Next Article in Journal
Epidermal Growth Factor Receptor (EGFR) Crosstalks in Liver Cancer
Next Article in Special Issue
Toxicity and Long-Term Outcomes of Dose-Escalated Intensity Modulated Radiation Therapy to 74Gy for Localised Prostate Cancer in a Single Australian Centre
Previous Article in Journal
Differentiation Therapy of Acute Myeloid Leukemia
Open AccessArticle

Comparison of Dose Response Models for Predicting Normal Tissue Complications from Cancer Radiotherapy: Application in Rat Spinal Cord

Department of Medical Radiation Physics, Karolinska Institutet and Stockholm University, Stockholm S-17176, Sweden
Author to whom correspondence should be addressed.
Cancers 2011, 3(2), 2421-2443;
Received: 14 March 2011 / Revised: 20 April 2011 / Accepted: 10 May 2011 / Published: 18 May 2011
(This article belongs to the Special Issue Radiation and Cancers)
Seven different radiobiological dose-response models have been compared with regard to their ability to describe experimental data. The first four models, namely the critical volume, the relative seriality, the inverse tumor and the critical element models are mainly based on cell survival biology. The other three models: the Lyman (Gaussian distribution), the parallel architecture and the Weibull distribution models are semi-empirical and rather based on statistical distributions. The maximum likelihood estimation was used to fit the models to experimental data and the χ2-distribution, AIC criterion and F-test were applied to compare the goodness-of-fit of the models. The comparison was performed using experimental data for rat spinal cord injury. Both the shape of the dose-response curve and the ability of handling the volume dependence were separately compared for each model. All the models were found to be acceptable in describing the present experimental dataset (p > 0.05). For the white matter necrosis dataset, the Weibull and Lyman models were clearly superior to the other models, whereas for the vascular damage case, the Relative Seriality model seems to have the best performance although the Critical volume, Inverse tumor, Critical element and Parallel architecture models gave similar results. Although the differences between many of the investigated models are rather small, they still may be of importance in indicating the advantages and limitations of each particular model. It appears that most of the models have favorable properties for describing dose-response data, which indicates that they may be suitable to be used in biologically optimized intensity modulated radiation therapy planning, provided a proper estimation of their radiobiological parameters had been performed for every tissue and clinical endpoint. View Full-Text
Keywords: radiobiological models; NTCP; spinal cord complications radiobiological models; NTCP; spinal cord complications
MDPI and ACS Style

Adamus-Górka, M.; Mavroidis, P.; Lind, B.K.; Brahme, A. Comparison of Dose Response Models for Predicting Normal Tissue Complications from Cancer Radiotherapy: Application in Rat Spinal Cord. Cancers 2011, 3, 2421-2443.

Show more citation formats Show less citations formats

Article Access Map by Country/Region

Only visits after 24 November 2015 are recorded.
Search more from Scilit
Back to TopTop