Baseline Imaging Derived Predictive Factors of Response Following [<sup>177</sup>Lu]Lu-PSMA-617 Therapy in Salvage Metastatic Castration-Resistant Prostate Cancer: A Lesion- and Patient-Based Analysis
2022
Esmée C. A. van der Sar | Adinda J. S. Kühr | Sander C. Ebbers | Andrew M. Henderson | Bart de Keizer | Marnix G. E. H. Lam | Arthur J. A. T. Braat
Earlier studies have mostly identified pre-therapeutic clinical and laboratory parameters for the prediction of treatment response to [<sup>177</sup>Lu]Lu-PSMA-617 in metastatic castration resistant prostate cancer patients (mCRPC). The current study investigated whether imaging-derived factors on baseline [<sup>68</sup>Ga]Ga-PSMA-11 PET/CT can potentially predict the response after two cycles of [<sup>177</sup>Lu]Lu-PSMA-617 treatment, in a lesion- and patient-based analysis in men with mCRPC. Included patients had histologically proven mCRPC and a [<sup>68</sup>Ga]Ga-PSMA-11 PET/CT before and after two cycles of [<sup>177</sup>Lu]Lu-PSMA-617 treatment. The imaging-based response was evaluated on lesion-level (standardized uptake value (SUV) reduction) and patient-level (total lesion PSMA (TL-PSMA) reduction). In the lesion-level analysis, a clear relationship was found between SUV<sub>peak/max</sub> and the imaging-based response to [<sup>68</sup>Ga]Ga-PSMA-11 PET/CT (most avid lesion SUV<sub>peak/max</sub> ≥ 30% reduction) (<i>p</i> < 0.001), with no significant difference in cut-off values between different sites of metastases (i.e., lymph node, bone or visceral metastasis). In patient-level analysis, baseline PSA and SUV<sub>peak</sub> values of most avid metastasis were significantly associated with imaging-based response (TL-PSMA ≥ 30% reduction) (<i>p</i> = 0.019 and <i>p</i> = 0.015). In pre-treatment with [<sup>68</sup>Ga]Ga-PSMA-11 PET/CT, a clear accumulation-response relationship in lesion-level was found for SUV<sub>peak/max</sub> in men with mCRPC receiving two cycles of [<sup>177</sup>Lu]Lu-PSMA-617 treatment. The SUV<sub>peak</sub> of the most avid lesion was the only image-derived factor predictive of the imaging-based response at the patient-level.
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