It is important for the radiologist to understand the anatomy of the drainage pathways and the frequent anatomical variants in this region in order to guide the surgeon. These variants may impair the functional drainage pathways, increase the risk of endoscopic surgery and make access to sites of disease extremely diffcult. This lecture will highlight the clinical relevant sinonasal anatomy (osteometal unit (OMU), frontal and sphenoethmoidal recesses) and variants (frontal ethmoidal, infraorbital and sphenoethmoidal air cells, ethmoid roof and anterior skull base). By the end of the lecture I hope that you will have learnt a logical approach to assessing the sinonasal anatomy and variants and an ability to review and understand the sinonasal region in all three orthogonal planes in order to accurately assess this region. For locally advanced rectal cancer (LARC) an early accurate prediction of tumour response, more specifically pathological complete response (pCR), after preoperative chemoradiotherapy (CRT) is valuable to tailor treatment. Accurate prediction could enable more individualised surgical approaches, including less extensive resection or even a wait-and-see policy on one hand and possibly an intensification of pre-operative treatment in selected patients on the other hand. In our research groups several response prediction models for LARC have been developed mainly based on longitudinal PET-imaging, and specifically SUVmax on MR imaging, and on multifactorial nomograms including clinical parameters; see also (www. predictcancer.org). An innovative method consists in adding CT-based features for pre-treatment response prediction in LARC, the so-called "radiomics" approach. We conclude that imaging-based models and the nomogram developed based on clinical and sequential imaging data can accurately predict pCR and can be used as a decision support tool for surgery after prospective validation. MRI, a problem-solving imaging modality a few years ago, has become a first-line imaging technique in the diagnosis of focal liver lesions. Technological improvements lead to high-quality images and fast sequences improving its diagnostic accuracy. The contribution of the new cellular-specific contrast agents has been crucial in selected situations. Diffusion-weighted images are nowadays routinely included in the liver study protocol and its role in the detection and characterisation of the focal liver lesions will be discussed. 3D dynamic fat saturation protocols allow to obtain multiphasic high-quality studies and contrast bolus timing can be carefully assessed with the development of techniques such as fluorotriggered contrastenhanced MRI. The newer imaging protocols and the typical imaging features of the focal liver lesions using different MRI contrast agents will be discussed.