Professor of Radiology, Head of Department
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
Profile
Professor Gilbert was appointed consultant radiologist in Aberdeen responsible for the National Breast Screening Programme for Grampian. Undertaking research in breast imaging and ovarian screening during that time she learnt research methodology and was appointed to the Chair in Radiology in 1996 where she set up the academic department. Successful grants from SHEFC led to the purchase of a 1.5T MRI machine for research and a new building and office accommodation was put in place. She has built a team of research scientists working on MR related problems and a 3.0T MRI system was installed in August 2007 dedicated for clinical research. She was Chair of the Aberdeen Biomedical Imaging Centre.
She was appointed to the Chair of Radiology in Cambridge in 2011. She has held various positions in the past – 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, previous co-chair of the NCRI PET Research Development group. She sat on guideline development groups for breast imaging for SIGN and NICE and the family history of breast cancer guideline development group. She was the Radiology Representative – Scottish Cancer Group (2001-2005) and member of the Cancer Research Portfolio Steering Group, Chief Scientist’s Office (2003–2007). She was a member of the NIHR EME Board and a member of the Commissioning Board for the Health Technology Assessment Panel (2003-2006). She is President of the European Society of Breast Imaging and chair of the breast subcommittee of Radiological Society of North America.
She was an NIHR Senior Investigator and has been awarded honorary fellowships of Radiological Society of North America, the American College of Radiology, the Gold medal from European Society of Radiology and been made a fellow of the Royal Society of Edinburgh.
Her current research interests are in evaluating breast Tomosynthesis, non FDG radiotracers in cancer, and breast MRI. She is interested in using imaging to gain a better understanding of tumour physiology. She is testing risk adapted breast screening in women with dense breasts with different imaging modalities and varying frequency of mammography. She is working in Artificial intelligence to improve early cancer detection.
Last 5 Publications
Third molar development in a London population of White British and Black British or other Black ethnicity. Andrews SE, Roberts GJ, Warburton F, Set P, Gilbert FJ. Journal Forensic Sciences 2021 doi: 10.1111/1556-4029.14928
Axillary lymphadenopathy at the time of COVID-19 vaccination: 10 recommendations from the European Society of Breast Imaging (EUSOBI). Schiaffino S; Pinker K; Magni V; ………. Zackrisson S; Gilbert FJ; Sardanelli F. Insights Imaging 2021;12:119 doi: 10.1186/s13244-021-01062.
Validation of a new fully automated software for 2D digital mammographic breast density evaluation in prediction of breast cancer: a multicentre study. Rossi PG; Djuric O; Hélin V; Astley S; Mantellini P; Nitrosi A; Harkness EF; Gauthier E; Puliti D; Balleyguier C; Baron C; Gilbert FJ; Grivegnée A; Pattacini P; Michiels S; Delaloge S. Scientific Reports 2021.
Magnetic resonance imaging before breast cancer surgery: results of a large-scale observational multicentre international prospective analysis (the MIPA study). Sardanelli F, Trimboli R, Houssami N, Gilbert FJ, ….Veltman J, Weigel S, Wenkel E, Zuiani C, Di Leo G. European Radiology 2021.
Triage of 2D Mammographic Images Using Multi-view Multi-task Convolutional Neural Networks. Kyono T, Gilbert FJ, van der Schaar M. ACM Transactions on Computing for Healthcare 2021. doi: 10.1145/3453166
Best 5 Publications
TOMMY trial: The accuracy of digital breast tomosynthesis in detecting breast cancer subgroups in a UK retrospective reading study (TOMMY Trial). Gilbert FJ, Tucker L, Gillan GC, Willsher P, Cooke J, Duncan KA, Michell MJ, Dobson HM, Lim YY, Purushothaman H, Strudley C, Astley SM, Morrish O, Young KC, Duffy SW.
Radiology. 2015 Jul 15:142566. [Epub ahead of print]PMID:26176654
International evaluation of an AI system for breast cancer screening. McKinney SM, Sieniek MT, Godble V, Godwin J, Antropova N, Ashrafian H, Black T, Chesus M, Corrado G, Darzi A, Elemadi M, Garcia-Vincente F, Gilbert FJ, Halling-Brown M, Hassabis D, Jansen S, Karthikesalingam A, Kelly CJ, King D, Ledsam J, Melnick D, Mostofi H, Romero-Paredes B, Peng L, Reicher JJ, Sidebottom R, Suleyman M, Tse D, Young KC, De Fauw J, Shetty S. Nature 2020 577:89-94 doi: 10.1038/s41586-019-1799-6
Imaging breast cancer using hyperpolarized 13C-MRI. Gallagher FA, Woitek R, McLean MA, …… Graves M, Abraham JE, Gilbert FJ, Caldas C, Brindle KM. PNAS 2020 117, 2092-2098. doi: 10.1073/pnas.1913841117
Single reading with computer-aided detection for screening mammography. Gilbert, F.J., S.M. Astley, M.G. Gillan, O.F. Agbaje, M.G. Wallis, J. James, C.R. Boggis, S.W. Duffy, and C.I. Group. New England Journal of Medicine, 2008. 359(16): p. 1684.
Federated Learning used for predicting outcomes in SARS-COV-2 patients. Dayan I, Roth H, et al, Quanzheng L, Gilbert FJ*, Flores MG* Nature Medicine 2021 (*joint senior authors).
Published Books
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..
Commissioned Reports
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..
