Key result
Coronary plaque wall thickness correlates positively with flow shear stress and negatively with plaque wall stress.
Why the study?
Does coronary plaque wall thickness correlate with flow shear stress and plaque wall stress in patient-specific computational models?
Observational (n=10)
Yes
Does coronary plaque wall thickness correlate with flow shear stress and plaque wall stress in patient-specific computational models?
Patient-specific IVUS-based computational modeling demonstrates that coronary plaque wall thickness correlates positively with flow shear stress and negatively with plaque wall stress.
Answers are grounded in this paper and cite their sources.
Supports biomechanical plaque modeling; hypothesis-generating and should not yet change practice.
BACKGROUND: Atherosclerotic plaque progression and rupture are believed to be associated with mechanical stress conditions. In this paper, patient-specific in vivo intravascular ultrasound (IVUS) coronary plaque image data were used to construct computational models with fluid-structure interaction (FSI) and cyclic bending to investigate correlations between plaque wall thickness and both flow shear stress and plaque wall stress conditions. METHODS: IVUS data were acquired from 10 patients after voluntary informed consent. The X-ray angiogram was obtained prior to the pullback of the IVUS catheter to determine the location of the coronary artery stenosis, vessel curvature and cardiac motion. Cyclic bending was specified in the model representing the effect by heart contraction. 3D anisotropic FSI models were constructed and solved to obtain flow shear stress (FSS) and plaque wall stress (PWS) values. FSS and PWS values were obtained for statistical analysis. Correlations with p < 0.05 were deemed significant. RESULTS: Nine out of the 10 patients showed positive correlation between wall thickness and flow shear stress. The mean Pearson correlation r-value was 0.278 ± 0.181. Similarly, 9 out of the 10 patients showed negative correlation between wall thickness and plaque wall stress. The mean Pearson correlation r-value was -0.530 ± 0.210. CONCLUSION: Our results showed that plaque vessel wall thickness correlated positively with FSS and negatively with PWS. The patient-specific IVUS-based modeling approach has the potential to be used to investigate and identify possible mechanisms governing plaque progression and rupture and assist in diagnosis and intervention procedures. This represents a new direction of research. Further investigations using more patient follow-up data are warranted.
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Fan et al. (2014) conducted an observational in Coronary atherosclerotic plaque (n=10). Flow shear stress and plaque wall stress was evaluated on Correlation between plaque wall thickness and flow shear stress (FSS) and plaque wall stress (PWS) (mean r=0.278 for FSS, mean r=-0.530 for PWS, p=<0.05). Coronary plaque wall thickness correlated positively with flow shear stress and negatively with plaque wall stress in patient-specific IVUS-based computational models.
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