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Peak wall stress predicts expansion rate in descending thoracic aortic aneurysms
Eric K Shang1, Derek P Nathan, Shanna R Sprinkle
1Department of Surgery, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA.
Insights
Peak wall stress in thoracic aortic aneurysms strongly correlates with expansion rate and surgical intervention needs. This measure may improve clinical decision-making over diameter alone for aortic disease management.
Area of Science:
- Biomedical Engineering
- Cardiovascular Research
- Medical Imaging Analysis
Background:
- Aortic aneurysms are a significant cause of mortality, with descending thoracic aortic aneurysms affecting 10.4 per 100,000 patient-years.
- Traditional assessment relies on diameter, but structural analysis of aortic geometry offers improved outcome prediction.
- Stress measurements from aortic geometry show promise in predicting clinical events.
Purpose of the Study:
- To investigate the correlation between computational peak wall stress and aneurysm growth rate.
- To determine if peak wall stress can predict the need for surgical intervention in thoracic aortic aneurysms.
- To compare the predictive power of peak wall stress versus maximal diameter for clinical outcomes.
Main Methods:
- Retrospective analysis of 25 patients with thoracic aortic aneurysms.
- Custom MATLAB algorithms for extracting aortic and thrombus geometry from CT angiography.
- Finite element analysis to simulate stress distribution under physiological pressure (120 mm Hg).
Main Results:
- Peak wall stress showed a strong correlation (r=0.894) with aneurysm growth rate, surpassing that of maximal diameter (r=0.531).
- Aneurysms requiring surgery exhibited significantly higher peak wall stresses (300 ± 75 kPa) compared to those under surveillance (229 ± 47 kPa, p=0.01).
- Average aneurysm growth rate was 2.9 ± 2.4 mm/year, with mean diameter increasing from 47.8 to 52.1 mm.
Conclusions:
- Computational peak wall stress is a strong predictor of thoracic aortic aneurysm expansion rate.
- Higher peak wall stress is associated with the need for surgical intervention.
- Peak wall stress offers a potentially superior metric for guiding clinical decisions in aortic aneurysm management compared to diameter.
Background:
Aortic diseases, including aortic aneurysms, are the 12th leading cause of death in the United States. The incidence of descending thoracic aortic aneurysms is estimated at 10.4 per 100,000 patient-years. Growing evidence suggests that stress measurements derived from structural analysis of aortic geometries predict clinical outcomes better than diameter alone.
Methods:
Twenty-five patients undergoing clinical and radiologic surveillance for thoracic aortic aneurysms were retrospectively identified. Custom MATLAB algorithms were employed to extract aortic wall and intraluminal thrombus geometry from computed tomography angiography scans. The resulting reconstructions were loaded with 120 mm Hg of pressure using finite element analysis. Relationships among peak wall stress, aneurysm growth, and clinical outcome were examined.
Results:
The average patient age was 71.6 ± 10.0 years, and average follow-up time was 17.5 ± 9 months (range, 6 to 43). The mean initial aneurysm diameter was 47.8 ± 8.0 mm, and the final diameter was 52.1 ± 10.0 mm. Mean aneurysm growth rate was 2.9 ± 2.4 mm per year. A stronger correlation (r = 0.894) was found between peak wall stress and aneurysm growth rate than between maximal aortic diameter and growth rate (r = 0.531). Aneurysms undergoing surgical intervention had higher peak wall stresses than aneurysms undergoing continued surveillance (300 ± 75 kPa versus 229 ± 47 kPa, p = 0.01).
Conclusions:
Computational peak wall stress in thoracic aortic aneurysms was found to be strongly correlated with aneurysm expansion rate. Aneurysms requiring surgical intervention had significantly higher peak wall stresses. Peak wall stress may better predict clinical outcome than maximal aneurysmal diameter, and therefore may guide clinical decision-making.
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