外围型肺癌的鉴别诊断是一个比较困难的问题。文献记载,应用一般的临床与 X 线检查方法诊断外围型肺癌,其诊断准确率动摇在65～85%。肺内各种球形病灶的 X 线表现缺少特异性征象,加之放射科医师在诊断水平、主观因素等方面存在的差异,直接影响诊断的准确率。1959年 Lediey 等提出用贝叶斯(Bayes)理论,将 X 线影像转换为数学模型,编 The differential diagnosis of peripheral lung cancer is a more difficult problem. The literature records that the application of general clinical and X-ray examination methods for the diagnosis of peripheral lung cancer, the diagnostic accuracy shakes at 65 to 85%. The lack of specific signs of X-ray findings of various spherical lesions in the lungs, combined with differences in the diagnostic level, subjective factors, and other aspects of radiologists, directly affect the accuracy of the diagnosis. In 1959, Lediey et al. proposed the use of Bayes theory to convert X-ray images into mathematical models.