Arterial haemodynamics in patients with aortic dissections

  • Research type

    Research Study

  • Full title

    Perfusion optimisation for the design of vascular grafts used in the treatment of aortic disease

  • IRAS ID

    287048

  • Contact name

    Asimina Kazakidi

  • Contact email

    asimina.kazakidi@strath.ac.uk

  • Sponsor organisation

    University of Strathclyde

  • Clinicaltrials.gov Identifier

    130285, RKES

  • Duration of Study in the UK

    2 years, 0 months, 1 days

  • Research summary

    Cardiovascular diseases such as aortic dissections affect portions of the large artery known as the aorta, resulting in a tear in the vessel wall and creation of a false lumen. In advanced cases, there is a tendency for the vessel to expand and rupture in the absence of surgical intervention, leading to significant internal bleeding. Consequently, stent grafts are implemented to replace the diseased section of the aorta. However, it is important to optimise perfusion through the branch vessel in patient-specific cases to improve surgical outcome.
    This project aims to investigate computationally the pre-surgical blood perfusion in diseased vessels and arterial haemodynamics. For this reason, we wish to study a group of patients with known aortic dissections.
    We aim to perform secondary analysis of existing computed tomography (CT) images. These images are part of existing regular clinical screening and no new CT scans will be conducted to any patient for the purpose of this research. The images will be processed only after they are encrypted and fully anonymised (all metadata and patient information will be completely removed) by the clinicians at the hospital.
    The CT images will be used to reconstruct the geometry of these blood vessels to generate patient-specific computational models, permitting visualisation of blood flow and computation of haemodynamic parameters. Further, the CT images will serve as a gold standard to allow validation of the same vessel reconstruction through previously reconstructed through different methods.

  • REC name

    South East Scotland REC 01

  • REC reference

    20/SS/0118

  • Date of REC Opinion

    11 Nov 2020

  • REC opinion

    Favourable Opinion