Predicting Plaque Growth Using Blood Flow Stress Markers
Official title: Plaque Prediction Obtained With Shear Stress Endothelial Metrics: A Proof of Principle Study
Run by Queen Mary University of London · NCT07864051 · Data updated 2026-11-12
This study tests whether combining blood flow patterns in the heart arteries with how blood-flow–sensitive cells respond can help predict which plaques will grow in people with coronary artery disease.
Quick facts
| Study type | Interventional |
|---|---|
| Ages | 40 Years and up |
| Sex | All |
| Enrollment | 270 (estimated) |
| Sponsor | Queen Mary University of London Academic / other |
| Drugs / interventions | radiation |
| Locations | 1 site (London) |
| Status | Recruiting |
| Started | September 17, 2026 |
| Main results expected | September 1, 2031 |
| Study ends | September 17, 2031 |
| Registry record updated | October 7, 2026 |
| Trial ID | NCT07864051 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Adults aged 40 or older with stable angina and either reversible ischemia on testing or documented obstructive coronary disease (≥70% stenosis in a major epicardial artery or positive FFR).
✕Probably not a fit
Patients with recent acute coronary syndrome, significant kidney impairment, prior bypass surgery, or other high-risk exclusions may not benefit from this approach.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
In coronary artery disease, some plaques grow and may rupture, causing a heart attack. This study combines coronary imaging to map blood flow patterns with blood-derived endothelial cells to see how cells respond to flow stress, aiming to better predict plaque progression. Participants will undergo a specialized CT coronary angiography scan and provide a blood sample for endothelial cell analysis; their plaques will be tracked over time. The approach uses computational fluid dynamics to assess wall shear stress alongside biological responses to improve prediction of plaque growth. The study is exploratory and focuses on identifying patient-specific factors that influence plaque progression.
Why it matters
Potential benefit: If successful, patients could receive more personalized prevention and treatment decisions based on their predicted plaque progression risk.
How similar studies have gone: Previous work shows that hemodynamic factors like wall shear stress relate to plaque behavior, but combining biology with flow is a newer, exploratory approach with limited precedent.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: 1. Age ≥40 2. Stable angina, defined as typical symptoms with evidence of reversible ischemia in non-invasive test and/or documented obstructive coronary artery disease on coronary angiography (\>70% stenosis of at least one major epicardial coronary artery or positive fractional flow reserve study) 3. Patient that is willing and can provide written informed consent. Exclusion Criteria: 1. Acute coronary syndrome within \<3 months 2. Estimated glomerular filtration rate (eGFR) \<60ml/min/1.73m² 3. Previous coronary artery bypass surgery 4. Decompensated heart failure, or left ventricular ejection fraction ≤30% 5. Patient allergic to contrast or cannot receive treatment with aspirin, heparin, or thienopyridines 6. Anticipated life expectancy \<2 years 7. Flow limiting coronary artery disease in the proximal segments of all the 3 epicardial coronaries 8. History of heart transplantation 9. Patient that requires surgical revascularization 10. Extensive coronary artery disease (i.e., multiple chronic total occlusions) or tortuous coronary anatomy that does not allow assessment of the coronary arteries with intravascular imaging 11. Pregnant women will be excluded. All women of childbearing potential will undergo a pregnancy risk assessment and a urine pregnancy test prior to the 12-month PCCTA scan, in line with standard clinical practice for all PCCTA scans.
Where it's running
-
Queen Marys University London
London, United Kingdom Recruiting
Study contacts
- Study coordinator: Paul C Evans
- Email: paul.evans@qmul.ac.uk
- Phone: +447825611695
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.