A hierarchical Bayesian approach to calibrating the linear-quadratic model from clonogenic survival assay data.

A hierarchical Bayesian approach to calibrating the linear-quadratic model from clonogenic survival assay data. Radiother Oncol. 2017 Sep 01;: Authors: Collis J, Hill MR, Nicol JR, Paine PJ, Coulter JA Abstract We propose a Bayesian hierarchical model applicable to the calibration of the linear-quadratic model of radiation dose-response. Experimental data used in model calibration were taken from a clonogenic survival assay conducted on human breast cancer cells (MDA-MB-231) across a range of radiation doses (0-6Gy). Employing Markov-chain Monte Carlo methods, we calibrated the proposed Bayesian hierarchical model, computed posterior distributions for the model parameters and survival fraction dose-response probability densities. Key contributions include the proposal of a model that incorporates multiple sources of inter- and intra-experiment variability commonly neglected in the standard frequentist approach and its subsequent application to in vitro experimental data. PMID: 28870637 [PubMed - as supplied by publisher]
Source: Radiotherapy and Oncology : journal of the European Society for Therapeutic Radiology and Oncology - Category: Radiology Authors: Tags: Radiother Oncol Source Type: research