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Research ArticleOncology

Prognostic Value of 18F-FDG PET/CT in a Large Cohort of Patients with Advanced Metastatic Neuroendocrine Neoplasms Treated with Peptide Receptor Radionuclide Therapy

Jingjing Zhang, Qingxing Liu, Aviral Singh, Christiane Schuchardt, Harshad R. Kulkarni and Richard P. Baum
Journal of Nuclear Medicine November 2020, 61 (11) 1560-1569; DOI: https://doi.org/10.2967/jnumed.119.241414
Jingjing Zhang
1Theranostics Center for Molecular Radiotherapy and Precision Oncology, ENETS Center of Excellence, Zentralklinik Bad Berka, Bad Berka, Germany
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Qingxing Liu
1Theranostics Center for Molecular Radiotherapy and Precision Oncology, ENETS Center of Excellence, Zentralklinik Bad Berka, Bad Berka, Germany
2Department of Nuclear Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China; and
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Aviral Singh
1Theranostics Center for Molecular Radiotherapy and Precision Oncology, ENETS Center of Excellence, Zentralklinik Bad Berka, Bad Berka, Germany
3GROW–School for Oncology and Developmental Biology, Maastricht University, Maastricht, the Netherlands
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Christiane Schuchardt
1Theranostics Center for Molecular Radiotherapy and Precision Oncology, ENETS Center of Excellence, Zentralklinik Bad Berka, Bad Berka, Germany
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Harshad R. Kulkarni
1Theranostics Center for Molecular Radiotherapy and Precision Oncology, ENETS Center of Excellence, Zentralklinik Bad Berka, Bad Berka, Germany
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Richard P. Baum
1Theranostics Center for Molecular Radiotherapy and Precision Oncology, ENETS Center of Excellence, Zentralklinik Bad Berka, Bad Berka, Germany
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  • FIGURE 1.
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    FIGURE 1.

    Kaplan–Meier curves of OS and PFS for all patients (n = 495). (A) Median OS was 58.7 mo (95% CI, 52.8–64.6). (B) Median PFS was 19.6 mo (95% CI, 17.6–21.7).

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    FIGURE 2.

    Kaplan–Meier survival analysis of all NEN patients (n = 495) stratified by baseline 18F-FDG status. Patients with 18F-FDG–negative lesions had significantly higher median OS (A) (83.1 mo vs. 53.2 mo, P < 0.001) and higher median PFS (B) (24.1 mo vs. 18.5 mo, P < 0.002) than patients with 18F-FDG–positive lesions.

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    FIGURE 3.

    Kaplan–Meier curves of OS (A) and PFS (B) for 177Lu subgroup (n = 60) stratified by baseline 18F-FDG status.

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    FIGURE 4.

    Kaplan–Meier survival of OS (A) and PFS (B) for pancreatic NEN subgroup (n = 199) stratified by baseline 18F-FDG status.

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    TABLE 1

    Demographics of Patients with NENs (n = 495)

    DemographicData
    Sex
     Male299 (60.4)
     Female196 (39.6)
    Age (y)
     Median59.0 ± 10.7
     y ≤50111 (22.4)
     50< y ≤60146 (29.5)
     60< y ≤70165 (33.3)
     70< y ≤8073 (14.7)
    Primary tumor site
     Cancer of unknown primary49 (9.9)
     Lung38 (7.7)
     Midgut139 (28.1)
     Others42 (8.5)
     Pancreas199 (40.2)
     Rectum20 (4.0)
     Stomach8 (1.6)
    Ki-67 index grading
     G1 (Ki-67 < 3%)117 (23.6)
     G2 (Ki-67 = 3%–20%)245 (49.5)
     G3 (Ki-67 > 20%)29 (5.9)
     Not assessed104 (21.0)
    • Qualitative data are numbers followed by percentages in parentheses; continuous data are medians.

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    TABLE 2

    Baseline 68Ga-SSTR and 18F-FDG PET Imaging of Patients with NENs

    ParameterData
    68Ga-SSTR uptake495 (100.0)
     SUVmax = liver (level 1)3 (0.6)
     Liver<SUVmax≤15 (level 2)161 (32.5)
     15<SUVmax≤20 (level 3)106 (21.4)
     SUVmax>20 (level 4)225 (45.5)
    18F-FDG uptake495 (100.0)
     Positive382 (77.2)
     Negative113 (22.8)
    Primary tumor uptake on 18F-FDG PET
     No uptake (level 1)376 (76.0)
     SUVmax≤10 (level 2)87 (17.6)
     10<SUVmax≤15 (level 3)16 (3.2)
     SUVmax>15 (level 4)16 (3.20)
    Primary tumor uptake on 68Ga-SSTR
     No uptake (level 1)262 (52.9)
     SUVmax≤15 (level 2)102 (20.6)
     15<SUVmax≤20 (level 3)37 (7.5)
     SUVmax>20 (level 4)94 (19.0)
    Liver tumor burden on 18F-FDG PET
     0 lesions (level 1)239 (48.3)
     1 lesion (level 2)49 (9.9)
     2 to ≤5 lesions (level 3)126 (25.5)
     >5 lesions (level 4)77 (15.6)
     Not assessed4 (0.8)
    Bone tumor burden on 18F-FDG PET
     0 lesions (level 1)409 (82.6)
     1 lesion (level 2)29 (5.9)
     2 to ≤5 lesions (level 3)36 (7.3)
     >5 lesions (level 4)19 (3.8)
     Not assessed2 (0.4)
    Lymph node tumor burden on 18F-FDG PET
     0 lesions (level 1)362 (73.1)
     1 lesion (level 2)55 (11.1)
     2 to ≤5 lesions (level 3)58 (11.7)
     >5 lesions (level 4)13 (2.6)
     Not assessed7 (1.4)
    Lung tumor burden on 18F-FDG PET
     0 lesions (level 1)463 (93.5)
     1 lesion (level 2)22 (4.4)
     2 to ≤5 lesions (level 3)6 (1.2)
     >5 lesions (level 4)4 (0.8)
    Liver tumor burden on 68Ga-SSTR PET
     0 lesions (level 1)76 (15.4)
     1 lesion (level 2)32 (6.5)
     2 to ≤5 lesions (level 3)153 (30.9)
     >5 lesions (level 4)234 (47.3)
    Liver tumor 68Ga-SSTR uptake
     No uptake (level 1)77 (15.6)
     SUVmax≤15 (level 2)117 (23.6)
     15<SUVmax≤20 (level 3)90 (18.2)
     SUVmax>20 (level 4)211 (42.6)
    • Data are numbers followed by percentages in parentheses.

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    TABLE 3

    Univariate and Multivariate Analyses of Potential Factors Contributing to OS, Part 1

    OS (mo)Multivariate analysis
    FactorsMedian95% CIUnivariate analysis (P)HR and 95% CIP
    All patients58.752.8–64.6
    Sex
     Male53.747.6–59.80.040
     Female66.154.4–77.8
    Age (y)
     y ≤5069.861.7–77.80.024
     50< y ≤6061.651.5–71.7
     60< y ≤7053.049.8–56.3
     70< y ≤8049.039.6–58.5
    Grading
     Grade 178.566.2–90.8<0.0010.012
     Grade 255.446.9–63.91.4 (1.0–2.0)0.038
     Grade 333.218.8–7.62.5 (1.3–4.5)0.004
     Not assessed54.148.3–59.91.6 (1.1–2.2)0.009
    18F-FDG PET uptake
     Positive53.249.4–57.0<0.0010.002
     Negative83.157.0–109.20.5 (0.3–0.8)
    Primary tumor site
     Cancer of unknown primary65.147.4–82.70.0070.004
     Lung46.234.1–58.30.3 (0.1–0.7)0.004
     Midgut77.861.0–94.60.7 (0.3–1.6)0.344
     Others65.731.3–100.10.3 (0.1–0.7)0.008
     Pancreas54.449.3–59.60.4 (0.2–1.0)0.041
     Rectum55.450.3–60.40.5 (0.2–1.0)0.063
     Stomach46.933.3–60.50.6 (0.2–1.5)0.239
    • View popup
    TABLE 4

    Univariate and Multivariate Analyses of Potential Factors Contributing to OS, Part 2

    OS (mo)Multivariate analysis
    FactorsMedian95% CIUnivariate analysis (P)HR and 95% CIP
    Liver tumor burden on 18F-FDG PET
     0 lesions75.665.5–85.6<0.0010.034
     1 lesion55.436.9–73.91.7 (0.6–5.2)0.338
     2 to ≤5 lesions47.140.5–53.71.2 (0.4–3.8)0.712
     >5 lesions43.735.4–52.02.2 (0.7–6.4)0.157
     Not assessed54.633.7–75.52.3 (0.8–7.0)0.127
    Bone tumor burden on 18F-FDG PET
     0 lesions61.654.9–68.30.004
     1 lesion56.029.6–82.4
     2 to ≤5 lesions41.925.1–58.8
     >5 lesions43.419.2–67.7
     Not assessed32.6—
    Lymph node tumor burden on 18F-FDG PET
     0 lesions63.856.3–71.40.0060.035
     1 lesion51.634.6–68. 51.4 (0.5–4.1)0.540
     2 to ≤5 lesions46.237.2–55.31.7 (0.6–5.2)0.344
     >5 lesions37.410.0–64.71.8 (0.6–5.4)0.293
     Not assessed86.623.7–149.64.4 (1.3–15.3)0.018
    Grading of PRRT
     2 to ≤3 cycles33.2725.0–41.3<0.001<0.001
     4 to ≤5 cycles51.644.5–58.77.9 (3.9–15.9)<0.001
     6 to ≤7 cycles68.961.8–76.14.7 (2.6–8.4)<0.001
     8 to ≤10 cycles122.584.8–160.33.0 (1.8–5.0)<0.001
    Cumulative activity (GBq)
     Activity ≤1526.013.8–38.2<0.0010.038
     15< activity ≤2552.745.4–59.91.1 (0.6–2.0)0.745
     25< activity ≤3561.154.9–67.30.7 (0.4–1.1)0.084
     Activity >3577.866.0–89.60.8 (0.6–1.2)0.379
    • View popup
    TABLE 5

    Univariate and Multivariate Analyses of Potential Factors Contributing to PFS, Part 1

    PFS (mo)Multivariate analysis
    FactorsMedian95% CIUnivariate analysis (P)HR and 95% CIP
    All patients19.617.6–21.7
    Age
     y ≤5025.019.4–30.50.281
     50< y ≤6018.412.8–23.9
     60< y ≤7017.915.1–20.7
     70< y ≤8022.416.8–28.0
    Grading
     Grade 123.015.9–30.20.0030.039
     Grade 218.915.2–22.61.2 (0.9–1.5)0.150
     Grade 37.50.0–20.12.1 (1.3–3.4)0.003
     Not assessed19.813.8–25.71.1 (0.9–1.5)0.426
    18F-FDG PET uptake
     Positive18.515.9–21.10.0020.007
     Negative24.119.9–28.30.7 (0.5–0.9)
    Primary tumor site
     Cancer of unknown primary11.46.5–16.20.011
     Lung10.65.0–16.1
     Midgut22.617.2–28.0
     Others9.12.7–15.5
     Pancreas25.821.8–29.8
     Rectum19.911.8–27.9
     Stomach24.618.9–30.4
    • View popup
    TABLE 6

    Univariate and Multivariate Analyses of Potential Factors Contributing to PFS, Part 2

    PFS (mo)Multivariate analysis
    FactorsMedian95% CIUnivariate analysis (P)HR and 95% CIP
    Liver tumor burden on 18F-FDG PET
     0 lesions20.817.4–24.10.034
     1 lesion27.820.9–34.7
     2 to ≤5 lesions16.211.5–20.9
     >5 lesions17.914.1–21.7
     Not assessed28.20.0–58.7
    Bone tumor burden on 18F-FDG PET
     0 lesions22.419.3–25.5<0.0010.001
     1 lesion13.31.4–25.11.0 (0.2–4.1)0.982
     2 to ≤5 lesions10.58.4–12.51.7 (0.4–7.4)0.479
     >5 lesions11.50.0–24.92.2 (0.5–9.4)0.304
     Not assessed12.0—1.2 (0.3–5.2)0.848
    Lymph node tumor burden on 18F-FDG PET
     0 lesions21.618.6–24.7<0.0010.050
     1 lesion17.910.9–25.01.2 (0.5–3.1)0.587
     2 to ≤5 lesions15.412.3–18.61.3 (0.5–3.4)0.552
     >5 lesions6.54.5–8.51.3 (0.5–3.3)0.563
     Not assessed37.27.1–67.33.5 (1.2–10.1)0.019
    Lung tumor burden on 18F-FDG PET
     0 lesions19.917.5–22.3<0.001
     1 lesion18.416.5–20.3
     2 to ≤5 lesions3.70.0–21.3
     >5 lesions5.31.5–9.2
    Grading of PRRT
     2 to ≤3 cycles13.68.6–18.50.907
     4 to ≤5 cycles18.015.2–20.8
     6 to ≤7 cycles25.020.9–29.2
     8 to ≤10 cycles26.816.7–36.8

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Journal of Nuclear Medicine: 61 (11)
Journal of Nuclear Medicine
Vol. 61, Issue 11
November 1, 2020
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Prognostic Value of 18F-FDG PET/CT in a Large Cohort of Patients with Advanced Metastatic Neuroendocrine Neoplasms Treated with Peptide Receptor Radionuclide Therapy
Jingjing Zhang, Qingxing Liu, Aviral Singh, Christiane Schuchardt, Harshad R. Kulkarni, Richard P. Baum
Journal of Nuclear Medicine Nov 2020, 61 (11) 1560-1569; DOI: 10.2967/jnumed.119.241414

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Prognostic Value of 18F-FDG PET/CT in a Large Cohort of Patients with Advanced Metastatic Neuroendocrine Neoplasms Treated with Peptide Receptor Radionuclide Therapy
Jingjing Zhang, Qingxing Liu, Aviral Singh, Christiane Schuchardt, Harshad R. Kulkarni, Richard P. Baum
Journal of Nuclear Medicine Nov 2020, 61 (11) 1560-1569; DOI: 10.2967/jnumed.119.241414
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