Zhu Qiang, Yu Hang, Liang Zhixin, Zhao Wei, Zhu Minghui, Xu Yi, Guo Mingxue, Jia Yanhong, Zou Chenxi, Yang Zhen, Chen Liangan
Department of Respiratory Medicine, The First Medical Center of Chinese People Liberation Army (PLA) General Hospital, Beijing, China.
Department of Pulmonary and Critical Care Medicine, Zhongnan Hospital of Wuhan University, Wuhan, China.
Front Oncol. 2022 Oct 21;12:870556. doi: 10.3389/fonc.2022.870556. eCollection 2022.
This study aimed to explore the characteristics of optical coherence tomography (OCT) imaging for differentiating between benign and malignant lesions and different pathological types of lung cancer in bronchial lesions and to preliminarily evaluate the clinical value of OCT.
Patients who underwent bronchoscopy biopsy and OCT between February 2019 and December 2019 at the Chinese PLA General Hospital were enrolled in this study. White-light bronchoscopy (WLB), auto-fluorescence bronchoscopy (AFB), and OCT were performed at the lesion location. The main characteristics of OCT imaging for the differentiation between benign and malignant lesions and the prediction of the pathological classification of lung cancer in bronchial lesions were identified, and their clinical value was evaluated.
A total of 135 patients were included in this study. The accuracy of OCT imaging for differentiating between benign and malignant bronchial lesions was 94.1%, which was significantly higher than that of AFB (67.4%). For the OCT imaging of SCC, adenocarcinoma, and small-cell lung cancer, the accuracies were 95.6, 94.3, and 92%, respectively. The accuracy, sensitivity, and specificity of OCT were higher than those of WLB. In addition, these main OCT image characteristics are independent influencing factors for predicting the corresponding diseases through logistic regression analysis between the main OCT image characteristics in the study and the general clinical features of patients (<0.05).
As a non-biopsy technique, OCT can be used to improve the diagnosis rate of lung cancer and promote the development of non-invasive histological biopsy.
本研究旨在探讨光学相干断层扫描（OCT）成像在鉴别支气管病变中良性与恶性病变及肺癌不同病理类型的特征，并初步评估OCT的临床价值。
选取2019年2月至2019年12月在中国人民解放军总医院接受支气管镜活检及OCT检查的患者纳入本研究。在病变部位进行白光支气管镜检查（WLB）、自体荧光支气管镜检查（AFB）及OCT检查。确定OCT成像在鉴别支气管病变中良性与恶性病变及预测肺癌病理分类方面的主要特征，并评估其临床价值。
本研究共纳入135例患者。OCT成像鉴别支气管良性与恶性病变的准确率为94.1%，显著高于AFB（67.4%）。对于鳞状细胞癌、腺癌及小细胞肺癌的OCT成像检查，准确率分别为95.6%、94.3%及92%。OCT的准确率、敏感性及特异性均高于WLB。此外，通过对研究中OCT主要图像特征与患者一般临床特征进行逻辑回归分析（<0.05），这些OCT主要图像特征是预测相应疾病的独立影响因素。
作为一种非活检技术，OCT可用于提高肺癌诊断率，推动无创组织学活检的发展。
