NDLI: Challenges in radiobiological modeling: can we decide between LQ and LQ-L models based on reviewed clinical NSCLC treatment outcome data?

Content Provider	Springer Nature : BioMed Central
Author	Santiago, Alina Barczyk, Steffen Jelen, Urszula Engenhart-Cabillic, Rita Wittig, Andrea
Abstract	Aim To study the dose-response of stage I non-small-cell lung cancer (NSCLC) in terms of long-term local tumor control (LC) after conventional and hypofractionated photon radiotherapy, modeled with the linear-quadratic (LQ) and linear-quadratic-linear (LQ-L) approaches and to estimate the clinical α/β ratio within the LQ frame. Material and methods We identified studies of curative radiotherapy as single treatment through MedLine search reporting 3-year LC as primary outcome of interest. Logistic models coupled with the biologically effective dose (BED) at isocenter and PTV edge according to both the LQ and LQ-L models with α/β = 10 Gy were fitted. Additionally, α/β was estimated from direct LQ fits. Results Thirty one studies were included reporting outcome of 2319 patients. The LQ-L fit yielded a significant value of 11.0 ± 5.2 Gy for the dose threshold (Dt) for BED10 at the isocenter. The LQ and LQ-L fits did not differ substantially. Concerning the estimation of α/β, the value obtained from the direct LQ fit for the complete fractionation range was 3.9 [68 % CI: 2.2–9.0] Gy (p > 0.05). Conclusion Both LQ and LQ-L fits can model local tumor control after conventionally and hypofractionated irradiation and are robust methods for predicting clinical effects. The observed dose-effect for local control in NSCLC is weaker at high doses due to data dispersion. For BED10 values of 100–150 Gy in ≥3 fractions, the differences in isoeffects predicted by both models can be neglected.
Related Links	https://ro-journal.biomedcentral.com/counter/pdf/10.1186/s13014-016-0643-5.pdf
Ending Page	13
Page Count	13
Starting Page	1
File Format	HTM / HTML
DOI	10.1186/s13014-016-0643-5
Journal	Radiation Oncology
Issue Number	1
Volume Number	11
Language	English
Publisher	BioMed Central
Publisher Date	2016-05-06
Access Restriction	Open
Subject Keyword	Cancer Research Oncology Radiotherapy Imaging Radiology Non-small cell lung cancer Dose-response modeling Biologically effective dose Linear-quadratic model Alpha-beta ratio
Content Type	Text
Resource Type	Article
Subject	Radiology, Nuclear Medicine and Imaging Oncology
Journal Impact Factor	3.3/2023
5-Year Journal Impact Factor	3.6/2023

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