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Data-driven RBE parameterization for helium ion beams.

A Mairani1, G Magro, I Dokic

  • 1Medical Physics Unit, CNAO Foundation, Via Strada Campeggi 53, I-27100 Pavia, Italy. Heidelberg Ion Beam Therapy Center, Im Neuenheimer Feld 450, D-69120 Heidelberg, Germany.

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|January 8, 2016
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Summary
This summary is machine-generated.

A new data-driven model provides relative biological effectiveness (RBE) values for helium ion therapy. This approach, based on the linear-quadratic model, aids treatment planning by correlating RBE with helium

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Area of Science:

  • Medical Physics
  • Radiation Oncology
  • Radiobiology

Background:

  • Helium ion beams are nearing clinical availability, necessitating accurate relative biological effectiveness (RBE) calculations for treatment planning.
  • Existing RBE models require refinement to incorporate helium ion specific parameters for precise dosimetry.

Purpose of the Study:

  • To develop a data-driven RBE parameterization for helium ion therapy within the linear-quadratic (LQ) model framework.
  • To provide analytic expressions for RBE as a function of helium linear energy transfer (LET), dose, and tissue-specific LQ parameters.
  • To validate the parameterization with experimental data and propose a formula for clinical implementation.

Main Methods:

  • Compiled and analyzed published in vitro experimental RBE data for helium ions.
  • Developed an RBE parameterization based on the linear-quadratic model, defining RBEα and Rβ ratios as functions of LET.
  • Conducted clonogenic experiments on A549 cells using a helium ion beam to assess RBE at low LET.
  • Validated the parameterization by comparing calculated RBE values (at 2 Gy and RBE10) with experimental results.

Main Results:

  • Achieved high correlation coefficients (0.85 for 2 Gy, 0.84 for RBE10) between calculated and experimental RBE values.
  • The proposed parameterization accurately reproduced experimental cell survival data within uncertainties.
  • Demonstrated that the RBE formula, dependent on dose, LET, and (α/β)ph, aligns with experimental findings.

Conclusions:

  • The developed data-driven RBE parameterization offers a reliable method for helium ion therapy treatment planning.
  • The proposed formula enables straightforward integration into treatment planning systems, enhancing clinical applicability.
  • This work supports the safe and effective clinical implementation of helium ion radiation therapy.