期刊文献+

胸膜尾征预测最大径≤3cm周围型非小细胞肺癌侵犯脏层胸膜的CT研究 被引量:12

The CT study of the pleural tail sign predicting visceral pleural invasion of the peripheral non-small cell lung cancer with the maximum diameter of less than 3 cm
下载PDF
导出
摘要 目的利用胸膜尾征评价最大径≤3cm的周围型非小细胞肺癌侵犯脏层胸膜。方法回顾性分析经病理证实的37例有脏层胸膜侵犯及168例无脏层胸膜受侵的最大径≤3cm的周围型非小细胞肺癌患者,根据肿瘤与胸膜的关系分成三种类型,计算各型具有胸膜尾征的肺癌脏层胸膜侵犯诊断的准确性、敏感性、特异性、PPV、NPV、LR+。结果Ⅲ型胸膜尾征预测肺癌侵犯脏层胸膜优于Ⅰ型、Ⅱ型,其特异度为89. 52%,准确度为78. 87%,敏感度为48. 65%,阳性预测值为62. 07%,阴性预测值为83. 19%,阳性似然比为4. 64。在CT上未出现胸膜尾征的不和胸膜相贴的最大径≤3cm的周围型非小细胞肺癌可以排除脏层胸膜侵犯。结论 CT图像上Ⅲ型胸膜尾征能提高术前诊断最大径≤3cm的周围型非小细胞肺癌侵犯脏层胸膜诊断的准确性。 Objective By use of pleural tail sign, to evaluate the peripheral non-small cell lung cancer (NSCLC) with the maximum diameter of less than 3 cm invading visceral pleural. Methods We retrospectively analyzed imaging of the peripheral NSCLC with the maximum diameter of less than 3 cm in 37 cases with visceral pleural invasion and 168 cases without visceral pleural invasion, which were all proved by histopathology. The lesion's relation to the pleura was classified into 3 types. Diagnostic accuracy, sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and positive likelihood ratio (LR) were calculated. Results Type III pleural tail sign predicts lung cancer invading the visceral pleura better than type I and type II, the following results are specificity, 89.52%; accuracy, 78.87%; sensitivity, 48.65%; PPV, 62.07%; NPV, 83.19%; positive LR, 4.64. No pleural tail sign on CT images of the peripheral NSCLC with the maximum diameter of less than 3 cm that does not abut the pleura can exclude visceral invasion. Conclusion III type pleural tail sign on CT images can increase the accurate diagnosis of visceral pleural invasion by the peripheral NSCLC with diameter less than 3 cm before surgery.
作者 彭兆辉 范丽 王祥 王玮 刘士远 PENG Zhaohui;FAN Li;WANG Xiang;WANG Wei;LIU Shiyuan(Department of Radiology,ChangZheng Hospital,Navy Military Medical University,Shanghai 200003,P.R.China;Department of Radiology,General Hospital of Jinan Command,Jinan 250031,P.R.China)
出处 《医学影像学杂志》 2018年第12期2018-2022,共5页 Journal of Medical Imaging
基金 国家重点研发计划政府间合作项目(编号:2016YFE0103000)
关键词 胸膜尾征 非小细胞肺癌 脏层胸膜侵犯 体层摄影术 X线计算机 Pleural tail sign Non-small cell lung cancer Visceral pleural invasion Tomography,X-ray computed
  • 相关文献

参考文献3

二级参考文献19

  • 1滑炎卿,张国桢,丁其勇,倪国兴,陆孝禹.CT肿瘤血管成像对周围型肺癌的诊断价值[J].中华放射学杂志,2004,38(7):701-705. 被引量:52
  • 2张金娥,梁长虹,赵振军,林华欢,曾辉,何晖,茹光腾.CT肺灌注在肺结节诊断中的应用研究[J].中华放射学杂志,2005,39(10):1041-1045. 被引量:95
  • 3段云云,李坤成,杜祥颖,梁志刚.计算机辅助检测对检出乳腺X线片中成簇微钙化灶的价值[J].医学影像学杂志,2006,16(1):4-6. 被引量:8
  • 4Miles KA, Griffiths MR, Keith CJ. Blood flow-metabolic re- lationships are dependent on tumour size in non-small cell lung cancer: a study using quantitative contrast-enhanced computer tomography and positron emission tomography[J]. Eur J Nucl Med Mol Imaging, 2006, 33: 22.
  • 5Yi CA, Lee KS, Kim EA, et al. Solitary pulmonary nodules: dynamic enhanced multi-detector row CT study and compari- son with vascular endothelial growth factor and microvessel density[J]. Radiology, 2004, 233: 191-199.
  • 6Littleton JT, Durizch ML, Moeller G, et al. Pulmonary masses: contrast enhancement [J]. Radioogy, 1990, 177: 861-871.
  • 7Goh V, Halligan S, Gharpuray A, et al. Quantitative assess- ment of colorectal cancer tumor vascular parameters by using perfusion CT: influence of tumor region of interest [J]. Ra- diology, 2008, 247: 726-732.
  • 8Shingo I, Naoki M, Mitsuru I. Solitary pulmonary nodules: optimal slice thickness of high resolution CT in differentiating malignant from benign [J]. Clinical Imaging, 2004, 28:322 -328.
  • 9Frerdmanmt, Osickat. Heat maps: an aid for data analysis and understanding of ROC CAD experiments [J]. Acad Radi- ol, 2008, 15: 249-259.
  • 10Shiraishi J, Abeh, Li F, et al. Computer aided diagnosis for the detection and calcification of lung cancers on chest radio- graphy ROC analysis of radiologists performance [-J]. Acad Radiol, 2006, 13:995 1003.

共引文献48

同被引文献95

引证文献12

二级引证文献19

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部