期刊文献+

数字化X线摄影对诊断肺部小结节病灶的临床价值探讨 被引量:3

Clinical Value of Digital X-ray Photography in Diagnosis of Pulmonary Nodules
下载PDF
导出
摘要 目的探讨数字化X线摄影对诊断肺部小结节病灶的临床价值。方法对2011年1月~2012年12月期间河南省直属机关第一门诊部影像科进行检查肺部小结节病灶的84例患者作为此次探究对象进行回顾性分析,均为其开展"传统X线摄影"和"数字化摄影"检查,并以病理学检查为金标准,比较两种检查方式的检查准确性,并对ROC曲线进行绘制。结果数字化摄影(DR)检查的准确率高于传统X线摄影的检查准确率,差异有统计学意义(P <0.05);观察组ROC曲线面积大于对照组,差异具有统计学意义(P <0.05)。数字化摄影检查诊断肺部小结节的敏感度、特异度与传统X线摄影检查诊断比较,差异具有统计学意义(P <0.05)。结论对进行诊断肺部小结节病灶的患者进行数字化X线摄影方法,其数字化摄影胸片发现肺部小结节病灶的能力要显著优于传统X线摄影。 Objective To explore the clinical value of digital X-ray photography in the diagnosis of pulmonary nodules. Methods From January 2011 to December 2012, 84 patients with pulmonary nodules admitted in our hospital were selected as the research objects for retrospective analysis. Both " traditional X-ray photography" and " digital photography" examinations were carried out. Pathology examination was taken as the gold standard. The accuracy of the two examination methods was compared, and ROC curves were drawn. Results The accuracy rate of digital photography (DR) was higher than that of traditional X-ray photography, and the difference was statistically significant (P < 0.05). The area of ROC curve in the observation group was larger than that in the control group, and the difference was statistically significant (P < 0.05). The sensitivity and specificity of digital radiography in the diagnosis of pulmonary nodules were statistically significant compared with traditional X-ray radiography (P < 0.05). Conclusion Digital X-ray radiography is superior to traditional X-ray radiography in the ability of finding small pulmonary nodules on digital chest radiography.
作者 李华 LI Hua(Department of Imaging, First Outpatient Department of directly under the authority, Henan Province, Zhengzhou,Henan, 450000, China)
出处 《临床研究》 2019年第4期150-151,共2页 Clinical Research
关键词 数字化X线摄影 传统X线摄影 肺部小结节病灶 digital x-ray photography traditional x-ray photography pulmonary nodules
  • 相关文献

参考文献6

二级参考文献65

  • 1蒋争春,姚利兴,袁伟.腹部低剂量数字化X线摄影的探讨[J].现代医用影像学,2011,20(6):364-367. 被引量:2
  • 2蒋磊,陈福康,吴建彬,黄海峡,潘祖军,黄吟华,吴科峰,陈斌.传统与数字化X线摄影检出肺部小结节的ROC曲线评价[J].中国医学影像技术,2005,21(5):729-731. 被引量:13
  • 3Rauscher GH,Murphy AM,Orsi JM,et al.Beyond the mammography quality standardsact:Measuring the quality of breast cancerscreening programs[J].AJR:American Journalof Roentgenology:Including Diagnostic Radiology,Radiation Oncology,Nuclear Medicine,Ultrasonography and Related BasicSciences,2014,202(1):145-151.
  • 4Azar AT,El-Said SA.Performance analysisof support vector machines classifiers inbreast cancer mammography recognition[J].Neural Computing & Applications,2014,24(5):1163-1177.
  • 5Wang J,Chen H,Wu X,et al.Comparison ofDiagnostic Efficiency of Breast Cancer Imagingin Chinese Women:Digital Mammography,Ultrasound, MRI, and Combinations of TheseModalities[J].Journal of Medical Imaging andHealth Informatics,2015,5(7):1488-1493.
  • 6Amano M,Ogura K,Ozaki Y,et al.Twocases of primary small cell carcinoma of thebreast showing non-mass-like pattern ondiagnostic imaging and histopathology[J].Breastcancer:the journal of the Japanese Breast CancerSociety,2015,22(4):437-441.
  • 7Tripathy D.Personalizing management of patients at elevated breastcancer risk:Wheredowestart?[J].TheBreastJournal,2014,20(6):569-570.
  • 8de Glas NA,de Craen AJ,BastiaannetE,et al.Effect of implementation of the massbreast cancer screening programme in olderwomen in the Netherlands:ppulation basedstudy[J].Bmj Clinical Research,2014,349(sep121):g5410-g5410.
  • 9Zhong X,Shen H,Yuan Y, et al.Intraductalcarcinoma and carcinosarcoma with bonemetastases presenting in one breast:A casereport[J].Oncology Letters, 2014,8(6):2678-2680.
  • 10Moller P,Tharmaratnam K,Howell A,etal.Tumour characteristics and survival in familialbreast cancer prospectively diagnosed by annualmammography[J].Breast cancer research andtreatment,2015,152(1):87-94.

共引文献49

同被引文献39

引证文献3

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