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肺腺癌CT征象与病理组织学亚型及分化程度的对照研究 被引量:15

Control Study Between CT Signs and Pathological Subtypes and Differentiation Degree in Lung Adenocarcinoma
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摘要 目的探讨肺腺癌CT征象与其病理组织学亚型及浸润性腺癌(IAC)分化程度之间的关系。方法回顾性分析394例肺腺癌的CT表现,比较其浸润前病变(PIL)、微浸润腺癌(MIA)和IAC三种病理组织学亚型之间及IAC的不同分化程度之间的征象差异。统计学方法采用卡方(χ^2)检验。结果PIL与MIA的各个CT征象无明显统计学差异(P>0.05),IAC组的胸膜牵拉、毛刺、分叶、肿瘤血管、支气管截断、支气管充气、空洞等征象的发生率明显高于其他两组,差异有统计学意义(P<0.05);IAC组病灶的大小及密度明显大于其他两组(P<0.05);支气管充气征在高分化亚组的发生率最高,分叶征最低,低分化亚组胸膜牵拉、毛刺、肿瘤血管、支气管截断、空洞征象的发生率明显高于其他两亚组(P<0.05);低分化亚组病灶的大小和密度均明显高于高、中分化亚组(P<0.05)。结论肺腺癌的CT征象与其病理组织学亚型及其分化程度存在一定关系,对帮助临床预测肿瘤类型及制定治疗方案有重要价值。 Objective To study the relationship between CT signs and pathological subtypes and degree ofdifferentiation in lung adenocarcinoma.Methods We retrospectively reviewed 394 cases’CT images of lung adenocarcinoma and com-pared the diversity of imagings among PIL,MIA and IAC,as well as degrees of differentiation of IAC by the 2 test.Re-sults There was no statistical CT sign difference between PIL and MIA(P>0.05),the incidences of pleura traction sign,spicule sign,lobulation sign,tumor vascular sign,bronchial cut-off sign,air bronchogram sign and cavity sign in IAC than other two groups(P<0.05).The size and density of IAC were higher than PIL and MIA(P<0.05);the incidence of air bronchogram sign in highly differentiated subgroup was higher than moderately and poorly differentiated subgroup,while in-cidence of lobulation sign was the lowest in the three subgroups above.There was the highest incidence of pleura traction sign,spicule sign,tumor vascular sign,bronchial cut-off sign and cavity sign in the poorly differentiated subgroup(P<0.05);The size and density of the poorly differentiated subgroup was higher than the highly and moderately differentiated subgroup(P<0.05).Conclusion CT signs of lung adenocarcinoma are closely related to pathological subtypes and degree of differentiation,which would have great value in helping to predict tumor types and formulating treatment plans in clinical setting.
作者 单文莉 周围 孔丹 曹辉 柏根基 郭莉莉 SHAN Wenli;ZHOU Wei;KONG Dan(Department of Radiology,The Affiliated Huaian No.1 People’s Hospital of Nanjing Medical University,Huaian 223300,P.R.China)
出处 《临床放射学杂志》 CSCD 北大核心 2019年第12期2312-2316,共5页 Journal of Clinical Radiology
关键词 肺腺癌 体层摄影术 X线计算机 征象 病理 分化 Lung adenocarcinoma Tomography,X-ray computed Sign Pathology Differentiation
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