摘要
目的分析尘肺病高仟伏胸片(HKV)小阴影聚集的MSCT表现。方法将HKV诊断的15例(共20处)小阴影聚集病变对照MSCT进行比较,主要观察两者显示病变的形态、密度、大小(最大横径)等,并对15例尘肺病进行分期诊断比较。结果HKV20处小阴影聚集表现为斑片状9处、簇状8处、条片状3处,MSCT表现为大阴影14处、小阴影聚集状4处、肺不张1处、肿块(肺癌)1处;HKV显示20处病变密度不均匀,MSCT显示非小阴影聚集状的16处病变密度基本均匀,其中8处内部显示钙化灶;将MSCT和HKV显示病变的最大横径相减作为两者显示病变大小的差值,差值<|3|mm6处,≥3mm8处,≤-3mm6处;15例尘肺分期诊断中两者同期8例,MSCT升期6例、降期1例。结论尘肺病HKV诊断小阴影聚集有局限性,应行MSCT检查。
Objective To analyse the multislice computed tomography(MSCT)findings of small opacity aggregations in HKV chest radiograph images of pneumoconiosis.Methods 15 patients of pneumoconiosis(20 small opacity aggregations in total)diagnosed by HKV chest radiograph,were compared with MSCT.The main observation indexes included morphology,density and size(maximum transverse diameter)of the small opacity aggregations in HKV chest radiograph and the corresponding lesions in MSCT images,and the 15 cases were also compared in staging diagnosis.Results There were 9 patchy signs,8 clustered signs and 3 striped signs among 20 small opacity aggregations in HKV chest radiograph images,while MSCT images showed 14 large opacities,4 small opacity aggregations,1 pulmonary atelectasis and 1 mass(Lung cancer).All of the 20 small opacity aggregations were in heterogeneous density in HKV images,however,MSCT images demonstrated that 16 which were not small opacity aggregations were in basically homogeneous density,and 8 of them showed calcifications internally.The difference value between the maximum transverse diameter of the lesions displayed by MSCT and HKV is as the difference between the two lesions.There were 6 cases<|3|mm,8 cases≥3mm,6 cases≤-3mm.Compared to the staging diagnosis by HKV chest radiograph,MSCT images showed 8 cases were in the same stages,6 cases were in higher stages while 1 case was in a lower stage.Conclusion The diagnosis of small opacity aggregations by HKV X-ray has limitations,MSCT is recommended for further examination.
作者
翟荣存
刘晓东
李年春
朱胜康
胡必锋
李翔
张爱农
马芸
ZHAI Rong-cun;LIU Xiao-dong;LI Nian-chun(Medical Image Center of Tongling Municipal Hospital,Tongling 244000,Anhui Province,China)
出处
《中国CT和MRI杂志》
2020年第8期43-45,72,共4页
Chinese Journal of CT and MRI
基金
安徽省重点研究与开发项目(1804h08020238)。
