A Unified Dose Response Relationship to Predict High Dose Fractionation Response in the Lung Cancer Stereotactic Body Radiation Therapy.

Autor: Kehwar TS; Department of Radiation Oncology, Eastern Virginia Medical School, Sentara Obici Hospital, Suffolk, VA 23434, USA., Chopra KL; Department of Biomedical Engineering, Shobhit University, Saharanpur, Uttar Pradesh, India., Rai DV; Department of Biomedical Engineering, Shobhit University, Saharanpur, Uttar Pradesh, India.
Jazyk: angličtina
Zdroj: Journal of medical physics [J Med Phys] 2017 Oct-Dec; Vol. 42 (4), pp. 222-233.
DOI: 10.4103/jmp.JMP_36_17
Abstrakt: 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(D t-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 D t-mt , where the LQ model loses its validity, and the LQ-L(D t-2α/β ) and USC(Dt-mt) models do not transition smoothly to the linear portion of the survival curve.
Conclusion: The LQ-L(D t-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.
Competing Interests: There are no conflicts of interest.
Databáze: MEDLINE
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