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Prostate Cancer Predictive Simulation Modelling, Assessing the Risk Technique (PCP- SMART): Introduction and Initial Clinical Efficacy Evaluation Data.

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Presentation on theme: "Prostate Cancer Predictive Simulation Modelling, Assessing the Risk Technique (PCP- SMART): Introduction and Initial Clinical Efficacy Evaluation Data."— Presentation transcript:

1 Prostate Cancer Predictive Simulation Modelling, Assessing the Risk Technique (PCP- SMART): Introduction and Initial Clinical Efficacy Evaluation Data Presentation of a Simple Novel Mathematical Simulation Modelling Method, Devised to Predict the Outcome of Prostate Biopsy on an Individual Basis  Evangelos Spyropoulos, Dimitrios Kotsiris, Katherine Spyropoulos, Aggelos Panagopoulos, Ioannis Galanakis, Stamatios Mavrikos  Clinical Genitourinary Cancer  Volume 15, Issue 1, Pages e1 (February 2017) DOI: /j.clgc Copyright © 2016 Elsevier Inc. Terms and Conditions

2 Figure 1 (A) Receiver Operating Characteristic (ROC) Curve Analysis: Area Under the Curve (AUC) Values of Variables Negatively Correlating With Prostate Biopsy Outcome With Prostate Cancer (PCa) Diagnosis on Biopsy (to Predict Negative Biopsy Result as Values Increase). (B) ROC Curve Analysis: AUC Values of Variables Positively Correlated With Prostate Biopsy Outcome With PCa Diagnosis on Biopsy (to Predict Positive Biopsy Result as Values Increase) Clinical Genitourinary Cancer  , e1DOI: ( /j.clgc ) Copyright © 2016 Elsevier Inc. Terms and Conditions

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