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Research ArticleClinical Investigations

18F-FDG PET/CT for the Early Evaluation of Response to Neoadjuvant Treatment in Triple-Negative Breast Cancer: Influence of the Chemotherapy Regimen

David Groheux, Lucie Biard, Sylvie Giacchetti, Luis Teixeira, Elif Hindié, Caroline Cuvier, Laetitia Vercellino, Pascal Merlet, Anne de Roquancourt, Patricia de Cremoux, Matthieu Resche-Rigon and Marc Espié
Journal of Nuclear Medicine April 2016, 57 (4) 536-543; DOI: https://doi.org/10.2967/jnumed.115.163907
David Groheux
1Department of Nuclear Medicine, APHP, Saint-Louis Hospital, Paris, France
2University Paris-Diderot, PRES Paris Cité, INSERM/CNRS UMR944/7212, Paris, France
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Lucie Biard
3Department of Biostatistics and Information, APHP, Saint-Louis Hospital, Paris, France
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Sylvie Giacchetti
4Department of Medical Oncology, Breast Diseases Center, APHP, Saint-Louis Hospital, Paris, France
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Luis Teixeira
2University Paris-Diderot, PRES Paris Cité, INSERM/CNRS UMR944/7212, Paris, France
4Department of Medical Oncology, Breast Diseases Center, APHP, Saint-Louis Hospital, Paris, France
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Elif Hindié
5Department of Nuclear Medicine, CHU Bordeaux, University of Bordeaux, France
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Caroline Cuvier
4Department of Medical Oncology, Breast Diseases Center, APHP, Saint-Louis Hospital, Paris, France
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Laetitia Vercellino
1Department of Nuclear Medicine, APHP, Saint-Louis Hospital, Paris, France
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Pascal Merlet
1Department of Nuclear Medicine, APHP, Saint-Louis Hospital, Paris, France
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Anne de Roquancourt
6Department of Pathology, APHP, Saint-Louis Hospital, Paris, France; and
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Patricia de Cremoux
2University Paris-Diderot, PRES Paris Cité, INSERM/CNRS UMR944/7212, Paris, France
7Molecular Oncology Unit, APHP, Saint-Louis, Paris, France
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Matthieu Resche-Rigon
3Department of Biostatistics and Information, APHP, Saint-Louis Hospital, Paris, France
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Marc Espié
2University Paris-Diderot, PRES Paris Cité, INSERM/CNRS UMR944/7212, Paris, France
4Department of Medical Oncology, Breast Diseases Center, APHP, Saint-Louis Hospital, Paris, France
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  • FIGURE 1.
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    FIGURE 1.

    In 44-y-old patient with TNBC of left breast, transaxial PET (A) and PET/CT (B) images of primary tumor at baseline (SUVmax, 27.3) and after 2 cycles of SIM (C and D; SUVmax, 1.4). ΔSUVmax is −95%. No residual tumor was detected at surgery after 4 additional cycles of chemotherapy. Patient had no local or distant recurrence more than 1 y after surgery.

  • FIGURE 2.
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    FIGURE 2.

    SUVmax of primary tumor at PET1 and PET2 and ΔSUVmax in EC-D and SIM groups.

  • FIGURE 3.
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    FIGURE 3.

    ΔSUVmax according to pathologic response after neoadjuvant chemotherapy (pCR vs. non-pCR) in whole population and in EC-D and SIM groups.

  • FIGURE 4.
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    FIGURE 4.

    Kaplan–Meier curves for EFS in 78 patients according to tumor histology (A), SBR grade (B), AJCC stage (C), and pathology findings after neoadjuvant chemotherapy (D).

  • FIGURE 5.
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    FIGURE 5.

    Kaplan–Meier curves for EFS according to metabolic response after 2 courses of neoadjuvant chemotherapy. Analysis was performed with 3 different ΔSUVmax cutoffs.

Tables

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    TABLE 1

    Patient and Tumor Characteristics in Whole Population and in EC-D and SIM Groups

    VariableWhole populationEC-D groupSIM groupP
    Patients (n)78 (100)23 (29)55 (71)
    Median age (y)51 (27–78)55 (38–78)49 (27–71)0.21
    Median tumor size (mm)50 (18–170)50 (22–160)45 (18–170)0.46
    Histology (n)0.15
     Invasive ductal carcinoma73 (94)20 (87)53 (96)
     Metaplastic5 (6)3 (13)2 (4)
    SBR grade (n)0.039*
     28 (10)5 (23)3 (5)
     369 (90)17 (77)52 (95)
    Tumor classification† (n)0.93
     T11 (1)0 (0)1 (2)
     T236 (46)10 (43)26 (47)
     T322 (28)7 (30)15 (27)
     T419 (24)6 (26)13 (24)
    Lymph node classification† (n)0.57
     N032 (41)11 (48)21 (38)
     N127 (35)6 (26)21 (38)
     N215 (19)4 (17)11 (20)
     N34 (5)2 (9)2 (4)
    AJCC stage† (n)0.83
     IIA21 (27)7 (30)14 (25)
     IIB18 (23)4 (17)14 (25)
     IIIA18 (23)5 (22)13 (24)
     IIIB17 (22)5 (22)12 (22)
     IIIC4 (5)2 (9)2 (4)
    Type of surgery (n)0.62
     Breast-conserving surgery34 (44)9 (39)25 (46)
     Mastectomy43 (56)14 (61)29 (54)
    Pathologic response (n)0.078
     Non-pCR49 (63)18 (78)31 (56)
     pCR29 (37)5 (22)24 (44)
    • ↵* Statistically significant.

    • ↵† Prescan classification according to AJCC Cancer Staging Manual (24).

    • Data in parentheses are percentage or range.

    • View popup
    TABLE 2

    Clinical, Histologic, and Immunohistochemical Factors and PET Parameters According to Pathologic Response

    VariableNon-pCRpCRP
    Patients (n)49 (63)29 (37)
    Median age (y)50 (27–78)51 (33–70)0.78
    Median tumor size (mm)50 (18–160)40 (21–170)0.16
    Histology (n)0.15
     Invasive ductal carcinoma44 (90)29 (100)
     Metaplastic5 (10)0 (0)
    Grade (n)0.022*
     28 (17)0 (0)
     340 (83)29 (100)
    T-score (n)0.003*
     T11 (2)0 (0)
     T217 (35)19 (66)
     T320 (41)2 (7)
     T411 (22)8 (28)
    N-score (n)0.019*
     N019 (39)13 (45)
     N113 (27)14 (48)
     N214 (29)1 (3)
     N33 (6)1 (3)
    Stage (n)0.031*
     IIA9 (18)12 (41)
     IIB12 (24)6 (21)
     IIIA16 (33)2 (7)
     IIIB9 (18)8 (28)
     IIIC3 (6)1 (3)
    SUVmax
     At PET1
      Tumor9 (2–28)13 (5–27)0.004*
      Axilla (n = 58)6 (1–21)5 (1–16)0.22
      Target11 (2–28)13 (5–27)0.066*
     At PET2
      Tumor5 (1–31)3 (1–10)0.013*
      Axilla (n = 58)2 (1–17)1 (0.5–4)0.001*
      Target5 (1–31)3 (1–10)0.001*
     Difference (ΔSUVmax %)
      Tumor−42 (−89 to 142)−72 (−95 to −49)<0.0001*
      Axilla (n = 58)−53 (−90 to 0)−74 (−94 to 0)0.21
      Target−48 (−90 to 17)−74 (−95 to −49)<0.0001*
    • ↵* Statistically significant.

    • Data in parentheses are percentage or range.

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    TABLE 3

    Performance of PET Parameters in Predicting pCR Early in All 78 TNBC Patients

    SUVmaxAUC95% confidence interval
    At PET1
     Tumor0.700.57–0.81
     Axilla (n = 58)0.600.45–0.74
     Target*0.620.49–0.74
     Tumor + axilla†0.710.59–0.82
    At PET2
     Tumor0.670.55–0.79
     Axilla (n = 58)0.760.62–0.88
     Target0.720.6–0.83
     Tumor + axilla0.760.65–0.87
    Difference (ΔSUVmax %)
     Tumor0.860.77–0.93
     Axilla (n = 58)0.690.54–0.84
     Target0.820.72–0.9
     Tumor + axilla0.860.77–0.93
    • ↵* Site with highest baseline SUVmax (either breast tumor or axillary lymph node).

    • ↵† Logistic regression analysis combining tumor and axilla measurements.

    • View popup
    TABLE 4

    Comparison of Preparation Procedures, Some Patient Characteristics, and Instrumental Factors Between EC-D and SIM Groups

    VariableEC-D group (n = 23)SIM group (n = 55)P
    Weeks between PET1 and PET28 (6–14)6 (4–12)<0.0001
    Weeks between PET1 and surgery28 (10–37)17 (14–37)<0.0001
    Uptake time (min)
     PET169 (51–93)70 (57–95)0.49
     PET264 (55–95)67 (55–109)0.25
    Injected 18F-FDG dose (MBq)
     PET1317 (249–486)359 (248–476)0.22
     PET2335 (272–503)359 (210–494)0.50
    Patient weight (kg)
     PET165 (55–99)70 (49–100)0.22
     PET266 (55–103)68 (48–110)0.68
    Patient glycemia (mmol/L)
     PET15.8 (4.4–8.3)5.3 (3.6–10.9)0.082
     PET25.4 (4.0–7.5)5.5 (3.7–9.8)0.71
    • Data in parentheses are range.

    • View popup
    TABLE 5

    Performance of Various ΔSUVmax Cut-Offs in Predicting Non-pCR in EC-D and SIM Groups

    EC-DSIM
    CutoffRNRAccSeSpPPVNPVRNRAccSeSpPPVNPV
    −751387748920803329717590547281
    −701783708320792547538281838677
    −651783708320792558427868929169
    −603070747860884362387865969568
    −553565787880935064367661969566
    −50396183781001005669317152969461
    −4544577872100100507624674210010057
    −4048527467100100468218623210010053
    • R = metabolic responders (percentage of patients with ΔSUVmax ≥ cutoff); NR = metabolic nonresponders; Acc = accuracy; Se = sensitivity; Sp = specificity; PPV = positive predictive value; NPV = negative predictive value.

    • Data are percentages (n = 23 for EC-D group and 55 for SIM group).

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Journal of Nuclear Medicine: 57 (4)
Journal of Nuclear Medicine
Vol. 57, Issue 4
April 1, 2016
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18F-FDG PET/CT for the Early Evaluation of Response to Neoadjuvant Treatment in Triple-Negative Breast Cancer: Influence of the Chemotherapy Regimen
David Groheux, Lucie Biard, Sylvie Giacchetti, Luis Teixeira, Elif Hindié, Caroline Cuvier, Laetitia Vercellino, Pascal Merlet, Anne de Roquancourt, Patricia de Cremoux, Matthieu Resche-Rigon, Marc Espié
Journal of Nuclear Medicine Apr 2016, 57 (4) 536-543; DOI: 10.2967/jnumed.115.163907

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18F-FDG PET/CT for the Early Evaluation of Response to Neoadjuvant Treatment in Triple-Negative Breast Cancer: Influence of the Chemotherapy Regimen
David Groheux, Lucie Biard, Sylvie Giacchetti, Luis Teixeira, Elif Hindié, Caroline Cuvier, Laetitia Vercellino, Pascal Merlet, Anne de Roquancourt, Patricia de Cremoux, Matthieu Resche-Rigon, Marc Espié
Journal of Nuclear Medicine Apr 2016, 57 (4) 536-543; DOI: 10.2967/jnumed.115.163907
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Keywords

  • 18F-FDG PET/CT
  • triple-negative breast cancer
  • neoadjuvant chemotherapy
  • dose-dense chemotherapy
  • metabolic response
  • prognosis
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