TY - JOUR
T1 - IVUS-Based FSI Models for Human Coronary Plaque Progression Study
T2 - Components, Correlation and Predictive Analysis
AU - Wang, Liang
AU - Wu, Zheyang
AU - Yang, Chun
AU - Zheng, Jie
AU - Bach, Richard
AU - Muccigrosso, David
AU - Billiar, Kristen
AU - Maehara, Akiko
AU - Mintz, Gary S.
AU - Tang, Dalin
N1 - Publisher Copyright:
© 2014, Biomedical Engineering Society.
PY - 2014/1
Y1 - 2014/1
N2 - Atherosclerotic plaque progression is believed to be associated with mechanical stress conditions. Patient follow-up in vivo intravascular ultrasound coronary plaque data were acquired to construct fluid–structure interaction (FSI) models with cyclic bending to obtain flow wall shear stress (WSS), plaque wall stress (PWS) and strain (PWSn) data and investigate correlations between plaque progression measured by wall thickness increase (WTI), cap thickness increase (CTI), lipid depth increase (LDI) and risk factors including wall thickness (WT), WSS, PWS, and PWSn. Quarter average values (n = 178–1016) of morphological and mechanical factors from all slices were obtained for analysis. A predictive method was introduced to assess prediction accuracy of risk factors and identify the optimal predictor(s) for plaque progression. A combination of WT and PWS was identified as the best predictor for plaque progression measured by WTI. Plaque WT had best overall correlation with WTI (r = −0.7363, p < 1E−10), cap thickness (r = 0.4541, p < 1E−10), CTI (r = −0.4217, p < 1E−8), LD (r = 0.4160, p < 1E−10), and LDI (r = −0.4491, p < 1E−10), followed by PWS (with WTI: (r = −0.3208, p < 1E−10); cap thickness: (r = 0.4541, p < 1E−10); CTI: (r = −0.1719, p = 0.0190); LD: (r = −0.2206, p < 1E−10); LDI: r = 0.1775, p < 0.0001). WSS had mixed correlation results.
AB - Atherosclerotic plaque progression is believed to be associated with mechanical stress conditions. Patient follow-up in vivo intravascular ultrasound coronary plaque data were acquired to construct fluid–structure interaction (FSI) models with cyclic bending to obtain flow wall shear stress (WSS), plaque wall stress (PWS) and strain (PWSn) data and investigate correlations between plaque progression measured by wall thickness increase (WTI), cap thickness increase (CTI), lipid depth increase (LDI) and risk factors including wall thickness (WT), WSS, PWS, and PWSn. Quarter average values (n = 178–1016) of morphological and mechanical factors from all slices were obtained for analysis. A predictive method was introduced to assess prediction accuracy of risk factors and identify the optimal predictor(s) for plaque progression. A combination of WT and PWS was identified as the best predictor for plaque progression measured by WTI. Plaque WT had best overall correlation with WTI (r = −0.7363, p < 1E−10), cap thickness (r = 0.4541, p < 1E−10), CTI (r = −0.4217, p < 1E−8), LD (r = 0.4160, p < 1E−10), and LDI (r = −0.4491, p < 1E−10), followed by PWS (with WTI: (r = −0.3208, p < 1E−10); cap thickness: (r = 0.4541, p < 1E−10); CTI: (r = −0.1719, p = 0.0190); LD: (r = −0.2206, p < 1E−10); LDI: r = 0.1775, p < 0.0001). WSS had mixed correlation results.
KW - Coronary
KW - Fluid–structure interaction
KW - IVUS
KW - Plaque progression
KW - Plaque rupture
UR - http://www.scopus.com/inward/record.url?scp=84920521263&partnerID=8YFLogxK
U2 - 10.1007/s10439-014-1118-1
DO - 10.1007/s10439-014-1118-1
M3 - Article
C2 - 25245219
AN - SCOPUS:84920521263
SN - 0090-6964
VL - 43
SP - 107
EP - 121
JO - Annals of biomedical engineering
JF - Annals of biomedical engineering
IS - 1
ER -