Key result
Modified equations and the Probabilistic Wall Rupture Index demonstrated stronger sensitivity and minimized error for predicting abdominal aortic aneurysm rupture risk compared to numerical models.
Why the study?
Accurate prediction of abdominal aortic aneurysm rupturing risk requires comparison of numerical and probabilistic methods considering wall properties and patient factors.
Do probabilistic and numerical methods improve the prediction of abdominal aortic aneurysm rupture risk compared to diameter-based indices?
Observational (n=24)
Do probabilistic and numerical methods improve the prediction of abdominal aortic aneurysm rupture risk compared to diameter-based indices?
Probabilistic and numerical modeling incorporating wall thickness and strength may offer more sensitive prediction of AAA rupture risk than traditional diameter-based indices.
This study concerns to apply numerical methods and derives a comparative Abdominal Aortic Aneurysm (AAA). An accuracy comparison has been made using the index of rupturing risk versus one computed index. The study examines some factors such as age, Mean Arterial Pressure (MAP), stress-strain via the arterial wall stress (?), wall strength(S), and wall thickness (t). The qualms of AAA wall thickness are the most prevailing endogenous factors, as well as the wall stress and wall strength. A comparison between the Probabilistic Wall Rupture Index (PWRI), diameter-based index, and the output of the numerical method was done considering prediction power. Data records were taken from patients who underwent CT-Scan and ultrasound. Ten patients without rupturing cases were included in the statistical assessments. A matched diameter of a ruptured sample (n=7) and an unruptured sample (n=7) AAA was then considered. All the uncertainties that were observed in the thickness of the AAA wall and its strength were considered based originally on Laplace modified equation and PRRI analysis. The criteria for fitting a straight line to the data points were used for data graphing regarding the random nature of the collected data points. Statistical analysis (and plotting) of data was performed using MinitabTM, SPSSTM, and MatlabTM. The collagen-to- elastin ratio was taken as a measure of the AAA wall stiffness and tensile strength. The obtained results show that modified equations give a considerable coincide and minimum error compared with the original equation, and PRRI indicated a strong sensitivity more than the numerical models.
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Nawal Siddig (2022) conducted an observational in Abdominal Aortic Aneurysm (AAA) (n=24). Probabilistic Wall Rupture Index (PWRI) and modified Laplace equations vs. Numerical models and original Laplace equation was evaluated on Prediction power and sensitivity for AAA rupturing risk. Modified equations and the Probabilistic Wall Rupture Index demonstrated stronger sensitivity and minimized error for predicting abdominal aortic aneurysm rupture risk compared to numerical models.
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