节点文献

吸呼双相肺部CT在慢性阻塞性肺疾病诊断应用中的价值

The value of biphasic CT in the diagnosis of chronic obstructive pulmonary disease

  • 推荐 CAJ下载
  • PDF下载
  • 不支持迅雷等下载工具,请取消加速工具后下载。

【作者】 吴张立吴振超王雯婷吴楠杨萍梁翠霞陈德彦许家璇郑劲平王晓华贺蓓沈宁

【Author】 WU Zhangli;WU Zhenchao;WANG Wenting;WU Nan;YANG Ping;LIANG Cuixia;CHEN Deyan;XU Jiaxuan;ZHENG Jingping;WANG Xiaohua;HE Bei;SHEN Ning;Institute of Medical Technology, Peking University Health Science Center;Department of Respiratory and Critical Care Medicine, Peking University Third Hospital;Neusoft Medical Systems Co., Ltd.;State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The National Center for Respiratory Medicine, The First Affiliated Hospital of Guangzhou Medical University;Department of Radiology, Peking University Third Hospital;

【通讯作者】 沈宁;

【机构】 北京大学医学部医学技术研究院北京大学第三医院呼吸与危重症医学科东软医疗系统股份有限公司广州医科大学附属第一医院广州呼吸健康研究院国家呼吸系统疾病临床医学研究中心呼吸疾病国家重点实验室北京大学第三医院放射科

【摘要】 目的 探讨吸呼双相肺部CT检查在慢性阻塞性肺疾病(简称慢阻肺)患者中的应用,评估其在无法配合肺功能检查的潜在患者中诊断的可行性。方法 纳入67例男性受试者,年龄43~74(57.0±5.9)岁。将受试者分为两组,包括慢阻肺组26例,对照组41例。进行吸呼双相肺部CT检查,测量全肺及各肺叶的肺气肿病变占全肺/肺叶体积百分比(emph%)、功能小气道病变占全肺/肺叶体积百分比(fsad%)以及正常肺组织占全肺/肺叶体积百分比(norm%)。结果 基于全肺和各肺叶的emph%、fsad%及norm%进行主成分分析,得到影像特征函数1和影像特征函数2,从而进行两个影像特征函数的二元Logistic回归分析,得出影像特征函数1是慢阻肺患病的独立危险因素(比值比=8.749,P<0.001),并且明确影像特征函数1可以用于辅助诊断慢阻肺,受试者操作特征曲线下面积为0.843(P<0.001)。结论 影像特征函数1是慢阻肺患病的独立危险因素,可以用于慢阻肺的辅助诊断。

【Abstract】 Objective To investigate the feasibility of diagnosis of potential chronic obstructive pulmonary disease(COPD) patients who cannot finish the pulmonary function test via biphasic CT scan. Methods Sixty-seven male individuals aged 43 to 74(57.0±5.9) years were divided into a COPD group(n=26) and a control group(n=41). All individuals underwent biphasic quantitative CT scan for calculating the proportion of emphysema, functional small airway disease, and normal component of the whole lung and each lobe. Results Based on principle component analysis,two principal components “imaging feature function 1 and imaging feature function 2” were calculated and analyzed by logistic regression, which found that imaging feature function 1 was an independent risk factor of COPD(odds ratio=8.749, P<0.001), and imaging features function 1 could be used to assist the diagnosis of COPD(area under receiver operating characteristic curve=0.843, P<0.001). Conclusion Imaging features function 1 is an independent risk factor for COPD and can assist the diagnosis of COPD.

【基金】 国家重点研发计划(2018YFC1311900、2021YFC0122405)
  • 【文献出处】 中国呼吸与危重监护杂志 ,Chinese Journal of Respiratory and Critical Care Medicine , 编辑部邮箱 ,2022年02期
  • 【分类号】R563.9;R816.4
  • 【下载频次】61
节点文献中: 

本文链接的文献网络图示:

本文的引文网络