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囊腔类肺癌和非囊腔类肺癌的影像表现与病理特征对比研究

Comparative analysis of imaging and histopathology in cystic lung cancer and non-cystic lung cancer
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摘要 目的比较囊腔类肺癌和非囊腔类肺癌的影像学与病理组织学表现,并分析其相关性。方法回顾性分析2017年至2021年期间在中国医科大学附属盛京医院胸外科行肺叶切除或部分切除的113例患者的病理组织学和影像学资料。其中,囊腔类肺癌56例,非囊腔类肺癌57例。采用多元线性回归分析囊腔类肺癌影像与病理的相关性。结果囊腔类肺癌与非囊腔类肺癌的影像表现和病理组织学比较,无显著差异。多因素回归分析显示,囊腔类肺癌囊壁最大厚度(P=0.022,OR=37.140,95%CI:1.669~826.346)为判断病变浸润的独立危险因素。结论囊腔类肺癌具有腺癌生长的普遍特征,推测其从非典型腺瘤样增生和原位腺癌到浸润性腺癌的组织学序贯进展是相对合理的。 Objective To compare the imaging and histopathology features of cystic and non-cystic lung cancer,and analyze their correlations.Methods A retrospective analysis was conducted using histopathological and imaging data from 113 patients who underwent lobectomy or partial lobectomy at the Department of Thoracic Surgery,Shengjing Hospital of China Medical University,between 2017 and 2021.Among these patients,56 were diagnosed with cystic lung cancer and 57 with non-cystic lung cancer.Multiple linear regression analysis was performed to analyze the correlations between the imaging and histopathology features for cystic and non-cystic lung cancer.Results No significant differences in imaging and histopathological features were observed between cystic and non-cystic lung cancers.Multivariate regression analysis identified maximum wall thickness of cystic lung cancer(P=0.022,OR=37.140,95%confidence interval:1.669-826.346)as an independent risk factor for assessing lesion infiltration.Conclusion Cystic lung cancer shares common characteristics with adenocarcinoma.Therefore,one can reasonably speculate that the histopathological sequential progression starts from atypical adenomatous hyperplasia,progresses to in situ adenocarcinoma and microinvasive adenocarcinoma,and finally culminates in invasive adenocarcinoma.
作者 李文超 邓美岩 张苏宁 LI Wenchao;DENG Meiyan;ZHANG Suning(Department of Thoracic Surgery,Shengjing Hospital of China Medical University,Shenyang 110004,China)
出处 《中国医科大学学报》 CAS 北大核心 2023年第11期1031-1036,共6页 Journal of China Medical University
关键词 囊腔类肺癌 体层摄影术 X线计算机 病理学 cystic lung cancer tomography X-ray computer pathology
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