血清PSA水平联合患者年龄及直肠超声特征的Logistic回归模型对前列腺癌的预测

Logistic regression model with serum PSA level, age and transrectal ultrasound characteristics prediction for prostate cancer

目的探讨血清PSA水平联合患者年龄及直肠超声特征的Logistic回归模型对前列腺癌的预测价值。方法分析本院386例前列腺疾病患者的临床检查资料,以穿刺病理检查为确诊标准。对血清PSA水平联合患者年龄及直肠超声检查结果与穿刺病理结果进行统计分析,建立相关Logistic回归模型。结果血清PSA水平联合患者年龄及直肠超声特征的Logistic回归模型对前列腺癌的诊断准确度、特异度及敏感度分别为85.37%、93.51%及65.40%,阳性预测值及阴性预测值分别为83.74%及85.35%。结论血清PSA水平联合患者年龄及直肠超声特征的Logistic回归模型对前列腺癌的诊断预测结果较好,可提高前列腺癌的诊断率。

Objective To investigate the predictive value of the logistic regression model with serum PSA level, age and transrectal ultrasound characteristics for the diagnosis of prostate cancer. Methods Analyzed 486 cases prostate patients and used diagnosed puncture cases as diagnostic criteria, after the statistical analysis of combined with patient age, transrectal ultrasound results, level of serum PSA and pathological results, established the logistic regression model. Results The results showed that the diagnosis of logistic regression model, the level of serum PSA combined with patient age and transrectal ultrasound imaging characteristics of the prostate cancer accuracy, specificity and sensitivity were 85.37%, 93.51% and 65.40% respectively, positive predictive value and negative predictive value were 83.74% and 85.35%. Conclusion Logistic regression model with serum PSA level, age and transrectal characteristics is a good diagnosis predictor of prostate cancer, which can improve the diagnosis of prostatic cancer.