Speakers
Fiona Gilbert
Professor
Gilbert Department of Radiology, University of Cambridge, is focused on imaging techniques relating to
breast cancer and oncology. She works in Addenbrookes Hospital and is part of
the Cambridge Breast Unit which delivers screening to Cambridge &
Huntingdon. She evaluates new imaging technology
and is currently working on Artificial Intelligence in Imaging to detect
cancer, biomarkers to predict cancer and response to neoadjuvant therapy, novel
imaging techniques such as sodium imaging with MRI and assessing different
imaging tools to detect cancer in women with dense breasts.
She is a regular
speaker at international Radiology conferences in Chicago and Vienna and was
awarded Honorary membership of Radiological Society of North America in 2019,
Honorary fellowship of the American College of Radiologists, the Gold Medal
from the European Society of Radiology and fellowship of the Royal Society of
Edinburgh in 2021 and fellowship of the Academy of Medical Sciences. She is
immediate past President of the European Society of Breast Imaging. She is the
Lead advisor for AI for the Royal College of Radiologists.
She has sat on a
number of committees and funding Boards and is on a number of advisory panels.
She is a director of NASCIT. Previous appointments have been a Board member of
the Royal Scottish National Orchestra, Governor of Robert Gordons College and
vice chairman of the Beatson cancer charity.
Update on the BRAID trial
Underdiagnosis of breast cancer is a problem in the UK screening programme with a third of cancers in attendees presenting as interval cancers. This is partly due to the three yearly screening interval but also due to the poor sensitivity of mammography in the BIRADS d category with relatively poor sensitivity in the c category of density. The BRAID study is a randomized controlled trial comparing supplemental imaging of abbreviated MRI, whole breast ultrasound and contrast enhanced mammography in women with negative screening mammograms with BIRADS c or d breast density. Over 9,000 women were recruited into this study from 10 UK centres with over 2,000 women in each arm. The study has completed recruitment with the first round of imaging completed at the end of June and second round imaging due to comple at the end of September. Additional cancers were found in all three arms. Data is being analyzed to compare cancer detection rate and recall rates for each modality. The distribution of risk across the recruited women showed that 44% of the cancers were found in this highest risk quartile. The acceptability of each technique was compared in Cambridge and it was found that the majority of women found supplemental imaging was comparable or better than screening mammography with whole breast ultrasound scoring slightly better than CEM or abbreviated MRI.
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