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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

Wafa, HA; Budge, J; Carrell, T; Yaqub, M; Waltham, M; Pilecka, I; Kelly, J; Murphy, C; Palmer, S; Clough, RE; et al. Wafa, HA; Budge, J; Carrell, T; Yaqub, M; Waltham, M; Pilecka, I; Kelly, J; Murphy, C; Palmer, S; Clough, RE; Wang, Y (2025) 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. TRIALS, 26 (1). p. 143. ISSN 1745-6215 https://doi.org/10.1186/s13063-025-08770-5
SGUL Authors: Budge, James John Rowland

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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 evaluate the efficacy of using Cydar-EV with EVAR procedures to reduce operating time while enhancing procedural precision, patient outcomes, and cost-effectiveness. This paper describes the statistical analysis plan for the study. Methods/design The ARIA trial, a phase III, multi-centre, open-label, two-armed, parallel groups randomised controlled surgical trial, seeks to recruit 340 patients diagnosed with abdominal or thoraco-abdominal aortic aneurysms. Participants are randomly assigned to receive either standard endovascular repair or an endovascular repair assisted by Cydar-EV for planning and surgical guidance. Primary and secondary outcomes are assessed at baseline, 4–12 weeks, and 52 weeks. The primary outcome measure is procedure duration at baseline, while additional secondary outcomes are recorded at various time points and include indicators for technical effectiveness, patient outcomes, procedure efficiency, and cost-effectiveness. We plan to analyse the patient outcome data according to the treatment they received regardless of initial allocation. The statistical analysis plan outlines methods for handling missing data, covariates for adjusted analyses, and planned sensitivity analyses to ensure robust evaluation of treatment effects. Trial registration The trial was registered with the ISRCTN register on 03/12/2021, number ISRCTN13832085.

Item Type: Article
Additional Information: © The Author(s) 2025. Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modifed the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/.
SGUL Research Institute / Research Centre: Academic Structure > Cardiovascular & Genomics Research Institute
Academic Structure > Cardiovascular & Genomics Research Institute > Clinical Cardiology
Journal or Publication Title: TRIALS
ISSN: 1745-6215
Language: en
Publisher License: Creative Commons: Attribution-Noncommercial-No Derivative Works 4.0
Projects:
Project IDFunderFunder ID
NIHR201004National Institute for Health and Care Researchhttps://doi.org/10.13039/501100000272
URI: https://openaccess.sgul.ac.uk/id/eprint/117505
Publisher's version: https://doi.org/10.1186/s13063-025-08770-5

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