Esteban Ernesto P, Deliz Giovanni, Rivera-Rodriguez Jaileen, Laureano Stephanie M
Physics Department, University of Puerto Rico-Humacao, José E. Aguiar Avenue, Road 908 Km 1.2, Humacao, PR 00791, USA.
Biology Department, University of Puerto Rico-Humacao, José E. Aguiar Avenue, Road 908 Km 1.2, Humacao, PR 00791, USA.
Comput Math Methods Med. 2016;2016:3929163. doi: 10.1155/2016/3929163. Epub 2016 Nov 13.
The purpose of this research is to carry out a quantitative study of prostate-specific antigen dynamics for patients with prostatic diseases, such as benign prostatic hyperplasia (BPH) and localized prostate cancer (LPC). The proposed PSA mathematical model was implemented using clinical data of 218 Japanese patients with histological proven BPH and 147 Japanese patients with LPC (stages T2a and T2b). For prostatic diseases (BPH and LPC) a nonlinear equation was obtained and solved in a close form to predict PSA progression with patients' age. The general solution describes PSA dynamics for patients with both diseases LPC and BPH. Particular solutions allow studying PSA dynamics for patients with BPH or LPC. Analytical solutions have been obtained and solved in a close form to develop nomograms for a better understanding of PSA dynamics in patients with BPH and LPC. This study may be useful to improve the diagnostic and prognosis of prostatic diseases.
本研究的目的是对患有前列腺疾病（如良性前列腺增生症（BPH）和局限性前列腺癌（LPC））的患者进行前列腺特异性抗原动力学的定量研究。所提出的PSA数学模型是利用218例经组织学证实为BPH的日本患者和147例LPC（T2a和T2b期）的日本患者的临床数据实施的。对于前列腺疾病（BPH和LPC），获得了一个非线性方程并用封闭形式求解，以预测PSA随患者年龄的进展。通解描述了LPC和BPH两种疾病患者的PSA动力学。特解允许研究BPH或LPC患者的PSA动力学。已获得解析解并用封闭形式求解，以绘制列线图，以便更好地理解BPH和LPC患者的PSA动力学。本研究可能有助于改善前列腺疾病的诊断和预后。
