Professor of Radiology
Professor of Radiology – University of Cambridge School of Clinical Medicine.
Honorary Consultant Radiologist – Addenbrooke’s Hospital, Cambridge. University Hospitals NHS Foundation Trust.
Specialty: Breast and Oncology Imaging and Magnetic Resonance Imaging.
Email: F J Gilbert Tel.: + 44 (0)1223 46438
Professor Gilbert was appointed to the Chair of Radiology, head of department in Cambridge in 2011 – 2023 having previously been the chair of the Aberdeen Biomedical Imaging Centre at the University of Aberdeen.
She has held various positions – Chair of the Academic committee of the Royal College of Radiologists, Chair of the NCRI Imaging Advisory group, Chair of the Royal College of Radiologists Breast Group, and co-chair of the NCRI PET Research Development group. She is past President of the European Society of Breast Imaging and past chair of the breast subcommittee of Radiological Society of North America. She now sits on the Research & development committee of RSNA.
She was an NIHR Senior Investigator and was awarded honorary fellowships of Radiological Society of North America, the American College of Radiology, the Gold medal from European Society of Radiology and a fellow of the Royal Society of Edinburgh and the Academy of Medical Sciences.
Her research interests are in imaging technology evaluation – covering early cancer detection, diagnostic accuracy in CT and MRI, and newer breast imaging techniques such as breast Tomosynthesis, Contrast mammography, abbreviated MRI, whole breast ultrasound and non FDG radiotracers in cancer. She uses imaging to gain a better understanding of disease physiology and the tumour microenvironment. She advocates risk adapted breast screening for women and is currently testing risk stratified approaches through the MyPEBS trial and leading the BRAID trial of supplemental imaging. She is using Artificial intelligence to improve early cancer detection with different imaging modalities.
Last 5 Publications
Top 5 Publications
- McKinney SM, Sieniek M, Godbole V, Godwin J, Antropova N, Ashrafian H, et al. International evaluation of an AI system for breast cancer screening. Nature. 2020 Jan;577(7788):89–94. [1574 Citations]
- Leach MO, Boggis CRM, Dixon AK, Easton DF, Eeles RA, Evans DGR, et al. Screening with magnetic resonance imaging and mammography of a UK population at high familial risk of breast cancer: a prospective multicentre cohort study (MARIBS). Lancet. 2005 May 21;365(9473):1769–78. [1281 Citations]
- Sardanelli F, Boetes C, Borisch B, Decker T, Federico M, Gilbert FJ, et al. Magnetic resonance imaging of the breast: recommendations from the EUSOMA working group. Eur J Cancer. 2010 May;46(8):1296–316. [1023 Citations]
- Smith IC, Heys SD, Hutcheon AW, Miller ID, Payne S, Gilbert FJ, et al. Neoadjuvant chemotherapy in breast cancer: significantly enhanced response with docetaxel. J Clin Oncol. 2002 Mar 15;20(6):1456–66. [1016 Citations]
- O’Connor JPB, Aboagye EO, Adams JE, Aerts HJWL, Barrington SF, Beer AJ, et al. Imaging biomarker roadmap for cancer studies. Nat Rev Clin Oncol. 2017 Mar;14(3):169–86. [878 Citations]
Magnetic Resonance Imaging.Gilbert, FJ. & Redpath, TW. (2006).Anaesthesia Science, pp. 379-395
Mammography reading with computer-aided detection(CAD);performance of different readers. Astley, SM., Duffy, SW., Boggis, C., Wilson, M., Barr, N., Beetles, U., Griffiths, MA., Johnson, J., Roberts, RM., Duncan, KA., Iyengar, G., Agbaje, O., Griffiths, P., McGee, MM., Gillan, MGC. & Gilbert, FJ. (2006).Digital mammography Proceedings 8th International Workshop:Lecture Notes in Computer Science 4046, Digital mammography Proceedings 8th International Workshop:Lecture Notes in Computer Science 4046, pp. 97-104.
Mammography reading with computer-aided detection (CAD);single view vs two views.Agbaje, O., Astley, SM., Gillan, MGC., Boggis, C., Wilson, M., Barr, N., Beetles, U., Griffiths, MA., Jain, A., Johnson, J., Roberts, RM., Duncan, KA., Iyengar, G., Griffiths, P., McGee, MM., Duffy, SW. & Gilbert, FJ. (2006)..Digital Mammography 8th International WorkshopProceedings Series: lecture Notes in Computer Science, Digital Mammography 8th International WorkshopProceedings Series: lecture Notes in Computer Science, pp. 125-130.
Reduction of movement artefacts in comparative 3D magnetic resonance (MR) breast imaging..Undrill, PE., Redpath, TW. & Gilbert, FJ. (1996).MH Loew & KM Hanson (eds), Medical Imaging 1996. Image Processing., vol. 2710, Proceedings of the Society of Photo-Optical Instrumentation Engineers (SPIE), pp. 922-930..
The clinical effectiveness and cost-effectiveness of different surveillance mammography regimes after the treatment of primary breast cancer’. NIHR Health Technology Assessment programme, Southampton, United Kingdom..
Robertson, C., Boachie, C., Burr, JM., Fraser, CM., MacLennan, GS., Mowatt, G., Ternent, L., Thomas, RE., Vale, LD., Gilbert, FJ., Dixon, M., Heys, SD., Wilson, R., Pinder, S., Bain, V., Donnelly, P., Jack, W., Kerr, G., Lawrence, G., Maxwell, A., McGregor, J. & Murchie, P. (2011).
NIHR Health Technology Assessment programme, Southampton, United Kingdom.