Imperial College London


Faculty of MedicineDepartment of Surgery & Cancer

Clinical Chair in Radiology







ICTEM buildingHammersmith Campus





Andrea Rockall is Clinical Chair of Radiology, Imperial College London and Hon Consultant Radiologist at Imperial College Healthcare NHS Trust and at The Royal Marsden Hospital.  Following graduation from King’s College Hospital, London in 1990 she trained in radiology at St Mary’s Hospital and University College Hospital, London.  She was awarded the Rohan Williams Medal (Gold Medal) for the FRCR examination. In 2000, she was appointed as Senior Lecturer in Diagnostic Imaging at Queen Mary University London and Honorary Consultant Radiologist at Barts and The London NHS Trust and has worked at both Imperial and Royal Marsden Hospital since 2012, prior to her current appointment.

Her special interests are in genitourinary cancer, image-based clinical trials, functional imaging in response assessment and machine-learning applications in radiology.  She is currently the Chief Investigator of the CRUK MAPPING trial in cervix and endometrial cancer and three NIHR trials MALIBO, MALIMAR (machine learning studies) and MROC (multicenter UK trial evaluating multi-parametric MRI in suspected or confirmed ovarian cancer).




Rockall AG, Li X, Johnson N, et al., 2023, Development and evaluation of machine learning in whole-body magnetic resonance imaging for detecting metastases in patients with lung or colon cancer: a diagnostic test accuracy study, Investigative Radiology, Vol:58, ISSN:0020-9996, Pages:823-831

Mariampillai J, Rockall A, Manuellian C, et al., 2023, The green and sustainable radiology department., Radiologie (heidelb)

Aboagye E, Lu H, Lou H, et al., 2023, Tumour and local lymphoid tissue interaction determines prognosis in high grade serous ovarian cancer, Cell Reports Medicine, Vol:4, ISSN:2666-3791, Pages:1-24

Sadowski EA, Thomassin-Naggara I, Rockall A, et al., 2023, O-RADS MRI Risk Stratification System: Guide for Assessing Adnexal Lesions from the ACR O-RADS Committee (vol 303, pg 35, 2022), Radiology, Vol:308, ISSN:0033-8419


Santhirasekaram A, Winkler M, Rockall A, et al., 2024, Hierarchical Compositionality in Hyperbolic Space for Robust Medical Image Segmentation, Pages:52-62, ISSN:0302-9743

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