Cargando…

Radiobiological and dosimetric impact of RayStation pencil beam and Monte Carlo algorithms on intensity‐modulated proton therapy breast cancer plans

PURPOSE: RayStation treatment planning system employs pencil beam (PB) and Monte Carlo (MC) algorithms for proton dose calculations. The purpose of this study is to evaluate the radiobiological and dosimetric impact of RayStation PB and MC algorithms on the intensity‐modulated proton therapy (IMPT)...

Descripción completa

Detalles Bibliográficos
Autores principales: Rana, Suresh, Greco, Kevin, Samuel, E. James Jebaseelan, Bennouna, Jaafar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6698765/
https://www.ncbi.nlm.nih.gov/pubmed/31343826
http://dx.doi.org/10.1002/acm2.12676
_version_ 1783444610699231232
author Rana, Suresh
Greco, Kevin
Samuel, E. James Jebaseelan
Bennouna, Jaafar
author_facet Rana, Suresh
Greco, Kevin
Samuel, E. James Jebaseelan
Bennouna, Jaafar
author_sort Rana, Suresh
collection PubMed
description PURPOSE: RayStation treatment planning system employs pencil beam (PB) and Monte Carlo (MC) algorithms for proton dose calculations. The purpose of this study is to evaluate the radiobiological and dosimetric impact of RayStation PB and MC algorithms on the intensity‐modulated proton therapy (IMPT) breast plans. METHODS: The current study included ten breast cancer patients, and each patient was treated with 1–2 proton beams to the whole breast/chestwall (CW) and regional lymph nodes in 28 fractions for a total dose of 50.4 Gy relative biological effectiveness (RBE). A total clinical target volume (CTV_Total) was generated by combining individual CTVs: AxI, AxII, AxIII, CW, IMN, and SCVN. All beams in the study were treated with a range shifter (7.5 cm water equivalent thickness). For each patient, three sets of plans were generated: (a) PB optimization followed by PB dose calculation (PB‐PB), (b) PB optimization followed by MC dose calculation (PB‐MC), and (c) MC optimization followed by MC dose calculation (MC‐MC). For a given patient, each plan was robustly optimized on the CTVs with same parameters and objectives. Treatment plans were evaluated using dosimetric and radiobiological indices (equivalent uniform dose (EUD), tumor control probability (TCP), and normal tissue complication probability (NTCP)). RESULTS: The results are averaged over ten breast cancer patients. In comparison to PB‐PB plans, PB‐MC plans showed a reduction in CTV target dose by 5.3% for D(99%) and 4.1% for D(95%), as well as a reduction in TCP by 1.5–2.1%. Similarly, PB overestimated the EUD of target volumes by 1.8─3.2 Gy(RBE). In contrast, MC‐MC plans achieved similar dosimetric and radiobiological (EUD and TCP) results as the ones in PB‐PB plans. A selection of one dose calculation algorithm over another did not produce any noticeable differences in the NTCP of the heart, lung, and skin. CONCLUSION: If MC is more accurate than PB as reported in the literature, dosimetric and radiobiological results from the current study suggest that PB overestimates the target dose, EUD, and TCP for IMPT breast cancer treatment. The overestimation of dosimetric and radiobiological results of the target volume by PB needs to be further interpreted in terms of clinical outcome.
format Online
Article
Text
id pubmed-6698765
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher John Wiley and Sons Inc.
record_format MEDLINE/PubMed
spelling pubmed-66987652019-08-22 Radiobiological and dosimetric impact of RayStation pencil beam and Monte Carlo algorithms on intensity‐modulated proton therapy breast cancer plans Rana, Suresh Greco, Kevin Samuel, E. James Jebaseelan Bennouna, Jaafar J Appl Clin Med Phys Radiation Oncology Physics PURPOSE: RayStation treatment planning system employs pencil beam (PB) and Monte Carlo (MC) algorithms for proton dose calculations. The purpose of this study is to evaluate the radiobiological and dosimetric impact of RayStation PB and MC algorithms on the intensity‐modulated proton therapy (IMPT) breast plans. METHODS: The current study included ten breast cancer patients, and each patient was treated with 1–2 proton beams to the whole breast/chestwall (CW) and regional lymph nodes in 28 fractions for a total dose of 50.4 Gy relative biological effectiveness (RBE). A total clinical target volume (CTV_Total) was generated by combining individual CTVs: AxI, AxII, AxIII, CW, IMN, and SCVN. All beams in the study were treated with a range shifter (7.5 cm water equivalent thickness). For each patient, three sets of plans were generated: (a) PB optimization followed by PB dose calculation (PB‐PB), (b) PB optimization followed by MC dose calculation (PB‐MC), and (c) MC optimization followed by MC dose calculation (MC‐MC). For a given patient, each plan was robustly optimized on the CTVs with same parameters and objectives. Treatment plans were evaluated using dosimetric and radiobiological indices (equivalent uniform dose (EUD), tumor control probability (TCP), and normal tissue complication probability (NTCP)). RESULTS: The results are averaged over ten breast cancer patients. In comparison to PB‐PB plans, PB‐MC plans showed a reduction in CTV target dose by 5.3% for D(99%) and 4.1% for D(95%), as well as a reduction in TCP by 1.5–2.1%. Similarly, PB overestimated the EUD of target volumes by 1.8─3.2 Gy(RBE). In contrast, MC‐MC plans achieved similar dosimetric and radiobiological (EUD and TCP) results as the ones in PB‐PB plans. A selection of one dose calculation algorithm over another did not produce any noticeable differences in the NTCP of the heart, lung, and skin. CONCLUSION: If MC is more accurate than PB as reported in the literature, dosimetric and radiobiological results from the current study suggest that PB overestimates the target dose, EUD, and TCP for IMPT breast cancer treatment. The overestimation of dosimetric and radiobiological results of the target volume by PB needs to be further interpreted in terms of clinical outcome. John Wiley and Sons Inc. 2019-07-25 /pmc/articles/PMC6698765/ /pubmed/31343826 http://dx.doi.org/10.1002/acm2.12676 Text en © 2019 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
Rana, Suresh
Greco, Kevin
Samuel, E. James Jebaseelan
Bennouna, Jaafar
Radiobiological and dosimetric impact of RayStation pencil beam and Monte Carlo algorithms on intensity‐modulated proton therapy breast cancer plans
title Radiobiological and dosimetric impact of RayStation pencil beam and Monte Carlo algorithms on intensity‐modulated proton therapy breast cancer plans
title_full Radiobiological and dosimetric impact of RayStation pencil beam and Monte Carlo algorithms on intensity‐modulated proton therapy breast cancer plans
title_fullStr Radiobiological and dosimetric impact of RayStation pencil beam and Monte Carlo algorithms on intensity‐modulated proton therapy breast cancer plans
title_full_unstemmed Radiobiological and dosimetric impact of RayStation pencil beam and Monte Carlo algorithms on intensity‐modulated proton therapy breast cancer plans
title_short Radiobiological and dosimetric impact of RayStation pencil beam and Monte Carlo algorithms on intensity‐modulated proton therapy breast cancer plans
title_sort radiobiological and dosimetric impact of raystation pencil beam and monte carlo algorithms on intensity‐modulated proton therapy breast cancer plans
topic Radiation Oncology Physics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6698765/
https://www.ncbi.nlm.nih.gov/pubmed/31343826
http://dx.doi.org/10.1002/acm2.12676
work_keys_str_mv AT ranasuresh radiobiologicalanddosimetricimpactofraystationpencilbeamandmontecarloalgorithmsonintensitymodulatedprotontherapybreastcancerplans
AT grecokevin radiobiologicalanddosimetricimpactofraystationpencilbeamandmontecarloalgorithmsonintensitymodulatedprotontherapybreastcancerplans
AT samuelejamesjebaseelan radiobiologicalanddosimetricimpactofraystationpencilbeamandmontecarloalgorithmsonintensitymodulatedprotontherapybreastcancerplans
AT bennounajaafar radiobiologicalanddosimetricimpactofraystationpencilbeamandmontecarloalgorithmsonintensitymodulatedprotontherapybreastcancerplans