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目的 :建立原发性肝癌 (PHC)多因素判别公式 ,提高诊断准确性。方法 :测定 48例对照组患者 ,44例PHC患者血清七项生化指标。利用SPSS统计软件包进行Bayes多因素两类判别分析 ,建立一般和逐步判别方程各两个。结果 :一般判别方程诊断符合率 86 .96 % ,灵敏度 77.2 7% ,特异性 95 .83%。逐步判别方程诊断符合率 84.78% ,灵敏度 79.5 5 % ,特异性 89.5 9%。结论 :通过加强对肝病患者的监测 ,定期检查患者各项指标 ,利用判别公式 ,可以达到准确诊断PHC的目的。
Objective: To establish a multi-factor discriminant formula of primary liver cancer (PHC) to improve diagnostic accuracy. Methods: The biochemical indexes of sera in 48 patients in control group and 44 patients with PHC were determined. Using Bayesian multi-factor discriminant analysis using SPSS statistical software package, two general and step discriminant equations are established respectively. Results: The diagnostic accuracy of general discriminant equation was 86.96%, the sensitivity was 77.2 7% and the specificity was 95.83%. Stepwise discriminant equation diagnostic coincidence rate of 84.78%, sensitivity 79.5 5%, specificity 89.5 9%. Conclusion: By monitoring patients with liver disease and regularly examining various indicators of patients, using the discriminant formula can achieve the purpose of accurate diagnosis of PHC.