低剂量CT引导经皮肺穿刺活检术联合肿瘤标志物对肺癌的诊断价值  被引量:11

The diagnostic value of lung biopsy through Low-dose CT-guided percutaneous paracentesis and tumor markers for lung cancer

在线阅读下载全文

作  者:袁刚 王江涛 陈鹏 

机构地区:[1]徐州医科大学附属连云港医院连云港市第一人民医院影像科,江苏连云港222002

出  处:《医学影像学杂志》2017年第11期2102-2105,共4页Journal of Medical Imaging

摘  要:目的探讨低剂量CT引导经皮肺穿刺活检术联合肿瘤标志物对肺癌的诊断价值。方法回顾性分析我院275例肺肿块患者,采用18G半自动切割活检针,经CT引导行肺穿刺活检术获取病理诊断,结合肿瘤标志物,评价其在肺癌诊断中的价值。结果 275例经皮肺穿刺活检术均穿刺成功,穿刺成功率为100%。敏感度、特异度、准确度分别为:97.01%、100%、97.82%。肺穿刺阴性肺癌与良性病变NSE阳性率的差异有统计学意义(P=0.020);肺穿刺阴性肺癌与良性病变CEA、CYFRA21-1阳性率的差异无统计学意义(P=0.256、P=0.155)。结论经皮肺穿刺活检术具有安全性高,并发症少,对肺癌具有较高的诊断准确率,联合肿瘤标志物可提高肺穿刺阴性肺癌的诊断准确率。Objective The aim of this study was to explore the diagnostic value of lung cancer by using CT-guided percutane- ous lung biopsy combined with tumor markers. Methods We retrospectively analysed the 78 patients with lung placeholder in our hospital, using 18G semi-automatic cutting biopsy needle to obtain pathological diagnosis by Low-dose CT-guided lung biopsy, and evaluated its value in diagnosis of lung cancer combined with tumor markers. Results All of the lung biopsing were successful. The sensitivity, specificity, and accuracy for the diagnosis of lung cancer were 97. O1% 100% and 97.82%. We found statistical significant differences of NSE positive rate lung paracentesis negative lung cancer and benign biopsy ( P = 0. 020 ) ; but differ- ences in lung cancer and benign biopsy negative CEA, CYFRA21-1 positive rate were not statistically significant ( P = 0. 256, P =0. 155 ). Conclusion Low-dose CT-guided percutaneous lung biopsy was very safe, with a few complications, which had a high diagnostic accuracy for lung cancer. Percutaneous lung biopsy combined with tumor markers can improve the diagnostic accu- racy of lung paracentesis negative lung cancer.

关 键 词:体层摄影术 X线计算机 引导 肺癌 肺穿刺活检 肿瘤标志物 

分 类 号:R734.2[医药卫生—肿瘤] R814.42[医药卫生—临床医学]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象