Related Experiment Video
Updated: Feb 16, 2026

Dynamic Lung Tumor Tracking for Stereotactic Ablative Body Radiation Therapy
Published on: June 7, 2015
A Unified Dose Response Relationship to Predict High Dose Fractionation Response in the Lung Cancer Stereotactic Body
Than S Kehwar1, Kashmiri L Chopra2, Durg V Rai2
1Department of Radiation Oncology, Eastern Virginia Medical School, Sentara Obici Hospital, Suffolk, VA 23434, USA.
Aim:
This study is designed to investigate the superiority and applicability of the model among the linear-quadratic (LQ), linear-quadratic-linear (LQ-L) and universal-survival-curve (USC) models by fitting published radiation cell survival data of lung cancer cell lines.
Materials And Method:
The radiation cell survival data for small cell (SC) and non-small cell (NSC) lung cancer cell lines were obtained from published reports, and were used to determine the LQ and cell survival curve parameters, which ultimately were used in the curve fitting of the LQ, LQ-L and USC models.
Results:
The results of this study demonstrate that the LQ-L(Dt-mt) model, compared with the LQ and USC models, provides best fit with smooth and gradual transition to the linear portion of the curve at transition dose Dt-mt, where the LQ model loses its validity, and the LQ-L(Dt-2α/β) and USC(Dt-mt) models do not transition smoothly to the linear portion of the survival curve.
Conclusion:
The LQ-L(Dt-mt) model is able to fit wide variety of cell survival data over a very wide dose range, and retains the strength of the LQ model in the low-dose range.
Related Concept Videos
Dose-Response Relationship: Overview
Dose-Response Relationship: Potency and Efficacy
Dose-Response Relationship: Selectivity and Specificity
Dose Response Curve: Conventional Versus Nonmonotonic
Pharmacokinetic–Pharmacodynamic Relationship: Duration of Dose-Effect Relationship
Pharmacokinetic–Pharmacodynamic Relationship: Intensity of Dose-Effect Relationship

