Preoperative multiparametric magnetic resonance imaging predicts biochemical recurrence in prostate cancer after radical prostatectomy
R Ho, MM Siddiqui, AK George, T Frye, A Kilchevsky… - PLoS …, 2016 - journals.plos.org
PLoS One, 2016•journals.plos.org
Objectives To evaluate the utility of preoperative multiparametric magnetic resonance
imaging (MP-MRI) in predicting biochemical recurrence (BCR) following radical
prostatectomy (RP). Materials/Methods From March 2007 to January 2015, 421 consecutive
patients with prostate cancer (PCa) underwent preoperative MP-MRI and RP. BCR-free
survival rates were estimated using the Kaplan-Meier method. Cox proportional hazards
models were used to identify clinical and imaging variables predictive of BCR. Logistic …
imaging (MP-MRI) in predicting biochemical recurrence (BCR) following radical
prostatectomy (RP). Materials/Methods From March 2007 to January 2015, 421 consecutive
patients with prostate cancer (PCa) underwent preoperative MP-MRI and RP. BCR-free
survival rates were estimated using the Kaplan-Meier method. Cox proportional hazards
models were used to identify clinical and imaging variables predictive of BCR. Logistic …
Objectives
To evaluate the utility of preoperative multiparametric magnetic resonance imaging (MP-MRI) in predicting biochemical recurrence (BCR) following radical prostatectomy (RP).
Materials/Methods
From March 2007 to January 2015, 421 consecutive patients with prostate cancer (PCa) underwent preoperative MP-MRI and RP. BCR-free survival rates were estimated using the Kaplan-Meier method. Cox proportional hazards models were used to identify clinical and imaging variables predictive of BCR. Logistic regression was performed to generate a nomogram to predict three-year BCR probability.
Results
Of the total cohort, 370 patients met inclusion criteria with 39 (10.5%) patients experiencing BCR. On multivariate analysis, preoperative prostate-specific antigen (PSA) (p = 0.01), biopsy Gleason score (p = 0.0008), MP-MRI suspicion score (p = 0.03), and extracapsular extension on MP-MRI (p = 0.03) were significantly associated with time to BCR. A nomogram integrating these factors to predict BCR at three years after RP demonstrated a c-index of 0.84, outperforming the predictive value of Gleason score and PSA alone (c-index 0.74, p = 0.02).
Conclusion
The addition of MP-MRI to standard clinical factors significantly improves prediction of BCR in a post-prostatectomy PCa cohort. This could serve as a valuable tool to support clinical decision-making in patients with moderate and high-risk cancers.
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