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Research ArticleOncology

18F-FDG PET and CT Scans Detect New Imaging Patterns of Response and Progression in Patients with Hodgkin Lymphoma Treated by Anti–Programmed Death 1 Immune Checkpoint Inhibitor

Laurent Dercle, Romain-David Seban, Julien Lazarovici, Lawrence H. Schwartz, Roch Houot, Samy Ammari, Alina Danu, Véronique Edeline, Aurélien Marabelle, Vincent Ribrag and Jean-Marie Michot
Journal of Nuclear Medicine January 2018, 59 (1) 15-24; DOI: https://doi.org/10.2967/jnumed.117.193011
Laurent Dercle
1Gustave Roussy, Université Paris-Saclay, Inserm, Villejuif, France
2Gustave Roussy, Université Paris-Saclay, Département d'imagerie médicale, Villejuif, France
3Department of Radiology, Columbia University Medical Center, New York Presbyterian Hospital, New York, New York
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Romain-David Seban
2Gustave Roussy, Université Paris-Saclay, Département d'imagerie médicale, Villejuif, France
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Julien Lazarovici
4Department of Medicine Oncology, Gustave Roussy Comprehensive Cancer Center, Villejuif, France
5Gustave Roussy, Université Paris-Saclay, Département d'hématologie, Villejuif, France
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Lawrence H. Schwartz
3Department of Radiology, Columbia University Medical Center, New York Presbyterian Hospital, New York, New York
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Roch Houot
6CHU Rennes, Service Hematologie Clinique, Rennes, France
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Samy Ammari
2Gustave Roussy, Université Paris-Saclay, Département d'imagerie médicale, Villejuif, France
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Alina Danu
4Department of Medicine Oncology, Gustave Roussy Comprehensive Cancer Center, Villejuif, France
5Gustave Roussy, Université Paris-Saclay, Département d'hématologie, Villejuif, France
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Véronique Edeline
7Department of Imaging, Institut Curie R. Huguenin Hospital, Saint-Cloud, France; and
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Aurélien Marabelle
1Gustave Roussy, Université Paris-Saclay, Inserm, Villejuif, France
8Drug Development Department, Gustave Roussy Comprehensive Cancer Center, Villejuif, France
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Vincent Ribrag
4Department of Medicine Oncology, Gustave Roussy Comprehensive Cancer Center, Villejuif, France
5Gustave Roussy, Université Paris-Saclay, Département d'hématologie, Villejuif, France
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Jean-Marie Michot
4Department of Medicine Oncology, Gustave Roussy Comprehensive Cancer Center, Villejuif, France
5Gustave Roussy, Université Paris-Saclay, Département d'hématologie, Villejuif, France
8Drug Development Department, Gustave Roussy Comprehensive Cancer Center, Villejuif, France
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  • FIGURE 1.
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    FIGURE 1.

    Patterns of response on CT scanning and 18F-FDG PET; evolution of patients after initiation of anti-PD1. Number identifies each patient. Dotted lines distinguish 2 patients who died from progression. Color indicates BOR according to Cheson 2014 criteria (blue = complete response [CR], green = partial response [PR], orange = stable disease [SD], red = progressive disease [PD]).

  • FIGURE 2.
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    FIGURE 2.

    Best 6-mo variation in imaging biomarkers. Color code refers to BOR according to Cheson 2014 criteria (blue = complete response [CR], green = partial response [PR], orange = stable disease [SD], red = progressive disease [PD]). SMI = skeletal muscle index.

  • FIGURE 3.
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    FIGURE 3.

    Responders have an increase in spleen metabolism (ΔSUVspleen) at 3 mo.

  • FIGURE 4.
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    FIGURE 4.

    IR type 2: transient size progression. (A) Evolution of SPD and SUVmax after treatment initiation expressed as percentage. (B) Evolution of right inguinal lesion. (C) Evolution of patient.

  • FIGURE 5.
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    FIGURE 5.

    IR type 3: transient SUVmax progression. (A) Evolution of SPD and SUVmax after treatment initiation expressed as percentage. Evolution of left inguinal lesion (B) and of patient (C).

  • FIGURE 6.
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    FIGURE 6.

    New non-Hodgkin lesions appeared during anti-PD1 treatment. 18F-FDG PET/CT detected grade 2 colitis (A), pancreatitis (B), and zona activation in right axilla (C, from left to right: maximum-intensity-projection baseline, maximum-intensity-projection and fused PET/CT image during follow-up).

  • FIGURE 7.
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    FIGURE 7.

    No hyperprogression was observed after anti-PD1 initiation. Tumor growth rate decreased in all patients (e.g., A–C). Value of SPD, SUVmax, and MTV is set up at 100% at baseline to evaluate their variation before and after treatment initiation.

Tables

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    TABLE 1

    Patients' Characteristics (n = 16)

    CharacteristicMedian no.
    Sex
     Male9 (56)
     Female7 (44)
    Treatment
     Pembrolizumab (clinical trial)15 (94)
      200 mg/2 wk (NCT01953692)8 (50)
      200 mg/3 wk (NCT02453594)7 (44)
     Nivolumab (compassionate)1 (6)
      3 mg/kg/2 wk1 (6)
    Age39 (range, 19–69)
    Delay since first diagnosis4.4 y (range, 0.6–14.8)
    Ann Arbor stage
     Localized5 (31)
     I0 (0)
     IIA2 (13)
     IIB3 (19)
     Advanced11 (69)
     III1 (6)
     IV10 (63)
    Prior treatment
     Previous lines of therapy*6 (range, 3–13)
     Chemotherapies16 (100)
     Targeted molecular agents5 (31)
     Autologous stem cell transplantation8 (50)
     Radiation therapy5 (31)
    • ↵* Excluding high-dose preparative regimen prior to autologous stem cell transplantation.

    • Data in parentheses are percentages, unless otherwise indicated.

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    TABLE 2

    18F-FDG PET and CT Response at 3 Months Predict BOR

    Refractory (n = 7)Responding (n = 9)
    ParameterEvaluationMeanMedianMeanMedianP
    Guideline
     ΔSPD-ChesonBL (cm2)23.720.140.316.50.31
    Δ3−19%−17%−70%−79%0.03
     PET-5PS3 mo4.4353.5640.13
    Tumor 18F-FDG uptake
     SUVmeanBL4.424.75.525.30.11
    Δ3−11%−13%−54%−44%0.03
     SUVmaxBL12.3314.316.1814.40.31
    Δ3−8%−17%−63%−65%0.09
     MTVBL (cm3)8554339410.06
    Δ349%−37%−90%−98%0.02
     TLGBL (SUV⋅cm3)8554339410.06
    Δ349%−37%−90%−98%0.02
    Lymphoid 18F-FDG uptake
     SpleenBL*32.92.672.50.46
    Δ3*−14%−16%8%5%0.03
     ThymusBL*1.621.51.761.90.6
    Δ3*−5%0%11%8%0.6
     IleocaecalBL3.712.92.782.60.74
    Δ3−11%−7%9%17%0.74
     OsteomedullaryBL†2.792.63.713.050.21
    Δ3†−6%−13%−4%−4%0.74
    Sarcopenia
     Skeletal muscle indexBL (cm2⋅m-2)686574710.87
    Δ33%3%3%0%1
    • *Missing data in refractory group.

    • †Missing data in response group.

    • Data are distribution of imaging biomarkers in refractory and responding patients at baseline (BL) and changes 3 mo after anti-PD1 initiation (Δ3, expressed as a percentage). Wilcoxon test showed significant differences between the 2 groups.

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    TABLE 3

    Biologic Response at 3 Months Does Not Predict BOR

    Refractory (n = 7)Responding (n = 9)
    BiomarkerEvaluationMeanMedianMeanMedianP
    AlbuminBL (g/L)383834390.31
    Δ39%5%8%2%0.87
    LDHBL (UI/L)2112082392250.74
    Δ3−4%0%−12%−21%0.50
    LeukocyteBL (g/L)10.59.611.077.71.00
    Δ3−20%−14%−19%−18%0.50
    PNNBL (g/L)6.66.68.716.70.61
    Δ3−19%−32%−30%−28%1.00
    PNEoBL (g/L)1.190.50.220.10.15
    Δ3†39%0%499%75%0.75
    PNBasoBL (g/L)0.1700.0100.20
    Δ3*†−67%−100%−100%
    LymphocytesBL (G/L)1.831.411.10.17
    Δ3*13%−2%62%33%0.35
    MonocytesBL (G/L)0.810.71.10.60.92
    Δ3−2%0%1%0%0.50
    CRPBL (mg/dL)79401321130.40
    Δ3*†57%−85%−55%−91%0.29
    FibrinogenBL (G/L)*6.326.85.645.70.60
    Δ3*†−16%−29%−32%−29%0.14
    • *Missing data in refractory group.

    • †Missing data in response group.

    • LDH = lactate dehydrogenase; PNN = polynuclear neutrophils; PNEo = polynuclear eosinophils; PNBaso = polynuclear basophils; CRP = C-reactive protein.

    • Data are distribution of biologic biomarkers in refractory and responding patients at baseline (BL) and change 3 mo after anti-PD1 initiation (Δ3, expressed as a percentage). Wilcoxon test did not show significant mean differences between those 2 groups.

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    TABLE 4

    18F-FDG PET and CT Response at 3 Months Predict BOR

    VariableAUCP
    Guideline
     ΔSPD-Cheson0.95 (0.83–1.0)0.008
     PET 5-point scale0.80 (0.55–1.0)0.079
    Intensity of glucose consumption within tumor volume
     ΔSUVmean0.89 (0.72–1.0)0.01
     ΔSUVmax0.87 (0.67–1.0)0.028
    Tumor burden
     ΔMTV0.98 (0.90–1.0)0.005
     ΔTLG0.95 (0.86–1.0)0.003
    Intensity of glucose consumption within healthy lymphoid tissue
     ΔSUVmax spleen0.85 (0.63–1.0)0.04
    • Responders had significant decrease in tumor volume and metabolism and increase in spleen metabolism at 3 mo. Data in parentheses are 95% confidence intervals.

    • View popup
    TABLE 5

    Comparison of Lugano Criteria and LYRIC

    CriteriaComplete responsePartial responseProgressive disease
    LuganoPET/CT score 1, 2, or 3 with or without a residual mass on 5PS OR on CT, target nodes/nodal masses must regress to ≤1.5 cm in LDi.PET/CT score 4 or 5 with reduced uptake compared with baseline and residual masses of any size. OR On CT ≥50% decrease in SPD of up to 6 target measurable nodes and extranodal sites.PET/CT score 4 or 5 with an increase in intensity of uptake from baseline or new 18F-FDG–avid foci consistent with lymphoma at interim or end-of-treatment assessment. OR On CT, an individual node/lesion must be abnormal with: LDi > 1.5 cm and increase by ≥50% from product of the perpendicular diameters nadir and an increase in LDi or SDi from nadir 0.5 cm for lesions ≤ 2 cm and 1.0 cm for lesions > 2 cm.
    In the setting of splenomegaly, the splenic length must increase by >50% of the extent of its prior increase beyond baseline (e.g., a 15-cm spleen must increase to >16 cm). If no prior splenomegaly, must increase by ≥2 cm from baseline. New or recurrent splenomegaly.
    New or clear progression of preexisiting nonmeasured lesions.
    Regrowth of previously resolved lesions
    A new node > 1.5 cm in any axis or a new extranodal site > 1.0 cm in any axis; if <1.0 cm in any axis, its presence must be unequivocal and must be attributable to lymphoma.
    Assessable disease of any size unequivocally attributable to lymphoma.
    AND/OR new or recurrent involvement of the bone marrow.
    LYRICSame as LuganoSame as LuganoAs with Lugano with the following exceptions:
    IR1: ≥50% increase in SPD in first 12 wk.
    IR2a: <50% increase in SPD with new lesions.
    IR2b: <50% increase in SPD with ≥50% increase in PPD of a lesion or set of lesions at any time during treatment.
    IR3: Increase in 18F-FDG uptake without a concomitant increase in lesion size meeting criteria for progressive disease.
    • IR = immune response; LDi = longest diameter; SDi = short diameter; SPD = sum of the product of the diameters; PPD = product of the perpendicular diameters.

    • Refinement of Lugano classification lymphoma response criteria in era of immunomodulatory therapy as proposed by Cheson et al. (18).

    • View popup
    TABLE 6

    PET 5-Point Scale Classification Has Good Predictive Value for Lesion Outcome

    18F-FDG–avid at 3 mo18F-FDG–avid at 6 mo
    PET-5PS+−Total+−Total
    18F-FDG–avid 3 mo later
     +1191313263467
     −161421582138140
     Total13515529065142207
    PPV, 88%NPV, 92%PPV, 97%NPV, 97%
    • We evaluated glucose metabolism within 290 Hodgkin lesions at baseline and every 3 mo after anti-PD1 initiation. PET-5PS had excellent NPV and PPV.

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Journal of Nuclear Medicine: 59 (1)
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18F-FDG PET and CT Scans Detect New Imaging Patterns of Response and Progression in Patients with Hodgkin Lymphoma Treated by Anti–Programmed Death 1 Immune Checkpoint Inhibitor
Laurent Dercle, Romain-David Seban, Julien Lazarovici, Lawrence H. Schwartz, Roch Houot, Samy Ammari, Alina Danu, Véronique Edeline, Aurélien Marabelle, Vincent Ribrag, Jean-Marie Michot
Journal of Nuclear Medicine Jan 2018, 59 (1) 15-24; DOI: 10.2967/jnumed.117.193011

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18F-FDG PET and CT Scans Detect New Imaging Patterns of Response and Progression in Patients with Hodgkin Lymphoma Treated by Anti–Programmed Death 1 Immune Checkpoint Inhibitor
Laurent Dercle, Romain-David Seban, Julien Lazarovici, Lawrence H. Schwartz, Roch Houot, Samy Ammari, Alina Danu, Véronique Edeline, Aurélien Marabelle, Vincent Ribrag, Jean-Marie Michot
Journal of Nuclear Medicine Jan 2018, 59 (1) 15-24; DOI: 10.2967/jnumed.117.193011
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Keywords

  • Hodgkin lymphoma
  • FDG-PET/CT
  • immunomodulatory
  • Cheson
  • Lugano
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