CAJ | 학술논문

目的评价并筛选鉴别甲状腺结节性病变良恶性的CT特征指标.方法回顾性分析90例患者121个结节的CT表现,对照病理学结果,利用Logistic回归分析筛选出主要CT诊断指标.结果121个结节有99例良性,22例恶性.单因素分析:年龄(P=0.475)、形态(P=0.541)无统计学差异,性别、数量、钙化、大小、边界、边缘、囊变、晕征、“半岛样”强化、残圈征差异有统计学意义(P<0.05).Logistic回归分析,边界、囊变、“半岛样”强化差异有统计学意义(P<0.05).结论病变边界、是否存在囊变和“半岛样”强化是鉴别甲状腺结节性病变良恶性的三个特征性预测指标.
목적평개병사선감별갑상선결절성병변량악성적CT특정지표.방법회고성분석90례환자121개결절적CT표현,대조병이학결과,이용Logistic회귀분석사선출주요CT진단지표.결과121개결절유99례량성,22례악성.단인소분석:년령(P=0.475)、형태(P=0.541)무통계학차이,성별、수량、개화、대소、변계、변연、낭변、훈정、“반도양”강화、잔권정차이유통계학의의(P<0.05).Logistic회귀분석,변계、낭변、“반도양”강화차이유통계학의의(P<0.05).결론병변변계、시부존재낭변화“반도양”강화시감별갑상선결절성병변량악성적삼개특정성예측지표.
Objective To evaluate and screen out the specific characters of thyroid benign and malignant nodules on CT.Methods 121 thyroid nodules in 90 patients were reviewed retrospectively with CT.According to the pathological results,the main independent CT characters were screened out by Logistic regression analysis. Results There were 121 thyroid nodules,including 99 benign nodules and 22 malignant nodules.There were no significant differences in age(P=0.475) and configuration(P=0.541) by single factor analysis between benign and malignant nodules,and significant differences in sex,number,calcification,size,boundary,margin, cysts,halo sign,peninsular enhancement and residual circle sign(P<0.05).There were significant differences in boundary,cysts and peninsular enhancement by Logistic regression analysis(P<0.05).Conclusions The boundary, cysts and peninsular enhancement of thyroid nodules were three independent characters of thyroid nodules to predict benign or malignant nodules on CT.