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支气管腔内超声图像评分系统在肺结节良恶性诊断中的应用
引用本文:王梦,陈众众,刘颖,闫文锦,李一然,王玉秀,许文景,姚汉清,朱湘平,徐兴祥,闵凌峰. 支气管腔内超声图像评分系统在肺结节良恶性诊断中的应用[J]. 中华肺部疾病杂志(电子版), 2021, 14(2): 158-163. DOI: 10.3877/cma.j.issn.1674-6902.2021.02.005
作者姓名:王梦  陈众众  刘颖  闫文锦  李一然  王玉秀  许文景  姚汉清  朱湘平  徐兴祥  闵凌峰
作者单位:1. 225001 扬州,扬州大学医学院附属苏北人民医院呼吸与危重症医学科·南京大学医学院附属苏北医院·大连医科大学附属苏北医院
基金项目:国家自然科学基金资助项目(81870033)。
摘    要:目的 建立基于支气管腔内超声(EBUS)图像的评分系统从而判别肺结节良恶性.方法 回顾性纳入自2018年5月1日至2020年3月1日期间于苏北人民医院气管镜室行气管镜检查的患者资料,所有患者胸部计算机断层扫描(computer tomography,CT)检查见肺部≤3 cm的肺结节而行常规支气管镜检查未见明显异常.使...

关 键 词:支气管腔内超声  图像形态特征  肺结节  良恶性鉴别
收稿时间:2020-11-25

Application value of the scoring system based on endobronchial ultrasound image in the diagnosis of pulmonary nodules
Wang Meng,Chen Zhongzhong,Liu Ying,Yan Wenjin,Li Yiran,Wang Yuxiu,Xu Wenjing,Yao Hanqing,Zhu Xiangping,Xu Xingxiang,Min Lingfeng. Application value of the scoring system based on endobronchial ultrasound image in the diagnosis of pulmonary nodules[J]. Chinese Journal of lung Disease(Electronic Edition), 2021, 14(2): 158-163. DOI: 10.3877/cma.j.issn.1674-6902.2021.02.005
Authors:Wang Meng  Chen Zhongzhong  Liu Ying  Yan Wenjin  Li Yiran  Wang Yuxiu  Xu Wenjing  Yao Hanqing  Zhu Xiangping  Xu Xingxiang  Min Lingfeng
Affiliation:1. The Department of Respiratory and Critical Care Medicine of North Jiangsu People′s Hospital affiliated to Yangzhou University Medical College, North Jiangsu Hospital affiliated to Nanjing University Medical College, North Jiangsu Hospital affiliated to Dalian Medical University, Yangzhou 225001, China
Abstract:Objective To attempt to develop a simple scoring system based on images of endobronchial ultrasound(EBUS)to discriminate between benign and malignant pulmonary nodules.Methods data of patients who undergone bronchoscopy in the Bronchoscopy Room of North Jiangsu People′s Hospital during May 1,2018 and March 1,2020 were retrospectively included.all of the patients′chest CT scan showed pulmonary nodules≤3 cm,while routine bronchoscopy showed no obvious abnormalities.Ultrasound probe guided biopsy and brush examination were used to assist in the diagnosis of the disease.Patients with no definite diagnosis were further subjected to invasive surgeries or observations after the treatment for at least 3 months to obtain the final diagnosis.Eight different EBUS image characteristics including lesion shape,margin,border,internal echo strength,homogeneous,or heterogeneous internal echoe,air bronchogram,irregular anechoic area,concentric circles were observed,and the relationship between these image characteristics and the nature of pulmonary nodules were analyzed,a simple scoring system was established,datas were analyzed using SPSS software.Results Among 114 patients with pulmonary nodules,65 were benign and 49 were malignant.Three image features in EBUS images,including round or round shape of lesions,discontinuous margin,and heterogeneous echogenicity,with statistically significant(P<0.05).According to the simple scoring system established,ROC curve was drawn.When the score was set at 7,the sensitivity(65.3%)and specificity(78.5%)were the highest,and this was the best point for diagnosis.When the score is≥7,the diagnosis of pulmonary malignant lesions was more accurate.Kappa consistency was calculated with a coefficient of 0.441(95%CI 0.274-0.607,P<0.01),showing moderate strength consistency.Conclusion EBUS can provide image characteristic information to differentiate the nature of pulmonary nodules,and the scoring system based on the images has a good application value in differentiating benign from malignant pulmonary nodules.
Keywords:Endobronchial ultrasound  Image characteristics  Pulmonary nodules  Differentiate the nature of pulmonary nodules
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