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Prostate-specific membrane antigen (PSMA)–targeted radiopharmaceutical therapy with [¹⁷⁷Lu]Lu-PSMA-617 has reshaped the management of metastatic castration-resistant prostate cancer (mCRPC). This study aimed to assess the added prognostic value of [¹⁸F]FDG PET beyond [⁶⁸Ga]Ga-PSMA-11 PET as pretreatment imaging and to develop an overall survival (OS) nomogram for patients with mCRPC who were treated with [¹⁷⁷Lu]Lu-PSMA-617. Methods: From February 2022 to November 2023, all patients with mCRPC treated with at least 1 cycle of [¹⁷⁷Lu]Lu-PSMA-617 were analyzed. Baseline [⁶⁸Ga]Ga-PSMA-11 and [¹⁸F]FDG PET parameters (SUVmax, SUVmean, total metabolic tumor volume [TMTV], and total lesion activity) were extracted for both tracers. OS was modeled using 2 hierarchical least absolute shrinkage and selection operator Cox models: clinical covariates plus [⁶⁸Ga]Ga-PSMA-11 PET (M-PSMA) and clinical covariates plus [⁶⁸Ga]Ga-PSMA-11 PET plus [¹⁸F]FDG PET (M-PSMA + FDG). Model discrimination was assessed using the optimism-corrected Harrell concordance index (C-index), whereas model improvement was assessed with changes in the C-index. Results: The study included 99 patients with mCRPC, and the median OS was 14 mo (95% CI, 11.7–18.2 mo). In M-PSMA, the [⁶⁸Ga]Ga-PSMA-11 PET SUVmean was the only significant imaging parameter (hazard ratio, 0.897; 95% CI, 0.852–0.945; P < 0.001). The addition of TMTV [¹⁸F]FDG PET in M-PSMA + FDG yielded a modest improvement in prognostic performance (ΔC-index, 0.010; 95% CI, −0.021 to 0.044) but a refined risk prediction for patients with a high TMTV [¹⁸F]FDG burden. The final model was used to construct a nomogram for predicting 12-mo OS probability. Conclusion: Quantitative [⁶⁸Ga]Ga-PSMA-11 PET parameters provide strong prognostic stratification in patients with mCRPC who were treated with [¹⁷⁷Lu]Lu-PSMA-617. Tumor burden, as measured on [¹⁸F]FDG PET, adds incremental prognostic information beyond [⁶⁸Ga]Ga-PSMA-11 PET, resulting in a modest improvement in risk prediction and potential refinement of prognosis in selected high-risk patients.
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Bekkhoucha et al. (2026) studied this question.
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