Research ArticleClinical Investigations

Partial-Volume Effect Correction Improves Quantitative Analysis of 18F-Florbetaben β-Amyloid PET Scans

Michael Rullmann, Juergen Dukart, Karl-Titus Hoffmann, Julia Luthardt, Solveig Tiepolt, Marianne Patt, Hermann-Josef Gertz, Matthias L. Schroeter, John Seibyl, Walter J. Schulz-Schaeffer, Osama Sabri and Henryk Barthel
Journal of Nuclear Medicine February 2016, 57 (2) 198-203; DOI: https://doi.org/10.2967/jnumed.115.161893

Article Figures & Data

Figures

  • FIGURE 1.
    FIGURE 1.

    Workflow chart of processing pipeline. PET and MRI data were provided as input to PVELab. Main output of PVELab was PVE-corrected data, which were masked by corresponding gray matter. PVELab additionally generated gray matter tissue probability map (TPMGM), which was used to mask uncorrected PET data. To interpret gray matter–masked PET data (GM-PET) and PVEC GM-PET data, hand-drawn VOIs were used for cohorts 1 and 2 and anatomic automatic-labeling (AAL) VOIs for cohort 3.

  • FIGURE 2.
    FIGURE 2.

    PVEC-related changes in differential regional and composite SUVR in AD patients and HCs. Groups were compared using Student t test.

  • FIGURE 3.
    FIGURE 3.

    Correlation between PVEC-related SUVR change in mesial temporal cortex (mean of left and right) and degree of mesial temporal lobe atrophy as scored by Scheltens scale.

  • FIGURE 4.
    FIGURE 4.

    Correlation between PVEC-related composite SUVR change and relative volume of gray matter in composite regions.

  • FIGURE 5.
    FIGURE 5.

    T1-weighted magnetization-prepared rapid-acquisition gradient echo MRI data (left), gray matter–masked 18F-florbetaben PET data (middle), and PVE-corrected gray matter 18F-florbetaben PET data (right) of 2 AD patients with different degrees of mesial temporal lobe atrophy as scored by Scheltens scale. Tracer uptake increase by PVEC was higher in more atrophic brain than in less atrophic brain. GM = gray matter; MTLA = mesial temporal lobe atrophy.

  • FIGURE 6.
    FIGURE 6.

    Influence of PVEC on correlation between SUVRs in mesial temporal cortex and histopathology score. Aβ− = Aβ-negative; Aβ+ = Aβ-positive.

  • FIGURE 7.
    FIGURE 7.

    Influence of PVEC on composite SUVRs over time. Aβ− = Aβ-negative; Aβ+ = Aβ-positive.

Tables

  • TABLE 1

    Spatial Resolutions of the Different PET Scanners Used on Cohort 2

    ScannerManufacturerTransaxialAxial
    Discovery LSGE Healthcare5.27.5
    Discovery STGE Healthcare6.75.8
    AllegroPhilips Healthcare5.76.7
    SET-2400WShimadzu5.06.7
    Biograph 2Siemens Healthcare7.17.0
    Biograph 16Siemens Healthcare4.85.5
    ECAT Exact HR+Siemens Healthcare5.45.3
    Sensation 16Siemens Healthcare6.87.1

    • Data are full width at half maximum at 10 cm according to National Electrical Manufacturers Association NU 2-2001 standards as implemented in PVEC approach used in this study.

  • TABLE 2

    Influence of PVEC on 18F-Florbetaben SUVR Discrimination Between AD Patients and HCs in Cohort 1

    Before PVECAfter PVEC
    ROIADHCPCohen dADHCPCohen d
    Frontal cortex*1.46 ± 0.221.13 ± 0.220.0041.481.85 ± 0.401.15 ± 0.280.00032.02
    Parietal cortex*1.45 ± 0.151.31 ± 0.150.0360.771.84 ± 0.341.40 ± 0.200.0021.59
    Mesial temporal cortex*1.24 ± 0.111.23 ± 0.150.930.041.39 ± 0.131.25 ± 0.150.031.04
    Composite1.55 ± 0.181.27 ± 0.160.0011.681.92 ± 0.361.34 ± 0.190.00032.00

    • ↵* Mean of left and right.

    • Data are mean ± SD SUVR.

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