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Estimation of the risk for radiation-induced liver disease following photon- or proton-beam radiosurgery of liver metastases

BACKGROUND: Radiotherapy of liver metastases is commonly being performed with photon-beam based stereotactic body radiation therapy (SBRT). The high risk for radiation-induced liver disease (RILD) is a limiting factor in these treatments. The use of proton-beam based SBRT could potentially improve t...

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Autores principales: Mondlane, Gracinda, Ureba, Ana, Gubanski, Michael, Lind, P A, Siegbahn, Albert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6196431/
https://www.ncbi.nlm.nih.gov/pubmed/30348194
http://dx.doi.org/10.1186/s13014-018-1151-6
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author Mondlane, Gracinda
Ureba, Ana
Gubanski, Michael
Lind, P A
Siegbahn, Albert
author_facet Mondlane, Gracinda
Ureba, Ana
Gubanski, Michael
Lind, P A
Siegbahn, Albert
author_sort Mondlane, Gracinda
collection PubMed
description BACKGROUND: Radiotherapy of liver metastases is commonly being performed with photon-beam based stereotactic body radiation therapy (SBRT). The high risk for radiation-induced liver disease (RILD) is a limiting factor in these treatments. The use of proton-beam based SBRT could potentially improve the sparing of the healthy part of the liver. The aim of this study was to use estimations of normal tissue complication probability (NTCP) to identify liver-metastases patients that could benefit from being treated with intensity-modulated proton therapy (IMPT), based on the reduction of the risk for RILD. METHODS: Ten liver metastases patients, previously treated with photon-beam based SBRT, were retrospectively planned with IMPT. A CTV-based robust optimisation (accounting for setup and range uncertainties), combined with a PTV-based conventional optimisation, was performed. A robustness criterion was defined for the CTV (V(95%) > 98% for at least 10 of the 12 simulated scenarios). The NTCP was estimated for different endpoints using the Lyman-Kutcher-Burman model. The ΔNTCP (NTCP(IMPT) − NTCP(SBRT)) for RILD was registered for each patient. The patients for which the NTCP (RILD) < 5% were also identified. A generic relative biological effectiveness of 1.1 was assumed for the proton beams. RESULTS: For all patients, the objectives set for the PTV and the robustness criterion set for the CTV were fulfilled with the IMPT plans. An improved sparing of the healthy part of the liver, right kidney, lungs, spinal cord and the skin was achieved with the IMPT plans, compared to the SBRT plans. Mean liver doses larger than the threshold value of 32 Gy led to NTCP values for RILD exceeding 5% (7 patients with SBRT and 3 patients with the IMPT plans). ΔNTCP values (RILD) ranging between − 98% and − 17% (7 patients) and between 0 and 2% (3 patients), were calculated. CONCLUSIONS: In this study, liver metastases patients that could benefit from being treated with IMPT, based on the NTCP reductions, were identified. The clinical implementation of such a model-based approach to select liver metastases patients to proton therapy needs to be made with caution while considering the uncertainties involved in the NTCP estimations.
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spelling pubmed-61964312018-10-30 Estimation of the risk for radiation-induced liver disease following photon- or proton-beam radiosurgery of liver metastases Mondlane, Gracinda Ureba, Ana Gubanski, Michael Lind, P A Siegbahn, Albert Radiat Oncol Research BACKGROUND: Radiotherapy of liver metastases is commonly being performed with photon-beam based stereotactic body radiation therapy (SBRT). The high risk for radiation-induced liver disease (RILD) is a limiting factor in these treatments. The use of proton-beam based SBRT could potentially improve the sparing of the healthy part of the liver. The aim of this study was to use estimations of normal tissue complication probability (NTCP) to identify liver-metastases patients that could benefit from being treated with intensity-modulated proton therapy (IMPT), based on the reduction of the risk for RILD. METHODS: Ten liver metastases patients, previously treated with photon-beam based SBRT, were retrospectively planned with IMPT. A CTV-based robust optimisation (accounting for setup and range uncertainties), combined with a PTV-based conventional optimisation, was performed. A robustness criterion was defined for the CTV (V(95%) > 98% for at least 10 of the 12 simulated scenarios). The NTCP was estimated for different endpoints using the Lyman-Kutcher-Burman model. The ΔNTCP (NTCP(IMPT) − NTCP(SBRT)) for RILD was registered for each patient. The patients for which the NTCP (RILD) < 5% were also identified. A generic relative biological effectiveness of 1.1 was assumed for the proton beams. RESULTS: For all patients, the objectives set for the PTV and the robustness criterion set for the CTV were fulfilled with the IMPT plans. An improved sparing of the healthy part of the liver, right kidney, lungs, spinal cord and the skin was achieved with the IMPT plans, compared to the SBRT plans. Mean liver doses larger than the threshold value of 32 Gy led to NTCP values for RILD exceeding 5% (7 patients with SBRT and 3 patients with the IMPT plans). ΔNTCP values (RILD) ranging between − 98% and − 17% (7 patients) and between 0 and 2% (3 patients), were calculated. CONCLUSIONS: In this study, liver metastases patients that could benefit from being treated with IMPT, based on the NTCP reductions, were identified. The clinical implementation of such a model-based approach to select liver metastases patients to proton therapy needs to be made with caution while considering the uncertainties involved in the NTCP estimations. BioMed Central 2018-10-22 /pmc/articles/PMC6196431/ /pubmed/30348194 http://dx.doi.org/10.1186/s13014-018-1151-6 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Mondlane, Gracinda
Ureba, Ana
Gubanski, Michael
Lind, P A
Siegbahn, Albert
Estimation of the risk for radiation-induced liver disease following photon- or proton-beam radiosurgery of liver metastases
title Estimation of the risk for radiation-induced liver disease following photon- or proton-beam radiosurgery of liver metastases
title_full Estimation of the risk for radiation-induced liver disease following photon- or proton-beam radiosurgery of liver metastases
title_fullStr Estimation of the risk for radiation-induced liver disease following photon- or proton-beam radiosurgery of liver metastases
title_full_unstemmed Estimation of the risk for radiation-induced liver disease following photon- or proton-beam radiosurgery of liver metastases
title_short Estimation of the risk for radiation-induced liver disease following photon- or proton-beam radiosurgery of liver metastases
title_sort estimation of the risk for radiation-induced liver disease following photon- or proton-beam radiosurgery of liver metastases
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6196431/
https://www.ncbi.nlm.nih.gov/pubmed/30348194
http://dx.doi.org/10.1186/s13014-018-1151-6
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