Usefulness of three-dimensional automated quantification of left ventricular mass, volume, and function by 64-slice computed tomography

Takuhiro Okuyama, Shoichi Ehara, Nobuyuki Shirai, Kenichi Sugioka, Keitaro Ogawa, Hiroki Oe, Hitoe Kitamura, Toshihide Itoh, Katharina Otani, Toshiyuki Matsuoka, Yuichi Inoue, Makiko Ueda, Takeshi Hozumi, Minoru Yoshiyama

Research output: Contribution to journalArticle

10 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)276-284
Number of pages9
JournalJournal of Cardiology
Volume52
Issue number3
DOIs
Publication statusPublished - Dec 2008
Externally publishedYes

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Tomography
Left Ventricular Function
Multidetector Computed Tomography
Coronary Stenosis
Coronary Vessels
Electrocardiography
Thorax
Population

Keywords

  • Cardiac function
  • Computed tomography
  • Left ventricle
  • Left ventricular mass

ASJC Scopus subject areas

  • Cardiology and Cardiovascular Medicine

Cite this

Usefulness of three-dimensional automated quantification of left ventricular mass, volume, and function by 64-slice computed tomography. / Okuyama, Takuhiro; Ehara, Shoichi; Shirai, Nobuyuki; Sugioka, Kenichi; Ogawa, Keitaro; Oe, Hiroki; Kitamura, Hitoe; Itoh, Toshihide; Otani, Katharina; Matsuoka, Toshiyuki; Inoue, Yuichi; Ueda, Makiko; Hozumi, Takeshi; Yoshiyama, Minoru.

In: Journal of Cardiology, Vol. 52, No. 3, 12.2008, p. 276-284.

Research output: Contribution to journalArticle

Okuyama, T, Ehara, S, Shirai, N, Sugioka, K, Ogawa, K, Oe, H, Kitamura, H, Itoh, T, Otani, K, Matsuoka, T, Inoue, Y, Ueda, M, Hozumi, T & Yoshiyama, M 2008, 'Usefulness of three-dimensional automated quantification of left ventricular mass, volume, and function by 64-slice computed tomography', Journal of Cardiology, vol. 52, no. 3, pp. 276-284. https://doi.org/10.1016/j.jjcc.2008.07.021
Okuyama, Takuhiro ; Ehara, Shoichi ; Shirai, Nobuyuki ; Sugioka, Kenichi ; Ogawa, Keitaro ; Oe, Hiroki ; Kitamura, Hitoe ; Itoh, Toshihide ; Otani, Katharina ; Matsuoka, Toshiyuki ; Inoue, Yuichi ; Ueda, Makiko ; Hozumi, Takeshi ; Yoshiyama, Minoru. / Usefulness of three-dimensional automated quantification of left ventricular mass, volume, and function by 64-slice computed tomography. In: Journal of Cardiology. 2008 ; Vol. 52, No. 3. pp. 276-284.
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abstract = "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.",
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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

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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

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