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作 者:张坦[1] 张晟[1] 忻晓洁[1] 穆佳丽[1] 赵静[1]
机构地区:[1]天津医科大学肿瘤医院超声诊疗科,国家肿瘤临床医学研究中心,天津市"肿瘤防治"重点实验室,天津300060
出 处:《中国实验诊断学》2015年第10期1646-1650,共5页Chinese Journal of Laboratory Diagnosis
摘 要:目的探讨甲状腺超声影像和数据报告系统(TI-RADS)分级结合多变量统计分析在诊断甲状腺良恶结节中的应用价值。方法回顾性分析经病理证实的247例单发甲状腺结节患者的临床资料,对患者进行TI-RADS分级,并运用多变量统计分析方法对病例进行分析,筛选重要声像特征。结果甲状腺良性结节组和甲状腺恶性结节组比较,肿块的大小、肿块的性质、形态、边界、回声、钙化、钙化类型、纵横比,CDFI均具有统计学差别。多变量统计结果显示甲状腺良性结节组和甲状腺恶性结节能够很好的被分离,而甲状腺恶性结节的不同分类也能很好的被区分。此外,肿物的形态、边界和钙化的异常可能预示着甲状腺结节的恶性结果,而肿物的纵横比和高是鉴别恶性结节级别的重要特征。结论 TI-RADS分级联合多变量统计分析将更有利于对甲状腺良恶性结节的诊断。Objective To explore the application of thyroid imaging reporting and data system(TI-RADS)classification in combination with multivariate statistical analysis in the diagnosis of benign and malignant thyroid nodules.Methods Two hundred and forty seven histologically proved thyroid nodules in 247 patients were analyzed according to the TI-RADS classification.Multivariate statistical analysis was used to assess the classification of TI-RADS and find out the important parameters identified the benign and malignant thyroid nodules.Results There were statistical difference in the size and property of the goiter,border,shape,solid echo,calcifications,calcifications pattern,a short-to-long axis ratio and CDFI between benign and malignant thyroid nodules.The results of multivariate statistical analysis showed that there were clearly classified between benign and malignant thyroid nodules and shape,border and calcifications were important feature identified the benign and malignant thyroid nodules.In addition,a short-to-long axis ratio and the height of the goiter were important for the identification of different malignant thyroid nodules.Conclusion The combination of TI-RADS classification and multivariate statistical analysis showed better performance in the differential diagnosis between malignant and benign thyroid nodules.
关 键 词:甲状腺结节 超声检查 甲状腺影像和数据报告系统 多变量统计分析
分 类 号:R445.1[医药卫生—影像医学与核医学]
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