Data-driven techniques to predict restenosis in femoral arteries
Research type
Research Study
Full title
“Data-driven techniques to predict restenosis development in diseased femoral arteries using demographic, clinical and hemodynamic descriptors”
IRAS ID
302179
Contact name
Janice Tsui
Contact email
Sponsor organisation
Joint Research Office
Clinicaltrials.gov Identifier
EP/W00481X/1 , EPSRC:Research Grant Code; EP/S021930/1 , EPSRC reference; Z6364106/2022/04/29, UCL Data Protection registration number
Duration of Study in the UK
1 years, 3 months, 0 days
Research summary
Peripheral arterial disease (PAD) is a important global healthcare challenge. It is mainly caused by atherosclerosis where lipid-rich plaques progressively narrow the arteries, limiting blood flow to the legs. Endovascular approaches, i.e. percutaneous balloon angioplasty (PTA), are increasing used as a minimally-invasive treatment for diseased femoral arteries. However, recurrent narrowing or blockage of the artery (restenosis) occurs in more than 60% of cases within 1-year of the procedure. Smoking, hypertension and diabetes are some of the major clinical risk factors but biomechanical factors also play an important role in both the disease progression as well as response to treatment although this is not well understood.
Current predictive models based only on routine clinical data are not really predictive. It is well known that haemodynamic variables and shear stress play a fundamental role in restenosis development. Pre-procedural CFD will be performed on 20 patients, where we will 3D reconstruct patient-specific vessel geometry and set personalised computational fluid dynamics (CFD) simulations, to find and quantify the specific fluid dynamics indices, that are important in restenosis. The incorporation of identified biomechanical and clinical variables in data-driven techniques may lead to the implementation of methods able to classify patients according to their risk of developing restenosis in the short- and medium-term. This information will help clinicians predict treatment outcomes to better inform patients and also enable implementation of personalised surveillance programmes and development of more efficient clinical workflows for PAD.In this study, patients not suffering from renal impairment, undergoing minimally-invasive procedures for PAD treatment at the Royal Free vascular unit, will be invited to participate. Information from their pre-intervention standard clinical imaging (i.e. CTA and Doppler US (DUS)) and 6 months follow-up (consisting in an extra CTA and DUS acquired as per standard clinical care) will be used for this work.
REC name
Wales REC 7
REC reference
22/WA/0234
Date of REC Opinion
23 Sep 2022
REC opinion
Further Information Favourable Opinion