引用本文:刘宝东,张 毅,苏 雷,王若天,支修益.磨玻璃结节预测非小细胞肺癌浸润的研究[J].中国临床新医学,2022,15(3):202-206.
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磨玻璃结节预测非小细胞肺癌浸润的研究
刘宝东,张 毅,苏 雷,王若天,支修益
100053 北京,首都医科大学宣武医院胸外科
摘要:
[摘要] 目的 研究磨玻璃结节(GGN)预测非小细胞肺癌(NSCLC)浸润的情况。方法 回顾性选择2014年1月至2019年6月经手术切除病理证实为GGN型NSCLC患者244例,分析其CT特征和病理检查结果,评估GGN与NSCLC浸润的关联性。结果 244例GGN病理检查为腺癌,其中原位腺癌(AIS)44例,微浸润腺癌(MIA)53例,浸润性腺癌(IA)147例。9例支气管充气征GGN病理结果全部为IA。2例存在淋巴结转移。AIS组、MIA组和IA组在密度、分叶、毛刺、空泡征、支气管充气征、胸膜牵拉征、血管集束征,以及实性成分大小、实性成分比例和结节最大径方面比较差异有统计学意义(P<0.05)。受试者工作特征(ROC)曲线分析结果显示,结节最大径、实性成分大小、实性成分比例具有预测NSCLC是否浸润的价值,其中以结节最大径的诊断效能最佳。结论 GGN大小可用于预测NSCLC是否浸润。
关键词:  肺肿瘤  磨玻璃结节  计算机横断层扫描  病理
DOI:10.3969/j.issn.1674-3806.2022.03.04
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基金项目:
A study on ground-glass nodule in predicting the invasion of non-small cell lung cancer
LIU Bao-dong, ZHANG Yi, SU Lei, et al.
Department of Thoracic Surgery, Xuanwu Hospital, Capital Medical University, Beijing 100053, China
Abstract:
[Abstract] Objective To study the situation of ground-glass nodule(GGN) in predicting the invasion of non-small cell lung cancer(NSCLC). Methods Two hundred and forty-four NSCLC patients with GGN confirmed by surgery and pathology from January 2014 to June 2019 were retrospectively selected, and their computed tomography(CT) features and pathological examination results were analyzed. The association between GGN and NSCLC invasion was evaluated. Results The pathological findings of 244 GGN in the 244 cases were adenocarcinoma, including 44 cases of adenocarcinoma in situ(AIS), 53 cases of minimally invasive adenocarcinoma(MIA) and 147 cases of invasive adenocarcinoma(IA). The pathological results of 9 cases with aerated bronchus sign GGN were all IA. Lymph node metastasis was found in 2 cases. There were significant differences among the AIS group, the MIA group and the IA group in density, lobulation, spiculation, vacuole sign, aerated bronchus sign, pleural retraction sign, vascular convergence sign, as well as the size of solid components, the proportion of solid components and the maximum diameter of GGN(P<0.05). The results of receiver operating characteristic(ROC) curve analysis showed that the maximum diameter of GGN, the size of solid components, and the proportion of solid components had the value of predicting whether NSCLC invaded, and the maximum diameter of nodules had the best diagnostic efficiency. Conclusion The size of GGN can be used to predict whether NSCLC invades.
Key words:  Lung neoplasm  Ground-glass nodule(GGN)  Computed tomography(CT)  Pathology