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PSMA PET/CT-derived Tumor Volume for Predicting Outcomes in Patients with Metastatic Castration-Resistant Prostate
Alireza Ghodsi1, Lukas Owens2, Ridvan Arda Demirci1,3
1Department of Radiology, University of Washington, Seattle, Wash.
Total tumor volume (TTV) improves prediction models for metastatic castration-resistant prostate cancer (mCRPC) patients receiving lutetium 177 prostate-specific membrane antigen-617 (Lu-PSMA) therapy. This enhances prognostic accuracy for overall survival and progression-free survival.
Area of Science:
- Oncology
- Radiopharmaceuticals
- Medical Imaging
Background:
- Accurate prediction of treatment response in metastatic castration-resistant prostate cancer (mCRPC) is crucial for guiding lutetium 177 prostate-specific membrane antigen-617 (Lu-PSMA) therapy selection.
- Existing prediction models for Lu-PSMA therapy require validation and potential enhancement for improved patient stratification.
Purpose of the Study:
- To evaluate the added predictive value of total tumor volume (TTV) derived from prostate-specific membrane antigen PET/CT in existing models for Lu-PSMA therapy response.
- To compare the discriminatory ability of TTV against the number of metastases in predicting patient outcomes.
Main Methods:
- External validation of previously developed prediction models using baseline clinical and imaging variables in 168 mCRPC patients treated with Lu-PSMA.
- Re-estimation of prediction models for overall survival (OS), prostate-specific antigen progression-free survival (PSA-PFS), and PSA50 response, incorporating TTV or continuous number of metastases.
- Assessment of model performance using the concordance index (C index).
Main Results:
- Original models showed moderate predictive accuracy (C indexes: OS 0.70, PSA-PFS 0.68, PSA50 0.72).
- Inclusion of TTV significantly improved the prediction model for OS (C index increase of 0.04, P = .002).
- Higher TTV was associated with shorter OS, shorter PSA-PFS, and lower PSA50 response, outperforming the number of metastases as a predictor.
Conclusions:
- Previously established models effectively predict outcomes for mCRPC patients undergoing Lu-PSMA therapy.
- Incorporating TTV into prediction models significantly enhances their discriminatory ability for OS, PSA-PFS, and PSA50 compared to using the number of metastases.
- TTV is a valuable imaging biomarker for predicting treatment response and survival in patients with mCRPC receiving Lu-PSMA therapy.
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