29 March 2016 Comprehensive serial study of dynamic remodeling of atherosclerotic coronary arteries using IVUS
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We present a semi-automated approach to comprehensively examine coronary remodeling over the entire length of intravascular ultrasound (IVUS) imaged vessels. Serial measurements at baseline and 12-month follow-up are analyzed rather than static data obtained at a single time point. Every IVUS pullback is segmented automatically, and then reviewed and algorithmically refined by an expert using a computer-aided just-enough-interaction approach. Subsequently, pairs of serial IVUS pullbacks are registered automatically using 3D graph optimization approach. Based on plaque volume increases or decreases over time, pullback frames are divided into two groups — progression and regression. It is shown that plaque progression rates are positively correlated with percent stenosis (PS) indices (p≪0.01) while plaque regression rates are negatively correlated with percent stenosis indices (p≪0.01). Moreover, for the progression group, adventitia area increases in direct relation with the baseline percent stenosis (p=0.007) when PS is less than 50%. Significance of such a correlation is not observed when percent stenosis exceeds 50%. Conversely, for the regression group, change of adventitia area is relatively constant for percent stenosis <50%; but decreases in direct relation with baseline stenosis (p≪0.01) when stenosis > 50%. This strongly suggests that lipid lowering treatment may effectively suppress plaque progression and accelerate plaque regression, especially for larger values of percent stenosis, and further accelerate the corresponding adventitia-remodeling process.
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Zhi Chen, Zhi Chen, Andreas Wahle, Andreas Wahle, Ling Zhang, Ling Zhang, Tomas Kovarnik, Tomas Kovarnik, John J. Lopez, John J. Lopez, Milan Sonka, Milan Sonka, } "Comprehensive serial study of dynamic remodeling of atherosclerotic coronary arteries using IVUS", Proc. SPIE 9788, Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging, 97880Y (29 March 2016); doi: 10.1117/12.2217152; https://doi.org/10.1117/12.2217152

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