Why the study?
Does a rotational C-arm CT-based 3D heart model accurately predict optimal C-arm configuration compared to expert derivation in patients with severe aortic stenosis undergoing TAVR?
Does a rotational C-arm CT-based 3D heart model accurately predict optimal C-arm configuration compared to expert derivation in patients with severe aortic stenosis undergoing TAVR?
Automatic segmentation of the aortic root using a 3D anatomical model from rotational C-arm CT accurately predicts optimal C-arm angulation for TAVR, potentially simplifying clinical workflows.
Supports automated aortic root modeling for TAVR planning; hypothesis-generating for workflow benefits pending prospective validation.
AIM: To investigate the accuracy of a rotational C-arm CT-based 3D heart model to predict an optimal C-arm configuration during transcatheter aortic valve replacement (TAVR). METHODS: Rotational C-arm CT (RCT) under rapid ventricular pacing was performed in 57 consecutive patients with severe aortic stenosis as part of the pre-procedural cardiac catheterization. With prototype software each RCT data set was segmented using a 3D heart model. From that the line of perpendicularity curve was obtained that generates a perpendicular view of the aortic annulus according to the right-cusp rule. To evaluate the accuracy of a model-based overlay we compared model- and expert-derived aortic root diameters. RESULTS: < 0.01) correlated on a high level and the Bland-Altman analysis showed good agreement. The interobserver measurements did not show a significant bias. CONCLUSION: Automatic segmentation of the aortic root using an anatomical model can accurately predict an optimal C-arm configuration, potentially simplifying current clinical workflows before and during TAVR.
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Veulemans et al. (2016) studied this question.
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