Prediction of prostate cancer by logistic regression model about patient's age and transrectal ultrasound characteristics combined with serum PSA level / 中国生化药物杂志

ABSTRACT

Objective To construct a logistic regression model about the patients' age and transrectal ultrasound characteristics combined with serum PSA level and to predict prostate cancer.Methods 424 clinical data of patients with prostate disease in our hospital from January 2011 to January 2014 were retrospectively analyzed,the patients' age ,transrectal ultrasound pathological findings and biopsy findings in patients were used to establish a logistic regression model.Results Compared to patients with prostate cancer by age segment,>70 years of age or PSA levels in patients was significantly higher than in patients with other age groups;prostate cancer patients and patients with non-cancerous prostate disease were significant differences in the comparison of the various PSA levels (P0.05 );transrectal ultrasonographic combined age and PSA prostate cancer diagnosis sensitivity of 65.01% and a specificity of 92.73% and accuracy was 83.46%,81.89% positive predictive value,negative predictive value 83.95%. Conclusion Age and characteristics of patients with rectal ultrasound combined with serum PSA level logistic regression model to predict the results of the prostate is better,and should be introduced.