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Related Experiment Video

Updated: Jun 8, 2026

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

Radiobiological effect based treatment plan optimization with the linear quadratic model.

Stefan Schell¹, Jan J Wilkens, Uwe Oelfke

¹German Cancer Research Center, Department of Medical Physics in Radiation Oncology, 69120 Heidelberg, Germany. stefan.schell@tum.de

Zeitschrift Fur Medizinische Physik

|September 14, 2010

Summary

This summary is machine-generated.

This study introduces biology-oriented treatment planning for radiation therapy, enabling effect-based optimization over dose-based methods. It highlights uncertainties in biological parameters, cautioning against alternative fractionation schemes for cancer treatment.

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

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Published on: February 6, 2019

Area of Science:

Medical Physics
Radiation Oncology
Computational Biology

Background:

Current external beam radiation therapy planning relies on dose-based optimization.
A more biology-oriented approach is needed to better balance target coverage and normal tissue sparing.
Understanding radiation damage at a local level is crucial for optimizing treatment efficacy.

Purpose of the Study:

To incorporate local radiation damage models into 3D treatment planning for external beam radiation therapy.
To enable effect-based optimization, moving beyond traditional dose-based planning.
To facilitate the comparison of different fractionation schemes and analyze their biological impact.

Main Methods:

Integration of local radiation damage models, based on the linear-quadratic model, into inverse treatment planning software (KonRad).
Development of a 3D voxel-based system for qualitative and quantitative analysis of radiation damage.
Utilization of effective dose-volume histograms for visualizing treatment outcomes.

Main Results:

Demonstrated differences between conventional dose-based and novel biological treatment planning.
Enabled analysis of radiation damage in relation to fractionation schemes and tissue-specific parameters.
Analyzed potential benefits and risks of hypofractionation for prostate cancer.

Conclusions:

Effect-based optimization offers a more biologically relevant approach to treatment planning.
The study suggests a conservative stance on alternative fractionation schemes due to uncertainties in biological parameters.
Reliable clinical predictions for novel fractionation strategies require further research to reduce biological parameter uncertainties.