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作 者:翟志坚 尚伟[1] 李文清[1] 刘文军[1] ZHAI Zhi-jian;SHANG Wei;LI Wen-qing;LIU Wen-jun(Dept.of Radiology,Anyang People's Hospital,Anyang 455000,China)
出 处:《泰山医学院学报》2021年第4期270-272,共3页Journal of Taishan Medical College
基 金:河南省医学科技攻关项目(项目编号:201702306)。
摘 要:目的探讨多层螺旋CT(MSCT)低剂量扫描对良恶性肺孤立小结节(SPN)的鉴别诊断价值。方法选取2018年11月—2020年11月于安阳市人民医院接受治疗的68例SPN患者为研究对象,所有患者均接受MSCT检查确认结节良恶性,以手术病理为“金标准”分析MSCT低剂量扫描在SPN良恶性鉴别中的诊断价值。结果以病理结果为“金标准”,MSCT扫描在SPN良恶性鉴别中的准确性为92.65%,灵敏性为93.18%,特异性为91.67%,与病理结果一致较好(Kappa=0.841)。恶性结节的典型影像学特征为边缘不规则或分叶,有毛刺,内部结构均匀;良性结节边缘清晰,内部多伴有钙化特征,两组影像学特征比较,差异有统计学意义(P<0.05)。结论MSCT低剂量扫描在良恶性SPN中的鉴别诊断价值较高,能通过两者边缘和内部结构的影像特征进行有效鉴别,临床应用价值较高。Objective:To investigate the value of low-dose multi-slice spiral CT(MSCT)in the differential diagnosis of benign and malignant solitary pulmonary nodules(SPN).Methods:68 patients with SPN who were treated in Anyang People's Hospital from November 2018 to November 2020 were selected as the research objects.All patients received MSCT to confirm the benign and malignant nodules,and MSCT low-dose scans in the diagnostic value of SPN benign and malignant differentiation were analyzed with surgical pathology as the"gold standard".Results:With the use of the pathological results as the"gold standard",the accuracy of MSCT scanning in the differentiation of SPN benign and malignant was 92.65%,the sensitivity was 93.18%,and the specificity was 91.67%,which was in good agreement with the pathological results(Kappa=0.841).The typical imaging features of malignant nodules were irregular or lobed edges,blurring,and uniform internal structure;benign nodules had clear edges and most of them were accompanied by calcification.The imaging features of the two groups were compared,and the difference was statistically significant(P<0.05).Conclusion:The low-dose MSCT scan is of high value in the differential diagnosis of benign and malignant SPN.It can be effectively differentiated by the imaging features of the edges and internal structure of the two,and has high clinical application value.
关 键 词:肺孤立小结节 多层螺旋CT 低剂量扫描 良恶性鉴别
分 类 号:R445[医药卫生—影像医学与核医学]
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