Dudley Pennell is Professor of Cardiology at the National Heart and Lung Institute. Professor Pennell is Director of the Cardiovascular Magnetic Resonance (CMR) Unit, Honorary Consultant at Royal Brompton Hospital, Director of the British Heart Foundation Centre for Advanced Magnetic Resonance In Cardiology (CAMRIC), and Director of Non-Invasive Cardiology at Royal Brompton Hospital.
Professor Pennell is an NIHR Senior Investigator Emeritus. He is a Fellow of the Academy of Medical Sciences (FMedSci).
Professor Pennell was an undergraduate at St. John's College, Cambridge and trained in cardiology at St Thomas' Hospital, London and the London Chest Hospital. He has specialised in Cardiovascular MR since 1988 and is a GMC registered UK specialist in Cardiology, Nuclear Medicine and Radiology.
His research interests lie in CMR, specifically in the assessment and differentiation of cardiomyopathies, the measurement of myocardial iron and the assessment of chelation treatment, the detection and assessment of early atherosclerosis, and myocardial perfusion imaging.
He regularly lectures at key international cardiology events and has published >350 papers on his specialist subjects. These include CMR of cardiomyopathy and the early diagnosis of myocardial iron overload (Eur Heart J 2001; 22: 2171-9) to wide acclaim.
Professor Pennell's involvement in teaching includes postgraduate training in CMR; Junior doctors training meetings and international training meetings. He has supervised over 25 research students, who have won many awards over the years including most recently the NHLI Best Thesis Prize in 2008 & 2012.
et al., 2020, Diffusion tensor cardiovascular magnetic resonance in cardiac amyloidosis, Circulation: Cardiovascular Imaging, Vol:13, ISSN:1941-9651
et al., 2020, De-Iron: a phase 2 trial of the activity and safety of Deferasirox administered at early iron loading in patients with transfusion-dependent myelodysplastic syndromes, British Journal of Haematology, ISSN:0007-1048
et al., 2020, A model based on clinical parameters to identify myocardial late gadolinium enhancement by magnetic resonance in patients with aortic stenosis: An observational study, Jrsm Cardiovascular Disease, Vol:9, ISSN:2048-0040, Pages:2048004020922400-2048004020922400
et al., 2020, Automating in vivo cardiac diffusion tensor postprocessing with deep learning-based segmentation, Magnetic Resonance in Medicine, ISSN:0740-3194
et al., 2020, Standardized image interpretation and post-processing in cardiovascular magnetic resonance-2020 update Society for Cardiovascular Magnetic Resonance (SCMR): Board of Trustees Task Force on Standardized Post-Processing, Journal of Cardiovascular Magnetic Resonance, Vol:22, ISSN:1097-6647