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肺腺癌的螺旋CT表现特征及其病理学基础
引用本文:余建群,杨志刚,廖方义,张尚福,白红利,朱培菊.肺腺癌的螺旋CT表现特征及其病理学基础[J].放射学实践,2002,17(6):524-526.
作者姓名:余建群  杨志刚  廖方义  张尚福  白红利  朱培菊
作者单位:1. 610041,成都,四川大学华西医院放射科
2. 610041,成都,四川大学华西医院病理科
基金项目:中华人民共和国教育部回国人员科研基金 (编号 :2 0 0 2 - 2 4 7)
摘    要:目的:探讨肺腺癌局部生长的螺旋CT表现特点与组织病理基础的基础关性。方法:34例手术病理证实的肺腺癌采用扫描。结合组织病理发现,观察和评价和评价在螺旋CT上肿瘤内部结构,密度分布、边缘特征及周围肺组织改变。结果:34例肺腺癌中,肿块密度均匀14例(41%),不均匀20例(59%),分叶片22例(65%),空泡征10例(29%),短毛刺16例(47%),支气管气相7例(21%),血管集束征16例(47%),胸膜凹陷征19例(56%),毛玻璃样(ground galass opacity,GGO)征7例(21%),GGO征病理上代表肿瘤细胞沿肺泡壁生长,同时残留含气肺泡组织。结论:肺腺癌的螺旋CT表现可反映肿瘤生长的组织病理学特征。

关 键 词:肺腺癌  螺旋CT表现  病理学
文章编号:1000-0313(2002)06-0524-03
修稿时间:2002年1月16日

Adenocarcinoma of the lung:helical CT and pathologic correlation
YU Jianqun,YANG Zhigang,LIAO Fangyi,et al..Adenocarcinoma of the lung:helical CT and pathologic correlation[J].Radiologic Practice,2002,17(6):524-526.
Authors:YU Jianqun  YANG Zhigang  LIAO Fangyi  
Institution:YU Jianqun,YANG Zhigang,LIAO Fangyi,et al.Department of Radiology,West China Hospital,Sichuan University,Chengdu 610041
Abstract:Objective:To study the correlation of helical CT features of lung adenocarcinomas with histopathologic findings of tumor growth.Methods:We examined the helical CT features of 34 lung adenocarcinomas confirmed by surgery and pathology.Combined with histopathologic findings of the tumor growth,the internal structures,density distribution,margin and surrounding lung parenchyma of the tumor shown on CT were analyzed.Results:14(41%) of 34 appeared as homogeneous,other 20(59%) as heterogeneous mass.The lobulation,vacuole sign,fine spiculation,air bronchogram,vessel convergence,pleural tail and ground glass opacity (GGO) were seen in 22(65%),10(29%),16(47%),7(21%),16(47%),19(56%),and 7(21%) of 34,respectively.GGO corresponded to the histopathologic findings of lepidic growth with retained air spaces in alveoli.Conclusion:Features of the lung adenocarcinoma shown on helical CT represented the histopathologic characteristics of different tumor growth.
Keywords:Neoplasms  lung  Helical CT  Tomography  X  ray computed
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