title: 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.
abstract: BACKGROUND
  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.
  
  
  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.
authors.affiliation: The Department of Medicine, Division of Cardiology, The Ohio State University, Columbus, OH, USA.
authors.forename: Anna
authors.initials: A
authors.lastname: Calleja
authors.forename: Paaladinesh
authors.initials: P
authors.lastname: Thavendiranathan
authors.forename: Razvan Ioan
authors.initials: RI
authors.lastname: Ionasec
authors.forename: Helene
authors.initials: H
authors.lastname: Houle
authors.forename: Shizhen
authors.initials: S
authors.lastname: Liu
authors.forename: Ingmar
authors.initials: I
authors.lastname: Voigt
authors.forename: Chittoor
authors.initials: C
authors.lastname: Sai Sudhakar
authors.forename: Juan
authors.initials: J
authors.lastname: Crestanello
authors.forename: Thomas
authors.initials: T
authors.lastname: Ryan
authors.forename: Mani A
authors.initials: MA
authors.lastname: Vannan
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D001013:Aorta, Thoracic / Q000000981:diagnostic imaging; D001021:Aortic Valve / Q000000981:diagnostic imaging / Q000601:surgery*; D001022:Aortic Valve Insufficiency / Q000175:diagnosis* / Q000601:surgery; D001024:Aortic Valve Stenosis / Q000175:diagnosis* / Q000601:surgery; D019560:Echocardiography, Three-Dimensional / Q000379:methods*; D017548:Echocardiography, Transesophageal / Q000379:methods*; D005260:Female; D006350:Heart Valve Prosthesis; D006801:Humans; D008297:Male; D008875:Middle Aged; D015203:Reproducibility of Results; D012720:Severity of Illness Index; D014057:Tomography, X-Ray Computed / Q000379:methods*