Radiation Pneumonitis After Hypofractionated Radiotherapy: Evaluation of the LQ(L) Model and Different Dose Parameters
| Autor: | A. de Josien Bois, Hiroki Shirato, Gerben R. Borst, Jan-Jakob Sonke, Gerard Bengua, Masayori Ishikawa, Michael Hauptmann, Rikiya Onimaru, Joos V. Lebesque, Jasper Nijkamp |
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| Rok vydání: | 2010 |
| Předmět: |
Cancer Research
Lung Neoplasms medicine.medical_treatment Context (language use) Confidence Intervals medicine Humans Radiology Nuclear Medicine and imaging Lung volumes Radiation Pneumonitis Pneumonitis Likelihood Functions Radiation business.industry Incidence Dose fractionation Dose-Response Relationship Radiation medicine.disease Confidence interval Radiation therapy Dose–response relationship Oncology Linear Models Dose Fractionation Radiation Nuclear medicine business |
| Zdroj: | Aarhus University Borst, G R, Ishikawa, M, Nijkamp, J, Hauptmann, M, Shirato, H, Bengua, G, Onimaru, R, de Josien Bois, A, Lebesque, J V & Sonke, J J 2010, ' Radiation pneumonitis after hypofractionated radiotherapy: evaluation of the LQ(L) model and different dose parameters ', International Journal of Radiation Oncology, Biology, Physics, vol. 77, no. 5, pp. 1596-1603 . |
| ISSN: | 0360-3016 |
| DOI: | 10.1016/j.ijrobp.2009.10.015 |
| Popis: | Purpose To evaluate the linear quadratic (LQ) model for hypofractionated radiotherapy within the context of predicting radiation pneumonitis (RP) and to investigate the effect if a linear (L) model in the high region (LQL model) is used. Methods and Materials The radiation doses used for 128 patients treated with hypofractionated radiotherapy were converted to the equivalent doses given in fractions of 2 Gy for a range of α/β ratios (1 Gy to infinity) according to the LQ(L) model. For the LQL model, different cut-off values between the LQ model and the linear component were used. The Lyman model parameters were fitted to the events of RP grade 2 or higher to derive the normal tissue complication probability (NTCP). The lung dose was calculated as the mean lung dose and the percentage of lung volume (V) receiving doses higher than a threshold dose of xGy (V x ). Results The best NTCP fit was found if the mean lung dose, or V x , was calculated with an α/β ratio of 3 Gy. The NTCP fit of other α/β ratios and the LQL model were worse but within the 95% confidence interval of the NTCP fit of the LQ model with an α/β ratio of 3 Gy. The V 50 NTCP fit was better than the NTCP fit of lower threshold doses. Conclusions For high fraction doses, the LQ model with an α/β ratio of 3 Gy was the best method for converting the physical lung dose to predict RP. |
| Databáze: | OpenAIRE |
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