Intraluminal Thrombus Characteristics in AAA Patients: Non-Invasive Diagnosis Using CFD

Author:

Belkacemi Djelloul12,Tahar Abbes Miloud1,Al-Rawi Mohammad3ORCID,Al-Jumaily Ahmed M.4,Bachene Sofiane5,Laribi Boualem6

Affiliation:

1. Mechanics and Energetics Laboratory, Hassiba Ben Bouali University, Chlef 02000, Algeria

2. Unité de Développement des Equipements Solaires UDES, CDER, Bousmail, Tipaza 42415, Algeria

3. Center for Engineering and Industrial Design, Waikato Institute of Technology, Hamilton 3240, New Zealand

4. Institute of Biomedical Technologies, Auckland University of Technology, Auckland 1010, New Zealand

5. Radiologie, Centre d’Imagerie Médicale, Cheraga, Algiers 16000, Algeria

6. FIMA Laboratory, Department of Technology, Djilali Bounaama University, Khemis Miliana 44225, Algeria

Abstract

Abdominal aortic aneurysms (AAA) continue to pose a high mortality risk despite advances in medical imaging and surgery. Intraluminal thrombus (ILT) is detected in most AAAs and may critically impact their development. Therefore, understanding ILT deposition and growth is of practical importance. To assist in managing these patients, the scientific community has been researching the relationship between intraluminal thrombus (ILT) and hemodynamic parameters wall shear stress (WSS) derivatives. This study analyzed three patient-specific AAA models reconstructed from CT scans using computational fluid dynamics (CFD) simulations and a pulsatile non-Newtonian blood flow model. The co-localization and relationship between WSS-based hemodynamic parameters and ILT deposition were examined. The results show that ILT tends to occur in regions of low velocity and time-averaged WSS (TAWSS) and high oscillation shear index (OSI), endothelial cell activation potential (ECAP), and relative residence time (RRT) values. ILT deposition areas were found in regions of low TAWSS and high OSI independently of the nature of flow near the wall characterized by transversal WSS (TransWSS). A new approach is suggested which is based on the estimation of CFD-based WSS indices specifically in the thinnest and thickest ILT areas of AAA patients; this approach is promising and supports the effectiveness of CFD as a decision-making tool for clinicians. Further research with a larger patient cohort and follow-up data are needed to confirm these findings.

Publisher

MDPI AG

Subject

Bioengineering

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