Key result
CT-based fluid dynamics accurately tracks invasive trans-coarctation gradient drops, showing a post-stent reduction of ~49 mmHg.
Why the study?
Non-invasive haemodynamic assessment of trans-coarctation pressure gradient (ΔP) using computational fluid dynamics based on CT data requires validation against invasive measurements.
Does computational fluid dynamic simulation based on contrast-enhanced CT accurately estimate trans-coarctation pressure gradient compared to invasive measurements in patients with aortic coarctation?
Observational
Does computational fluid dynamic simulation based on contrast-enhanced CT accurately estimate trans-coarctation pressure gradient compared to invasive measurements in patients with aortic coarctation?
Computational fluid dynamic simulation using CT-derived anatomical data provides a non-invasive and accurate method to quantify aortic coarctation severity compared to invasive catheterization.
CFD modeling from CT enables non-invasive ΔP assessment in CoA; leaves open whether it can guide treatment decisions.
Coarctation of aorta (CoA) is a narrowing of the aorta leading to a pressure gradient (ΔP) across the coarctation, increased afterload and reduced peripheral perfusion pressures. Indication to invasive treatment is based on values of maximal (systolic) trans-coarctation ΔP. A computational fluid dynamic (CFD) approach is herein presented for the non-invasive haemodynamic assessment of ΔP across CoA. Patient-specific CFD simulations were created from contrast-enhanced computed tomography (CT) and appropriate flow boundary conditions. Computed ΔP was validated with invasive intravascular trans-CoA pressure measurements. Haemodynamic indices, including pressure loss coefficient (PLc), time-averaged wall shear stress (TAWSS) and oscillatory shear index (OSI), were also quantified. CFD-estimated ΔP values were comparable to the invasive ones. Moreover, the aorta proximal to CoA was exposed to altered TAWSS and OSI suggesting hypertension. PLc was found as a further geometric marker of CoA severity. Finally, CFD-estimated ΔP confirmed a significant reduction after percutaneous balloon dilatation and stenting of the CoA in one patient (e.g. from ΔP∼52 mmHg to ΔP∼3 mmHg). The validation of the ΔP computations with catheterisation measurements suggests that CFD simulation, based on CT-derived anatomical data, is a useful tool to readily quantify CoA severity.
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Rinaudo et al. (2014) conducted an observational in Coarctation of aorta. Computational fluid dynamic (CFD) simulation vs. Invasive intravascular trans-CoA pressure measurements was evaluated on Trans-coarctation pressure gradient (ΔP). Computational fluid dynamic simulations based on CT data yielded pressure gradient estimates comparable to invasive measurements, confirming a reduction from ~52 to ~3 mmHg post-stenting in one patient.
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