Preoperative multiparametric magnetic resonance imaging predicts biochemical recurrence in prostate cancer after radical prostatectomy

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Abstract

Objectives: To evaluate the utility of preoperative multiparametric magnetic resonance imaging (MPMRI) 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 cindex 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.

Figures

  • Fig 1. Flowchart of patient selection.MP-MRI = multiparametric magnetic resonance imaging; PSA = prostate-specific antigen; RP = radical prostatectomy.
  • Table 1. Preoperative clinical andmultiparametric magnetic resonance imaging characteristics of patients undergoing radical prostatectomy.
  • Table 2. Postoperative pathologic patient characteristics of patients undergoing radical prostatectomy.
  • Table 3. Univariate andmultivariate Cox proportional hazards regression model of preoperative clinical and imaging variables predicting biochemical recurrence.
  • Table 4. Univariate andmultivariate Cox proportional hazards regression model of clinical and imaging variables predicting biochemical recurrence: patients with negative surgical margins.
  • Fig 2. Kaplan-Meier analysis of biochemical recurrence-free survival for patients after radical prostatectomy. (A) By multiparametric magnetic resonance imaging suspicion score. (B) By extracapsular extension on magnetic resonance imaging. BCRFS = biochemical recurrence-free survival; mECE = extracapsular extension on magnetic resonance imaging; SVI = seminal vesicle invasion on magnetic resonance imaging.
  • Fig 3. Nomogram to predict biochemical recurrence at 36 months after radical prostatectomy incorporating both clinical andmultiparametric magnetic resonance imaging parameters.
  • Fig 4. Calibration curve demonstrating performance of predicted probability of 3-year biochemical recurrence versus actual probability noted within the study. BCR = biochemical recurrence.

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Ho, R., Siddiqui, M. M., George, A. K., Frye, T., Kilchevsky, A., Fascelli, M., … Pinto, P. A. (2016). Preoperative multiparametric magnetic resonance imaging predicts biochemical recurrence in prostate cancer after radical prostatectomy. PLoS ONE, 11(6). https://doi.org/10.1371/journal.pone.0157313

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