Biochemical recurrence‐free conditional probability after radical prostatectomy: A dynamic prognosis

García‐Barreras, Silvia; Sánchez-Salas, Rafael; Mejía‐Monasterio, Carlos; Muttin, Fabio; Secín, Fernando P.; Dell’Oglio, Paolo; Nunes‐Silva, Igor; Srougi, Victor; Barret, Éric; Rozet, François; Prapotnich, Dominique; Cathelineau, Xavier

doi:10.1111/iju.13982

Cited by 6 publications

(5 citation statements)

References 32 publications

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“…Various prediction tools for BCR have been developed to guide the clinical decision-making for subsequent treatment. Most of these tools are developed based on clinical and pathological parameters such as pre-operative serum prostate-specific antigen (PSA), Gleason score, tumor stage, surgical margin (SM), extracapsular extension (ECE), seminal vesicle invasion (SVI), and lymph node invasion (LNI) [5–8] . The cancer of the prostate risk assessment post-surgical (CAPRA-S) score is one of the most commonly used tools with good discriminative accuracy and calibration [7] .…”

Section: Introductionmentioning

confidence: 99%

“…Most of these tools are developed based on clinical and pathological parameters such as pre-operative serum prostate-specific antigen (PSA), Gleason score, tumor stage, surgical margin (SM), extracapsular extension (ECE), seminal vesicle invasion (SVI), and lymph node invasion (LNI). [5][6][7][8] The cancer of the prostate risk assessment post-surgical (CAPRA-S) score is one of the most commonly used tools with good discriminative accuracy and calibration. [7] However, only few of these tools include tumor diameter and post-operative PSA nadir, simultaneously, although the prognostic value of these two characteristics in predicting BCR has been verified.…”

Section: Introductionmentioning

confidence: 99%

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A novel nomogram provides improved accuracy for predicting biochemical recurrence after radical prostatectomy

Yan

Yang

et al. 2021

Chinese Medical Journal

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Background:Various prediction tools have been developed to predict biochemical recurrence (BCR) after radical prostatectomy (RP); however, few of the previous prediction tools used serum prostate-specific antigen (PSA) nadir after RP and maximum tumor diameter (MTD) at the same time. In this study, a nomogram incorporating MTD and PSA nadir was developed to predict BCR-free survival (BCRFS).Methods:A total of 337 patients who underwent RP between January 2010 and March 2017 were retrospectively enrolled in this study. The maximum diameter of the index lesion was measured on magnetic resonance imaging (MRI). Cox regression analysis was performed to evaluate independent predictors of BCR. A nomogram was subsequently developed for the prediction of BCRFS at 3 and 5 years after RP. Time-dependent receiver operating characteristic (ROC) curve and decision curve analyses were performed to identify the advantage of the new nomogram in comparison with the cancer of the prostate risk assessment post-surgical (CAPRA-S) score.Results:A novel nomogram was developed to predict BCR by including PSA nadir, MTD, Gleason score, surgical margin (SM), and seminal vesicle invasion (SVI), considering these variables were significantly associated with BCR in both univariate and multivariate analyses (P < 0.05). In addition, a basic model including Gleason score, SM, and SVI was developed and used as a control to assess the incremental predictive power of the new model. The concordance index of our model was slightly higher than CAPRA-S model (0.76 vs. 0.70, P = 0.02) and it was significantly higher than that of the basic model (0.76 vs. 0.66, P = 0.001). Time-dependent ROC curve and decision curve analyses also demonstrated the advantages of the new nomogram.Conclusions:PSA nadir after RP and MTD based on MRI before surgery are independent predictors of BCR. By incorporating PSA nadir and MTD into the conventional predictive model, our newly developed nomogram significantly improved the accuracy in predicting BCRFS after RP.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A novel nomogram provides improved accuracy for predicting biochemical recurrence after radical prostatectomy

Yan

Yang

et al. 2021

Chinese Medical Journal

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“…To aid in the clinical decision-making process for following treatment, a variety of BCR prediction techniques have been created. The majority of these techniques were created using clinical and pathological characteristics, including pre-operative serum prostate-specific antigen (PSA), tumor stage, Gleason score, extracapsular extension (ECE), surgical margin (SM), and seminal vesicle involvement(SV) [ 5 – 8 ]. The cornerstone of post-operative follow-up is PSA measurement.…”

Section: Introductionmentioning

confidence: 99%

Prediction of biochemical recurrence after laparoscopic radical prostatectomy

Bejrananda,

Pliensiri

2023

BMC Urol

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Background Radical prostatectomy (RP) has been considered primary treatment for localized prostate cancer. Biochemical recurrence (BCR) occur approximately 20–30% in five year after RP. We aim to develop a novel nomogram to predict BCR-free survival (BCRFS) and performed external validation using a validation cohort that may help clinicians to make better decision for tailoring adjuvant treatment to specific group of patients. Materials and methods This retrospective cohort study included 370 localized and regional prostate cancer patients who underwent laparoscopic radical prostatectomy (LRP) in Songklanagarind hospital between January 2010 and December 2019, the patients were divided into two groups (primary cohort and validation cohort). BCR-free survival was created using Kaplan-Meier curve. Predictive factors for BCR were identified with univariable and multivariable analysis using Cox proportional hazards model. Predictive nomogram was created using these identified factors and developed for the prediction of biochemical recurrence free survival (BCRFS) at 1 and 5 years after LRP. Results For primary Songklanagarind cohort, BCR was found in 105 patients (44.7%). Overall 1-year BCR-free survival was 52.8%, and 5-year BCR-free survival was 45.7% with median time to BCR of 18.1 months. Multivariable analysis identified unfavorable factor to BCRRF which are high initial serum PSA (> 20) (p < 0.001; HR 3.2), ISUP Gleason grade group > = 3 (p 0.033; HR 2.2), positive surgical margins (p 0.046; HR 1.5), and seminal vesicle involvement (p < 0.001; HR 5.2) and using for develop a novel nomogram to predict BCR. Concordance index 0.78. Conclusion Prostate cancer patients with unfavorable factors, including high initial PSA (> 20), ISUP Gleason grade group > = 3, positive margin and extra-prostatic tumor extension are considered high risks and independent predictors of biochemical recurrence. This predictive models could potentially improve the 1 and 5-year BCR prediction after RP, according to the study’s findings and will aid medical professionals in achieving the goal of clinical prediction and creating a proper management for the localized treatment of prostate cancer underwent laparoscopic radical prostatectomy.

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“…Approximately, 20%-30% of the patients experience biochemical recurrence (BCR) after radical prostatectomy (RP) during follow-up [2,3]. Various prediction tools for BCR have been developed to guide the clinical decision-making for subsequent treatment [4][5][6]. Most of these tools are developed based on clinical and pathologic parameters such as preoperative serum prostate speci c antigen (PSA), Gleason score, tumor stage, surgical margin (SM), extracapsular extension (ECE), seminal vesicle invasion (SVI), and lymph node invasion (LNI).…”

Section: Introductionmentioning

confidence: 99%

A novel nomogram provides improved accuracy for predicting biochemical recurrence after radical prostatectomy

Yan

Yang

et al. 2020

Preprint

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Background: Various prediction tools have been developed to predict biochemical recurrence (BCR) after radical prostatectomy (RP), however, few of the previous prediction tools used serum prostate specific antigen (PSA) nadir after RP and maximum tumor diameter (MTD) at the same time. In this study, a nomogram incorporating MTD and PSA nadir was developed to predict BCR-free survival. Methods: 337 patients who underwent RP were retrospectively enrolled in this study. The maximum diameter of the index lesion was measured on magnetic resonance imaging (MRI). Cox regression analysis was performed to evaluate independent predictors of BCR. A nomogram was subsequently developed for the prediction of BCR-free survival at 3 and 5 years after RP. Time-dependent receiver operating characteristic (ROC) curve and decision curve analysis were performed to identify the advantage of the new nomogram in comparison with the CAPRA-S score. Results: A novel nomogram was developed to predict BCR by including PSA nadir, MTD, Gleason score, surgical margin (SM), and seminal vesicle invasion (SVI), since these variables were significantly associated with BCR in both univariate and multivariate analysis (p <0.05). In addition, a basic model including Gleason score, SM, and SVI was developed and used as a control to assess the incremental predictive power of the new model. The concordance index of our model was slightly higher than CAPRA-S model (0.76 vs. 0.70, p =0.02) and it was significantly higher than that of the basic model (0.76 vs. 0.66, p =0.001). Time-dependent ROC curves and decision curve analyses also demonstrated the advantages of the new nomogram.Conclusions: PSA nadir after RP and MTD based on MRI before surgery are independent predictors of BCR. By incorporating PSA nadir and MTD into the conventional predictive model, our newly developed nomogram significantly improved the accuracy in predicting BCR-free survival after RP.

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Biochemical recurrence‐free conditional probability after radical prostatectomy: A dynamic prognosis

Cited by 6 publications

References 32 publications

A novel nomogram provides improved accuracy for predicting biochemical recurrence after radical prostatectomy

A novel nomogram provides improved accuracy for predicting biochemical recurrence after radical prostatectomy

Prediction of biochemical recurrence after laparoscopic radical prostatectomy

A novel nomogram provides improved accuracy for predicting biochemical recurrence after radical prostatectomy

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