周围型肺癌与肺结核球的计量判别诊断

Quantitative Discriminatory Diagnosis of Peripheral Lung Cancer and Pulmonary Tuberculoma

目的 对周围型肺癌和肺结核球进行计量判别诊断。方法 根据两类病例的症状、体征、化验结果和X线特征 ,建立计量判别诊断模型。结果 回代实验显示计量判别诊断的诊断符合率为 96 .2 % ,明显高于入院诊断正确率 81.2 % (P<0 .0 0 5 )。临床应用诊断符合率为 95 .7%。结论 周围型肺癌和肺结核球的计量判别诊断模型是一种诊断正确率较高的数学模型 ,有推广应用价值 ,特别在缺乏先进医疗设备的基层医院。

Objective To make quantitative discriminatory diagnosis of peripheral lung cancer and pulmonary tuberculoma. Methods According to the symptoms, signs, laboratory findings, and x-ray characteristics of these two diseases, mathematical model of quantitative discriminatory diagnosis is established. Results Retrospective test shows that the coincidence rate of the discriminatory diagnosis model is 96.2%, it is significantly higher than the correct rate of 81.2% of admission diagnosis(P<0.005). Coincidence rate of this model in clinical application is 95.7%. Conclusion The model of discriminatory diagnosis of petipheral lung cancer and pulmonary tuberculoma is high correctness mathematical model for diagnosis. It is valuable to popularize this model especially in basic level hospitals where advanced equipment is lacking.