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Related Experiment Video

Updated: May 30, 2025

Proton Therapy Delivery and Its Clinical Application in Select Solid Tumor Malignancies

Proton Therapy Delivery and Its Clinical Application in Select Solid Tumor Malignancies

Published on: February 6, 2019

Linear approximation of variable relative biological effectiveness models for proton therapy.

Dirk Wagenaar¹, Johannes A Langendijk¹, Stefan Both¹

¹Department of Radiation Oncology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands.

Physics and Imaging in Radiation Oncology

|January 31, 2025

Summary

This study presents a method to convert clinical data into RBE-LET slopes for brain, head, and neck cancer patients using McNamara (MCN) and Wedenberg (WED) models. This aids in determining alpha/beta values for radiation therapy.

Keywords:

Linear Energy Transfer (LET)Proton therapy Relative Biological Effectiveness (RBE)

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Irradiator Commissioning and Dosimetry for Assessment of LQ α and β Parameters, Radiation Dosing Schema, and in vivo Dose Deposition

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Irradiator Commissioning and Dosimetry for Assessment of LQ α and β Parameters, Radiation Dosing Schema, and in vivo Dose Deposition

Irradiator Commissioning and Dosimetry for Assessment of LQ α and β Parameters, Radiation Dosing Schema, and in vivo Dose Deposition

Published on: March 11, 2021

Area of Science:

Medical Physics
Radiation Oncology

Background:

Accurate relative biological effectiveness (RBE) calculations are crucial for optimizing radiation therapy, particularly for complex treatments like proton therapy.
The McNamara (MCN) and Wedenberg (WED) models are widely used for RBE-weighted dose calculations, but their application with clinical data requires careful parameterization.

Purpose of the Study:

To develop and validate a linear approximation method for MCN and WED RBE models.
To establish a practical approach for converting clinical radiobiological data into parameters usable by these RBE models.

Main Methods:

Calculated RBE-weighted dose (D_RBE) and dose-weighted average linear energy transfer (LET_d) in 20 brain, 20 head and neck, and 20 breast cancer patients.
Performed linear approximation for MCN and WED models to align with clinical dosimetric parameters.
Assessed goodness-of-fit using R-squared (R²) values.

Main Results:

Achieved high R² values (≥0.94 for MCN, ≥0.91 for WED) for alpha/beta (α/β) values ≥1.0 Gy.
Demonstrated the efficacy of the linear approximation for clinical applicability.
Generated conversion graphs correlating RBE-LET slopes with α/β values.

Conclusions:

The developed linear approximation provides a robust method for applying MCN and WED RBE models to clinical data.
The derived graphs facilitate the conversion of clinical RBE-LET slopes to α/β values, aiding in personalized radiation therapy planning.
This work supports improved understanding and application of RBE in clinical practice across various cancer types.