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Does a probabilistic rupture risk index (PRRI) improve discrimination between ruptured and intact abdominal aortic aneurysms compared to deterministic approaches?
Does a probabilistic rupture risk index (PRRI) improve discrimination between ruptured and intact abdominal aortic aneurysms compared to deterministic approaches?
A novel probabilistic rupture risk index (PRRI) demonstrates high discriminative power for identifying ruptured versus intact abdominal aortic aneurysms, outperforming purely deterministic biomechanical models.
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May refine AAA rupture predictions by incorporating input uncertainties; leaves open prospective outcome validation before clinical use.
A rupture risk assessment is critical to the clinical treatment of abdominal aortic aneurysm (AAA) patients. The biomechanical AAA rupture risk assessment quantitatively integrates many known AAA rupture risk factors but the variability of risk predictions due to model input uncertainties remains a challenging limitation. This study derives a probabilistic rupture risk index (PRRI). Specifically, the uncertainties in AAA wall thickness and wall strength were considered, and wall stress was predicted with a state-of-the-art deterministic biomechanical model. The discriminative power of PRRI was tested in a diameter-matched cohort of ruptured (n = 7) and intact (n = 7) AAAs and compared to alternative risk assessment methods. Computed PRRI at 1.5 mean arterial pressure was significantly (p = 0.041) higher in ruptured AAAs (20.21(s.d. 14.15%)) than in intact AAAs (3.71(s.d. 5.77)%). PRRI showed a high sensitivity and specificity (discriminative power of 0.837) to discriminate between ruptured and intact AAA cases. The underlying statistical representation of stochastic data of wall thickness, wall strength and peak wall stress had only negligible effects on PRRI computations. Uncertainties in AAA wall stress predictions, the wide range of reported wall strength and the stochastic nature of failure motivate a probabilistic rupture risk assessment. Advanced AAA biomechanical modelling paired with a probabilistic rupture index definition as known from engineering risk assessment seems to be superior to a purely deterministic approach.
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Polzer et al. (2015) studied this question.
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