title: Automated assessment of the aortic root dimensions with multidetector row computed tomography.
abstract: BACKGROUND
  Accurate aortic root measurements and evaluation of spatial relationships with coronary ostia are crucial in preoperative transcatheter aortic valve implantation assessments. Standardization of measurements may increase intraobserver and interobserver reproducibility to promote procedural success rate and reduce the frequency of procedurally related complications. This study evaluated the accuracy and reproducibility of a novel automated multidetector row computed tomography (MDCT) imaging postprocessing software, 3mensio Valves (version 4.1.sp1, Medical Imaging BV, Bilthoven, The Netherlands), in the assessment of patients with severe aortic stenosis candidates for transcatheter aortic valve implantation.
  
  
  METHODS
  Ninety patients with aortic valve disease were evaluated with 64-row and 320-row MDCT. Aortic valve annular size, aortic root dimensions, and height of the coronary ostia relative to the aortic valve annular plane were measured with the 3mensio Valves software. The measurements were compared with those obtained manually by the Vitrea2 software (Vital Images, Minneapolis, MN).
  
  
  RESULTS
  Assessment of aortic valve annulus and aortic root dimensions were feasible in all the patients using the automated 3mensio Valves software. There were excellent agreements with minimal bias between automated and manual MDCT measurements as demonstrated by Bland-Altman analysis and intraclass correlation coefficients ranging from 0.97 to 0.99. The automated 3mensio Valves software had better interobserver reproducibility and required less image postprocessing time than manual assessment.
  
  
  CONCLUSIONS
  Novel automated MDCT postprocessing imaging software (3mensio Valves) permits reliable, reproducible, and automated assessments of the aortic root dimensions and spatial relations with the surrounding structures. This has important clinical implications for preoperative assessments of patients undergoing transcatheter aortic valve implantation.
authors.affiliation: Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands.
authors.forename: Victoria
authors.initials: V
authors.lastname: Delgado
authors.forename: Arnold C T
authors.initials: AC
authors.lastname: Ng
authors.forename: Joanne D
authors.initials: JD
authors.lastname: Schuijf
authors.forename: Frank
authors.initials: F
authors.lastname: van der Kley
authors.forename: Miriam
authors.initials: M
authors.lastname: Shanks
authors.forename: Laurens F
authors.initials: LF
authors.lastname: Tops
authors.forename: Nico R L
authors.initials: NR
authors.lastname: van de Veire
authors.forename: Albert
authors.initials: A
authors.lastname: de Roos
authors.forename: Lucia J M
authors.initials: LJ
authors.lastname: Kroft
authors.forename: Martin J
authors.initials: MJ
authors.lastname: Schalij
authors.forename: Jeroen J
authors.initials: JJ
authors.lastname: Bax
mesh_terms: D000368:Aged; D001021:Aortic Valve / Q000000981:diagnostic imaging*; D005260:Female; D005500:Follow-Up Studies; D006349:Heart Valve Diseases / Q000000981:diagnostic imaging*; D006801:Humans; D008297:Male; D011446:Prospective Studies; D012372:ROC Curve; D015203:Reproducibility of Results; D012720:Severity of Illness Index; D012984:Software; D014057:Tomography, X-Ray Computed / Q000379:methods*