摘要
目的分析虚拟支气管镜导航(virtual bronchoscopic navigation,VBN)联合径向超声支气管镜(radial endobronchial ultrasound,R-EBUS)在周围型肺癌中的诊断意义。方法选择2022年1月至2024年1月我院收治的行VBN+R-EBUS引导肺穿刺活检96例患者,采用χ^(2)检验比较结节均质/非均质回声、边界特征、CT影像学诊断与组织病理诊断相关性,采用Logistic回归分析,绘制受试者工作特征曲线(receiver operating characteristic curve,ROC)曲线,分析R-EBUS超声图像特征在周围型肺癌中的诊断意义。结果R-EBUS超声显示实性均质回声66例(68.75%),实性非均质回声30例(43.48%);边界清楚57例(59.38%),边界欠清楚39例(40.62%)。术前经肺螺旋CT诊断为肺癌67例(69.79%),其他非肿瘤疾病29例(30.21%)。组织病理学诊断肺肿瘤58例(60.42%),其中腺癌39例(40.63%),鳞癌9例(9.38%),其他肿瘤10例(10.42%);组织病理学诊断非肿瘤疾病38例(39.58%),其中炎症24例(25.00%),局灶肉芽肿性炎或结核6例(6.25%),其他非肿瘤疾病8例(8.33%)。均质回声及组织病理诊断为肺癌51例(53.13%)、非肺癌15例(15.63%),非均质回声组织病理学诊断为肺癌7例(7.29%),非肺癌23例(23.96%)。均质回声与肺癌组织病理诊断相关(P<0.001),回声诊断肺癌的灵敏度为87.93%,特异度为60.53%。边界欠清楚及组织病理诊断为肺癌24例(25.00%)、非肺癌34例(35.41%),边界清楚组织病理诊断为肺癌15例(15.63%),非肺癌23例(23.96%),边界特征与肺癌组织病理诊断不关联(P>0.05)。Logistic回归分析显超声回声、肺CT,以及超声回声联合肺CT三种检测方法与肺癌组织病理诊断有一致性(P<0.001),ROC曲线分析显示,超声回声AUC:0.7423,肺CT AUC:0.7945,超声回声联合肺CT AUC:0.8827。结论R-EBUS超声图像中实性均质回声与肺癌组织病理诊断显著相关,R-EBUS联合CT影像学可提升肺癌诊断准确率。
Objective To evaluate the diagnostic value of virtual bronchoscopic navigation(VBN)combined with radial endobronchial ultrasound(R-EBUS)in peripheral lung cancer.Methods A total of 96 patients who underwent VBN+R-EBUS guided lung biopsy in our hospital from January 2022 to January 2024 were selected.Chi-square test was used to compare the correlation between homogeneous/heterogeneous nodule echo,boundary characteristics,CT diagnosis and pathological diagnosis.Logistic regression analysis and receiver operating characteristic curvecurve(ROC)curve were used.To investigate the diagnostic value of R-EBUS imaging features in peripheral lung cancer.Results Sixty-six cases(68.75%)showed homogeneous solid echogenicity,30 cases(43.48%)showed heterogeneous solid echogenicity,57 cases(59.38%)showed clear border,and 39 cases(40.62%)showed unclear border.67 cases(69.79%)of lung cancer and 29 cases(30.21%)of other non-neoplastic diseases were diagnosed by spiral CT before operation.58 cases(60.42%)of lung tumors were diagnosed by histopathology,including 39 cases(40.63%)of adenocarcinoma,9 cases(9.38%)of squamous cell carcinoma and 10 cases(10.42%)of other tumors.There were 38 cases(39.58%)of non-tumor diseases diagnosed by histopathology,including 24 cases(25.00%)of inflammation,6 cases(6.25%)of focal granulomatous inflammation or tuberculosis,and 8 cases(8.33%)of other non-tumor diseases.There were 51 cases of lung cancer(53.13%)and 15 cases of non-lung cancer(15.63%)with homogeneous echo and histopathologic diagnosis,7 cases of lung cancer(7.29%)and 23 cases of non-lung cancer(23.96%)with heterogeneous echo.Homogeneous echo was correlated with pathological diagnosis of lung cancer(P<0.001).The sensitivity and specificity of echo diagnosis of lung cancer were 87.93%and 60.53%,respectively.Borderless and histopathologically diagnosed were lung cancer in 24 cases(25.00%)and non-lung cancer in 34 cases(35.41%).Borderless and histopathologically diagnosed were lung cancer in 15 cases(15.63%)and non-lung cancer in 23 cases(23.96%).There was no correlation between boundary features and pathological diagnosis of lung cancer(P>0.05).Logistic regression analysis showed that echo,CT and echo combined with CT detection were consistent with pathological diagnosis of lung cancer(P<0.001).ROC curve analysis showed that echo AUC:0.7423,CTAUC:0.7945,and echo combined with CTAUC:0.8827.Conclusion The solid homogeneous echo in R-EBUS image is significantly correlated with the pathological diagnosis of lung cancer.R-EBUS combined with CT can improve the diagnostic accuracy of lung cancer.
作者
赵静
范晔
游雅婷
陈慧
王静
张静
Zhao Jing;Fan Ye;You Yating;Chen Hui;Wang Jing;Zhang Jing(Department of Clinical Skills Training center,Xinqiao Hospital,Army Medical University,Chongqing 400037,China;Department of Respiratory Disease,Xinqiao Hospital,Army Medical University,Chongqing 400037,China;Department of Gastroenterology Xinqiao Hospital,Army Medical University,Chongqing 400037,China)
出处
《中华肺部疾病杂志(电子版)》
2024年第4期524-528,共5页
Chinese Journal of Lung Diseases(Electronic Edition)
基金
重庆市科卫联合医学科研项目(2023QNXM010)。
关键词
周围型肺癌
虚拟支气管镜导航
径向超声支气管镜
早期诊断
Peripheral lung cancer
Virtual bronchoscopic navigation
Radial endobronchial ultrasound
Early diagnosis