Together with technological and radiobiological advances, tumour modelling is a fast developing area of oncology which plays a key role in predicting treatment outcome in cancer patients. Despite the complexity of tumour biology and its microenvironment, computational and mathematical models of virtual cancer behaviour and response to treatment are successfully developed and employed for clinical research. For accurate tumour models, more in-depth metabolic information is needed which can be offered by various diagnostic methods.

Latest technical and molecular developments in the field of nuclear medicine offer new possibilities in functional imaging, overcoming some of the confines imposed by previous diagnostic techniques. Positron emission tomography (PET) is the most advanced technology designed to provide metabolic information of disease, treatment monitoring, and also evaluation of treatment outcome. Together with other quantitative imaging techniques, such as dynamic contrast-enhanced MRI, PET is a promising diagnostic tool assisting in patient stratification for specific therapies, evaluation of drug efficacy, assessment of chemo- and radiotherapy outcome, and prediction of survival.

The aim of the current special issue of Computational and Mathematical Methods in Medicine is to bring together articles on various aspects of tumour modelling focusing on treatment response and prediction of clinical outcome based on functional imaging techniques. Potential topics include, but are not limited to:

• Modelling of tumour response to treatment using image guidance
• Dose painting and treatment adaptation using functional image guidance
• Modelling hypoxia and angiogenesis using functional imaging techniques
• Evaluation of drug efficacy with a tumour modelling approach
• PET/MR-determined tumour resistance to chemo- and radiotherapy
• Modelling of response to treatment modifiers
• Novel PET radiotracers and treatment prediction
• Individualised treatment planning models
• Evaluation and modelling of targeted therapies and radioisotope uptake based on imaging information

Before submission authors should carefully read over the journal’s Author Guidelines, which are located at http://www.hindawi.com/journals/cmmm/guidelines/. Prospective authors should submit an electronic copy of their complete manuscript through the journal Manuscript Tracking System at http://mts.hindawi.com/submit/journals/cmmm/premu/ according to the following timetable: