At a glance
- What the study gets you
- Health checks and monitoring — no treatment given
- Type of study
- Observational (no treatment given)
- Time in hospital
- In-person visits at study sites — visit count not specified by the sponsor
- Drug or intervention
- No intervention, retrospective study (other)
- How long the study runs
- Study runs about 67 months (dates as stated)
- About the drug or intervention
- No intervention, retrospective study — other: No intervention, retrospective study
- Patient visit burden
- Not specified by the sponsor
- Type of study
- Observing health over time
- Ages
- 40 Years to 90 Years
- Who
- All
- Number of participants
- 11,000
- Started
- 2023-10-31
- Last checked
- 2026-09
Plain English Summary
What is this study?
- • Testing a new treatment for aneurysm abdominal
- • Clinical study - 11,000 participants
- • The VASCULAID-RETRO study, within the broader VASCULAID project, aims to create artificial intelligence (AI) algorithms that can predict cardiovascular events and the progression of abdominal aortic aneurysm (AAA) and peripheral arterial disease (PAD)
Who can take part?
- • Ages 40 Years to 90 Years
- • Diagnosed with aneurysm abdominal
Where?
- • Oxford - Oxford University Hospitals
This is a simplified summary. Always discuss with your doctor before making any decisions.
About This Trial
The VASCULAID-RETRO study, within the broader VASCULAID project, aims to create artificial intelligence (AI) algorithms that can predict cardiovascular events and the progression of abdominal aortic aneurysm (AAA) and peripheral arterial disease (PAD). The study plans to gather and analyze data from at least 5000 AAA and 6000 PAD patients, combining existing cohorts and retrospectively collected data. During this project, AI tools will be developed to perform automatic anatomical segmentation and analyses on multimodal imaging. AI prediction algorithms will be developed based on multisource data (imaging, medical history, -omics).
More detail
To date, it is unknown which abdominal aortic aneurysm (AAA) and peripheral arterial disease (PAD) patients will suffer cardiovascular events or in which patients the AAA or PAD will progress. In the VASCULAID project, the VASCULAID-RETRO study aims to leverage data from existing cohorts and retrospectively collected data to develop artificial intelligence (AI) algorithms able to evaluate the risk of cardiovascular events and extent of disease progression. In order to build and train the algorithms for the predictions, we plan to retrospectively enroll at least 5000 AAA and 6000 PAD patients AI-tools will be applied to the patient data. Automatic anatomical segmentation on images and image analysis on US, CTA and MRI will be performed. Also, algorithms to predict cardiovascular events and AAA or PAD progression based on multi-source data analysis will be developed. Patient data from European clinical consortium partners is available. This consortium has access to big cohorts with relevant data for the envisioned study that will be used to enrich the existing registries. These data will be used to refine the algorithms developed for the prediction of cardiovascular events and AAA/PAD progression.
How this trial compares with your answers
Answer 2 more questions to improve match
What we know so far
Still need:
- • Tell us your age for better matching
- • Tell us your sex for better matching
Preliminary match based on your answers. Full eligibility requires on-site assessment including medical history, physical exam, and lab tests. This does not guarantee enrolment.
Eligibility at a Glance
Key info
- Age: 40 Years - 90 Years
- Who can join: All genders
What the study is looking for
- ✓Inclusion Criteria AAA:
- ✓Males and females
- ✓40-90 years old,
- ✓Infrarenal, juxtarenal, suprarenal, iliac aneurysms (defined as 1.5x its normal diameter), and mycotic aneurysms.
- ✓Starting AAA diameter \>3cm,
See the full criteria
Where Is This Study? (1 UK site)
Oxford University Hospitals
Oxford, United Kingdom
How to Get in Touch
Kak Khee Yeung, MD, PhD
Sponsor contactCONTACT
Lotte Rijken, Msc.
Sponsor contactCONTACT
