3 D nnU Net Deep Learning Segmentation of Ga 68 PSMA 11 PET/CT: Automated Prognostic Biomarker Extraction in Metastatic Castration Resistant Prostate Cancer (EANM 2026) - Sep 29, 2026 - Abstract #OP-551; Pres time: Oct 20, 2026; 08:00 AM - 09:30 AM; Location: Hall B; "Materials and In this retrospective study, 88 patients with metastatic castration-resistant prostate cancer (mCRPC) treated with Lu-177-PSMA-617 between 2016 and 2024 were included if a pre-therapeutic Ga-68-PSMA-11 PET/CT was available... DL-based segmentation enables fully automated, scalable, time-efficient, and reproducible extraction of prognostic IBBs in mCRPC. Despite systematic differences in absolute volumes and method-specific cut-offs, prognostic stratification is preserved across segmentation approaches. These findings support the robustness of IBBs and the potential of DL-based workflows for both research and clinical applications, pending external validation."
Biomarker • Metastases • Castration-Resistant Prostate Cancer • Genito-urinary Cancer • Oncology • Prostate Cancer • Solid Tumor
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J. Mikolajczak; A. Szabo; D. Waldmannstetter; D. Schmidt; J. Moosbauer; D. Weidt; D. Hellwig
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