March 2017

In recognition of her contribution to cancer imaging and passionate work in education and research, Professor Fiona J. Gilbert from Cambridge, UK, has been invited to deliver the Arthur de Schepper Honorary Lecture at ECR 2017.

Fiona J. Gilbert is professor of radiology and head of the department of radiology at Cambridge University. She is also an honorary consultant radiologist at Addenbrooke’s Hospital in Cambridge and previously served as head of the Aberdeen Biomedical Imaging centre at the University of Aberdeen.

Prof. Gilbert is primarily interested in imaging breast cancer, and more specifically multimodal functional imaging of the tumour microenvironment in breast cancer to map the tumour genetic profile. She is also very interested in assessing new imaging technologies, especially related to breast cancer and in oncology generally.

Over the last ten years, Prof. Gilbert has been awarded grants in excess of £33m from the Medical Research Council, the Engineering & Physics Research Council, the British National Institute for Health Research (NIHR) Health Technology Assessment Board, and Cancer Research UK.

She is responsible for radiology research and radiological undergraduate teaching at Cambridge University.

Prof. Gilbert has authored more than 180 peer-reviewed publications, six book chapters and many conference abstracts.

She has worked to advance the discipline at the national level and is the immediate past chair of the academic committee of the Royal College of Radiologists. She has also served in leadership roles for various organisations, including the UK National Cancer Research Institute Imaging Advisory Group.

Prof. Gilbert is a regular speaker at international radiology conferences including the European Congress of Radiology, the annual meeting of the European Society of Breast Imaging and the Radiological Society of North America meeting.

At ECR 2017, Fiona J. Gilbert will present the Arthur de Schepper Honorary Lecture, titled ‘From features to function: breakthroughs in breast imaging’.