Semi-automatic assessMent of Aortic Roots by Three-dimensional transoEsophageal echocaRdiography (SMARTER)

Overview

The progress in surgery of the aortic root and the evolution of transcatheter aortic valve replacement as an alternative to surgical treatment in selected patients have refocused the need for quantitative imaging of the aortic root during transcatheter aortic valve replacement and valve-sparing aortic root surgery. In this study, we aim to assess the ability of semi-automated quantitative modeling (eSie Valves, Autovalve prototype version, Siemens Medical Solutions, USA) of the aortic valve and root in patients with clinical normal aortic valve and root, who are indicated for both 3D transesophageal echocardiography (TEE) and computed tomographic (CT) due to atrial fibrillation or patent foramen ovale. Measures of the aortic valve and root obtained by 2D TEE, 3D TEE and CT are compared, and the ability of the semi-automated 3D TEE modeling software is tested. Given the workflow advantages of automation, this 3D TEE approach may enhance the clinical adoption of routine 3-dimensional imaging beyond CT.

Recent developments in aortic root interventions have focused on the need for 3-dimensional imaging of the aortic functional anatomy. The progress in surgery of the aortic root and the evolution of transcatheter aortic valve replacement as an alternative to surgical treatment in selected patients have refocused the need for quantitative imaging of the aortic root during transcatheter aortic valve replacement and valve-sparing aortic root surgery. In this study, we aim to assess the ability of semi-automated quantitative modeling (eSie Valves, Autovalve prototype version, Siemens Medical Solutions, USA) of the aortic valve and root in patients with clinical normal aortic valve and root, who are indicated for both 3D transesophageal echocardiography (TEE) and computed tomographic (CT) due to atrial fibrillation or patent foramen ovale. Measures of the aortic valve and root obtained by 2D TEE, 3D TEE and CT are compared, and the ability of the semi-automated 3D TEE modeling software is tested. Given the workflow advantages of automation, this 3D TEE approach may enhance the clinical adoption of routine 3-dimensional imaging beyond CT.

Conditions