TY - JOUR
T1 - Usefulness of three-dimensional automated quantification of left ventricular mass, volume, and function by 64-slice computed tomography
AU - Okuyama, Takuhiro
AU - Ehara, Shoichi
AU - Shirai, Nobuyuki
AU - Sugioka, Kenichi
AU - Ogawa, Keitaro
AU - Oe, Hiroki
AU - Kitamura, Hitoe
AU - Itoh, Toshihide
AU - Otani, Katharina
AU - Matsuoka, Toshiyuki
AU - Inoue, Yuichi
AU - Ueda, Makiko
AU - Hozumi, Takeshi
AU - Yoshiyama, Minoru
N1 - Copyright:
Copyright 2011 Elsevier B.V., All rights reserved.
PY - 2008/12
Y1 - 2008/12
N2 - Objectives: 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. Methods and 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.
AB - Objectives: 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. Methods and 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.
KW - Cardiac function
KW - Computed tomography
KW - Left ventricle
KW - Left ventricular mass
UR - http://www.scopus.com/inward/record.url?scp=56249112326&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=56249112326&partnerID=8YFLogxK
U2 - 10.1016/j.jjcc.2008.07.021
DO - 10.1016/j.jjcc.2008.07.021
M3 - Article
C2 - 19027607
AN - SCOPUS:56249112326
VL - 52
SP - 276
EP - 284
JO - Journal of Cardiology
JF - Journal of Cardiology
SN - 0914-5087
IS - 3
ER -