摘要
目的 本研究分析多层螺旋CT征象与病理结果进行比较,以早期发现并提高囊腔型肺癌诊断准确率。方法 回顾性分析60例经手术和病理诊断确诊为囊腔型肺癌的MSCT和病理表现,并具体分析3组患者MSCT影像表现特点。结果结果 (1)所有原发病灶均位于胸膜下2cm范围内,所有病灶直径范围具有差异。(2)60例囊腔性肺癌MSCT表现中病灶有呈类圆形、磨玻璃征、蜂窝征、分叶征、血管集束征,形态学呈Ⅳ型。MSCT表现在3组微浸润腺癌、原位癌、浸润性腺癌病理类型上差异显著(P<0.05)。结论 囊腔型肺癌MSCT表现具有特征性,一般以腺癌最多见。由于囊腔型肺癌容易被误诊为肺结核或肺气肿等,分析囊腔型肺癌的MSCT具体形态及特点并进行动态MSCT复查,有利于提高囊腔型肺癌疾病诊断准确率,早期发现,及时治疗,可以减少病死率。
Objective In this study,the signs of multi-slice spiral CT were compared with the pathological results in order to detect early and improve the diagnostic accuracy of cystic lung cancer.MethodsThe MSCT and pathological manifestations of 60 cases of cystic lung cancer diagnosed by surgery and pathology were retrospectively analyzed,and the characteristics of MSCT imaging features of the three groups of patients were specifically analyzed.Results(1)All primary lesions were located within 2 cm below the pleura,and the diameters of all lesions were different.(2)In the MSCT manifestations of 60 cases of cystic lung cancer,the lesions were round,ground-glass,honeycomb,lobulated,and vascular clusters,and the morphology was typeⅣ.There were significant differences in the pathological types of microinvasive adenocarcinoma,carcinoma in situ and invasive adenocarcinoma among the three groups(P<0.05).ConclusionThe MSCT manifestations of cystic lung cancer are characteristic,and adenocarcinoma is the most common.Since cystic lung cancer is easily misdiagnosed as tuberculosis or emphysema,analyzing the specific morphology and characteristics of cystic lung cancer and conducting dynamic MSCT reexamination is conducive to improving the diagnostic accuracy of cystic lung cancer,early detection and timely treatment,and reducing the mortality rate.
作者
何应梅
HE Ying-mei(Medical Imaging Department,Xinyang Maternal and Child Health Care Hospital,Xinyang 464000,Henan Province,China)
出处
《罕少疾病杂志》
2024年第6期50-52,共3页
Journal of Rare and Uncommon Diseases
关键词
囊腔型肺癌
多层螺旋CT
浸润性腺癌
肺气肿
Cystic Lung Cancer
Multi-slice Spiral CT
Invasive Adenocarcinoma
Emphysema
作者简介
第一作者/通讯作者:何应梅,女,主治医师,主要研究方向:放射医学(诊断)。E-mail:mj120419@163.com。
