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The aim of the study is to assess the value of whole body diffusion weighted MR imaging (WB-DWI) as a non-invasive method. On one hand for pretreatment lesion detection and post-therapeutic tumor recurrence but also for early therapy monitoring with the intention to early identify patients with a poor tumor response. Our research group demonstrated that this technique is accurate in patients with head and neck cancer it could differentiate between viable tumor tissue and inflammatory or necrotic tissue at variable time points after completion of radiotherapy. In the literature it is stated that DWI can also predict the response to chemotherapeutic therapy. This is only true for focal MRI images (eg only in liver). This study aims to determine whether the whole body technique can efficiently be used because the distribution of metastases is systemic. The study includes two phases: In a first phase, a baseline study will be conducted; all possible injury types will be gathered to determine the variability in signal characteristics to finally determine appropriate thresholds to differentiate between benign and malignant lesions. This should allow us later on to perform prospective studies. In a second phase, different applications such as: - pretherapeutic staging - Detection of post-therapy recurrence - Early evaluation of systemic cytotoxic therapy. The results of the DW-MRI will be compared with those of PET, CT and conventional MRI which are now routinely performed for the diagnosis of colorectal tumors. The scans will be performed in a group of patients on a 3 Tesla MR system. This system is fully approved by the European and American standards and the patients will not be exposed to radiation or contrast agents. In principle, all patients treated for gastrointestinal cancer were included after informed consent from the patient. This study is important to investigate whether DWI is accurate in the pre-therapeutic injury detection and staging of gastrointestinal tumors compared with PET / CT and DWI. In addition it is important to predict the outcome after therapy.