Imaging in interventional oncology, the better you see, the better you treat

Gomez, F.M.; Reijd, D.J. van der; Panfilov, I.A.; Baetens, T.; Wiese, K.; Haverkamp-Begemann, N.; Lam, S.W.; Runge, J.H.; Rice, S.L.; Klompenhouwer, E.G.; Maas, M.; Helmberger, T.; Beets-Tan, R.G.H.

doi:doi:10.1111/1754-9485.13610

Gomez, F.M.; Reijd, D.J. van der; Panfilov, I.A.; Baetens, T.; Wiese, K.; Haverkamp-Begemann, N.; ... ; Beets-Tan, R.G.H. (2023)

Imaging in interventional oncology, the better you see, the better you treat

Article / Letter to editor

Imaging and image processing is the fundamental pillar of interventional oncology in which diagnostic, procedure planning, treatment and follow-up are sustained. Knowing all the possibilities that the different image modalities can offer is capital to select the most appropriate and accurate guidance for interventional procedures. Despite there is a wide variability in physicians preferences and availability of the different image modalities to guide interventional procedures, it is important to recognize the advantages and limitations for each of them. In this review, we aim to provide an overview of the most frequently used image guidance modalities for interventional procedures and its typical and future applications including angiography, computed tomography (CT) and spectral CT, magnetic resonance imaging, Ultrasound and the use of hybrid systems. Finally, we resume the possible role of artificial intelligence related to image in patient selection, treatment and follow-up.