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

Author:

Gómez Fernando M123,Van der Reijd Denise J3,Panfilov Ilia A3,Baetens Tarik3,Wiese Kevin3,Haverkamp‐Begemann Naomi3,Lam Siu W3,Runge Jurgen H3,Rice Samuel L4,Klompenhouwer Elisabeth G3,Maas Monique3,Helmberger Thomas5,Beets‐Tan Regina GH36ORCID

Affiliation:

1. Grupo de Investigación Biomédica en Imagen Instituto de Investigación Sanitaria La Fe Valencia Spain

2. Área Clínica de Imagen Médica Hospital Universitario y Politécnico La Fe Valencia Spain

3. Department of Radiology The Netherlands Cancer Institute Amsterdam The Netherlands

4. Radiology, Interventional Radiology Section UT Southwestern Medical Center Dallas TX USA

5. Institut für Radiologie, Neuroradiologie und Minimal‐Invasive Therapie, München Klinik Bogenhausen Munich Germany

6. GROW School for Oncology and Developmental Biology University of Maastricht Maastricht The Netherlands

Abstract

SummaryImaging 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.

Publisher

Wiley

Subject

Radiology, Nuclear Medicine and imaging,Oncology

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