2017
DOI: 10.1016/j.clgc.2016.06.018
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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

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Cited by 3 publications
(3 citation statements)
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“…We also performed receiver operating characteristic (ROC) curve analysis to evaluate the performance of metabolite ratio CSC/C, SUV mean , SUV max , and a combination of all covariates in discrimination between the voxels determined as either tumor or combined BPH and healthy tissue. The combined covariates were generated in SPSS, by estimating a logistic regression model of the variables to predict the probability from that model ( 26 ). The predicted probability served as input to ROC analysis.…”
Section: Methodsmentioning
confidence: 99%
“…We also performed receiver operating characteristic (ROC) curve analysis to evaluate the performance of metabolite ratio CSC/C, SUV mean , SUV max , and a combination of all covariates in discrimination between the voxels determined as either tumor or combined BPH and healthy tissue. The combined covariates were generated in SPSS, by estimating a logistic regression model of the variables to predict the probability from that model ( 26 ). The predicted probability served as input to ROC analysis.…”
Section: Methodsmentioning
confidence: 99%
“…Theorem 2.1. Equations (12) and (13) admits the solutions Equations (22) and (25) if and only if the following conditions hold true for allĉ, u, v:…”
Section: Construction Of Closed Form Solutionsmentioning
confidence: 99%
“…A differential equation model is fit to observe sample in order to perform longitudinal analysis of prostate cancer tumor marker kinetics in de Charry et al 10 An approach combining mathematical modeling and numerical simulation is used to develop a predictive computational model for the analysis of prostate cancer in Farhat et al 11 A model that describes the interaction between the tumor environment, the PSA produced by hormone-dependent and hormone-independent tumor cells, and the level of androgens is developed in Draghi et al's study. 12 A model for the predictive simulation prostate of Pca is developed in Spyropoulos et al 13 A comparison between several models of intermittent androgen suppression treatment for prostate cancer is given in Hatano et al 14 Solitary solutions (or solitons) are waves that maintain their shape as they move at a constant velocity. They possess many other properties, and the construction of such solutions to differential equations is a very active field of research.…”
Section: Introductionmentioning
confidence: 99%