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Research ArticleClinical Investigations

18F-FDG PET–Derived Tumor Blood Flow Changes After 1 Cycle of Neoadjuvant Chemotherapy Predicts Outcome in Triple-Negative Breast Cancer

Olivier Humbert, Jean-Marc Riedinger, Jean-Marc Vrigneaud, Salim Kanoun, Inna Dygai-Cochet, Alina Berriolo-Riedinger, Michel Toubeau, Edouard Depardon, Maud Lassere, Simon Tisserand, Pierre Fumoleau, François Brunotte and Alexandre Cochet
Journal of Nuclear Medicine November 2016, 57 (11) 1707-1712; DOI: https://doi.org/10.2967/jnumed.116.172759
Olivier Humbert
1Department of Nuclear Medicine, Centre GF Leclerc, Dijon, France
2LE2I UMR 6306, CNRS, Arts et Métiers, Université de Bourgogne Franche-Comté, Besançon, France
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Jean-Marc Riedinger
1Department of Nuclear Medicine, Centre GF Leclerc, Dijon, France
3Departments of Biology and Pathology, Centre GF Leclerc, Dijon, France
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Jean-Marc Vrigneaud
1Department of Nuclear Medicine, Centre GF Leclerc, Dijon, France
2LE2I UMR 6306, CNRS, Arts et Métiers, Université de Bourgogne Franche-Comté, Besançon, France
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Salim Kanoun
1Department of Nuclear Medicine, Centre GF Leclerc, Dijon, France
2LE2I UMR 6306, CNRS, Arts et Métiers, Université de Bourgogne Franche-Comté, Besançon, France
4Imaging Department, CHU Le Bocage, Dijon, France; and
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Inna Dygai-Cochet
1Department of Nuclear Medicine, Centre GF Leclerc, Dijon, France
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Alina Berriolo-Riedinger
1Department of Nuclear Medicine, Centre GF Leclerc, Dijon, France
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Michel Toubeau
1Department of Nuclear Medicine, Centre GF Leclerc, Dijon, France
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Edouard Depardon
1Department of Nuclear Medicine, Centre GF Leclerc, Dijon, France
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Maud Lassere
1Department of Nuclear Medicine, Centre GF Leclerc, Dijon, France
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Simon Tisserand
1Department of Nuclear Medicine, Centre GF Leclerc, Dijon, France
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Pierre Fumoleau
5Department of Medical Oncology, Centre GF Leclerc, Dijon, France
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François Brunotte
1Department of Nuclear Medicine, Centre GF Leclerc, Dijon, France
2LE2I UMR 6306, CNRS, Arts et Métiers, Université de Bourgogne Franche-Comté, Besançon, France
4Imaging Department, CHU Le Bocage, Dijon, France; and
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Alexandre Cochet
1Department of Nuclear Medicine, Centre GF Leclerc, Dijon, France
2LE2I UMR 6306, CNRS, Arts et Métiers, Université de Bourgogne Franche-Comté, Besançon, France
4Imaging Department, CHU Le Bocage, Dijon, France; and
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  • FIGURE 1.
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    FIGURE 1.

    Bivariate scatterplots of tumor BF response (ΔBF) and tumor metabolism response (ΔSUVmax).

  • FIGURE 2.
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    FIGURE 2.

    Kaplan–Meier curves showing OS according to menopausal status, histologic response, tumor BF response (ΔBF cutoff = −30%), and association of pathologic response and ΔBF. P values were determined with log-rank test.

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    TABLE 1

    Factors Affecting Survival

    OS*Disease-free survival*
    VariableEventsHR (95% CI)PEventsHR (95% CI)P
    Menopausal status
     No1/2812/281
     Yes6/189.7 (1.1–84)0.0356/185.4 (1.0–28)0.040
    Glucose metabolic response (ΔSUVmax cutoff = −50%)
     Good metabolic response2/2012/201
     Poor metabolic response5/203.1 (0.6–16)NS5/203.0 (0.6–16)NS
     Unknown0/61/6
    BF response (ΔBF cutoff = −30%)
     Good BF response1/2011/201
     Poor BF response6/209.6 (1.1–84)0.0376/209.2 (1.1–80)0.040
     Unknown0/61/6
    Type of surgery
     Breast-conserving3/3014/301
     Mastectomy4/164.7 (1.0–22)0.0464/163.3 (0.8–14)NS
    Histologic response
     pCR0/20NC—1/201
     Non-pCR7/267/266.7 (0.8–57)NS
    Histologic response + BF response (cutoff = −30%)
     pCR0/20NC—1/201
     Non-pCR and good BF response1/101/101.4 (0.3–20)NS
     Non-pCR and poor BF response6/136/1313 (1.5–116)0.017
     Unknown0/30/3
    • ↵* Univariate Cox proportional hazards model (patients with unknown variables were not included in the model).

    • Tumor size (>5 cm), American Joint Committee on Cancer staging, lymph node involvement, history of pregnancy, Scarf–Bloom–Richardson grading, tumor architectural differentiation, nuclear pleomorphism, number of mitosis, SUVmax1, BF1, and the SUVmax1/BF1 ratio were not associated with OS. Data in parentheses are 95% CIs.

    • HR = hazard ratio; NS = nonsignificant (P > 0.05); NC = not calculable.

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Journal of Nuclear Medicine: 57 (11)
Journal of Nuclear Medicine
Vol. 57, Issue 11
November 1, 2016
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18F-FDG PET–Derived Tumor Blood Flow Changes After 1 Cycle of Neoadjuvant Chemotherapy Predicts Outcome in Triple-Negative Breast Cancer
Olivier Humbert, Jean-Marc Riedinger, Jean-Marc Vrigneaud, Salim Kanoun, Inna Dygai-Cochet, Alina Berriolo-Riedinger, Michel Toubeau, Edouard Depardon, Maud Lassere, Simon Tisserand, Pierre Fumoleau, François Brunotte, Alexandre Cochet
Journal of Nuclear Medicine Nov 2016, 57 (11) 1707-1712; DOI: 10.2967/jnumed.116.172759

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18F-FDG PET–Derived Tumor Blood Flow Changes After 1 Cycle of Neoadjuvant Chemotherapy Predicts Outcome in Triple-Negative Breast Cancer
Olivier Humbert, Jean-Marc Riedinger, Jean-Marc Vrigneaud, Salim Kanoun, Inna Dygai-Cochet, Alina Berriolo-Riedinger, Michel Toubeau, Edouard Depardon, Maud Lassere, Simon Tisserand, Pierre Fumoleau, François Brunotte, Alexandre Cochet
Journal of Nuclear Medicine Nov 2016, 57 (11) 1707-1712; DOI: 10.2967/jnumed.116.172759
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Keywords

  • triple-negative
  • breast cancer
  • PET
  • Blood flow
  • perfusion
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