What question did this study set out to answer?

The aim is to integrate local effects and DNA damage to enhance cell survival model parameters.

January 14, 2026International Journal of Radiation Biology0 citations

A unified framework integrating local effect and DNA damage for the derivation of cell survival model parameters

Key Points

The aim is to integrate local effects and DNA damage to enhance cell survival model parameters.
Utilized LEM and DDM models to analyze DNA damage and local effects.
Employed a threshold local dose and threshold number of double-strand breaks (DSBs) in sub-volumes.
Assessed the impact of DSBs across multiple sub-volumes.
Showed that the number of affected sub-volumes is a better predictor for cell killing than DSB multiplicity per sub-volume.
Findings align with the predictions of the GLOBLE model.

Abstract

The overkill effect was reflected in the models based on LEM and DDM by employing threshold local dose and threshold number of DSBs in sub-volumes, respectively. Results suggest that the number of sub-volumes impacted with DSBs rather than the DSB multiplicity within individual sub-volumes would be better parameter to predict cell killing effect, which complies with the GLOBLE model.

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