Development of an integrated Monte Carlo model for glioblastoma multiforme treated with boron neutron capture therapy

Abstract Glioblastomas (GBM) are notorious for their high fatality rate. Boron Neutron Capture Therapy (BNCT) being a biochemically targeted type of radiotherapy is a potent modality for GBM. In the current work, a BNCT treatment modelling framework for GBM was developed. Optimal Clinical Target Vol...

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Autores principales:	Leyla Moghaddasi, Eva Bezak
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2017
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/0ddd9c6f3cff41bb97de41e1d1be2bb8
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spelling	oai:doaj.org-article:0ddd9c6f3cff41bb97de41e1d1be2bb82021-12-02T11:40:58ZDevelopment of an integrated Monte Carlo model for glioblastoma multiforme treated with boron neutron capture therapy10.1038/s41598-017-07302-92045-2322https://doaj.org/article/0ddd9c6f3cff41bb97de41e1d1be2bb82017-08-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-07302-9https://doaj.org/toc/2045-2322Abstract Glioblastomas (GBM) are notorious for their high fatality rate. Boron Neutron Capture Therapy (BNCT) being a biochemically targeted type of radiotherapy is a potent modality for GBM. In the current work, a BNCT treatment modelling framework for GBM was developed. Optimal Clinical Target Volume (CTV) margins for GBM-BNCT and the BNCT efficacy have been investigated. The model integrated a cell-based dosimetry model, an in-house-developed epithermal neutron beam model and previously-developed Microscopic Extension Probability (MEP) model. The system was defined as a cubic ICRP-brain phantom divided into 20 μm side voxels. The corresponding 10B concentrations in GBM and normal brain cells were applied. The in-silico model was irradiated with the epithermal neutron beam using 2 and 2.5 cm CTV margins. Results from the cell-based dosimetry and the MEP models were combined to calculate GBM cell survival fractions (SF) post BNCT and compared to x-ray radiotherapy (XRT) SFs. Compared to XRT, the SF within the beam decreased by five orders of magnitudes and the total SF was reduced three times following BNCT. CTV extension by 0.5 cm reduced the SF by additional (53.8 ± 0.3)%. In conclusion, BNCT results in a more efficient cell kill. The extension of the CTV margin, however, may not increase the treatment outcome significantly.Leyla MoghaddasiEva BezakNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-14 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Leyla Moghaddasi Eva Bezak Development of an integrated Monte Carlo model for glioblastoma multiforme treated with boron neutron capture therapy
description	Abstract Glioblastomas (GBM) are notorious for their high fatality rate. Boron Neutron Capture Therapy (BNCT) being a biochemically targeted type of radiotherapy is a potent modality for GBM. In the current work, a BNCT treatment modelling framework for GBM was developed. Optimal Clinical Target Volume (CTV) margins for GBM-BNCT and the BNCT efficacy have been investigated. The model integrated a cell-based dosimetry model, an in-house-developed epithermal neutron beam model and previously-developed Microscopic Extension Probability (MEP) model. The system was defined as a cubic ICRP-brain phantom divided into 20 μm side voxels. The corresponding 10B concentrations in GBM and normal brain cells were applied. The in-silico model was irradiated with the epithermal neutron beam using 2 and 2.5 cm CTV margins. Results from the cell-based dosimetry and the MEP models were combined to calculate GBM cell survival fractions (SF) post BNCT and compared to x-ray radiotherapy (XRT) SFs. Compared to XRT, the SF within the beam decreased by five orders of magnitudes and the total SF was reduced three times following BNCT. CTV extension by 0.5 cm reduced the SF by additional (53.8 ± 0.3)%. In conclusion, BNCT results in a more efficient cell kill. The extension of the CTV margin, however, may not increase the treatment outcome significantly.
format	article
author	Leyla Moghaddasi Eva Bezak
author_facet	Leyla Moghaddasi Eva Bezak
author_sort	Leyla Moghaddasi
title	Development of an integrated Monte Carlo model for glioblastoma multiforme treated with boron neutron capture therapy
title_short	Development of an integrated Monte Carlo model for glioblastoma multiforme treated with boron neutron capture therapy
title_full	Development of an integrated Monte Carlo model for glioblastoma multiforme treated with boron neutron capture therapy
title_fullStr	Development of an integrated Monte Carlo model for glioblastoma multiforme treated with boron neutron capture therapy
title_full_unstemmed	Development of an integrated Monte Carlo model for glioblastoma multiforme treated with boron neutron capture therapy
title_sort	development of an integrated monte carlo model for glioblastoma multiforme treated with boron neutron capture therapy
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/0ddd9c6f3cff41bb97de41e1d1be2bb8
work_keys_str_mv	AT leylamoghaddasi developmentofanintegratedmontecarlomodelforglioblastomamultiformetreatedwithboronneutroncapturetherapy AT evabezak developmentofanintegratedmontecarlomodelforglioblastomamultiformetreatedwithboronneutroncapturetherapy
_version_	1718395502849949696

Development of an integrated Monte Carlo model for glioblastoma multiforme treated with boron neutron capture therapy

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