ArticleRadiology2026
PSMA PET/CT-derived Tumor Volume for Predicting Outcomes in Patients with Metastatic Castration-Resistant Prostate Cancer Receiving
Article in Radiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Baseline PSMA PET/CT Biomarkers for Patient Selection in [Pharmaceuticals (Basel, Switzerland) · 2026Review
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Authors and funding
19 authors.
Funding
Abstract
Background Accurate prediction of the response of patients with metastatic castration-resistant prostate cancer (mCRPC) to lutetium 177 prostate-specific membrane antigen-617 (Lu-PSMA) therapy would be helpful for treatment selection. Purpose To evaluate the incremental value of total tumor volume (TTV) in prediction models developed for patients receiving Lu-PSMA. Materials and Methods Previously developed prediction models using baseline variables (time since diagnosis, chemotherapy status, hemoglobin, dichotomized number of metastases, tumor mean standardized uptake value, and bone and liver involvement) were externally validated in patients treated with Lu-PSMA between June 2022 and April 2024. The concordance index (ie, C index) for overall survival (OS), prostate-specific antigen (PSA) progression-free survival (PSA-PFS), and 50% or greater decline in PSA from baseline (PSA50) was assessed. The predictive value of prostate-specific membrane antigen PET/CT-derived TTV was evaluated by re-estimating previous models (Cox regression for OS and PSA-PFS; logistic regression for PSA50) and replacing the dichotomized number of metastases with the continuous number of metastases or TTV. Results Data from 168 patients (median age, 73 years [IQR, 68-78 years]) were analyzed. External validation of the original models achieved C indexes of 0.70 (95% CI: 0.64, 0.77) for OS, 0.68 (95% CI: 0.63, 0.73) for PSA-PFS, and 0.72 (95% CI: 0.64, 0.80) for PSA50. Replacing the dichotomized number of metastases with TTV increased the C index for OS by 0.04 (95% CI: 0.01, 0.07;
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