Machine Learning Models Combining [ 68 Ga]Ga-PSMA-11 PET Radiomics and Clinical Features to Predict Overall Survival for Metastatic Castration-resistant Prostate Cancer Treated with [ 177 Lu]Lu-PSMA Radioligand Therapy.
PET imaging alone predicted prostate cancer patient outcomes nearly as well as combined clinical data, streamlining risk assessment.
This retrospective cohort and prognostic model study evaluated This study highlights the strong predictive potential of PSMA PET imaging for patient stratification in a real-world setting. The authors report that the model leveraging PET data alone achieved strong performance, with an AUC comparable to the clinical model (0,715 vs 0,766).
What the study was
- Study design
- Retrospective cohort and prognostic model study
- Sample size
- 102
- Category
- Diagnostics
- Maturity
- Exploratory
- Journal
- European urology oncology
Why it surfaced
7/10: Retrospective cohort and prognostic model study with direct relevance to AI/ML in clinical diagnostics and imaging; scoring remains conservative because triage used the PubMed abstract without full-text review.
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