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Research ArticleImaging

The Effect of New Formulas for Lean Body Mass on Lean-Body-Mass–Normalized SUV in Oncologic 18F-FDG PET/CT

Trygve Halsne, Ebba Glørsen Müller, Ann-Eli Spiten, Alexander Gul Sherwani, Lars Tore Gyland Mikalsen, Mona-Elisabeth Revheim and Caroline Stokke
Journal of Nuclear Medicine Technology September 2018, 46 (3) 253-259; DOI: https://doi.org/10.2967/jnmt.117.204586
Trygve Halsne
1Department of Diagnostic Physics, Oslo University Hospital, Oslo, Norway
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Ebba Glørsen Müller
2Department of Nuclear Medicine, Oslo University Hospital, Oslo, Norway
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Ann-Eli Spiten
2Department of Nuclear Medicine, Oslo University Hospital, Oslo, Norway
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Alexander Gul Sherwani
2Department of Nuclear Medicine, Oslo University Hospital, Oslo, Norway
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Lars Tore Gyland Mikalsen
1Department of Diagnostic Physics, Oslo University Hospital, Oslo, Norway
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Mona-Elisabeth Revheim
2Department of Nuclear Medicine, Oslo University Hospital, Oslo, Norway
3Institute of Clinical Medicine, University of Oslo, Oslo, Norway; and
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Caroline Stokke
1Department of Diagnostic Physics, Oslo University Hospital, Oslo, Norway
4Department of Life Sciences and Health, Oslo Metropolitan University, Oslo, Norway
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  • FIGURE 1.
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    FIGURE 1.

    Tissue segmentation in accordance with CT-based method described by Hamil et al. (18). (Top) CT thorax image in axial projection. (Bottom) Regions segmented as skin, fat, and LBM in Hounsfield units (HU) of −500 to −201, −200 to −51, and −50 to 200, respectively.

  • FIGURE 2.
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    FIGURE 2.

    Bland–Altman plots illustrating differences between Embedded Image and Embedded Image (A), Embedded Image and Embedded Image (B), Embedded Image and Embedded Image (C), and Embedded Image and Embedded Image (D). Dashed black lines denote mean difference, whereas gray dashed lines denote limits of agreement. Squares and triangles denote male and female patients, respectively.

  • FIGURE 3.
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    FIGURE 3.

    Bar plots showing how variations in LBM calculation can affect maximum and peak SUL for individual tumors. SUL of a single tumor is given for each patient, with patients being sorted by increasing BMI.

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    FIGURE 4.

    Liver SUL vs. BMI for Embedded Image(A), Embedded Image, (B) Embedded Image (C), and BMI (D). Squares and triangles denote male and female patients, respectively, with associated solid regression lines.

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    TABLE 1

    Patient Characteristics

    BMI range
    Characteristic18.5–24.925.0–29.930.0–∞
    Subjects (n)151613
    Measured BMI22.4 ±± 1.627.3 ±± 1.432.7 ±± 4.1
    Height (m)1.66 ±± 0.061.71 ±± 0.071.73 ±± 0.10
    Weight (kg)62.2 ±± 6.180.1 ±± 9.098.0 ±± 8.8
    Sex (n)
     Male599
     Female1074
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    TABLE 2

    ICCs Using Embedded Image as Reference

    MethodLBMICC95% confidence intervalP
    Embedded Image55.8 ±± 10.20.770.11–0.91Embedded Image
    Embedded Image53.3 ±± 11.70.870.60–0.94Embedded Image
    Embedded Image51.0 ±± 9.60.980.89–0.99Embedded Image
    Embedded Image49.5 ±± 10.41—
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Journal of Nuclear Medicine Technology: 46 (3)
Journal of Nuclear Medicine Technology
Vol. 46, Issue 3
September 1, 2018
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The Effect of New Formulas for Lean Body Mass on Lean-Body-Mass–Normalized SUV in Oncologic 18F-FDG PET/CT
Trygve Halsne, Ebba Glørsen Müller, Ann-Eli Spiten, Alexander Gul Sherwani, Lars Tore Gyland Mikalsen, Mona-Elisabeth Revheim, Caroline Stokke
Journal of Nuclear Medicine Technology Sep 2018, 46 (3) 253-259; DOI: 10.2967/jnmt.117.204586

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The Effect of New Formulas for Lean Body Mass on Lean-Body-Mass–Normalized SUV in Oncologic 18F-FDG PET/CT
Trygve Halsne, Ebba Glørsen Müller, Ann-Eli Spiten, Alexander Gul Sherwani, Lars Tore Gyland Mikalsen, Mona-Elisabeth Revheim, Caroline Stokke
Journal of Nuclear Medicine Technology Sep 2018, 46 (3) 253-259; DOI: 10.2967/jnmt.117.204586
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