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Integration of biological factors in the treatment plan evaluation in breast cancer radiotherapy

BACKGROUND/PURPOSE: Tumor biology and patient smoking status have clear effects on the benefit of breast radiotherapy. This study developed treatment evaluation strategies that integrated dosimetry, tumor aggressiveness and smoking status for patients undergoing hypo-fractionated whole breast irradi...

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Autores principales: Svensson, Henrik, Lundstedt, Dan, Hällje, Maria, Gustafsson, Magnus, Chakarova, Roumiana, Karlsson, Per
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7807607/
https://www.ncbi.nlm.nih.gov/pubmed/33458278
http://dx.doi.org/10.1016/j.phro.2019.08.003
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author Svensson, Henrik
Lundstedt, Dan
Hällje, Maria
Gustafsson, Magnus
Chakarova, Roumiana
Karlsson, Per
author_facet Svensson, Henrik
Lundstedt, Dan
Hällje, Maria
Gustafsson, Magnus
Chakarova, Roumiana
Karlsson, Per
author_sort Svensson, Henrik
collection PubMed
description BACKGROUND/PURPOSE: Tumor biology and patient smoking status have clear effects on the benefit of breast radiotherapy. This study developed treatment evaluation strategies that integrated dosimetry, tumor aggressiveness and smoking status for patients undergoing hypo-fractionated whole breast irradiation with simultaneous integrated boost. MATERIALS/METHODS: The evaluation method Plan Quality Metrics (PQM) was adapted for breast cancer. Radiotherapy (RT) benefit was assessed for three levels of tumor aggressiveness; RT risk was estimated using mean dose to organs at risk and published Excess Relative Risk per Gy data for lung cancer and cardiac mortality for smokers and non-smokers. Risk for contralateral breast cancer was also evaluated. PQM and benefit/risk was applied to four patient groups (n = 10 each). Plans using 3D conformal radiotherapy (3DCRT), 3DCRT plus intensity-modulated radiation therapy (IMRT), 3DCRT plus volumetric modulated arc therapy (VMAT) and VMAT were evaluated for each patient. RESULTS: 3DCRT-IMRT hybrid planning resulted in higher PQM score (median 87.0 vs. 3DCRT 82.4, p < 0.01), better dose conformity, lower doses to the heart, lungs and contralateral breast. Survival benefit was most predominant for patients with high-risk breast cancer (>7% and >4.5% gain for non-smokers and smokers). For smokers with intermediate- or low-risk breast cancer, RT induced mortality risk dominated for all techniques. When considering the risk of local recurrence, RT benefitted also smokers (>5% and >2% for intermediate- and low-risk cancer). CONCLUSIONS: PQM methodology was suggested for breast cancer radiotherapy evaluation. Further validation is needed. RT was beneficial for all patients with high risk of recurrence. A survival benefit for smokers with low or intermediate risk of recurrence could not be confirmed.
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spelling pubmed-78076072021-01-14 Integration of biological factors in the treatment plan evaluation in breast cancer radiotherapy Svensson, Henrik Lundstedt, Dan Hällje, Maria Gustafsson, Magnus Chakarova, Roumiana Karlsson, Per Phys Imaging Radiat Oncol Original Research Article BACKGROUND/PURPOSE: Tumor biology and patient smoking status have clear effects on the benefit of breast radiotherapy. This study developed treatment evaluation strategies that integrated dosimetry, tumor aggressiveness and smoking status for patients undergoing hypo-fractionated whole breast irradiation with simultaneous integrated boost. MATERIALS/METHODS: The evaluation method Plan Quality Metrics (PQM) was adapted for breast cancer. Radiotherapy (RT) benefit was assessed for three levels of tumor aggressiveness; RT risk was estimated using mean dose to organs at risk and published Excess Relative Risk per Gy data for lung cancer and cardiac mortality for smokers and non-smokers. Risk for contralateral breast cancer was also evaluated. PQM and benefit/risk was applied to four patient groups (n = 10 each). Plans using 3D conformal radiotherapy (3DCRT), 3DCRT plus intensity-modulated radiation therapy (IMRT), 3DCRT plus volumetric modulated arc therapy (VMAT) and VMAT were evaluated for each patient. RESULTS: 3DCRT-IMRT hybrid planning resulted in higher PQM score (median 87.0 vs. 3DCRT 82.4, p < 0.01), better dose conformity, lower doses to the heart, lungs and contralateral breast. Survival benefit was most predominant for patients with high-risk breast cancer (>7% and >4.5% gain for non-smokers and smokers). For smokers with intermediate- or low-risk breast cancer, RT induced mortality risk dominated for all techniques. When considering the risk of local recurrence, RT benefitted also smokers (>5% and >2% for intermediate- and low-risk cancer). CONCLUSIONS: PQM methodology was suggested for breast cancer radiotherapy evaluation. Further validation is needed. RT was beneficial for all patients with high risk of recurrence. A survival benefit for smokers with low or intermediate risk of recurrence could not be confirmed. Elsevier 2019-08-30 /pmc/articles/PMC7807607/ /pubmed/33458278 http://dx.doi.org/10.1016/j.phro.2019.08.003 Text en © 2019 The Authors http://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
Svensson, Henrik
Lundstedt, Dan
Hällje, Maria
Gustafsson, Magnus
Chakarova, Roumiana
Karlsson, Per
Integration of biological factors in the treatment plan evaluation in breast cancer radiotherapy
title Integration of biological factors in the treatment plan evaluation in breast cancer radiotherapy
title_full Integration of biological factors in the treatment plan evaluation in breast cancer radiotherapy
title_fullStr Integration of biological factors in the treatment plan evaluation in breast cancer radiotherapy
title_full_unstemmed Integration of biological factors in the treatment plan evaluation in breast cancer radiotherapy
title_short Integration of biological factors in the treatment plan evaluation in breast cancer radiotherapy
title_sort integration of biological factors in the treatment plan evaluation in breast cancer radiotherapy
topic Original Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7807607/
https://www.ncbi.nlm.nih.gov/pubmed/33458278
http://dx.doi.org/10.1016/j.phro.2019.08.003
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