虚拟导航下经引导鞘超声支气管镜对周围型肺癌的诊断价值研究

    Diagnostic Value of Endobronchial Ultrasound-Guide Sheath Under Virtual Bronchoscopic Navigation for Peripheral Lung Cancer

    • 摘要: 目的 探讨虚拟导航下经引导鞘超声支气管镜(endobronchial ultrasound-guide sheath under virtual bronchoscopic navigation,EBUS-GS-VBN)对周围型肺癌的诊断价值。 方法 选择2018年7月至2020年7月于河北中石油中心医院呼吸科收治的计算机断层成像(computed tomography,CT)高度疑诊周围型肺癌患者134例作为研究对象,全部患者均接受病理组织学检查,分析EBUS-GS-VBN对病变大小(直径≥3 cm组和直径<3 cm组)、与胸膜距离(距离胸膜≥3 cm组和距离胸膜<3 cm组),病变性质(实性病变组和非实性病变组)的诊断敏感性、特异性、阳性预测值(positive predictive value,PPV)、阴性预测值(negative predictive value,NPV)和准确度,分析EBUS-GS-VBN对病变位置(肺上叶组、肺中叶组和肺下叶组)的诊断符合率。 结果 EBUS-GS-VBN对周围型肺癌的诊断敏感性、特异性、PPV、NPV和准确度分别为98.04%、93.75%、98.04%、93.75%、97.01%。进一步亚组分析发现,EBUS-GS-VBN对病变大小,胸膜距离,病变性质的诊断敏感性、特异性、PPV、NPV和准确度及EBUS-GS-VBN对病变位置的诊断符合率均>90%。 结论 EBUS-GS-VBN对周围型肺癌的诊断价值满意,可准确判定病灶大小、胸膜距离、病变性质和病变位置等,值得临床推广使用。

       

      Abstract: Objective To explore the diagnostic value of endobronchial ultrasound-guide sheath under virtual bronchoscopic navigation (EBUS-GS-VBN) for peripheral lung cancer. Methods 134 cases of patients whose computed tomography (CT) report highly suspected diagnosis of peripheral lung cancer from respiratory inpatient department of Hebei Petro China Central Hospital during the period of July 2018 to July 2020 were included, all patients were examined by histopathology, the diagnostic sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV) and accuracy of lesion diameter (≥3 cm and <3 cm), pleural distance (≥3 cm and <3 cm), lesion properties (solid and non-solid) by EBUS-GS-VBN were analyzed, the diagnostic coincidence rate of lesion sites (upper lobe, middle lobe and lower lobe) by EBUS-GS-VBN were analyzed. Results The sensitivity, specificity, PPV, NPV and accuracy of EBUS-GS-VBN for peripheral lung cancer were respectively 98.04%, 93.75%, 98.04%, 93.75% and 97.01%. Further subgroup analysis found the diagnostic sensitivity, specificity, positive predictive value, negative predictive value and accuracy of lesion size, pleural distance, lesion properties by EBUS-GS-VBN and the diagnostic coincidence rate of the lesion site by EBUS-GS-VBN were all >90%. Conclusions The value of EBUS-GS-VBN was satisfying in the diagnosis of peripheral lung cancer, and it can accurately determine lesion size, pleural distance, lesion properties and lesion sites, which was worthy of clinical popularization.

       

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