Abstract
Background This study aimed to evaluate the diagnostic performance of 68Ga-PSMA-11 PET/MRI in prostate cancer (PC) with biochemical recurrence (BCR) after radical prostatectomy (RP). It was also aimed to develop a nomogram to predict PET/MRI positivity. Methods The data of 140 PC patients who underwent 68Ga-PSMA-11 PET/MRI for BCR after RP were retrospectively analyzed. PSA, ISUP Gleason grades (GG), androgen deprivation therapy (ADT), and PSA doubling time (PSAdt) were recorded. Regression analysis was performed to determine the predictive factors for PET/MRI positivity. Regression coefficients were used to develop a nomogram in early BCR group (PSA < 1.0 ng/ml) and 100 bootstrap resamples were used for internal validation. Receiver operating characteristic analysis was used to evaluate the performance of model. Decision curve analysis (DCA) was implemented to quantify the clinical net benefit of nomogram. Results The overall detection rate was 75%. Detection rate was 100% in patients with PSA ≥ 1.0 ng/ml. In patients with early BCR (PSA < 1.0 ng/ml; n = 94), the detection rate was 62.8%. Prediction nomogram demonstrated a bootstrap corrected accuracy of 83%. In DCA, with a nomogram derived probability threshold ≥60%, the use of the nomogram would result in a net benefit gain of 36%. Conclusions If PSA level is ≥1.0 ng/ml in PC patients with BCR after RP, 68Ga-PSMA-11 PET/MRI has very high detection rates. In patients with PSA < 1.0 ng/ml, PSAdt seems to be the strongest predictive factor in the prediction of imaging positivity. Our nomogram provided good accuracy and it seems as an important tool in the best use of PET/MRI.
| Original language | English |
|---|---|
| Pages (from-to) | 710.e9-710.e20 |
| Journal | Urologic Oncology: Seminars and Original Investigations |
| Volume | 43 |
| Issue number | 12 |
| DOIs | |
| Publication status | Published - Dec 2025 |
| Externally published | Yes |
Bibliographical note
Publisher Copyright:© 2025 Elsevier Inc.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- Ga-PSMA-11
- Nomogram
- PET/MRI
- Prediction
- Prostate cancer
- Recurrence
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