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Research ArticleBrief Communication

Optimization of 89Zr PET Imaging for Improved Multisite Quantification and Lesion Detection Using an Anthropomorphic Phantom

Paul E. Christian, Simon-Peter Williams, Lance Burrell, Paulo Castaneda, Justin Albiani, Nicholas Sandella, Andrei Iagaru, John M. Hoffman, Alex de Crespigny and Sandra Sanabria Bohorquez
Journal of Nuclear Medicine Technology March 2020, 48 (1) 54-57; DOI: https://doi.org/10.2967/jnmt.119.230474
Paul E. Christian
1Genentech, Inc., South San Francisco, California
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Simon-Peter Williams
1Genentech, Inc., South San Francisco, California
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Lance Burrell
2Center for Quantitative Cancer Imaging, Huntsman Cancer Institute, University of Utah School of Medicine, Salt Lake City, Utah
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Paulo Castaneda
3Division of Nuclear Medicine and Molecular Imaging, Department of Radiology, Stanford University, Palo Alto, California; and
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Justin Albiani
4Invicro, Boston, Massachusetts
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Nicholas Sandella
4Invicro, Boston, Massachusetts
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Andrei Iagaru
3Division of Nuclear Medicine and Molecular Imaging, Department of Radiology, Stanford University, Palo Alto, California; and
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John M. Hoffman
2Center for Quantitative Cancer Imaging, Huntsman Cancer Institute, University of Utah School of Medicine, Salt Lake City, Utah
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Alex de Crespigny
1Genentech, Inc., South San Francisco, California
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Sandra Sanabria Bohorquez
1Genentech, Inc., South San Francisco, California
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  • FIGURE 1.
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    FIGURE 1.

    Anthropomorphic chest oncology simulator with 9 internal spheric lesions. Lesion locations and size are shown at left. Phantom positioned supine in scanner is shown at right.

  • FIGURE 2.
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    FIGURE 2.

    18F reference and 89Zr maximum-intensity-projection images. The 7-mm lesion was seen only on 710 thin-slice images (not shown). Circles show areas with focal 89Zr uptake not related to lesions.

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    FIGURE 3.

    Percentage reduction of SUVpeak between 20- and 10-mm lesions.

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    FIGURE 4.

    SUVpeak RC curves for 5 harmonized scanners.

Tables

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    TABLE 1

    Optimal Reconstruction Parameters for 89Zr Oncology Imaging

    Reconstruction parameters
    ScannerAlgorithmIterationsSubsetsGaussian (mm)PSF
    DSTOSEM2214Not available
    600OSEM, 3D3167SharpIR
    690OSEM3167SharpIR
    710VPFX2247SharpIR
    mCTTrue TOF3217Not used
    • PSF = point-spread function; OSEM = ordered-subset expectation maximization; 3D = 3-dimensional; SharpIR = point-spread function correction; VPFX = GE Healthcare standard reconstruction algorithm; TOF = time of flight.

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    TABLE 2

    Lesion Visualization

    MediastinumRight lungLeft lung
    ScannerSupraclavicular (10 mm)10 mm7 mm15 mmDiaphragm (10 mm)15 mm10 mm10 mm20 mm
    DSTYesYesNoYesYesYesYesYesYes
    600YesYesNoYesNoYesYesYesYes
    690YesYesNoYesYesYesYesYesYes
    710YesYesYesYesYesYesYesYesYes
    HR+NoNoNoYesNoNoNoNoYes
    Biograph 6NoNoNoYesNoYesNoNoYes
    mCTYesYesNoYesYesYesYesYesYes
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Journal of Nuclear Medicine Technology: 48 (1)
Journal of Nuclear Medicine Technology
Vol. 48, Issue 1
March 1, 2020
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Optimization of 89Zr PET Imaging for Improved Multisite Quantification and Lesion Detection Using an Anthropomorphic Phantom
Paul E. Christian, Simon-Peter Williams, Lance Burrell, Paulo Castaneda, Justin Albiani, Nicholas Sandella, Andrei Iagaru, John M. Hoffman, Alex de Crespigny, Sandra Sanabria Bohorquez
Journal of Nuclear Medicine Technology Mar 2020, 48 (1) 54-57; DOI: 10.2967/jnmt.119.230474

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Optimization of 89Zr PET Imaging for Improved Multisite Quantification and Lesion Detection Using an Anthropomorphic Phantom
Paul E. Christian, Simon-Peter Williams, Lance Burrell, Paulo Castaneda, Justin Albiani, Nicholas Sandella, Andrei Iagaru, John M. Hoffman, Alex de Crespigny, Sandra Sanabria Bohorquez
Journal of Nuclear Medicine Technology Mar 2020, 48 (1) 54-57; DOI: 10.2967/jnmt.119.230474
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Keywords

  • Scanner harmonization
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