PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
February 11, 2026European Journal of Nuclear Medicine and Molecular Imaging0 citationsOpen Access

PET-based risk stratification for adverse events under 225AcAc-PSMA radioligand therapy

View Full Paper
LWLiam WidjajaSKSophie C. KunteFGFranz J. Gildehaus

Key Points

  • Identify predictive parameters for renal and hematological adverse events in patients undergoing radioligand therapy for metastatic castration-resistant prostate cancer.
  • Retrospective analysis of 26 patients undergoing 225Ac-PSMA-I&T RLT
  • Pretherapeutic PET/CT utilized to assess renal standardized uptake values
  • Technetium-99m renal scintigraphy conducted for tubular extraction rates
  • Correlations analyzed between laboratory values (eGFR, Hb) and therapy outcomes
  • eGFR and Hb significantly declined during therapy (P = 0.0018 and P = 0.0002)
  • 31% of patients experienced renal events, and 38% developed grade 3 anemia
  • PET-derived standardized uptake values correlated with eGFR and tubular extraction rates (r ≥ 0.413, P ≤ 0.036)
  • Baseline hemoglobin was the strongest predictor of grade 3 anemia (P = 0.002)

Abstract

Actinium-225 prostate-specific membrane antigen radioligand therapy ( 225 AcAc-PSMA RLT) is a promising salvage option for metastatic castration-resistant prostate cancer (mCRPC). This study aimed to identify predictive parameters for renal and hematological adverse events. Twenty-six patients undergoing 225 AcAc-PSMA-I each P ≤ 0.037) also contributed. In line, baseline Hb emerged as the strongest predictor of anemia-free survival ( P = 0.0007; osseous TV, P = 0.024). PET-derived renal SUV and osseous tumor volume are promising predictive markers for renal and hematological adverse events during 225 AcAc-PSMA-I&T RLT. These findings may support pretherapeutic risk stratification in this vulnerable patient population.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Widjaja et al. (2026) studied this question.

synapsesocial.com/papers/698be001058ab1890a13ba7ahttps://doi.org/10.1007/s00259-026-07788-4
Ask AI
Helpful
Bookmark
Share
View Full Paper