title: Usefulness of three-dimensional automated quantification of left ventricular mass, volume, and function by 64-slice computed tomography.
abstract: OBJECTIVE
  Quantification of left ventricular (LV) mass has important prognostic implications. However, accurate measurement of LV mass has been difficult, in part because of the oblique angle at which the heart lies within the chest and the continuous movement of the heart itself. Multislice computed tomography (MSCT) allows assessment not only of coronary stenosis but LV volume, function, and mass. A novel three-dimensional (3D) region-growing-based semi-automated segmentation algorithm for measurements of LV mass, volume, and function was recently developed. This study evaluated this new 3D automated method for measurement of LV mass, by comparison with a well-established 2D manual contour-drawing algorithm.
  
  
  RESULTS
  The study population consisted of 50 consecutive patients who underwent ECG-gated MSCT for evaluation of coronary arteries. The 3D algorithm for reliable segmentation was unsuccessful in two patients. In the remaining 48 patients, however, LV segmentation using this algorithm was performed and delivered visually reliable segmentation results. The 3D algorithm for analysis of LV function and mass is feasible based on volumetric data, and exhibits good correlation and agreement with the results obtained with the conventional 2D algorithm. The time required for the new automated algorithm was significantly shorter than that for the manual contour-drawing algorithm (P<0.0001) (automated algorithm: 468.0±205.1 s, manual algorithm: 1362.4±410.5 s, mean ±S.D.).
  
  
  CONCLUSIONS
  The 3D semi-automated region-growing segmentation algorithm for analysis of LV function and mass is feasible based on volumetric data, and exhibits good correlations and agreement with the results of the conventional 2D manual contour-drawing algorithm.
authors.affiliation: Department of Internal Medicine and Cardiology, Osaka City University Graduate School of Medicine, Osaka, Japan.
authors.forename: Takuhiro
authors.initials: T
authors.lastname: Okuyama
authors.forename: Shoichi
authors.initials: S
authors.lastname: Ehara
authors.forename: Nobuyuki
authors.initials: N
authors.lastname: Shirai
authors.forename: Kenichi
authors.initials: K
authors.lastname: Sugioka
authors.forename: Keitaro
authors.initials: K
authors.lastname: Ogawa
authors.forename: Hiroki
authors.initials: H
authors.lastname: Oe
authors.forename: Hitoe
authors.initials: H
authors.lastname: Kitamura
authors.forename: Toshihide
authors.initials: T
authors.lastname: Itoh
authors.forename: Katharina
authors.initials: K
authors.lastname: Otani
authors.forename: Toshiyuki
authors.initials: T
authors.lastname: Matsuoka
authors.forename: Yuichi
authors.initials: Y
authors.lastname: Inoue
authors.forename: Makiko
authors.initials: M
authors.lastname: Ueda
authors.forename: Takeshi
authors.initials: T
authors.lastname: Hozumi
authors.forename: Minoru
authors.initials: M
authors.lastname: Yoshiyama
mesh_terms: D000465:Algorithms; D005260:Female; D006352:Heart Ventricles / Q000033:anatomy & histology* / Q000000981:diagnostic imaging; D006801:Humans; D021621:Imaging, Three-Dimensional; D008297:Male; D008875:Middle Aged; D015588:Observer Variation; D009929:Organ Size; D014057:Tomography, X-Ray Computed; D016276:Ventricular Function