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Updated: Jun 10, 2025

Retzius-Sparing Robot-Assisted Radical Prostatectomy
Published on: May 19, 2022
Predictors of Persistent Prostate-Specific Antigen Persistence after Radical Prostatectomy.
Chenhao Guo1, Kangwei Zuo1, Qi Zhao1
1Department of Urology, Lanzhou University First Hospital, Lanzhou University, Lanzhou, China.
High levels of total PSA (tPSA) and free PSA (fPSA) at diagnosis, along with advanced clinical T stage, predict persistent prostate-specific antigen (PSA) after radical prostatectomy (RP). This finding aids in identifying patients at risk for recurrence.
Area of Science:
- Urology
- Oncology
- Medical Research
Background:
- Prostate-specific antigen (PSA) monitoring is crucial after radical prostatectomy (RP) for prostate cancer.
- Persistent PSA post-RP can indicate residual disease or recurrence.
- Identifying predictors of persistent PSA is essential for patient management and prognosis.
Purpose of the Study:
- To investigate the predictors of persistent prostate-specific antigen (PSA) after radical prostatectomy (RP).
- To establish a logistic regression equation for predicting the probability of persistent PSA.
Main Methods:
- Retrospective analysis of 212 prostate cancer patients who underwent RP between January 2019 and December 2022.
- Patients were categorized based on postoperative PSA levels (4-8 weeks) into <0.1 ng/mL and ≥0.1 ng/mL groups.
- Logistic regression analysis was employed to identify independent risk factors for persistent PSA.
Main Results:
- Elevated total PSA (tPSA) levels at diagnosis (>49.73 ng/mL) were identified as a significant predictor.
- Elevated free PSA (fPSA) levels at diagnosis (>2.07 ng/mL) emerged as an independent risk factor.
- Clinical T stage >T3a, specifically T3b, was strongly associated with persistent PSA after RP.
Conclusions:
- Preoperative tPSA >49.73 ng/mL, fPSA >2.07 ng/mL, and T3b stage are independent risk factors for persistent PSA post-RP.
- These factors can aid in predicting the likelihood of persistent PSA in prostate cancer patients.
- Early identification of patients at risk can inform treatment strategies and follow-up protocols.
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