Adaptative radiotherapy based on functional imaging and radiobiological models –

Developed by: Instituto de Investigación Sanitaria Galicia Sur


In the last years, there were big steps in the treatment of Head and Neck Cancer (HNC), but local relapse rates are still very high. For this reason, multicentric research is need to overcome them, focused on quantifying tumour response of HNC patients by functional images like Positron Emission Tomography (PET)/Computed Tomography (CT) and Magnetic Resonance Imaging (MRI). Multimodality imaging offers much more information about tumour behaviour than the individual datasets on their own (malignancy, oxygenation or tumour density).

A software has been developed that allows the correction of the distortion caused by diffusion through the usage of reverse gradients and thus the program allows the combination of the images obtained with MRI and PET.

Therefore, this software enables the identification of the metabolically most active areas in the tumour and those with higher level of oxygenation. These two parameters are useful to identify the tumour areas in which radiotherapy is less effective and adjust the radiotherapy plan to concentrate it on such areas.

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