Miss Celia Theodoreli - Riga is a Consultant Vascular Surgeon and Clinical Senior Lecturer in Surgery at Imperial, based at St Mary's and Charing Cross Hospitals. She is the Vascular Training Programme Director (HEE) and the STC Chair for the London region. She is also an Honorary Consultant Surgeon at The Royal Marsden Foundation Trust. She qualified from Imperial College London in 2003. She became an NIHR Academic Clinical Fellow in 2009 and appointed NIHR Clinical Lecturer in Surgery in 2010. She completed her higher surgical training in London. She obtained a Doctorate in Medicine from Imperial College, and became a Fellow of the Royal College of Surgeons in 2014.
Her clinical expertise includes aortic aneurysms, occlusive vascular disease, endovenous management of varicose veins, carotid disease and stroke prevention, aortic dissection and endovascular robotic surgery. She has introduced team training and simulation programmes to the current vascular curriculum in collaboration with the Patient Safety Research Group. She has an international reputation as a speaker, and serves as an examiner for Imperial College and Oxford University.
Her research interests focus on endovascular techniques for the treatment of arterial and venous disease, incorporating new advances in technology. She works closely with the engineering group at the Hamlyn Centre supported by the Wolfson Foundation, NIHR and the EPSRC. Miss Riga has led the translational endovascular robotic research theme at Imperial College, publishing the first pre-clinical evidence for the advantages of robotic technology in complex endovascular tasks such as supra-aortic branch intervention and fenestrated endografting. Her research has won 30 national and international prizes, attracting over £10million in funding including a UK flagship EPSRC investment to make Imperial the UK's largest translational Micro-Robotics facility.
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et al., 2019, Real-Time 3-D Shape Instantiation for Partially Deployed Stent Segments From a Single 2-D Fluoroscopic Image in Fenestrated Endovascular Aortic Repair, Ieee Robotics and Automation Letters, Vol:4, ISSN:2377-3766, Pages:3703-3710
et al., An examination of avoidable 30-day readmissions in patients undergoing vascular surgery, Bjs Open, ISSN:2474-9842
et al., 2019, An Evaluation of the Impact of High-Fidelity Endovascular Simulation on Surgeon Stress and Technical Performance, Journal of Surgical Education, Vol:76, ISSN:1931-7204, Pages:864-871
et al., 2019, The use of video motion analysis to determine the impact of anatomic complexity on endovascular performance in carotid artery stenting, Journal of Vascular Surgery, Vol:69, ISSN:0741-5214, Pages:1482-1489
et al., 2019, Towards 3D path planning from a single 2d fluoroscopic image for robot assisted fenestrated endovascular aortic repair, Pages:8747-8753, ISSN:1050-4729