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PART I: DATA AND MODELS. The importance of the quality of data Building a predictive model of toxicity: methods. Potentials and limits of phenomenological models. PART II: PREDICTING THE RISK OF TOXICITY IN PRACTICE. Pelvis: rectal and bowel toxicity. Pelvis: urinary toxicity and sexual dysfunctions. Abdomen. Optical structures and ears. Head and neck: parotids. Head and neck: structures involved in swallowing and nutritional problems. Head and neck: larynx and structures involved in dysphonia. Thorax: lungs and esophagous. Heart and vascular problems. Skin and fibrosis. Bones and hematological toxicity. Nervous system. Predicting toxicity in RT: a critical summary. PART III VISION/CHALLENGES. Data-sharing and toxicity modeling: a vision of the near future. Quantitative imaging for assessing and predicting toxicity. Including the 4th dimension into predictive models of toxicity. Beyond DVH: 2D/3D based dose comparison to assess predictors of toxicity. Predictive models and automatic planning: where are we going ? Including genetic variables in NTCP models. Where are we? Where are we going?

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