Prediction of prostate cancer by logistic regression model about patient's age and transrectal ultrasound characteristics combined with serum PSA level
- VernacularTitle:患者年龄及直肠超声特征联合血清PSA水平的logistic回归模型对前列腺癌的预测
- Author:
Chenzhi LIU
;
Wei REN
- Publication Type:Journal Article
- Keywords:
prostate cancer;
transrectal ultrasound;
prostatespecific antigen(PSA);
logistic regression model
- From:
Chinese Journal of Biochemical Pharmaceutics
2014;37(7):114-116,119
- CountryChina
- Language:Chinese
-
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 (P<0.05);shape of two groups of patients with prostate,prostate boundaries,both inside and outside the boundaries gland,prostate and seminal vesicles separation line clarity,prostate and rectum separation line definition,lymph node metastasis, abnormal blood flow signals and weak echo comparison with a statistically significant difference between two groups(P<0.05 ),whereas no significant difference between nodules and uneven echo two factors (P>0.05 );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.
