Lan Fen, Yue Yaling, Shen Hong, Shen Hui, Wang Qiyuan, Yu Xiujing, Chen Laijuan, Li Qin, Wang Kopen, Liu Qinghua, Xia Yang
Key Laboratory of Respiratory Disease of Zhejiang Province, Department of Respiratory and Critical Care Medicine, Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China.
Department of Medical Oncology, Handan Central Hospital, Handan, China.
Front Mol Biosci. 2021 Jun 7;8:679442. doi: 10.3389/fmolb.2021.679442. eCollection 2021.
Transbronchial needle aspiration (TBNA) is a classical technique for diagnosing mediastinal-hilar lymph node enlargement. However, the diagnostic value of conventional TBNA (cTBNA) is limited in small lymph nodes. Here, we generated an innovative multi-dimensional virtual lymph node map on top of Wang's lymph node map using a Lungpoint Virtual Bronchoscopic Navigation System. The virtual bronchoscopic navigation (VBN) system was combined with computed tomography (CT) images to generate extrabronchial, endobronchial, sagittal, coronal as well as horizontal views of the 11 intrathoracic lymph node stations and their adjacent tissues and blood vessels. We displayed the specific puncture site of each lymph node station. The 11 stations were divided into four groups: right mediastinal stations, left mediastinal stations, central mediastinal stations and hilar stations. The VBN system provides a precise view of the intrabronchial landmarks, which may increase the diagnostic accuracy of intrathoracic lymph node adenopathy and assist bronchoscopists with practicing TBNA.
经支气管针吸活检术(TBNA)是诊断纵隔-肺门淋巴结肿大的经典技术。然而,传统TBNA(cTBNA)对小淋巴结的诊断价值有限。在此,我们使用Lungpoint虚拟支气管导航系统在王氏淋巴结图谱的基础上生成了一种创新的多维虚拟淋巴结图谱。虚拟支气管导航(VBN)系统与计算机断层扫描(CT)图像相结合,生成了11个胸内淋巴结站及其相邻组织和血管的支气管外、支气管内、矢状、冠状以及水平视图。我们展示了每个淋巴结站的具体穿刺部位。这11个站被分为四组:右纵隔站、左纵隔站、中纵隔站和肺门站。VBN系统提供了支气管内标志物的精确视图,这可能会提高胸内淋巴结病变的诊断准确性,并协助支气管镜检查医师进行TBNA操作。