Abstract:
:Plaque progression and vulnerability are influenced by many risk factors. Our goal is to find a simple method to combine multiple risk factors for better plaque development prediction. Intravascular ultrasound data at baseline and follow-up were acquired from nine patients, and fluid-structure interaction models were constructed to obtain plaque wall stress/strain (PWS/PWSn) and wall shear stress (WSS). Two hundred fifty-four slices with noticeable change in plaque burden were selected for analyses. Data of six key morphological and biomechanical factors were extracted from each slice at baseline to predict plaque development measured by plaque burden increase (PBI) from baseline to follow-up. A multi-factor decision-making strategy was proposed to assign a binary predictive outcome YW (W represents any combination of these six factors) based on simple "threshold value" idea to predict the ground truth YPBI: YPBI = 1 if PBI > 0; YPBI = 0 otherwise. A fivefold cross-validation procedure was employed to identify the optimal predictor among all possible combinations. The results showed that PWS was the best single-factor predictor for PBI with a prediction accuracy of 63.0%. Among all 63 combinations, combining lipid percent, PWS and WSS gave the optimal predictor, achieving a prediction accuracy of 68.1%. This demonstrated that compared to single factor alone, integrating morphological and biomechanical factors would lead to higher prediction accuracy. The simple method could be extended to combine factors from different sources to improve prediction accuracy. Efforts in mechanical analysis and modeling automation are needed to bring this strategy closer to potential clinical applications.
journal_name
Biomech Model Mechanobioljournal_title
Biomechanics and modeling in mechanobiologyauthors
Wang L,Tang D,Maehara A,Molony D,Zheng J,Samady H,Wu Z,Lu W,Zhu J,Ma G,Giddens DP,Stone GW,Mintz GSdoi
10.1007/s10237-019-01143-3subject
Has Abstractpub_date
2019-10-01 00:00:00pages
1269-1280issue
5eissn
1617-7959issn
1617-7940pii
10.1007/s10237-019-01143-3journal_volume
18pub_type
杂志文章abstract::The reopening of fluid-occluded pulmonary airways generates microbubble flows which impart complex hydrodynamic stresses to the epithelial cells lining airway walls. In this study we used boundary element solutions and finite element techniques to investigate how cell rheology influences the deformation and injury of ...
journal_title:Biomechanics and modeling in mechanobiology
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abstract::Continuum mechanical tools are used to describe the deformation, energy density, and material symmetry of a lipid bilayer with spontaneous curvature. In contrast to conventional approaches in which lipid bilayers are modeled by material surfaces, here we rely on a three-dimensional approach in which a lipid bilayer is...
journal_title:Biomechanics and modeling in mechanobiology
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abstract::Both the clinically established diameter criterion and novel approaches of computational finite element (FE) analyses for rupture risk stratification of abdominal aortic aneurysms (AAA) are based on assumptions of population-averaged, uniform material properties for the AAA wall. The presence of inter-patient and intr...
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journal_title:Biomechanics and modeling in mechanobiology
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journal_title:Biomechanics and modeling in mechanobiology
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journal_title:Biomechanics and modeling in mechanobiology
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journal_title:Biomechanics and modeling in mechanobiology
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journal_title:Biomechanics and modeling in mechanobiology
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journal_title:Biomechanics and modeling in mechanobiology
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journal_title:Biomechanics and modeling in mechanobiology
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journal_title:Biomechanics and modeling in mechanobiology
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journal_title:Biomechanics and modeling in mechanobiology
pub_type: 杂志文章,评审
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