Quantitative methods in radiation oncology: models, trails and clinical outcomes

08-11 October, 2017
Maastricht, The Netherlands


The course is aimed at physicians, medical physicists, biologists and radiation therapists (RTTs)



Course director
Søren M. Bentzen, Biologist, University of Maryland School of Medicine, Maryland (USA)

Francesca Buffa, Physicist, University of Oxford, Oxford (UK)
Philippe Lambin, Radiation Oncologist, MAASTRO Clinic, Maastricht (NL)
Hans Langendijk, Radiation Oncologist, University Medical Centre Groningen, Groningen (NL)
Peter van Luijk, Physicist, University Medical Centre Groningen, Groningen (NL)
Ivan R. Vogelius, Physicist, The Finsen Centre-Rigshospitalet, Copenhagen (DK)


Guest Lecturer
André Dekker, Physicist, MAASTRO Clinic, Maastricht (NL)  

Local organiser
Philippe Lambin, Radiation Oncologist, MAASTRO Clinic, Maastricht (NL)


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 medical specialties. As in other specialties, results of randomised controlled trials form evidence-based treatment guidelines; but in addition, prognostic and predictive models provide clinical decision support for individualised 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 ofquantitative estimates of various treatment outcomes is likely to improve patient care, it is also important to understand the limitations of model estimates and to be able to assess the validity or quality of a statistical data analysis or a mathematical model. Uncritical reliance on model results may compromise patient safety or treatment outcome.