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Identifying Coronary Artery Calcification on Non-gated Computed Tomography Scans
Published on: August 28, 2018
Non-invasive characterization of complex coronary lesions
Madhurima Vardhan1, John Gounley2, S James Chen3
1Department of Biomedical Engineering, Duke University, Durham, NC, 27705, USA.
Insights
A new computational fluid dynamic (CFD-CA) framework accurately assesses complex coronary lesions. This method reveals higher endothelial shear stress (ESS) in complex lesions, offering better insights than traditional pressure-based indices like FFR.
Area of Science:
- Cardiovascular Imaging and Hemodynamics
- Computational Fluid Dynamics in Medicine
- Interventional Cardiology
Background:
- Complex coronary lesions (Type B and C) pose diagnostic and treatment challenges, often excluded from clinical trials.
- Current invasive techniques lack validated methods to characterize hemodynamics and guide intervention for these complex lesions.
- Personalized treatment for complex lesions is hindered by inadequate assessment of hemodynamic quantities.
Purpose of the Study:
- To introduce and validate a coronary angiography-based computational fluid dynamic (CFD-CA) framework for intracoronary assessment of complex coronary lesions.
- To identify key biomarkers differentiating complex Type B and C lesions from simple Type A lesions.
- To evaluate the hemodynamic differences between complex and simple coronary lesions using the CFD-CA framework.
Main Methods:
- Developed and validated an ultra-high resolution CFD-CA framework using data from 14 patients (7 complex, 7 simple lesions).
- Intracoronary assessment included derivation of local pressure, endothelial shear stress (ESS), and velocity profiles.
- CFD-CA framework accuracy was validated against invasive pressure-based measurements, such as fractional flow reserve (FFR).
Main Results:
- The CFD-CA framework demonstrated excellent agreement with invasive measurements.
- The model enabled physiological assessment and quantification of hemodynamic metrics in vessels down to 1mm in diameter.
- Complex lesions exhibited significantly higher ESS (e.g., [Formula: see text] Pa) compared to simple lesions ([Formula: see text] Pa) under both resting and hyperemic states.
Conclusions:
- The validated CFD-CA framework provides accurate physiological assessment for complex coronary lesions.
- Differential hemodynamic evaluation, particularly ESS, offers insights into adverse outcomes in complex lesion patients.
- This hemodynamic assessment has incremental prognostic value over traditional pressure-based indices like FFR for complex coronary lesions.
Abstract:
Conventional invasive diagnostic imaging techniques do not adequately resolve complex Type B and C coronary lesions, which present unique challenges, require personalized treatment and result in worsened patient outcomes. These lesions are often excluded from large-scale non-invasive clinical trials and there does not exist a validated approach to characterize hemodynamic quantities and guide percutaneous intervention for such lesions. This work identifies key biomarkers that differentiate complex Type B and C lesions from simple Type A lesions by introducing and validating a coronary angiography-based computational fluid dynamic (CFD-CA) framework for intracoronary assessment in complex lesions at ultrahigh resolution. Among 14 patients selected in this study, 7 patients with Type B and C lesions were included in the complex lesion group including ostial, bifurcation, serial lesions and lesion where flow was supplied by collateral bed. Simple lesion group included 7 patients with lesions that were discrete, [Formula: see text] long and readily accessible. Intracoronary assessment was performed using CFD-CA framework and validated by comparing to clinically measured pressure-based index, such as FFR. Local pressure, endothelial shear stress (ESS) and velocity profiles were derived for all patients. We validates the accuracy of our CFD-CA framework and report excellent agreement with invasive measurements ([Formula: see text]). Ultra-high resolution achieved by the model enable physiological assessment in complex lesions and quantify hemodynamic metrics in all vessels up to 1mm in diameter. Importantly, we demonstrate that in contrast to traditional pressure-based metrics, there is a significant difference in the intracoronary hemodynamic forces, such as ESS, in complex lesions compared to simple lesions at both resting and hyperemic physiological states [n = 14, [Formula: see text]]. Higher ESS was observed in the complex lesion group ([Formula: see text] Pa) than in simple lesion group ([Formula: see text] Pa). Complex coronary lesions have higher ESS compared to simple lesions, such differential hemodynamic evaluation can provide much the needed insight into the increase in adverse outcomes for such patients and has incremental prognostic value over traditional pressure-based indices, such as FFR.
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