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Journal of Nuclear Medicine

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OtherBasic Science Investigations

Improving Influx Constant and Ratio Estimation in FDOPA Brain PET Analysis for Parkinson’s Disease

Xiao-Bo Pan, Thomas G. Wright, F. Joel Leong, Robert A. McLaughlin, Jérôme M. Declerck and Daniel H.S. Silverman
Journal of Nuclear Medicine October 2005, 46 (10) 1737-1744;
Xiao-Bo Pan
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Thomas G. Wright
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F. Joel Leong
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Robert A. McLaughlin
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Jérôme M. Declerck
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Daniel H.S. Silverman
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  • Article
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Figures

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  • FIGURE 1.
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    FIGURE 1.

    Registered images with subputamen ROIs. (A) Right striatum registered to AAL template (single axial slice; registered region highlighted). Note that a new transformation will be needed to register the left striatum. (B) Cerebellum and left striatum registered to AAL template (single sagittal slice).

  • FIGURE 2.
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    FIGURE 2.

    Average (dashed line) and maximum (solid line) translation (A) and rotation (B) over all 49 datasets against scan time.

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    FIGURE 3.

    Variations of Kic values obtained from 3-dimensional ROIs (○), ratios obtained from 3-dimensional ROIs (⋄), and Kic values obtained using 2-dimensional manual ROIs (☆).

  • FIGURE 4.
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    FIGURE 4.

    Box-and-whisker plot showing range of Kic values (A) and Rs-to-c values (B) for different striatum proportions (using 50% of cerebellum voxels). Boxes indicate lower and upper quartiles and median.

  • FIGURE 5.
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    FIGURE 5.

    Correlation (r2) between Rs-to-c values and Kic values: both plots show the same 8 regions of all 49 cases (caudate as crosses, putamen regions as dots), with the best-fit lines relating the static and dynamic values in (A) shown for each region separately (caudate dashed, putamen solid); (B) shows the same data except that the best-fit lines are computed for left and right caudate regions together (dashed) and all 6 putamen regions (left and right) combined (solid).

  • FIGURE 6.
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    FIGURE 6.

    Variation in correlation between Patlak and static analysis values with different proportions of voxels from cerebellum and striatum.

Tables

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    TABLE 1

    Average Percentage Variation in Influx Constant and Ratio Values Across All 8 Values of All 49 Cases with Varying Cerebellum ROI Position

    DirectionShift (mm)
    ±2±4±6
    KicRs-to-cKicRs-to-cKicRs-to-c
    L-R0.150.130.320.260.520.43
    A-P0.290.420.610.790.971.11
    S-I0.630.801.531.923.03.43
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    TABLE 2

    Average Percentage Variation in Influx Constant and Ratio Values Across All 8 Values of All 49 Cases with Varying Striatum ROI Position

    DirectionShift (mm)
    ±2±4
    KicRs-to-cKicRs-to-c
    L-R4.73.010.36.8
    A-P2.22.05.64.0
    S-I2.11.04.42.5
    • View popup
    TABLE 3

    Correlation (r2) Obtained for Each ROI Separately Using 25% of the Brightest Voxels from the Cerebellum and 40% of the Brightest Voxels from Each Striatal Region (All with P < 0.0001)

    RegionLeftRight
    Caudate0.830.88
    Putamen (rostral)0.950.95
    Putamen (mid)0.950.96
    Putamen (caudal)0.910.92
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Journal of Nuclear Medicine: 46 (10)
Journal of Nuclear Medicine
Vol. 46, Issue 10
October 1, 2005
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Improving Influx Constant and Ratio Estimation in FDOPA Brain PET Analysis for Parkinson’s Disease
Xiao-Bo Pan, Thomas G. Wright, F. Joel Leong, Robert A. McLaughlin, Jérôme M. Declerck, Daniel H.S. Silverman
Journal of Nuclear Medicine Oct 2005, 46 (10) 1737-1744;

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Improving Influx Constant and Ratio Estimation in FDOPA Brain PET Analysis for Parkinson’s Disease
Xiao-Bo Pan, Thomas G. Wright, F. Joel Leong, Robert A. McLaughlin, Jérôme M. Declerck, Daniel H.S. Silverman
Journal of Nuclear Medicine Oct 2005, 46 (10) 1737-1744;
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  • Article
    • Abstract
    • Kinetic Modeling of FDOPA
    • Patlak Graphical Analysis
    • Static Ratio Analysis
    • MATERIALS AND METHODS
    • RESULTS
    • DISCUSSION
    • CONCLUSION
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  • Figures & Data
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