This virtual conference is organised by the European Association for Cancer Research (EACR) and the European Society of Oncologic Imaging (ESOI).

Our ability to understand and treat cancer is critically dependent upon imaging. This meeting will bring together imaging experts in both clinical and basic research arenas to present their latest research and discuss how to integrate understanding across length scales, imaging modalities, and cancer types.

Improved clinical imaging has the power to transform the detection and biologic characterisation of early lesions and the identification of those patients with more advanced disease for tailoring and monitoring personalised therapies. Further, the development of new therapies depends on improved understanding of cancer biology; small animal imaging and imaging tumours with cellular and sub-cellular resolution can elucidate heterogeneity in cancer cell state and interactions with stromal cells, which provide new opportunities for therapeutic intervention.

Target audience

This conference is aimed at clinical and experimental cancer researchers working with, or interested in, the broad range of imaging modalities including US and photoacoustic, CT and micro CT, MRI, PET/CT and PET/MR hybrid imaging, as well as optical techniques. Data analysts dealing with imaging data science using deep learning/machine learning, are also explicitly encouraged to attend.

Topics to be covered

• Visualizing early cancer in the tissue context
• Revealing cancer heterogeneity across scales
• Evaluating the extent and spread of disease
• Predicting and monitoring response to treatment

Scientific Programme Committee:

• Erik Sahai (EACR Co-Chair), UK
• Heinz-Peter Schlemmer (ESOI Co-Chair), Germany
• Daniele Regge, Italy
• Sarah Bohndiek, UK