A robust approach for exploring hemodynamics and thrombus growth associations in abdominal aortic aneurysms

摘要: Longitudinal studies of vascular diseases often need to establish correspondence between follow-up images, as the diseased regions may change shape over time. In addition, spatial data structures should be taken into account in statistical analyses avoid inferential errors. This study investigates association hemodynamics and thrombus growth abdominal aortic aneurysms (AAAs) while emphasizing on abovementioned methodological issues. Six AAA surfaces their follow-ups were three-dimensionally reconstructed from computed-tomography images. mapped onto a rectangular grid which allowed identification corresponding follow-ups. Local thickness was measured at initial computational fluid dynamic simulations provided time-average wall shear stress (TAWSS), oscillatory index (OSI), relative residence Bayesian regression models, for spatially correlated measurements, employed explore associations growth. Results suggest that models based TAWSS OSI offer superior predictive performance alternative specifications. Ignoring structure lead improper assessment with regard predictor significance.