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Research ArticleClinical Investigations

Determination of Accuracy and Precision of Lesion Uptake Measurements in Human Subjects with Time-of-Flight PET

Margaret E. Daube-Witherspoon, Suleman Surti, Amy E. Perkins and Joel S. Karp
Journal of Nuclear Medicine April 2014, 55 (4) 602-607; DOI: https://doi.org/10.2967/jnumed.113.127035
Margaret E. Daube-Witherspoon
1Department of Radiology, School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania; and
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Suleman Surti
1Department of Radiology, School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania; and
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Amy E. Perkins
2Philips Healthcare, Cleveland, Ohio
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Joel S. Karp
1Department of Radiology, School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania; and
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  • FIGURE 1.
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    FIGURE 1.

    Schematic of sphere insertion process for list-mode data. Sphere activity to insert (Ai) depends on desired activity ratio (ao) with respect to average whole-body (WB) uptake per unit volume (BWB), reduced by activity already present in patient image at location of sphere (Ab,i). Sphere-in-air data were acquired at known locations on grid (photograph). Sphere data were reconstructed, and ratio of sphere-in-air list-mode events to total sphere image activity (Embedded Image) was used to scale Ai to determine number of list-mode events (Embedded Image) that would generate that activity. These list-mode events were reduced by sampling of probability of attenuation by body for line of response of given event and then were merged with subject’s list-mode data (⊕). This procedure was adapted from that used in earlier lesion detectability studies (16,17).

  • FIGURE 2.
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    FIGURE 2.

    Sphere NUV [Embedded Image] for 1 replicate in 1 subject as function of image noise for each of 6 spheres inserted in lung (A) and liver (B), demonstrating typical variations seen across locations and organs. Solid symbols indicate TOF reconstruction; open symbols indicate non-TOF reconstruction. Each curve represents 1 sphere; data points correspond to each of 20 iterations used.

  • FIGURE 3.
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    FIGURE 3.

    Average NUV across all 6 spheres [Embedded Image] in given organ for each of 6 subjects as function of image noise in lung (A) and liver (B). Solid symbols indicate TOF reconstruction; open symbols indicate non-TOF reconstruction. Each curve represents 1 subject; data points correspond to each of 20 iterations used.

  • FIGURE 4.
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    FIGURE 4.

    Variability measures for TOF (left) and non-TOF (right) reconstructions of spheres in lung (A and B) and liver (C and D). Variabilities across replicates (Embedded Image), across sphere locations within organ (Embedded Image), and across spheres and subjects (Embedded Image) are shown as function of iteration. Vertical lines at 5 TOF iterations (6 non-TOF iterations) indicate points (with similar image noise) at which reconstructions were stopped for subsequent analysis.

  • FIGURE 5.
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    FIGURE 5.

    Average uptake and variability at fixed number of iterations and corresponding image noise (5 TOF iterations; 6 non-TOF iterations). (A) Sphere uptake (Embedded Image) in lung and liver, averaged across all spheres in all subjects. (B) Variability of NUV measurements across replicates (Repl.) (Embedded Image), across sphere locations (Loc.) (Embedded Image), and across subjects (Subj.) (Embedded Image) for spheres inserted in lung and liver.

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Journal of Nuclear Medicine: 55 (4)
Journal of Nuclear Medicine
Vol. 55, Issue 4
April 1, 2014
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Determination of Accuracy and Precision of Lesion Uptake Measurements in Human Subjects with Time-of-Flight PET
Margaret E. Daube-Witherspoon, Suleman Surti, Amy E. Perkins, Joel S. Karp
Journal of Nuclear Medicine Apr 2014, 55 (4) 602-607; DOI: 10.2967/jnumed.113.127035

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Determination of Accuracy and Precision of Lesion Uptake Measurements in Human Subjects with Time-of-Flight PET
Margaret E. Daube-Witherspoon, Suleman Surti, Amy E. Perkins, Joel S. Karp
Journal of Nuclear Medicine Apr 2014, 55 (4) 602-607; DOI: 10.2967/jnumed.113.127035
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Keywords

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