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OtherClinical Investigations

11C-DTBZ and 18F-FDG PET Measures in Differentiating Dementias

Robert A. Koeppe, Sid Gilman, Aniket Joshi, Suyu Liu, Roderick Little, Larry Junck, Mary Heumann, Kirk A. Frey and Roger L. Albin
Journal of Nuclear Medicine June 2005, 46 (6) 936-944;
Robert A. Koeppe
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Sid Gilman
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Aniket Joshi
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Suyu Liu
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Roderick Little
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Larry Junck
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Mary Heumann
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Kirk A. Frey
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Roger L. Albin
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  • FIGURE 1.
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    FIGURE 1.

    11C-DTBZ K1 and 18F-FDG images at 3 brain levels for one representative subject from each group. All images are normalized to cerebellar vermis.

  • FIGURE 2.
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    FIGURE 2.

    Group average deficits of 11C-DTBZ K1 (solid bars) and 18F-FDG (hatched bars) relative to NC for 22 cortical regions. Shown are mean and SD for FTD (A; n = 7), AD (B; n = 25), and DLB (C; n = 20) expressed as a percentage of NC (n = 19) mean. All values are normalized to cerebellar vermis.

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    FIGURE 3.

    Correlations between 18F-FDG and 11C-DTBZ K1 across 22 cortical regions for selected individuals from each diagnostic group. Both 18F-FDG and K1 values are normalized to cerebellar vermis. The subject selected from each group was the individual having a correlation coefficient closest to the group average (Table 1, column 2). Correlation coefficients are 0.953, 0.945, 0.919, and 0.887 for the selected FTD (A), AD (B), DLB (C), and NC (D) subjects, respectively.

  • FIGURE 4.
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    FIGURE 4.

    Discrepancies between clinical and PET diagnoses. Shown are 11C-DTBZ K1, 18F-FDG, and 11C-DTBZ DV images at 3 brain levels for 2 subjects whose clinical diagnosis at time of PET was different than classifications by both logistic regression and all physician ratings. Clinical diagnosis at time of scan is given first, followed by PET classification in brackets.

Tables

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    TABLE 1

    Within-Subject Correlations Across 22 Cortical Regions

    Groupn18F-FDG vs. 11C-DTBZ K118F-FDG vs. 11C-DTBZ DV11C-DTBZ K1 vs. 11C-DTBZ DV
    FTD70.947 ± 0.0240.08 ± 0.220.20 ± 0.24
    AD250.944 ± 0.0380.28 ± 0.300.34 ± 0.29
    DLB200.922 ± 0.0370.49 ± 0.220.51 ± 0.22
    NC190.893 ± 0.0420.23 ± 0.280.34 ± 0.26
    All710.924 ± 0.0430.31 ± 0.270.37 ± 0.26
    • Values are mean ± SD of Pearson correlation coefficients (r) for each group.

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    TABLE 2

    Between-Subject Correlations Across 22 Cortical Regions

    CorrelationCorrelation parameterMean ± SD
    Same-parameter18F-FDG vs. 18F-FDG0.61 ± 0.22
    Same-parameter11C-DTBZ K1 vs. 11C-DTBZ K10.59 ± 0.23
        Between-parameters18F-FDG vs. 11C-DTBZ K10.58 ± 0.22
    Same-parameter11C-DTBZ DV vs. 11C-DTBZ DV0.29 ± 0.41
        Between-parameters11C-DTBZ DV vs. 18F-FDG0.03 ± 0.32
        Between-parameters11C-DTBZ DV vs. 11C-DTBZ K10.06 ± 0.32
    • Values are mean ± SD of Pearson correlation coefficients (r) for all possible between-subject combinations (71!/[69! × 2!] for same-parameter correlations; 71!/69! for between-parameter correlations).

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    TABLE 3

    Classification by Logistic Regression

    ClassificationPET parameterDiscriminating variable*Odds ratio†P value‡Sensitivity§ (%)Specificity§ (%)
    FTD/AD/DLB vs. NCK1BA40 K10.81<0.000190.484.2
    18F-FDGBA40 18F-FDG0.720.000592.378.9
    K1+DV‖BA40 K10.810.000288.584.2
    DV0.990.396
    18F-FDG+DVBA40 18F-FDG0.720.001290.478.9
    DV1.000.881
    AD/DLB vs. FTDK1BA24–BA31 K11.130.011673.357.1
    18F-FDGBA24–BA31 18F-FDG1.140.008777.871.4
    K1+DVBA24–BA31 K11.140.032073.357.1
    DV0.990.286
    18F-FDG+DVBA24–BA31 18F-FDG1.120.028268.957.1
    DV0.990.345
    DLB vs. ADK1BA24–BA17 K11.120.000770.076.0
    18F-FDGBA24–BA17 18F-FDG1.280.002085.084.0
    K1+DVBA24–BA17 K11.150.31190.096.0
    DV0.840.178
    18F-FDG+DVBA24–BA17 18F-FDG1.040.73790.096.0
    DV0.830.159
    • ↵* BA(s) that provided best discrimination for each given test.

    • ↵† An increase of 0.01 in the discriminating variable multiplies the odds of being in the first of the 2 comparison groups by this factor. A value of 1.0 corresponds to lack of discrimination. The magnitude of deviation from 1.0 is a measure of the ability of variable to discriminate the 2 groups.

    • ↵‡ P value for a test of null hypothesis that odds ratio of the discriminating variable is 1.0.

    • ↵§ Sensitivity and specificity are based on cross-validation—that is, when each case is classified, logistic regression is recomputed with that case excluded.

    • ↵‖ DV is bilateral average of 11C-DTBZ VMAT2 binding measures in putamen.

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Journal of Nuclear Medicine: 46 (6)
Journal of Nuclear Medicine
Vol. 46, Issue 6
June 1, 2005
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11C-DTBZ and 18F-FDG PET Measures in Differentiating Dementias
Robert A. Koeppe, Sid Gilman, Aniket Joshi, Suyu Liu, Roderick Little, Larry Junck, Mary Heumann, Kirk A. Frey, Roger L. Albin
Journal of Nuclear Medicine Jun 2005, 46 (6) 936-944;

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11C-DTBZ and 18F-FDG PET Measures in Differentiating Dementias
Robert A. Koeppe, Sid Gilman, Aniket Joshi, Suyu Liu, Roderick Little, Larry Junck, Mary Heumann, Kirk A. Frey, Roger L. Albin
Journal of Nuclear Medicine Jun 2005, 46 (6) 936-944;
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