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From Heart to Abdominal Aorta: Integrating Multi-Modal Cardiac Imaging Derived Haemodynamic Biomarkers for Abdominal
Rafic Ramses1, Obiekezie Agu1,2
1University College London Division of Surgery and Interventional Science, Royal Free Hospital, London NW3 2QG, UK.
Insights
Advanced cardiovascular imaging uses hemodynamic biomarkers to assess abdominal aortic aneurysms (AAA). Key metrics like wall shear stress (WSS) and oscillatory shear index (OSI) help predict AAA progression and treatment outcomes.
Area of Science:
- Cardiovascular Imaging
- Biomedical Engineering
- Medical Diagnostics
Background:
- Abdominal aortic aneurysm (AAA) management benefits from advanced imaging.
- Hemodynamic biomarkers offer mechanistic insights into AAA pathogenesis and progression.
Purpose of the Study:
- To review the clinical utility and significance of hemodynamic biomarkers in AAA.
- To evaluate advanced imaging techniques for quantifying these biomarkers.
Main Methods:
- Comprehensive review of literature on cardiovascular imaging and AAA.
- Analysis of biomarkers including wall shear stress (WSS), time-averaged wall shear stress (TAWSS), oscillatory shear index (OSI), and relative residence time (RRT).
- Inclusion of novel parameters like endothelial cell activation potential (ECAP), volumetric perivascular characterization index (VPCI), and pulse wave velocity (PWV).
Main Results:
- Low WSS (<0.4 Pa) and high OSI (>0.3-0.4) indicate pathological conditions and increased AAA risk.
- RRT (>2-3 Pa⁻¹) and ECAP (>0.2-0.3 Pa⁻¹) identify thrombosis and endothelial dysfunction risks.
- Advanced imaging (4D MRI, CFD) enables precise quantification of these hemodynamic parameters.
Conclusions:
- Hemodynamic biomarkers integrated with advanced imaging improve AAA risk stratification.
- Personalized treatment planning for AAA can be enhanced through these precise assessment tools.
- Further validation and standardization are needed for widespread clinical implementation.
Abstract:
Recent advances in cardiovascular imaging have revolutionized the assessment and management of abdominal aortic aneurysm (AAA) through the integration of sophisticated haemodynamic biomarkers. This comprehensive review evaluates the clinical utility and mechanistic significance of multiple biomarkers in AAA pathogenesis, progression, and treatment outcomes. Advanced cardiac imaging modalities, including four-dimensional magnetic resonance imaging (4D MRI), computational fluid dynamics (CFD), and specialized echocardiography, enable precise quantification of critical haemodynamic parameters. Wall shear stress (WSS) emerges as a fundamental biomarker, with values below 0.4 Pa indicating pathological conditions and increased risk for aneurysm progression. Time-averaged wall shear stress (TAWSS), typically maintaining values above 1.5 Pa in healthy arterial segments, provides crucial information about sustained haemodynamic forces affecting the vessel wall. The oscillatory shear index (OSI), ranging from 0 (unidirectional flow) to 0.5 (purely oscillatory flow), quantifies directional changes in WSS during cardiac cycles. In AAA, elevated OSI values between 0.3 and 0.4 correlate with disturbed flow patterns and accelerated disease progression. The relative residence time (RRT), combining TAWSS and OSI, identifies regions prone to thrombosis, with values exceeding 2-3 Pa-1 indicating increased risk. The endothelial cell activation potential (ECAP), calculated as OSI/TAWSS, serves as an integrated metric for endothelial dysfunction risk, with values above 0.2-0.3 Pa-1 suggesting increased inflammatory activity. Additional biomarkers include the volumetric perivascular characterization index (VPCI), which assesses vessel wall inflammation through perivascular tissue analysis, and pulse wave velocity (PWV), measuring arterial stiffness. Central aortic systolic pressure and the aortic augmentation index provide essential information about cardiovascular load and arterial compliance. Novel parameters such as particle residence time, flow stagnation, and recirculation zones offer detailed insights into local haemodynamics and potential complications. Implementation challenges include the need for specialized equipment, standardized protocols, and expertise in data interpretation. However, the potential for improved patient outcomes through more precise risk stratification and personalized treatment planning justifies continued development and validation of these advanced assessment tools.
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