TRV-2026-1964Certified recordPeer-reviewed

Machine Learning Models Combining [<sup>68</sup>Ga]Ga-PSMA-11 PET Radiomics and Clinical Features to Predict Overall Survival for Metastatic Castration-resistant Prostate Cancer Treated with [<sup>177</sup>Lu]Lu-PSMA Radioligand Therapy

Purpose Metastatic castration-resistant prostate cancer (mCRPC) remains incurable despite recent therapeutic advances. [ 177 Lu]Lu-PSMA RLT (lutetium-177 labelled prostate-specific membrane antigen radioligand therapy) provides meaningful clinical benefit in selected patients. However, ∼30% of the patients do not respond to [ 177 Lu]Lu-PSMA RLT. Although several baseline prognostic factors are well known, reliable pretherapeutic predictive biomarkers are still lacking. We developed and compared several predictiv…

Health · Good Space — documented gain · certified 2026-10-20 · v1 · article view · machine-readable

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Multimodal machine learning models using pretreatment PET radiomics plus clinical data predicted 12-month survival in mCRPC patients on Lu-PSMA therapy, with a best AUC of 0.778, which could help stratify patients.

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The study was retrospective and conducted at a single center with 102 patients, which limits how far the findings can be generalized.

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Truvace Impact Record TRV-2026-1964, v1: “Machine Learning Models Combining [<sup>68</sup>Ga]Ga-PSMA-11 PET Radiomics and Clinical Features to Predict Overall Survival for Metastatic Castration-resistant Prostate Cancer Treated with [<sup>177</sup>Lu]Lu-PSMA Radioligand Therapy.” Truvace, 2026-10-20. /record/TRV-2026-1964 (accessed at citation time). sha256 345e7c81d27e1fcf…

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