Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
| Name | Class |
|---|---|
| Siemens Corporation, Corporate Technology | INDUSTRY |
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
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.
Not provided
Not provided
Not provided
Not provided
Not provided
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Three-dimensional transoesophageal echocardiography | Procedure | Three-dimensional transoesophageal echocardiography, analysed by eSie valve software (Siemens) | ||
| Computed tomography | Procedure | Computed tomography, analysed by Synovia Workstation (Siemens) |
| Measure | Description | Time Frame |
|---|---|---|
| Accuracy | Compare semi-automatic assessment of 3D TEE to CT measurement | Through study completion, an average of 1 month |
| Measure | Description | Time Frame |
|---|---|---|
| Cost | Compare cost between 3D TEE and CT | Through study completion, an average of 1 month |
| Labor time | Compare labor time between 3D TEE and CT |
Not provided
Inclusion Criteria:
Exclusion Criteria:
Not provided
Not provided
Patients with clinical normal aortic valve and root, who are indicated for both transesophageal echocardiography (TEE) and computed tomographic (CT) due to atrial fibrillation or patent foramen ovale.
Not provided
| Name | Affiliation | Role |
|---|---|---|
| Hao Wang, M.D. | Chinese Academy of Medical Sciences, Fuwai Hospital | Study Chair |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Fuwai Hospital | Beijing | Beijing Municipality | 100037 | China |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 26320167 | Background | Garcia-Martin A, Lazaro-Rivera C, Fernandez-Golfin C, Salido-Tahoces L, Moya-Mur JL, Jimenez-Nacher JJ, Casas-Rojo E, Aquila I, Gonzalez-Gomez A, Hernandez-Antolin R, Zamorano JL. Accuracy and reproducibility of novel echocardiographic three-dimensional automated software for the assessment of the aortic root in candidates for thanscatheter aortic valve replacement. Eur Heart J Cardiovasc Imaging. 2016 Jul;17(7):772-8. doi: 10.1093/ehjci/jev204. Epub 2015 Aug 27. | |
| 23233743 |
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
| ID | Term |
|---|---|
| D000082862 | Aortic Valve Disease |
| ID | Term |
|---|---|
| D006349 | Heart Valve Diseases |
| D006331 | Heart Diseases |
| D002318 | Cardiovascular Diseases |
Not provided
Not provided
Not provided
Not provided
Not provided
| Through study completion, an average of 1 month |
| Background |
| Calleja A, Thavendiranathan P, Ionasec RI, Houle H, Liu S, Voigt I, Sai Sudhakar C, Crestanello J, Ryan T, Vannan MA. Automated quantitative 3-dimensional modeling of the aortic valve and root by 3-dimensional transesophageal echocardiography in normals, aortic regurgitation, and aortic stenosis: comparison to computed tomography in normals and clinical implications. Circ Cardiovasc Imaging. 2013 Jan 1;6(1):99-108. doi: 10.1161/CIRCIMAGING.112.976993. Epub 2012 Dec 10. |
| 26977308 | Background | Chambers JB, Myerson SG, Rajani R, Morgan-Hughes GJ, Dweck MR. Multimodality imaging in heart valve disease. Open Heart. 2016 Mar 8;3(1):e000330. doi: 10.1136/openhrt-2015-000330. eCollection 2016. |
| 25772834 | Background | Hahn RT, Little SH, Monaghan MJ, Kodali SK, Williams M, Leon MB, Gillam LD. Recommendations for comprehensive intraprocedural echocardiographic imaging during TAVR. JACC Cardiovasc Imaging. 2015 Mar;8(3):261-287. doi: 10.1016/j.jcmg.2014.12.014. |
| 31297671 | Derived | Zhang M, Wan L, Liu K, Wu W, Li H, Wang Y, Lu B, Wang H. Aortic roots assessment by an automated three-dimensional transesophageal echocardiography: an intra-individual comparison. Int J Cardiovasc Imaging. 2019 Nov;35(11):2029-2036. doi: 10.1007/s10554-019-01664-z. Epub 2019 Jul 11. |