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Peer-Reviewed Publication
Trials2025;26(1):143.April 30, 2025Journal Article

Statistical analysis plan for the ARtificially Intelligent image fusion system versus standard treatment to guide endovascular Aortic aneurysm repair (ARIA): a multi-centre randomised controlled trial.

Hatem A Wafa1,2, James Budge3,4, Tom Carrell5, Medeah Yaqub6, Matt Waltham5, Izabela Pilecka6, Joanna Kelly6, Caroline Murphy6, Stephen Palmer7, Rachel E Clough3, Yanzhong Wang8
1School of Biomedical Engineering and Imaging Science, King's College London, London, UK. hatem.a.wafa@kcl.ac.uk.
2School of Life Course & Population Health Sciences, Faculty of Life Sciences & Medicine, King's College London, 5th floor, Addison House, Guy's Campus, London, SE1 1UL, UK. hatem.a.wafa@kcl.ac.uk.
3School of Biomedical Engineering and Imaging Science, King's College London, London, UK.
4St George's Vascular Institute, St George's University, London, UK.
5Cydar Medical Limited, Cambridge, UK.
6King's Clinical Trial Unit, King's College London, London, UK.
7Centre for Health Economics, University of York, York, UK.
8School of Life Course and Population Sciences, King's College London, London, UK.

Abstract

BACKGROUND: Aortic aneurysms, a significant cause of mortality, particularly in individuals aged 55 years and older, have witnessed a transformative shift in treatment strategies with the advent of endovascular surgery. Cydar-EV is an innovative image fusion technology that can augment preoperative planning and surgical guidance of endovascular aneurysm repair (EVAR). The ARIA trial aims to evalua…

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