论文部分内容阅读
目的 分析肺弥漫性微小结节的高分辨率CT(HRCT)及薄层CT扫描片 ,采用最大似然法总结对鉴别随机分布结节、淋巴管周围结节及小叶中心结节有价值的影像学征象。方法 对 15 0例肺部HRCT或薄层CT表现有微小结节的病人 ,应用最大似然判别法 ,把微小结节的各种征象转化为记分值 ,判定病人所属结节类型。结果 最大似然判别法对随机分布结节的诊断正确率为94 0 %;对淋巴管周围结节的诊断正确率为 76 0 %;对小叶中心结节的诊断正确率为 90 0 %。平均判别正确率为 86 7%。结论 HRCT及薄层CT扫描对随机分布、淋巴管周围分布及小叶中心分布结节的鉴别诊断有价值 ,应用最大似然判别法有助于鉴别结节类型。对怀疑有肺弥漫性微小结节的患者 ,应在胸部常规螺旋CT扫描的基础上 ,行HRCT扫描或薄层CT扫描。
Objective To analyze high resolution CT (HRCT) and thin-section CT scan of diffuse tiny nodules in lungs. The maximum likelihood method is used to identify the valuable images of randomly distributed nodules, lymphatic nodules and central lobule nodules Learn signs. Methods Fifty patients with microscopic nodules in pulmonary HRCT or thin-section CT were analyzed with maximum likelihood method to convert the various signs of micro nodules into scoring values to determine the nodule type of patients. Results The accuracy of the maximum likelihood method was 94 0% for the diagnosis of randomly distributed nodules, 76 0% for the nodules around the lymphatic vessels, and 90 0% for the nodules of the centrilobular lobes. The average discriminant accuracy was 86.7%. Conclusions HRCT and thin-section CT scan are valuable for the differential diagnosis of nodules distributed randomly, distribution around lymphatic vessels and distribution of centrilobular lobes. Maximum likelihood discriminant method is helpful to identify nodule type. Patients with suspected pulmonary diffuse small nodules should be on the basis of the conventional chest spiral CT scan, HRCT scan or thin layer CT scan.