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Research ArticleOncology

Understanding Changes in Tumor Texture Indices in PET: A Comparison Between Visual Assessment and Index Values in Simulated and Patient Data

Fanny Orlhac, Christophe Nioche, Michaël Soussan and Irène Buvat
Journal of Nuclear Medicine March 2017, 58 (3) 387-392; DOI: https://doi.org/10.2967/jnumed.116.181859
Fanny Orlhac
1Imagerie Moléculaire In Vivo, IMIV, CEA, INSERM, CNRS, Université Paris-Sud, Université Paris Saclay, CEA-SHFJ, Orsay, France; and
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Christophe Nioche
1Imagerie Moléculaire In Vivo, IMIV, CEA, INSERM, CNRS, Université Paris-Sud, Université Paris Saclay, CEA-SHFJ, Orsay, France; and
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Michaël Soussan
1Imagerie Moléculaire In Vivo, IMIV, CEA, INSERM, CNRS, Université Paris-Sud, Université Paris Saclay, CEA-SHFJ, Orsay, France; and
2Department of Nuclear Medicine, AP-HP, Avicenne Hospital, Bobigny, France
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Irène Buvat
1Imagerie Moléculaire In Vivo, IMIV, CEA, INSERM, CNRS, Université Paris-Sud, Université Paris Saclay, CEA-SHFJ, Orsay, France; and
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  • FIGURE 1.
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    FIGURE 1.

    Process for creating sphere models. σ = SD.

  • FIGURE 2.
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    FIGURE 2.

    Example of 10 sphere models with edge effects. σ = SD; R = radius of internal sphere.

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    FIGURE 3.

    Plots of homogeneity (A), entropy (B), HGZE (C), and LGZE (D) for 10 sphere models with edge effects (mean and SD over 20 replicates).

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    FIGURE 4.

    Box plots of homogeneity (A), entropy (B), HGZE (C), and LGZE (D) for 10 sphere models and 54 breast tumors without and with VOI erosion of 1 voxel. *P < 0.05, Wilcoxon test. **P < 0.01, Wilcoxon test.

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    TABLE 1

    Summary of Texture Index Changes as Function of Type of Heterogeneity in Sphere Models

    First texture index familySecond texture index familySUVs
    ChangeHomogeneity LREEntropy SRELGZEHGZESUVmaxSUVmean
    Increasing average uptake (1 vs. 2)—+—+++
    Including hypersignal inserts (1 vs. 3, 4, 5)—+—+++
    Including hyposignal inserts (1 vs. 6, 7, 8)—++—Not sensitive—
    Making hyposignal insert larger (1 vs. 9, 10)—++—Not sensitive—
    Changing location of hyposignal (6 vs. 10)Little to no sensitivityLittle to no sensitivityLittle to no sensitivityLittle to no sensitivityLittle to no sensitivityLittle to no sensitivity
    Removing edge effect+——+Little to no sensitivity+
    Using smaller voxels+—Little to no sensitivityLittle to no sensitivityLittle to no sensitivityLittle to no sensitivity
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    TABLE 2

    Percentage of Breast Tumor Pairs with Less Than 5 mL of Volume Difference and Satisfying Various Conditions

    TestPercentage of pairs satisfying condition
    Homogeneity (t1) > homogeneity (t2) and LRE (t1) > LRE (t2)93.5
    Entropy (t1) > entropy (t2) and SRE (t1) > SRE (t2)91.5
    Homogeneity (t1) > homogeneity (t2) and entropy (t1) < entropy (t2)91.5
    Homogeneity (t1) > homogeneity (t2) and SRE (t1) < SRE (t2)95.0
    Entropy (t1) > entropy (t2) and LRE (t1) < LRE (t2)91.0
    SRE (t1) > SRE (t2) and LRE (t1) < LRE (t2)97.5
    HGZE (t1) > HGZE (t2) and LGZE (t1) < LGZE (t2)97.5

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Journal of Nuclear Medicine: 58 (3)
Journal of Nuclear Medicine
Vol. 58, Issue 3
March 1, 2017
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Understanding Changes in Tumor Texture Indices in PET: A Comparison Between Visual Assessment and Index Values in Simulated and Patient Data
Fanny Orlhac, Christophe Nioche, Michaël Soussan, Irène Buvat
Journal of Nuclear Medicine Mar 2017, 58 (3) 387-392; DOI: 10.2967/jnumed.116.181859

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Understanding Changes in Tumor Texture Indices in PET: A Comparison Between Visual Assessment and Index Values in Simulated and Patient Data
Fanny Orlhac, Christophe Nioche, Michaël Soussan, Irène Buvat
Journal of Nuclear Medicine Mar 2017, 58 (3) 387-392; DOI: 10.2967/jnumed.116.181859
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Keywords

  • texture analysis
  • tumor heterogeneity
  • PET
  • oncology
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