Quantitative methods in radiation oncology: models, trails and clinical outcomes is organized by European Society for Radiotherapy Oncology (ESTRO) and would be held during Oct 8 - 11, 2017 at Maastro Clinic, Maastricht, Limburg, Netherlands.
Target Audience
The course is aimed at physicians, medical physicists, biologists and radiation therapists.
Course Aim
The aim of this course is to make the attendees better at making model-supported decisions. Radiation oncology probably has the most solid quantitative foundation among the medical specialties. Like in other specialties, results of randomised controlled trials inform evidencebased treatment guidelines; but in addition, prognostic and predictive models provide clinical decision support for individualized management of cases. Radiation bioeffect models of Normal Tissue Complication Probability (NTCP) and Tumour Control Probability (TCP) have become much more refined and are increasingly being validated in independent datasets. While integration of quantitative estimates of various treatment outcomes is likely to improve patient care
Conference Objectives are :
• Broadly describe the most commonly used quantitative methods in radiation oncology and radiation biology and the assumptions behind these
• Identify appropriate quantitative methods of analysis for a given data set
• Critically evaluate modelling results especially with respect to proper validation and estimates of uncertainties.
Additional details will be posted as soon as they are available.