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Research ArticleCLINICAL INVESTIGATIONS

Parametric Images of Blood Flow in Oncology PET Studies Using [15O]Water

Martin A. Lodge, Richard E. Carson, Jorge A. Carrasquillo, Millie Whatley, Steven K. Libutti and Stephen L. Bacharach
Journal of Nuclear Medicine November 2000, 41 (11) 1784-1792;
Martin A. Lodge
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Richard E. Carson
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Jorge A. Carrasquillo
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Millie Whatley
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Steven K. Libutti
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Stephen L. Bacharach
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  • FIGURE 1.
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    FIGURE 1.

    Representative FDG, transmission, and flow images of patient 3 show nature of parametric images derived from each of 6 models. (A) FDG. (B) PET transmission. (C) Flow f, model 1a. (D) Flow f, model 1b. (E) Flow f, model 2a. (F) Flow f, model 2b. (G) Flow f, model 3a. (H) Flow f, model 3b. Arrow A indicates tumor; arrows B and C indicate aorta. Images in (A) and (B) were acquired sequentially with water data and are approximately aligned with parametric images. Patient outline obtained from transmission image has been superimposed on images in (A), (C), (D), (G), and (H) to aid interpretation. Images in (A) and (B) were scaled to their individual maximums; images in (C–H) were scaled from 0 to 5 mL/min/g, and pixels with flows that exceeded upper limit took maximum color table value.

  • FIGURE 2.
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    FIGURE 2.

    Example images of patient 1. (A) FDG. (B) PET transmission. (C) Flow f, model 3a. (D) MRI. (E) Flow f, model 3b. (F) Arterial blood volume Va, model 3b. (A and B) Images were acquired sequentially with water data and are approximately aligned with parametric images. (D) MR image shows approximately same region as PET images. Arrows A and B indicate lesions; arrows C and D indicate aorta. Patient outline obtained from transmission image was superimposed on images in (A), (C), (E), and (F) to aid interpretation. Images in (A), (B), (D), and (F) were scaled to their individual maximums; images in (C) and (E) were scaled from 0 to1 mL/min/g, and pixels with flows that exceeded upper limit took maximum color table value.

  • FIGURE 3.
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    FIGURE 3.

    Multiple tumor blood flow measurements obtained from model 2b parametric images. Patients 1 and 2 each had 2 water studies; patients 3–5 each had 3 water studies.

  • FIGURE 4.
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    FIGURE 4.

    Tumor blood flow for each of 5 patients calculated from parametric images. Results from 6 different formulations of single-compartment model are shown, slightly offset from each other. Blood flow values are mean of measurements obtained from separate water studies, and error bars denote 1 SD.

  • FIGURE 5.
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    FIGURE 5.

    Tumor blood flow calculated from parametric images as fraction of same parameter calculated using ROI method with corresponding model. Data for 6 models are shown and, for each model, data points for each patient are offset for clarity.

  • FIGURE 6.
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    FIGURE 6.

    Myocardial blood flow obtained using both parametric image and ROI methods for each patient. Model 2b was used in both cases and data points for each patient have been offset for clarity. Blood flow values are mean of measurements obtained from separate water studies, and error bars denote 1 SD.

Tables

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    TABLE 1.

    Six Formulations of Standard [15O]Water Blood Flow Model

    ModelFixed parametersFree parameters
    1aα = 1.0, Va = 0f, Vd
    1bα = 1.0f, Vd, Va
    2aVd = 0.91 mL/g, Va = 0f, α
    2bVd = 0.91 mL/gf, α, Va
    3aα = 1.0, Vd = 0.91 mL/g, Va = 0f
    3bα = 1.0, Vd = 0.91 mL/gf, Va
    • During fitting procedure, fixed parameters were held at stated values and free parameters were allowed to vary.

    • View popup
    TABLE 2.

    Soft-Tissue Blood Flow Calculated Using Both ROI and Parametric Image Methods

    Modelf (mL/min/g)*f (parametric)/ f (ROI)†
    ROIParametric
    1a0.027 ± 0.0110.123 ± 0.0495.0 ± 2.0
    1b0.025 ± 0.0100.041 ± 0.0591.3 ± 2.5
    2a0.213 ± 0.0533.4 ± 1.017.3 ± 7.9
    2b0.186 ± 0.0573.6 ± 1.122.0 ± 12.0
    3a0.018 ± 0.0070.021 ± 0.0071.16 ± 0.11
    3b0.017 ± 0.0060.019 ± 0.0071.16 ± 0.15
    • ↵* Mean ± SD of flow measurements for all patients (13 studies).

    • ↵† Mean ± SD of 13 individual bias estimates.

    • View popup
    TABLE 3.

    Volume of Distribution for Regions of Tumor and Soft Tissue

    ROIVd (mL/g)*Vd (parametric)/ Vd (ROI)†
    ROIParametric
    Tumor0.79 ± 0.140.80 ± 0.151.001 ± 0.016
    Soft tissue0.123 ± 0.0390.014 ± 0.0160.10 ± 0.11
    • ↵* Mean ± SD of volume of distribution measurements (model 1b) for all patients (13 studies).

    • ↵† Mean ± SD of 13 individual bias estimates.

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Journal of Nuclear Medicine
Vol. 41, Issue 11
November 1, 2000
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Parametric Images of Blood Flow in Oncology PET Studies Using [15O]Water
Martin A. Lodge, Richard E. Carson, Jorge A. Carrasquillo, Millie Whatley, Steven K. Libutti, Stephen L. Bacharach
Journal of Nuclear Medicine Nov 2000, 41 (11) 1784-1792;

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Parametric Images of Blood Flow in Oncology PET Studies Using [15O]Water
Martin A. Lodge, Richard E. Carson, Jorge A. Carrasquillo, Millie Whatley, Steven K. Libutti, Stephen L. Bacharach
Journal of Nuclear Medicine Nov 2000, 41 (11) 1784-1792;
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