Multimodal imaging biomarkers

Problem

The constant evolution of diagnostic imaging is linked to innovation, the development of new technologies and the emergence of artificial intelligence.  These domains make it more complex to update the knowledge needed to maintain good clinical practice, and implement and validate imaging biomarkers, radiomics or hybrid imaging, which, when properly implemented, represent precise tools for supporting decision-making. Moreover, image-guided interventionism and radioligand therapies have increased exponentially, due to their greater efficiency and safety compared to traditional procedures, but they are also methodologically more complex.  

Approach

Learning about and applying new medical imaging technologies. Incorporating diagnostic-therapeutic processes in the management of patients who are candidates for radioligand therapies.  Identifying, validating and implementing imaging biomarkers in clinical practice by developing and exploring multimodal image quantification tools.  Exploring in depth the strategy of incorporating artificial intelligence in imaging techniques. Exploring and promoting virtual reality in radioguided surgery and interventional radiology, as well as in teaching and training. 

Impact

The committed multidisciplinary vision of the group has made an impact on various areas, such as the generation of multimodal imaging data and records, theragnosis (therapy + diagnosis) in prostate cancer, virtual models of image fusion, leadership of a national multicentre mechanical thrombectomy registry with multiple published works for the optimization of endovascular therapy, radiomics applied to cancer and imaging biomarkers for improved diagnosis and disease prediction.