Skip to main content

Main menu

  • Home
  • Content
    • Current
    • Ahead of print
    • Past Issues
    • JNM Supplement
    • SNMMI Annual Meeting Abstracts
    • Continuing Education
    • JNM Podcasts
  • Subscriptions
    • Subscribers
    • Institutional and Non-member
    • Rates
    • Journal Claims
    • Corporate & Special Sales
  • Authors
    • Submit to JNM
    • Information for Authors
    • Assignment of Copyright
    • AQARA requirements
  • Info
    • Reviewers
    • Permissions
    • Advertisers
  • About
    • About Us
    • Editorial Board
    • Contact Information
  • More
    • Alerts
    • Feedback
    • Help
    • SNMMI Journals
  • SNMMI
    • JNM
    • JNMT
    • SNMMI Journals
    • SNMMI

User menu

  • Subscribe
  • My alerts
  • Log in
  • My Cart

Search

  • Advanced search
Journal of Nuclear Medicine
  • SNMMI
    • JNM
    • JNMT
    • SNMMI Journals
    • SNMMI
  • Subscribe
  • My alerts
  • Log in
  • My Cart
Journal of Nuclear Medicine

Advanced Search

  • Home
  • Content
    • Current
    • Ahead of print
    • Past Issues
    • JNM Supplement
    • SNMMI Annual Meeting Abstracts
    • Continuing Education
    • JNM Podcasts
  • Subscriptions
    • Subscribers
    • Institutional and Non-member
    • Rates
    • Journal Claims
    • Corporate & Special Sales
  • Authors
    • Submit to JNM
    • Information for Authors
    • Assignment of Copyright
    • AQARA requirements
  • Info
    • Reviewers
    • Permissions
    • Advertisers
  • About
    • About Us
    • Editorial Board
    • Contact Information
  • More
    • Alerts
    • Feedback
    • Help
    • SNMMI Journals
  • View or Listen to JNM Podcast
  • Visit JNM on Facebook
  • Join JNM on LinkedIn
  • Follow JNM on Twitter
  • Subscribe to our RSS feeds
Research ArticleClinical Investigation

Antihormonal-Treatment Status Affects 68Ga-PSMA-HBED-CC PET Biodistribution in Patients with Prostate Cancer

Kilian Kluge, David Haberl, Holger Einspieler, Sazan Rasul, Sebastian Gutschmayer, Lukas Kenner, Gero Kramer, Bernhard Grubmüller, Shahrokh Shariat, Alexander Haug and Marcus Hacker
Journal of Nuclear Medicine September 2023, jnumed.123.265980; DOI: https://doi.org/10.2967/jnumed.123.265980
Kilian Kluge
1Department of Biomedical Imaging and Image-Guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Vienna, Austria;
2Christian Doppler Laboratory for Applied Metabolomics, Medical University of Vienna, Vienna, Austria;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
David Haberl
1Department of Biomedical Imaging and Image-Guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Vienna, Austria;
2Christian Doppler Laboratory for Applied Metabolomics, Medical University of Vienna, Vienna, Austria;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Holger Einspieler
1Department of Biomedical Imaging and Image-Guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Vienna, Austria;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Sazan Rasul
1Department of Biomedical Imaging and Image-Guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Vienna, Austria;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Sebastian Gutschmayer
3QIMP Team, Medical University of Vienna, Vienna, Austria;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Lukas Kenner
2Christian Doppler Laboratory for Applied Metabolomics, Medical University of Vienna, Vienna, Austria;
4Department of Pathology, Medical University of Vienna, Vienna, Austria;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Gero Kramer
5Department of Urology, Medical University of Vienna, Vienna, Austria;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Bernhard Grubmüller
5Department of Urology, Medical University of Vienna, Vienna, Austria;
6Department of Urology and Andrology, University Hospital Krems, Krems, Austria;
7Karl Landsteiner University of Health Sciences, Krems, Austria;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Shahrokh Shariat
5Department of Urology, Medical University of Vienna, Vienna, Austria;
8Karl Landsteiner Institute of Urology and Andrology, Vienna, Austria;
9Department of Urology, University of Texas Southwestern Medical Center, Dallas, Texas;
10Division of Urology, Department of Special Surgery, University of Jordan, Amman, Jordan;
11Department of Urology, Second Faculty of Medicine, Charles University, Prague, Czech Republic; and
12Department of Urology, Weill Cornell Medical College, New York, New York
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Alexander Haug
1Department of Biomedical Imaging and Image-Guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Vienna, Austria;
2Christian Doppler Laboratory for Applied Metabolomics, Medical University of Vienna, Vienna, Austria;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Marcus Hacker
1Department of Biomedical Imaging and Image-Guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Vienna, Austria;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • Article
  • Figures & Data
  • Info & Metrics
  • PDF
Loading

Article Figures & Data

Figures

  • Tables
  • Figure
    • Download figure
    • Open in new tab
    • Download powerpoint
  • FIGURE 1.
    • Download figure
    • Open in new tab
    • Download powerpoint
    FIGURE 1.

    CONSORT (Consolidated Standards of Reporting Trials) diagram. AR = androgen receptor; 5α- = 5α-reductase.

  • FIGURE 2.
    • Download figure
    • Open in new tab
    • Download powerpoint
    FIGURE 2.

    Violin plots of significantly different exemplary PSMA uptake levels of normal organs according to ADT treatment status. White dots indicate median value. No = control; Yes = ADT.

  • FIGURE 3.
    • Download figure
    • Open in new tab
    • Download powerpoint
    FIGURE 3.

    Violin plots of PSMA uptake levels of normal organs in ADT group according to different ADT runtimes and control group. Only significant values after post hoc testing are displayed as bars on figures. Nonsignificant P values are displayed in figure heading. White dots indicate median values.

  • FIGURE 4.
    • Download figure
    • Open in new tab
    • Download powerpoint
    FIGURE 4.

    Violin plots of PSMA uptake levels according to prior cytotoxic treatments (177Lu-PSMA RLT or chemotherapy) in normal organs. White dots indicate median value. Yes = prior systemic therapies; No = no prior systemic therapy.

Tables

  • Figures
    • View popup
    TABLE 1.

    Demographic and Clinical Patient Data

    VariableControl (n = 56)ADT (n = 56)P
    Age (y)69.6 (±7.2)70.4 (±8.0)0.58
    Weight (kg)86.2 (±12.6)83.4 (±13.6)0.31
    Tracer dose (MBq)181.8 (±18.1)183.4 (±19.4)0.59
    PSA (μg/dL)*13.0 (±46.1)7.1 (±12.6)0.06
    GFR (mL/min)†78.4 (±15.5)81.0 (±14.2)0.39
    MTV (cm3)3.3 (±5.3)5.0 (±6.2)0.20
    PSMA-positive lesions
     Prostate21 (37.5%)21 (37.5%)>0.99
     Lymph nodes19 (33.9%)14 (25.0%)0.41
     Bone8 (14.3%)18 (32.1%)0.04
     Viscera (lung)2 (3.6%)1 (1.8%)>0.99
    Mean lesional SUVmean
     Prostate13.1 (±11.4)10.8 (±8.4)0.43
     Lymph nodes7.5 (±4.3)10.39 (±6.3)0.13
     Bone4.9 (±2.2)9.4 (±12.5)0.84
     Viscera (lung)4.79 (4.0–5.6)7.7—‡
    Mean ADT runtime (m)—24.0 ± 34.9
    Runtimes binned (m)
     1–6—15 (26.8%)
     >6—41 (73.2%)
    ADT drug class
     GnRH analog
      Leuprorelin—38 (67.9%)
      Triptorelin—2 (3.6%)
     GnRH antagonist
      Degarelix—16 (28.6%)
    Previous cytotoxic treatments20 (35.7%)
     CHT—19 (33.9%)
     177Lu-PSMA—3 (5.3%)
    • ↵* Missing data for control (n = 8) and ADT group (n = 4).

    • ↵† Missing data for control (n = 9) and ADT group (n = 8).

    • ↵‡ Statistical testing not feasible because of sample size in control group (n = 2; data as mean and range) and ADT group (n = 1).

    • PSA = prostate-specific antigen; GFR = glomerular filtration rate; GnRH = gonadotropin-releasing hormone; CHT = chemotherapy.

    • Qualitative data are number and percentages; continuous data are mean and SD.

    • View popup
    TABLE 2.

    PSMA Uptake Levels of Normal Organs According to Antihormonal Treatment Status

    VariableControl (n = 56)ADT (n = 56)DifferenceP
    Kidney SUVmean*†29.5 ± 7.2; 95% CI, 27.57–31.42; range, 16.59–52.1221.61 ± 8.1; 95% CI, 19.44–23.78; range, 5.18–37.36Δyes − no = −7.89; 95% CI, −10.73 to −5.04<0.001
    Kidney SUVpeak*54.76 ± 14.29; 95% CI, 50.94–58.59; range, 26.65–93.7540.64 ± 16.49; 95% CI, 36.23–45.06; range, 6.82–77.99Δyes − no = −14.12; 95% CI, −19.85 to −8.39<0.001
    Liver SUVmean‡4.8 ± 1.31; 95% CI, 4.45–5.15; range, 2.15–8.634.44 ± 1.65; 95% CI, 3.99–4.88; range, 0.92–10.39ΔADT − control = −0.14; 95% CI, −0.86 to 0.100.12
    Liver SUVpeak‡18.06 ± 14.75; 95% CI, 14.11–22.01; range, 3.81–55.811.18 ± 8.97; 95% CI, 8.78–13.58; range, 1.19–37.64ΔADT − control = −2.3; 95% CI, −5.72 to −0.930.003
    Spleen SUVmean‡6.08 ± 2.04; 95% CI, 5.53–6.62; range, 2.55–11.595.86 ± 2.42; 95% CI, 5.21–6.51; range, 0.782–14.56Δyes − no = −0.49; 95% CI, −1.5 to 0.990.46
    Spleen SUVpeak‡14.76 ± 11.15; 95% CI, 11.78–17.75; range, 4.81–53.7911.56 ± 9.61; 95% CI, 8.99–14.13; range, 1.14–52.34ΔADT − control = −1.27; 95% CI, −3.61 to −0.160.033
    Salivary gland SUVmean‡§11.34 ± 2.69; 95% CI, 10.62–12.06; range, 4.41–17.059.93 ± 3.17; 95% CI, 9.07–10.8; range, 1.18–18.02ΔADT − control = −1.04; 95% CI, −2.48 to −0.130.027
    Salivary gland SUVpeak*20.0 ± 5.02; 95% CI, 18.65–21.34; range, 7.53–34.7616.69 ± 5.61; 95% CI, 15.16–18.22; range, 1.7–30.42ΔADT − control = −3.31; 95% CI, −5.3 to −1.310.001
    • ↵* t test data as mean ± SD.

    • ↵† Two patients underwent unilateral nephrectomy.

    • ↵‡ Mann–Whitney test data as median and IQR.

    • ↵§ Two scans (2/56, 4%) did not include salivary glands in field of view.

    • View popup
    TABLE 3.

    Multivariate Regression Analysis of Relationship Between Renal, Hepatic, Splenic, and Salivary Gland PSMA Uptake and Explanatory Variables MTV, Glomerular Filtration Rate, and ADT Status

    Predicted endpointVariableOdds ratioP
    Kidney SUVmean
    Intercept17.78; 9.28 to 26.27<0.0001
    MTV (cm3)−0.218; −0.495 to 0.05850.121
    GFR (mL/min)0.156; 0.0531 to 0.2590.0034
    ADT (0 = no, 1 = yes)−7.95; −11.06 to −4.84<0.0001
    Liver SUVpeak
    Intercept10.94; −1.06 to 22.940.0735
    MTV (cm3)0.0389; −0.301 to 0.3790.821
    GFR (mL/min)0.09; −0.0606 to 0.2410.238
    ADT (0 = no, 1 = yes)−7.85; −11.78 to −3.91<0.0001
    Spleen SUVpeak
    Intercept6.36; −5.73 to 18.450.299
    MTV (cm3)0.295; −0.114 to 0.7040.156
    GFR (mL/min)0.104; −0.0615 to 0.270.214
    ADT (0 = no, 1 = yes)−5.83; −9.95 to −1.70.006
    SM SUVmean
    Intercept12.2; 8.67 to 15.73<0.0001
    MTV (cm3)−0.0679; −0.183 to 0.04720.244
    GFR (mL/min)−0.00771; −0.0506 to 0.03520.722
    ADT (0 = no, 1 = yes)−1.47; −2.76 to −0.1670.0274
    • GFR = glomerular filtration rate; SM = Submandibular gland.

    • Odds ratio is followed by 95% CI.

PreviousNext
Back to top

In this issue

Journal of Nuclear Medicine: 66 (5)
Journal of Nuclear Medicine
Vol. 66, Issue 5
May 1, 2025
  • Table of Contents
  • Table of Contents (PDF)
  • About the Cover
  • Index by author
  • Complete Issue (PDF)
Print
Download PDF
Article Alerts
Sign In to Email Alerts with your Email Address
Email Article

Thank you for your interest in spreading the word on Journal of Nuclear Medicine.

NOTE: We only request your email address so that the person you are recommending the page to knows that you wanted them to see it, and that it is not junk mail. We do not capture any email address.

Enter multiple addresses on separate lines or separate them with commas.
Antihormonal-Treatment Status Affects 68Ga-PSMA-HBED-CC PET Biodistribution in Patients with Prostate Cancer
(Your Name) has sent you a message from Journal of Nuclear Medicine
(Your Name) thought you would like to see the Journal of Nuclear Medicine web site.
Citation Tools
Antihormonal-Treatment Status Affects 68Ga-PSMA-HBED-CC PET Biodistribution in Patients with Prostate Cancer
Kilian Kluge, David Haberl, Holger Einspieler, Sazan Rasul, Sebastian Gutschmayer, Lukas Kenner, Gero Kramer, Bernhard Grubmüller, Shahrokh Shariat, Alexander Haug, Marcus Hacker
Journal of Nuclear Medicine Sep 2023, jnumed.123.265980; DOI: 10.2967/jnumed.123.265980

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Share
Antihormonal-Treatment Status Affects 68Ga-PSMA-HBED-CC PET Biodistribution in Patients with Prostate Cancer
Kilian Kluge, David Haberl, Holger Einspieler, Sazan Rasul, Sebastian Gutschmayer, Lukas Kenner, Gero Kramer, Bernhard Grubmüller, Shahrokh Shariat, Alexander Haug, Marcus Hacker
Journal of Nuclear Medicine Sep 2023, jnumed.123.265980; DOI: 10.2967/jnumed.123.265980
Twitter logo Facebook logo LinkedIn logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One
Bookmark this article

Jump to section

  • Article
    • Visual Abstract
    • Abstract
    • MATERIALS AND METHODS
    • RESULTS
    • DISCUSSION
    • CONCLUSION
    • DISCLOSURE
    • Footnotes
    • REFERENCES
  • Figures & Data
  • Info & Metrics
  • PDF

Related Articles

  • No related articles found.
  • PubMed
  • Google Scholar

Cited By...

  • No citing articles found.
  • Google Scholar

More in this TOC Section

  • First-in-Human Study of 18F-Labeled PET Tracer for Glutamate AMPA Receptor [18F]K-40: A Derivative of [11C]K-2
  • Detection of HER2-Low Lesions Using HER2-Targeted PET Imaging in Patients with Metastatic Breast Cancer: A Paired HER2 PET and Tumor Biopsy Analysis
  • [11C]Carfentanil PET Whole-Body Imaging of μ-Opioid Receptors: A First in-Human Study
Show more Clinical Investigation

Similar Articles

Keywords

  • androgen deprivation therapy
  • prostate cancer
  • biodistribution
  • PSMA PET
SNMMI

© 2025 SNMMI

Powered by HighWire