周围型浸润肺腺癌MSCT表现与其病理亚型相关性  

ASSOCIATION BETWEEN MULTISLICE COMPUTED TOMOGRAPHY FINDINGS AND PATHOLOGICAL SUBTYPES OF PERIPHERAL INVASIVE LUNG ADENOCARCINOMA

作　　者：李云[1] 靳永峰[2] 鲍山 邢晓明[3] 张亮[1] 林吉征[1] LI Yun;JIN Yongfeng;BAO Shan;XING Xiaoming;ZHANG Liang;LIN Jizheng(Department of Radiology,The Affiliated Hospital of Qingdao University,Qingdao 266003,China)

机构地区：[1]青岛大学附属医院放射科,山东青岛266003 [2]枣庄市立医院放射科 [3]青岛大学附属医院病理科

出　　处：《青岛大学学报（医学版）》2018年第6期695-698,702,共5页Journal of Qingdao University(Medical Sciences)

基　　金：青岛市科技局课题(青科计字[2011]47号KZJ-29)

摘　　要：目的探讨周围型浸润肺腺癌的MSCT表现与其病理亚型的相关性。方法回顾性分析经病理证实的370例周围型浸润肺腺癌病人的MSCT表现。依据2015年WHO肺肿瘤组织学分类标准,将肺腺癌分为附壁型、腺泡型、乳头型、实体型和微乳头型,比较5种病理亚型的相关影像学征象。结果 370例病人中,附壁型57例(15%),腺泡型202例(55%),乳头型44例(12%),实体型33例(9%),微乳头型34例(9%)。5种病理亚型间比较,肿瘤位置、毛刺征、空泡征、胸膜凹陷征、血管集束征及囊腔样改变差异无统计学意义,而肿瘤大小、分叶征及空气支气管征差异有统计学意义(χ2=10.861～24.436,P<0.05)。结论不同病理亚型的周围型浸润肺腺癌的MSCT表现有一定特征性,MSCT对周围型浸润肺腺癌病理亚型的预测有一定帮助。Objective To investigate the association between multislice computed tomography(MSCT)findings and pathological subtypes of peripheral invasive lung adenocarcinoma.Methods A retrospective analysis was performed for the MSCT findings of 370 patients with pathologically confirmed peripheral invasive lung adenocarcinoma.According to the 2015 WHO lung tumor histological classification criteria,lung adenocarcinoma is classified into lepidic,acinar,papillary,solid,and micropapillary subtypes,and the imaging findings of these five pathological subtypes were compared.Results Of all 370 patients,57(15%) had lepidic subtype,202(55%) had acinar subtype,44(12%) had papillary subtype,33(9%) had solid subtype,and 34(9%) had micropapillary subtype.There were no significant differences between the five pathological subtypes in tumor location,spiculation,vacuole sign,pleural indentation,vessel convergence sign,and cyst-like changes,while there were significant differences in tumor size,lobulation sign,and air bronchogram(χ^2=10.861-24.436,P<0.05).ConclusionMSCT findings of different pathological subtypes of peripheral invasive lung adenocarcinoma have different features and can thus help to predict the pathological subtype of this disease.

关 键 词：肺肿瘤 体层摄影术 X线计算机 病理学 

分 类 号：R734.2[医药卫生—肿瘤] R814.4[医药卫生—临床医学]