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Glioblastomas (a highly malignant brain tumor) are notorious for their tumor infiltration, where tumor extends into adjacent normal-appearing brain tissue. As tumor infiltration is not visible on conventional MRI-scans, a safety margin of 1.5-cm is always added to the visible tumor when the target area for radiotherapy is defined. In this research, the aim is to eliminate this one-size-fits-all approach and assess the potential of artificial intelligence and state-of-the-art MRI techniques to more accurately define the target area for each individual patient. By only targeting what needs to be targeted, the development of side-effects caused by radiotherapy could be reduced.
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