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Journal of Nuclear Medicine

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OtherClinical Investigations

18F-FDG PET for Detecting Myocardial Viability: Validation of 3D Data Acquisition

Claudia Brogsitter, Thomas Grüning, Reiner Weise, Peter Wielepp, Oliver Lindner, Reiner Körfer and Wolfgang Burchert
Journal of Nuclear Medicine January 2005, 46 (1) 19-24;
Claudia Brogsitter
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Thomas Grüning
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Reiner Weise
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Peter Wielepp
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Oliver Lindner
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Reiner Körfer
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Wolfgang Burchert
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  • FIGURE 1.
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    FIGURE 1.

    Absolute activity concentration (Bq/mL) measured in each segment with 2D-G (A), 3D-10 (B), and 3D-5 (C) protocols, compared with 2D-NG acquisition. Each dot represents 1 segment, and a different color represents each of the 21 patients. Corresponding residual plots are in left upper corners. Values for slope of curve and Pearson correlation coefficient were, respectively, 1.04 and 0.98 for 2D-G, 0.97 and 0.97 for 3D-10, and 0.97 and 0.96 for 3D-5.

  • FIGURE 2.
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    FIGURE 2.

    Relative activity concentration in each segment with 2D-G (A), 3D-10 (B), and 3D-5 (C) protocols, compared with 2D-NG acquisition. Segment with maximum absolute activity concentration in each patient equals 100%. Each dot represents 1 segment, and a different color represents each of the 20 patients. One patient with hibernating myocardium confirmed by 13NH3 PET was excluded.

  • FIGURE 3.
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    FIGURE 3.

    Regional variation of absolute activity concentration in each of 20 segments measured with 2D-NG, 2D-G, 3D-10, and 3D-5 protocols. Polar maps are shown for each protocol, and absolute activity concentrations (Bq/mL) have been plotted for each segment. Two representative patients (A and B) are shown.

  • FIGURE 4.
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    FIGURE 4.

    Mean regional activity distribution in all 20 segments measured with 2D-G (A), 3D-10 (B), and 3D-5 (C) protocols, expressed as a ratio to 2D-NG values.

  • FIGURE 5.
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    FIGURE 5.

    (A) Comparison of LVEF measured with 2D-G, 3D-10, and 3D-5 protocols. (B) Corresponding Bland–Altman plot. Slope of curve, {2D,3D} intercept, and Pearson correlation coefficient were 1.02, {0.4,-0.4}, and 0.96, respectively, for 3D-10 and 0.91, {-1.3,1.2}, and 0.96, respectively, for 3D-5.

Tables

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    TABLE 1

    Count Statistics for 2D and 3D Acquisitions

    Parameter2D acquisition3D acquisition
    True coincidences(19.6 ± 4.98) × 103 s−1(164 ± 34.9) × 103 s−1
    Random coincidences(6.36 ± 2.65) × 103 s−1(124 ± 48.8) × 103 s−1
    True-to-random ratio3.261.40
    Single events(2.08 ± 0.57) × 106 s−1(6.33 ± 1.07) × 106 s−1
    Dead time5%15%
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    TABLE 2

    Number of Segments Showing Viable Myocardium, Nontransmural Scarring, and Transmural Scarring, as Measured with 2D-NG, 2D-G, 3D-10, and 3D-5

    Acquisition typeViable myocardiumNontransmural scarringTransmural scarring
    2D-NG16114554
    2D-G14915556
    3D-1016514550
    3D-514416452
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Journal of Nuclear Medicine: 46 (1)
Journal of Nuclear Medicine
Vol. 46, Issue 1
January 1, 2005
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18F-FDG PET for Detecting Myocardial Viability: Validation of 3D Data Acquisition
Claudia Brogsitter, Thomas Grüning, Reiner Weise, Peter Wielepp, Oliver Lindner, Reiner Körfer, Wolfgang Burchert
Journal of Nuclear Medicine Jan 2005, 46 (1) 19-24;

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18F-FDG PET for Detecting Myocardial Viability: Validation of 3D Data Acquisition
Claudia Brogsitter, Thomas Grüning, Reiner Weise, Peter Wielepp, Oliver Lindner, Reiner Körfer, Wolfgang Burchert
Journal of Nuclear Medicine Jan 2005, 46 (1) 19-24;
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