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Primary study of the relative and compound biological effectiveness model for boron neutron capture therapy based on nanodosimetry.

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Title: Primary study of the relative and compound biological effectiveness model for boron neutron capture therapy based on nanodosimetry.
Authors: Mao, Haijun1,2 (AUTHOR), Zhang, Hui1,3 (AUTHOR), Luo, Ying1,3 (AUTHOR), Yang, Jingfen1,3 (AUTHOR), Liu, Yinuo1,4 (AUTHOR), Zhang, Shichao1,2 (AUTHOR), Chen, Weiqiang1,3,5 (AUTHOR), Li, Qiang1,3,5 (AUTHOR), Dai, Zhongying1,3 (AUTHOR) daizhongying@impcas.ac.cn
Source: Medical Physics. Apr2024, Vol. 51 Issue 4, p3076-3092. 17p.
Subjects: Boron-neutron capture therapy, Biological models, Radiobiology, Particle tracks (Nuclear physics), Treatment effectiveness
Abstract: Background: The current radiobiological model employed for boron neutron capture therapy (BNCT) treatment planning, which relies on microdosimetry, fails to provide an accurate representation the biological effects of BNCT. The precision in calculating the relative biological effectiveness (RBE) and compound biological effectiveness (CBE) plays a pivotal role in determining the therapeutic efficacy of BNCT. Therefore, this study focuses on how to improve the accuracy of the biological effects of BNCT. Purpose: The purpose of this study is to propose new radiation biology models based on nanodosimetry to accurately assess RBE and CBE for BNCT. Methods: Nanodosimetry, rooted in ionization cluster size distributions (ICSD), introduces a novel approach to characterize radiation quality by effectively delineating RBE through the ion track structure at the nanoscale. In the context of prior research, this study presents a computational model for the nanoscale assessment of RBE and CBE. We establish a simplified model of DNA chromatin fiber using the Monte Carlo code TOPAS‐nBio to evaluate the applicability of ICSD to BNCT and compute nanodosimetric parameters. Results: Our investigation reveals that both homogeneous and heterogeneous nanodosimetric parameters, as well as the corresponding biological model coefficients α and β, along with RBE values, exhibit variations in response to varying intracellular 10B concentrations. Notably, the nanodosimetric parameter M1C2$M_1^{{{\mathrm{C}}}_2}$ effectively captures the fluctuations in model coefficients α and RBE. Conclusion: Our model facilitates a nanoscale analysis of BNCT, enabling predictions of nanodosimetric quantities for secondary ions as well as RBE, CBE, and other essential biological metrics related to the distribution of boron. This contribution significantly enhances the precision of RBE calculations and holds substantial promise for future applications in treatment planning. [ABSTRACT FROM AUTHOR]
Copyright of Medical Physics is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Label: Title
  Group: Ti
  Data: Primary study of the relative and compound biological effectiveness model for boron neutron capture therapy based on nanodosimetry.
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  Data: <searchLink fieldCode="AR" term="%22Mao%2C+Haijun%22">Mao, Haijun</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhang%2C+Hui%22">Zhang, Hui</searchLink><relatesTo>1,3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Luo%2C+Ying%22">Luo, Ying</searchLink><relatesTo>1,3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Yang%2C+Jingfen%22">Yang, Jingfen</searchLink><relatesTo>1,3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Liu%2C+Yinuo%22">Liu, Yinuo</searchLink><relatesTo>1,4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhang%2C+Shichao%22">Zhang, Shichao</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Chen%2C+Weiqiang%22">Chen, Weiqiang</searchLink><relatesTo>1,3,5</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Li%2C+Qiang%22">Li, Qiang</searchLink><relatesTo>1,3,5</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Dai%2C+Zhongying%22">Dai, Zhongying</searchLink><relatesTo>1,3</relatesTo> (AUTHOR)<i> daizhongying@impcas.ac.cn</i>
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  Data: <searchLink fieldCode="JN" term="%22Medical+Physics%22">Medical Physics</searchLink>. Apr2024, Vol. 51 Issue 4, p3076-3092. 17p.
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  Data: <searchLink fieldCode="DE" term="%22Boron-neutron+capture+therapy%22">Boron-neutron capture therapy</searchLink><br /><searchLink fieldCode="DE" term="%22Biological+models%22">Biological models</searchLink><br /><searchLink fieldCode="DE" term="%22Radiobiology%22">Radiobiology</searchLink><br /><searchLink fieldCode="DE" term="%22Particle+tracks+%28Nuclear+physics%29%22">Particle tracks (Nuclear physics)</searchLink><br /><searchLink fieldCode="DE" term="%22Treatment+effectiveness%22">Treatment effectiveness</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Background: The current radiobiological model employed for boron neutron capture therapy (BNCT) treatment planning, which relies on microdosimetry, fails to provide an accurate representation the biological effects of BNCT. The precision in calculating the relative biological effectiveness (RBE) and compound biological effectiveness (CBE) plays a pivotal role in determining the therapeutic efficacy of BNCT. Therefore, this study focuses on how to improve the accuracy of the biological effects of BNCT. Purpose: The purpose of this study is to propose new radiation biology models based on nanodosimetry to accurately assess RBE and CBE for BNCT. Methods: Nanodosimetry, rooted in ionization cluster size distributions (ICSD), introduces a novel approach to characterize radiation quality by effectively delineating RBE through the ion track structure at the nanoscale. In the context of prior research, this study presents a computational model for the nanoscale assessment of RBE and CBE. We establish a simplified model of DNA chromatin fiber using the Monte Carlo code TOPAS‐nBio to evaluate the applicability of ICSD to BNCT and compute nanodosimetric parameters. Results: Our investigation reveals that both homogeneous and heterogeneous nanodosimetric parameters, as well as the corresponding biological model coefficients α and β, along with RBE values, exhibit variations in response to varying intracellular 10B concentrations. Notably, the nanodosimetric parameter M1C2$M_1^{{{\mathrm{C}}}_2}$ effectively captures the fluctuations in model coefficients α and RBE. Conclusion: Our model facilitates a nanoscale analysis of BNCT, enabling predictions of nanodosimetric quantities for secondary ions as well as RBE, CBE, and other essential biological metrics related to the distribution of boron. This contribution significantly enhances the precision of RBE calculations and holds substantial promise for future applications in treatment planning. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Medical Physics is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1002/mp.16998
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        Text: English
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        PageCount: 17
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      – SubjectFull: Boron-neutron capture therapy
        Type: general
      – SubjectFull: Biological models
        Type: general
      – SubjectFull: Radiobiology
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      – SubjectFull: Particle tracks (Nuclear physics)
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      – SubjectFull: Treatment effectiveness
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            NameFull: Mao, Haijun
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              Text: Apr2024
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