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• W2922006793 abstract "It has been hypothesized that combining morphological and mechanical risk factors may improve plaque progression prediction. In this paper, plaque burden (PB), cap thickness (CT), lipid percent (LP), plaque wall stress (PWS), plaque wall strain (PWSn) and their combinations were used as predictors to identify the best predictor(s) for plaque progression measured by plaque area increase (PAI) from baseline (T1) and follow-up (T2). In vivo magnetic resonance image (MRI) carotid plaque data were acquired from 8 patients (5 m, mean age 71) with follow-up (18 months) with informed consent obtained. We built 3D thin-layer models for the 41 matched slices to obtain plaque stress/strain data using patient-specific material properties determined from Cine MRI and patient arm blood pressure. The mean values of the 5 predictors from all lumen points of each slice were obtained for analysis. For each predictor Y, a threshold value Yc was determined so that optimal agreement rate was obtained (agreement cases are either {(Y>Yc) and (PAI >0)} or {(Y≤Yc) and (PAI ≤0)}). For PWS and PWSn, we used (either {(Y<Yc) and (PAI >0)} or {(Y≥Yc) and (PAI ≤0)}). Two combinations of predictors COM1=a1*PB+a2*CT+a3*LP, COM2=b1*PB+b2*CT+b3*LP+b4*PWS+b5*PWSn were considered, where COM1 combines PB with morphological features, and COM2 combines all 5 predictors. The coefficients in these formulas were determined by using iterative linearly fitting method and initial guess of threshold values from single predictor results. The optimal threshold values for the 5 single predictors and 2 combination predictors are given in Table 1. PWSn was the best single predictor and COM2 was the best combination predictor. The threshold value-based method is simple and easy for clinical implementation. Our preliminary results indicate that combining PB, CT, LP, PWS, and PWSn could improve the agreement rate by nearly 10%, compared to using PB alone. Large-scale patient studies are needed to confirm our findings." @default.
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• W2922006793 date "2018-05-01" @default.
• W2922006793 modified "2023-10-18" @default.
• W2922006793 title "Abstract 345: Combining Morphological and Mechanical Risk Factors May Improve Carotid Plaque Progression Prediction: an Magnetic Resonance Image-Based Follow-Up Study" @default.
• W2922006793 doi "https://doi.org/10.1161/atvb.38.suppl_1.345" @default.
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