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Updated: Jun 5, 2025

Four-Dimensional Computed Tomography-Guided Valve Sizing for Transcatheter Pulmonary Valve Replacement
Published on: January 20, 2022
Four-dimensional Cardiac Modelling of Multiphase Computed Tomography for Predicting Outcomes After Transcatheter
Mohamad Rabbani1, Ali Fatehi Hassanabad2, Alessandro Satriano3
1Stephenson Cardiac Imaging Centre, Calgary, Alberta, Canada; Division of Cardiac Surgery, Western University, London, Ontario, Canada.
Background:
Multiphase computed tomography angiography (mpCTA) is routinely performed prior to transcatheter aortic valve replacement (TAVR) to determine eligibility and enable preprocedural planning. Incremental prognostic value may be realized from full-cycle, multiphase reconstructions to assess the contractile health of the cardiac chambers. In this study we assessed the feasibility of 4-dimensional chamber modelling of the left ventricle (LV) to support 3-dimensional minimum principal strain (3DminPS)-based predictions of clinical outcomes after TAVR.
Methods:
Two hundred five patients undergoing pre-TAVR mpCTA were studied. UNet-based 3D chamber segmentation was followed by mesh modelling and 3D feature tracking-based deformation to determine global 3DminPS for endocardial, epicardial, and transmural layers. Independent associations of 3DminPS with the primary outcome of heart failure hospitalization or death are described.
Results:
Of the 205 patients studied, 196 (96%) had analyzable mpCTAs (median age, 85 years; 55% male; Society of Thoracic Surgeons Predicted Risk of Mortality score = 3.10; 60.0% echocardiographic LV ejection fraction). At a median of 25 months after TAVR, 55 patients (28%) experienced the primary outcome. After adjustment for baseline variables, patients with an endocardial 3DminPS amplitude worse than -23.7% experienced a 2.7-fold higher risk of the outcome (adjusted hazard ratio, 2.7; 95% confidence interval, 1.4-5.1; P = 0.001), with this high-risk cohort having 1- and 3-year event rates of 32% and 49%, respectively.
Conclusions:
Four-dimensional chamber modelling of mpCTA using UNet-based segmentation and standardized mesh deformation is feasible and enables delivery of 3D deformation markers with strong prognostic value for the prediction of outcomes after TAVR. Prospective validation in a multicentre setting is currently being undertaken.
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