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Research ArticleClinical Investigation

Tumor Sink Effect in 68Ga-PSMA-11 PET: Myth or Reality?

Andrei Gafita, Hui Wang, Andrew Robertson, Wesley R. Armstrong, Raphael Zaum, Manuel Weber, Farid Yagubbayli, Clemens Kratochwil, Tristan R. Grogan, Kathleen Nguyen, Fernando Navarro, Rouzbeh Esfandiari, Isabel Rauscher, Bjoern Menze, David Elashoff, Ebrahim S. Delpassand, Ken Herrmann, Johannes Czernin, Michael S. Hofman, Jeremie Calais, Wolfgang P. Fendler and Matthias Eiber
Journal of Nuclear Medicine February 2022, 63 (2) 226-232; DOI: https://doi.org/10.2967/jnumed.121.261906
Andrei Gafita
1Ahmanson Translational Theranostics Division, Department of Molecular and Medical Pharmacology, UCLA, Los Angeles, California;
2Department of Nuclear Medicine, Klinikum rechts der Isar, Technical University Munich, Munich, Germany;
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Hui Wang
2Department of Nuclear Medicine, Klinikum rechts der Isar, Technical University Munich, Munich, Germany;
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Andrew Robertson
2Department of Nuclear Medicine, Klinikum rechts der Isar, Technical University Munich, Munich, Germany;
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Wesley R. Armstrong
1Ahmanson Translational Theranostics Division, Department of Molecular and Medical Pharmacology, UCLA, Los Angeles, California;
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Raphael Zaum
2Department of Nuclear Medicine, Klinikum rechts der Isar, Technical University Munich, Munich, Germany;
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Manuel Weber
3Department of Nuclear Medicine, University of Duisburg–Essen and German Cancer Consortium–University Hospital Essen, Essen, Germany;
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Farid Yagubbayli
2Department of Nuclear Medicine, Klinikum rechts der Isar, Technical University Munich, Munich, Germany;
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Clemens Kratochwil
4Department of Nuclear Medicine, Heidelberg University Hospital, Heidelberg, Germany;
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Tristan R. Grogan
5Department of Medicine Statistics Core, David Geffen School of Medicine, UCLA, Los Angeles, California;
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Kathleen Nguyen
1Ahmanson Translational Theranostics Division, Department of Molecular and Medical Pharmacology, UCLA, Los Angeles, California;
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Fernando Navarro
2Department of Nuclear Medicine, Klinikum rechts der Isar, Technical University Munich, Munich, Germany;
6Department of Informatics, Technical University Munich, Munich, Germany;
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Rouzbeh Esfandiari
7Excel Diagnostics and Nuclear Oncology Center, Houston, Texas;
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Isabel Rauscher
2Department of Nuclear Medicine, Klinikum rechts der Isar, Technical University Munich, Munich, Germany;
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Bjoern Menze
6Department of Informatics, Technical University Munich, Munich, Germany;
8Department of Quantitative Biomedicine, University of Zurich, Zurich, Switzerland; and
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David Elashoff
5Department of Medicine Statistics Core, David Geffen School of Medicine, UCLA, Los Angeles, California;
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Ebrahim S. Delpassand
7Excel Diagnostics and Nuclear Oncology Center, Houston, Texas;
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Ken Herrmann
3Department of Nuclear Medicine, University of Duisburg–Essen and German Cancer Consortium–University Hospital Essen, Essen, Germany;
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Johannes Czernin
1Ahmanson Translational Theranostics Division, Department of Molecular and Medical Pharmacology, UCLA, Los Angeles, California;
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Michael S. Hofman
9Prostate Cancer Theranostics and Imaging Centre of Excellence, Molecular Imaging and Therapeutic Nuclear Medicine, Peter MacCallum Cancer Centre, and Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, Victoria, Australia
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Jeremie Calais
1Ahmanson Translational Theranostics Division, Department of Molecular and Medical Pharmacology, UCLA, Los Angeles, California;
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Wolfgang P. Fendler
3Department of Nuclear Medicine, University of Duisburg–Essen and German Cancer Consortium–University Hospital Essen, Essen, Germany;
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Matthias Eiber
2Department of Nuclear Medicine, Klinikum rechts der Isar, Technical University Munich, Munich, Germany;
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  • FIGURE 1.
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    FIGURE 1.

    Study flowchart. mCRPC = metastatic castration-resistant prostate cancer; mHSPC = metastatic hormone-sensitive prostate cancer; Q = quintile.

  • FIGURE 2.
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    FIGURE 2.

    SUVmean of normal organs. Horizontal lines represent median value.

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    FIGURE 3.

    Examples of maximum-intensity-projection images of PSMA PET for each tumor load group. PSMA-positive tumor segmentation is highlighted in red.

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    FIGURE 4.

    SUVmean of normal organs stratified by tumor load.

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    TABLE 1.

    Characteristics of Patients

    CharacteristicsControl (n = 50)mHSPC (n = 81)mCRPC (n = 275)
    Age (y)71 (69–74)69 (63–72)72 (66–76)
    Weight (kg)86 (80–99)81 (75–92)80 (72–92)
    Injected activity (MBq)185 (183–196)128 (96–153)155 (112–195)
    Acquisition time (min)60 (55–66)65 (59–82)60 (53–67)
    PSA (ng/mL)*0.4 (0.2–0.8)4.0 (1–11)130 (37–431)
    PSMA-VOL (cm3)07 (2–37)563 (194–1,358)
    Site of disease on PSMA-PET
    Bone070 (86%)256 (93%)
    Lymph nodes034 (42%)202 (74%)
    Bone + lymph nodes027 (33%)183 (67%)
    Viscera†010 (12%)82 (30%)
    Bone + lymph nodes + viscera01 (1%)59 (22%)
    • *Data missing for 10 patients.

    • ↵†Viscera include lung, liver, rectum, pancreas, peritoneal, brain and adrenal.

    • mHSPC = metastatic hormone-sensitive prostate cancer; mCRPC = metastatic castration-resistant prostate cancer; PSA = prostate-specific antigen.

    • Qualitative data are number and percentage; continuous data are median and IQR.

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    TABLE 2.

    Comparison of PSMA-VOL Groups and 68Ga-PSMA Uptake in Normal Organs

    SUVmeanSUVmax
    OrganTumor load groupPSMA-VOL (cm3)MedianDifference from control (%)PMedianDifference from control (%)P
    Salivary glandControl011.0 (10.0–12.4)——21.8 (19.3–26.2)——
    Very low<2510.3 (8.3–13.7)−6.4 (−15.2, +3.4)0.18922.9 (18.3–29.5)+5.0 (−4.0, +14.2)0.585
    Low25–18911.0 (9.1–12.9)+0.5 (−9.8, +10.5)0.23921.9 (18.1–29.2)+0.5 (−9.1, +9.9)0.768
    Moderate189–53210.8 (9.1–12.0)−1.8 (−9.8, +5.1)0.19523.4 (20.1–29.0)+7.3 (−2.5, +18.0)0.352
    High532–1,3558.3 (6.6–10.3)−24.5 (−33.3, −17.0)<0.00118.3 (13.8–22.5)−16.0 (−7.2, −25.5)<0.001
    Very high>1,3556.8 (5.5–9.4)−38.1 (−47.8, −29.7)<0.00116.0 (11.2–23.0)−26.6 (−15.1, −38.9)<0.001
    KidneyControl034.7 (26.4–37.8)——59.8 (49.5–68.1)——
    Very low<2530.3 (23.0–35.8)−12.6 (−22.0, +2.2)0.12555.4 (43.8–69.5)−7.4 (−17.8, +3.1)0.394
    Low25–18926.7 (20.0–33.9)−23.0 (−34.1, −13.5)0.00152.6 (37.3–69.7)−12.0 (−22.9, −1.4)0.054
    Moderate189–53226.5 (19.3–32.8)−23.6 (−32.0, −15.2)<0.00154.2 (37.4–71.2)−9.4 (−12.5, +3.0)0.085
    High532–1,35524.0 (18.9–31.4)−30.8 (−42.1, −20.3)<0.00147.7 (35.2–65.3)−20.2 (−30.5, −9.8)0.005
    Very high>1,35520.8 (15.1–23.6)−40.0 (−50.3, −31.1)<0.00142.8 (31.4–52.8)−28.4 (−39.4, −18.0)<0.001
    LiverControl04.4 (3.6–5.5)——9.5 (8.2–11.2)——
    Very low<253.8 (3.2–5.2)−13.6 (−25.0, +1.6)0.07011.0 (8.5–12.4)15.8 (+2.4, +25.9)0.073
    Low25–1893.9 (3.1–4.5)−11.4 (−20.3, −3.0)0.01010.1 (7.5–11.6)+6.3 (−4.1, +15.2)0.886
    Moderate189–5323.9 (3.3–4.8)−11.4 (−22.0, −1.7)0.0339.9 (8.5–12.2)+4.2 (−9.8, +17.1)0.451
    High532–1,3553.7 (3.0–4.9)−15.9 (−25.9, −16.1)0.0089.3 (7.6–11.6)−2.1 (−11.8, +7.9)0.842
    Very high>1,3552.5 (1.8–3.5)−43.2 (−55.6, −30.8)<0.0017.8 (6.4–10.6)−17.9 (−30.0, −4.2)0.017
    SpleenControl06.3 (4.6–8.2)——10.3 (8.2–13.4)——
    Very low<255.5 (4.2–6.8)−12.7 (−25.5, +1.2)0.07410.9 (9.3–12.6)+5.8 (−6.1, +17.6)0.384
    Low25–1895.3 (4.5–7.6)−14.9 (−30.0, +2.4)0.17510.2 (8.2–13.7)−1.0 (−9.8, +8.0)0.888
    Moderate189–5325.9 (4.4–7.8)−6.3 (−18.9, +6.2)0.42211.0 (8.4–13.9)+6.8 (−6.2, +19.3)0.492
    High532–1,3554.8 (3.9–7.2)−23.8 (−37.3, −6.8)0.0129.2 (7.5–12.9)−10.7 (−23.9, +3.4)0.271
    Very high>1,3554.1 (3.3–6.0)−34.9 (−49.8, −21.3)<0.0019.1 (6.4–12.2)−11.7 (−24.4, +1.9)0.068
    • Data are median and IQR, or difference and 95% CI.

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Tumor Sink Effect in 68Ga-PSMA-11 PET: Myth or Reality?
Andrei Gafita, Hui Wang, Andrew Robertson, Wesley R. Armstrong, Raphael Zaum, Manuel Weber, Farid Yagubbayli, Clemens Kratochwil, Tristan R. Grogan, Kathleen Nguyen, Fernando Navarro, Rouzbeh Esfandiari, Isabel Rauscher, Bjoern Menze, David Elashoff, Ebrahim S. Delpassand, Ken Herrmann, Johannes Czernin, Michael S. Hofman, Jeremie Calais, Wolfgang P. Fendler, Matthias Eiber
Journal of Nuclear Medicine Feb 2022, 63 (2) 226-232; DOI: 10.2967/jnumed.121.261906

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Tumor Sink Effect in 68Ga-PSMA-11 PET: Myth or Reality?
Andrei Gafita, Hui Wang, Andrew Robertson, Wesley R. Armstrong, Raphael Zaum, Manuel Weber, Farid Yagubbayli, Clemens Kratochwil, Tristan R. Grogan, Kathleen Nguyen, Fernando Navarro, Rouzbeh Esfandiari, Isabel Rauscher, Bjoern Menze, David Elashoff, Ebrahim S. Delpassand, Ken Herrmann, Johannes Czernin, Michael S. Hofman, Jeremie Calais, Wolfgang P. Fendler, Matthias Eiber
Journal of Nuclear Medicine Feb 2022, 63 (2) 226-232; DOI: 10.2967/jnumed.121.261906
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