摘要
目的探讨多层螺旋CT对非小细胞肺癌和小细胞肺癌患者的诊断价值。方法86例疑似肺癌患者均行CT检查,观察经病理确诊的非小细胞肺癌和小细胞肺癌患者CT征象,同时以病理活检为“金标准”,计算多层螺旋CT诊断灵敏度、特异度和准确度。结果金标准确诊肺癌79例,肺结核3例,肺纤维瘤4例,其中非小细胞肺癌49例,小细胞肺癌30例。多层螺旋CT检查显示肺癌75例,确诊72例,诊断敏感度、特异度、准确度分别为91.14%、57.14%、88.37%。2种类型肺癌的CT征象中类圆形、中央型、支气管闭塞、肺不张/阻塞性肺炎、纵隔淋巴结融合及纵隔血管侵犯比较,差异均有统计学意义(P<0.05)。结论非小细胞肺癌和小细胞肺癌的CT征象具有一定差异,为临床诊断提供依据。
Objective To explore the diagnostic value of multi-slice spiral CT in the patients with non-small cell lung cancer or small cell lung cancer.Methods A total of 86 patients with suspected lung cancer were given CT examinations,and the CT signs of pathologically confirmed non-small cell lung cancer and small cell lung cancer were observed.Meanwhile,the diagnostic sensitivity,specificity and accuracy of multi-slice spiral CT were calculated with pathological biopsy as the“gold standard”.Results There were 79 cases of lung cancer,3 cases of pulmonary tuberculosis and 4 cases of pulmonary fibroma confirmed by gold standard,including 49 cases of non-small cell lung cancer and 30 cases of small cell lung cancer.Multi-slice spiral CT showed there were 75 cases of lung cancer including 72 confirmed cases.The diagnostic sensitivity,specificity and accuracy were 91.14%,57.14%and 88.37%,respectively.The CT signs of the two types of lung cancer were statistically significant in terms of round,central,bronchial occlusion,atelectasis/obstructive pneumonia,mediastinal lymph node fusion and mediastinal vascular invasion(P<0.05).Conclusion CT signs of non-small cell lung cancer and small cell lung cancer are different to some extent,and can provide basis for clinical diagnosis.
作者
王晓男
郭华峰
杨璐
WANG Xiaonan;GUO Huafeng;YANG Lu(Imaging Center,Shaanxi Hospital of Traditional Chinese Medicine,Xi′an,Shaanxi,710003;Department of Ultrasound Diagnosis,Xi′an City Fourth Hospital in Shaanxi Province,Xi′an,Shaanxi,710004)
出处
《实用临床医药杂志》
CAS
2020年第23期5-7,共3页
Journal of Clinical Medicine in Practice
基金
陕西省卫生厅科技基金项目(2010H17)。
关键词
螺旋CT
非小细胞肺癌
小细胞肺癌
CT征象
诊断价值
spiral CT
non-small cell lung cancer
small cell lung cancer
CT signs
diagnostic value
