Original article
Adult cardiac
Computational Fluid Dynamics and Aortic Thrombus Formation Following Thoracic Endovascular Aortic Repair

https://doi.org/10.1016/j.athoracsur.2016.09.067Get rights and content

Background

We present the possible utility of computational fluid dynamics in the assessment of thrombus formation and virtual surgical planning illustrated in a patient with aortic thrombus in a kinked ascending aortic graft following thoracic endovascular aortic repair.

Methods

A patient-specific three-dimensional model was built from computed tomography. Additionally, we modeled 3 virtual aortic interventions to assess their effect on thrombosis potential: (1) open surgical repair, (2) conformable endografting, and (3) single-branched endografting. Flow waveforms were extracted from echocardiography and used for the simulations. We used the computational index termed platelet activation potential (PLAP) representing accumulated shear rates of fluid particles within a fluid domain to assess thrombosis potential.

Results

The baseline model revealed high PLAP in the entire arch (119.8 ± 42.5), with significantly larger PLAP at the thrombus location (125.4 ± 41.2, p < 0.001). Surgical repair showed a 37% PLAP reduction at the thrombus location (78.6 ± 25.3, p < 0.001) and a 24% reduction in the arch (91.6 ± 28.9, p < 0.001). Single-branched endografting reduced PLAP in the thrombus region by 20% (99.7 ± 24.6, p < 0.001) and by 14% in the arch (103.8 ± 26.1, p < 0.001), whereas a more conformable endograft did not have a profound effect, resulting in a modest 4% PLAP increase (130.6 ± 43.7, p < 0.001) in the thrombus region relative to the baseline case.

Conclusions

Regions of high PLAP were associated with aortic thrombus. Aortic repair resolved pathologic flow patterns, reducing PLAP. Branched endografting also relieved complex flow patterns reducing PLAP. Computational fluid dynamics may assist in the prediction of aortic thrombus formation in hemodynamically complex cases and help guide repair strategies.

Section snippets

Clinical Data

CTA was performed with 64-slice scanners and intravenous injection of 80 to 120 mL of nonionic iodinated contrast material. The CTA was used to build the computational models. MRI studies were conducted using a gadolinium-based contrast agent (gadobenate dimeglumine) and steady-state free precession cine imaging. Additionally, black blood imaging and multiphase dynamic three-dimensional MRI were performed with the injection of the contrast bolus to visualize aortic thrombus. Approval was

Results

The computed hemodynamics of the baseline model are summarized in Figure 3. Peak flow was 304.7 mL/s and 254.2 mL/s in the ascending and denscending aorta, respectively. Retrograde diastolic flow was observed in both ascending (with a peak of 0.2 mL/s) and descending aorta (peak of 25.8 mL/s). The different flow and pressure waveforms show realistic profiles for all branches of the model, including predominantly diastolic flow in the left coronary artery, matched mean values of pressure and

Comment

This study demonstrated a correlation between intraluminal ascending aortic thrombus and high levels of intraluminar shear through CFD analysis. Complex flow patterns in a complex geometry resulting from kinking of a vascular graft appear to significantly contribute to the increase in shear rates between blood particles. Such shear is known to activate platelets with altered risk of thrombus formation 6, 7. This study had two primary motivations: (1) to confirm the suitability of the platelet

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