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Extension of matRad with a modified microdosimetric kinetic model for carbon ion treatment planning: Comparison with Monte Carlo calculation.

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Title: Extension of matRad with a modified microdosimetric kinetic model for carbon ion treatment planning: Comparison with Monte Carlo calculation.
Authors: Yoon, Euntaek1,2 (AUTHOR), Kim, Jung‐in2,3,4 (AUTHOR), Park, Jong Min2,3,4,5 (AUTHOR), Choi, Chang Heon2,3,4 (AUTHOR), Jung, Seongmoon2,3,5,6 (AUTHOR) smjung@snu.ac.kr
Source: Medical Physics. Sep2023, Vol. 50 Issue 9, p5884-5896. 13p.
Subjects: Carbon, Monte Carlo method
Abstract: Background: Treatment planning is essential for in silico particle therapy studies. matRad is an open‐source research treatment planning system (TPS) based on the local effect model, which is a type of relative biological effectiveness (RBE) model. Purpose: This study aims to implement a microdosimetric kinetic model (MKM) in matRad and develop an automation algorithm for Monte Carlo (MC) dose recalculation using the TOPAS code. In addition, we provide the developed MKM extension as open‐source tool for users. Methods: Carbon beam data were generated using TOPAS MC pencil beam irradiation. We parameterized the TOPAS MC beam data with a double‐Gaussian fit and modeled the integral depth doses and lateral spot profiles in the range of 100–430 MeV/u. To implement the MKM, the specific energy data table for Z = 1–6 and integrated depth‐specific energy data were acquired based on the Kiefer–Chatterjee track structure and TOPAS MC simulation, respectively. Generic data were integrated into matRad, and treatment planning was performed based on these data. The optimized plan parameters were automatically converted into MC simulation input. Finally, the matRad TPS and TOPAS MC simulations were compared using the RBE‐weighted dose calculation results. A comparison was made for three geometries: homogeneous water phantom, inhomogeneous phantom, and patient. Results: The RBE‐weighted dose (DRBE) distribution agreed with TOPAS MC within 1.8% for all target sizes for the homogeneous phantom. For the inhomogeneous phantom, the relative difference in the range of 80% of the prescription dose in the distal fall‐off region (R80) between the matRad TPS and TOPAS MC was 0.6% (1.1 mm). DRBE between the TPS and the MC was within 4.0%. In the patient case, the difference in the dose–volume histogram parameters for the target volume between the TPS and the MC was less than 2.7%. The relative difference in R80 was 0.7% (1.2 mm). Conclusions: The MKM was successfully implemented in matRad TPS, and the RBE‐weighted dose was comparable to that of TOPAS MC. The MKM‐implemented matRad was released as an open‐source tool. Further investigations with MC simulations can be conducted using this tool, providing a good option for carbon ion research. [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: Extension of matRad with a modified microdosimetric kinetic model for carbon ion treatment planning: Comparison with Monte Carlo calculation.
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  Data: <searchLink fieldCode="AR" term="%22Yoon%2C+Euntaek%22">Yoon, Euntaek</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kim%2C+Jung‐in%22">Kim, Jung‐in</searchLink><relatesTo>2,3,4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Park%2C+Jong+Min%22">Park, Jong Min</searchLink><relatesTo>2,3,4,5</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Choi%2C+Chang+Heon%22">Choi, Chang Heon</searchLink><relatesTo>2,3,4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Jung%2C+Seongmoon%22">Jung, Seongmoon</searchLink><relatesTo>2,3,5,6</relatesTo> (AUTHOR)<i> smjung@snu.ac.kr</i>
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  Data: <searchLink fieldCode="JN" term="%22Medical+Physics%22">Medical Physics</searchLink>. Sep2023, Vol. 50 Issue 9, p5884-5896. 13p.
– Name: Subject
  Label: Subjects
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  Data: <searchLink fieldCode="DE" term="%22Carbon%22">Carbon</searchLink><br /><searchLink fieldCode="DE" term="%22Monte+Carlo+method%22">Monte Carlo method</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Background: Treatment planning is essential for in silico particle therapy studies. matRad is an open‐source research treatment planning system (TPS) based on the local effect model, which is a type of relative biological effectiveness (RBE) model. Purpose: This study aims to implement a microdosimetric kinetic model (MKM) in matRad and develop an automation algorithm for Monte Carlo (MC) dose recalculation using the TOPAS code. In addition, we provide the developed MKM extension as open‐source tool for users. Methods: Carbon beam data were generated using TOPAS MC pencil beam irradiation. We parameterized the TOPAS MC beam data with a double‐Gaussian fit and modeled the integral depth doses and lateral spot profiles in the range of 100–430 MeV/u. To implement the MKM, the specific energy data table for Z = 1–6 and integrated depth‐specific energy data were acquired based on the Kiefer–Chatterjee track structure and TOPAS MC simulation, respectively. Generic data were integrated into matRad, and treatment planning was performed based on these data. The optimized plan parameters were automatically converted into MC simulation input. Finally, the matRad TPS and TOPAS MC simulations were compared using the RBE‐weighted dose calculation results. A comparison was made for three geometries: homogeneous water phantom, inhomogeneous phantom, and patient. Results: The RBE‐weighted dose (DRBE) distribution agreed with TOPAS MC within 1.8% for all target sizes for the homogeneous phantom. For the inhomogeneous phantom, the relative difference in the range of 80% of the prescription dose in the distal fall‐off region (R80) between the matRad TPS and TOPAS MC was 0.6% (1.1 mm). DRBE between the TPS and the MC was within 4.0%. In the patient case, the difference in the dose–volume histogram parameters for the target volume between the TPS and the MC was less than 2.7%. The relative difference in R80 was 0.7% (1.2 mm). Conclusions: The MKM was successfully implemented in matRad TPS, and the RBE‐weighted dose was comparable to that of TOPAS MC. The MKM‐implemented matRad was released as an open‐source tool. Further investigations with MC simulations can be conducted using this tool, providing a good option for carbon ion research. [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.16449
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        Text: English
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        PageCount: 13
        StartPage: 5884
    Subjects:
      – SubjectFull: Carbon
        Type: general
      – SubjectFull: Monte Carlo method
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    Titles:
      – TitleFull: Extension of matRad with a modified microdosimetric kinetic model for carbon ion treatment planning: Comparison with Monte Carlo calculation.
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            NameFull: Yoon, Euntaek
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            NameFull: Kim, Jung‐in
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            NameFull: Park, Jong Min
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            NameFull: Choi, Chang Heon
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            NameFull: Jung, Seongmoon
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            – D: 01
              M: 09
              Text: Sep2023
              Type: published
              Y: 2023
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