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  • Ovid Technologies (Wolters Kluwer Health)  (2)
  • 1
    In: Circulation, Ovid Technologies (Wolters Kluwer Health), Vol. 118, No. suppl_18 ( 2008-10-28)
    Abstract: Accurate anatomical and functional assessment of AV and aortic root is crucial to understand the pathophysiology of abnormalities and management decision-making in patient with aortic valve diease and aortic aneurysm. The aim of this study was to evaluate the feasibility of novel semi-automatic assessment of AV and aortic root from volumetric 3-D Echo compared to CT. Volume-rendered 3-D TEE data were obtained using V5M transducer(Sequoia, Siemens). 6 points(commisures and valve tips) at ED and ES were identified on the 3-D TEE data. Volumetric CT images were acquired using 64-Slice CT(Avanto, Siemens). A dynamic 3-D model of the AV and root were obtained by standard mathematical modeling approach (non-uniform rational B-splines). This enabled automatic visualization and quantification of AV and root. We measured phasic change of the AVA(cm2), diameter of sinotubular junction(d-STJ, mm), sinus of Valsalva(d-SV, mm) and basal ring(d-BR, mm). 364 CT volumes from 41 patients and 23, 3-D TEE volumes from 15 patients with normal to mild AR were acquired. 3-D TEE data about AV and root showed strong correlation with CT data(table ). Figure showed representative examples of 3-D Echo and CT modeling. This novel automated 3-D Echo approach provides accurate dimensions of the AV and the aortic root and may aid in valve and root repair procedures. Comparison of AVA and aortic diameter between 3-D TEE and CT Figure 1. Top; Aortic root model, Bottom; Aortic valve model Figure 2. Automatic calculation from 3D TEE data (left; AVA, right; Aortic root diameter) Figure 3. Aortic root model segmentation (left two; 3D TEE, right two; CT)
    Type of Medium: Online Resource
    ISSN: 0009-7322 , 1524-4539
    Language: English
    Publisher: Ovid Technologies (Wolters Kluwer Health)
    Publication Date: 2008
    detail.hit.zdb_id: 1466401-X
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  • 2
    In: Circulation: Cardiovascular Imaging, Ovid Technologies (Wolters Kluwer Health), Vol. 6, No. 1 ( 2013-01), p. 99-108
    Abstract: We tested the ability of a novel automated 3-dimensional (3D) algorithm to model and quantify the aortic root from 3D transesophageal echocardiography (TEE) and computed tomographic (CT) data. Methods and Results— We compared the quantitative parameters obtained by automated modeling from 3D TEE (n=20) and CT data (n=20) to those made by 2D TEE and targeted 2D from 3D TEE and CT in patients without valve disease (normals). We also compared the automated 3D TEE measurements in severe aortic stenosis (n=14), dilated root without aortic regurgitation (n=15), and dilated root with aortic regurgitation (n=20). The automated 3D TEE sagittal annular diameter was significantly greater than the 2D TEE measurements ( P =0.004). This was also true for the 3D TEE and CT coronal annular diameters ( P 〈 0.01). The average 3D TEE and CT annular diameter was greater than both their respective 2D and 3D sagittal diameters ( P 〈 0.001). There was no significant difference in 2D and 3D measurements of the sinotubular junction and sinus of valsalva diameters ( P 〉 0.05) in normals, but these were significantly different ( P 〈 0.05) in abnormals. The 3 automated intercommissural distance and leaflet length and height did not show significant differences in the normals ( P 〉 0.05), but all 3 were significantly different compared with the abnormal group ( P 〈 0.05). The automated 3D annulus commissure coronary ostia distances in normals showed significant difference between 3D TEE and CT ( P 〈 0.05); also, these parameters by automated 3D TEE were significantly different in abnormal ( P 〈 0.05). Finally, the automated 3D measurements showed excellent reproducibility for all parameters. Conclusions— Automated quantitative 3D modeling of the aortic root from 3D TEE or CT data is technically feasible and provides unique data that may aid surgical and transcatheter interventions.
    Type of Medium: Online Resource
    ISSN: 1941-9651 , 1942-0080
    Language: English
    Publisher: Ovid Technologies (Wolters Kluwer Health)
    Publication Date: 2013
    detail.hit.zdb_id: 2440475-5
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