell, Robert A
Wai, Philip
Colgan, Ruth
Kirby, Anna M
Donovan, Ellen M
author_sort Mitchell, Robert A
collection PubMed
description OBJECTIVES: To reduce treatment planning times while maintaining plan quality through the introduction of semi‐automated planning techniques for breast radiotherapy. METHODS: Automatic critical structure delineation was examined using the Smart Probabilistic Image Contouring Engine (SPICE) commercial autosegmentation software (Philips Radiation Oncology Systems, Fitchburg, WI) for a cohort of ten patients. Semiautomated planning was investigated by employing scripting in the treatment planning system to automate segment creation for breast step‐and‐shoot planning and create objectives for segment weight optimization; considerations were made for three different multileaf collimator (MLC) configurations. Forty patients were retrospectively planned using the script and a planning time comparison performed. RESULTS: The SPICE heart and lung outlines agreed closely with clinician‐defined outlines (median Dice Similarity Coefficient > 0.9); median difference in mean heart dose was 0.0 cGy (range −10.8 to 5.4 cGy). Scripted treatment plans demonstrated equivalence with their clinical counterparts. No statistically significant differences were found for target parameters. Minimal ipsilateral lung dose increases were also observed. Statistically significant (P < 0.01) time reductions were achievable for MLCi and Agility MLC (Elekta Ltd, Crawley, UK) plans (median 4.9 and 5.9 min, respectively). CONCLUSIONS: The use of commercial autosegmentation software enables breast plan adjustment based on doses to organs at risk. Semi‐automated techniques for breast radiotherapy planning offer modest reductions in planning times. However, in the context of a typical department's breast radiotherapy workload, minor savings per plan translate into greater efficiencies overall.
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spelling pubmed-56898882018-04-02 Improving the efficiency of breast radiotherapy treatment planning using a semi‐automated approach Mitchell, Robert A Wai, Philip Colgan, Ruth Kirby, Anna M Donovan, Ellen M J Appl Clin Med Phys Radiation Oncology Physics OBJECTIVES: To reduce treatment planning times while maintaining plan quality through the introduction of semi‐automated planning techniques for breast radiotherapy. METHODS: Automatic critical structure delineation was examined using the Smart Probabilistic Image Contouring Engine (SPICE) commercial autosegmentation software (Philips Radiation Oncology Systems, Fitchburg, WI) for a cohort of ten patients. Semiautomated planning was investigated by employing scripting in the treatment planning system to automate segment creation for breast step‐and‐shoot planning and create objectives for segment weight optimization; considerations were made for three different multileaf collimator (MLC) configurations. Forty patients were retrospectively planned using the script and a planning time comparison performed. RESULTS: The SPICE heart and lung outlines agreed closely with clinician‐defined outlines (median Dice Similarity Coefficient > 0.9); median difference in mean heart dose was 0.0 cGy (range −10.8 to 5.4 cGy). Scripted treatment plans demonstrated equivalence with their clinical counterparts. No statistically significant differences were found for target parameters. Minimal ipsilateral lung dose increases were also observed. Statistically significant (P < 0.01) time reductions were achievable for MLCi and Agility MLC (Elekta Ltd, Crawley, UK) plans (median 4.9 and 5.9 min, respectively). CONCLUSIONS: The use of commercial autosegmentation software enables breast plan adjustment based on doses to organs at risk. Semi‐automated techniques for breast radiotherapy planning offer modest reductions in planning times. However, in the context of a typical department's breast radiotherapy workload, minor savings per plan translate into greater efficiencies overall. John Wiley and Sons Inc. 2016-11-30 /pmc/articles/PMC5689888/ /pubmed/28291912 http://dx.doi.org/10.1002/acm2.12006 Text en © 2016 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 Creative Commons Attribution (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
Mitchell, Robert A
Wai, Philip
Colgan, Ruth
Kirby, Anna M
Donovan, Ellen M
Improving the efficiency of breast radiotherapy treatment planning using a semi‐automated approach
title Improving the efficiency of breast radiotherapy treatment planning using a semi‐automated approach
title_full Improving the efficiency of breast radiotherapy treatment planning using a semi‐automated approach
title_fullStr Improving the efficiency of breast radiotherapy treatment planning using a semi‐automated approach
title_full_unstemmed Improving the efficiency of breast radiotherapy treatment planning using a semi‐automated approach
title_short Improving the efficiency of breast radiotherapy treatment planning using a semi‐automated approach
title_sort improving the efficiency of breast radiotherapy treatment planning using a semi‐automated approach
topic Radiation Oncology Physics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5689888/
https://www.ncbi.nlm.nih.gov/pubmed/28291912
http://dx.doi.org/10.1002/acm2.12006
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