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作 者:郭小芳[1] 杨倩 万洁[1] 殷汉民[1] 刘玉林[1] GUO Xiaofang;YANG Qian;WAN Jie;YIN Hanmin;LIU Yulin(Department of Radiology,Hubei Cancer Hospital,Wuhan 430079, China)
出 处:《实用放射学杂志》2019年第6期904-908,共5页Journal of Practical Radiology
摘 要:目的探讨BIGRADS分类3、4类乳腺病变的X线表现与病理诊断的相关性。方法回顾性分析2013年7月至2015年2月所有乳腺X线中评估为BIGRADS分类3、4类病灶的影像征象,其中442例患者共469个病灶,统计学分析影像征象与良恶性之间的关系。结果469个病灶中3类病灶130个,经病理证实,恶性病灶13个,良性病灶117个;4类病灶339个,恶性98个,良性241个。肿块形态、肿块边缘、钙化形态、钙化分布、结构扭曲、非对称性致密影、腋前淋巴结肿大与病变良恶性之间均有统计学差异(P<0.05)。乳腺腺体类型、肿块密度、病灶位置与病变良恶性之间均无统计学意义(P>0.05)。上述有意义指标进行Logistic回归分析,得出F值4.311,显著性概率P<0.001,肿块形态、肿块边缘、钙化形态、钙化分布、结构扭曲、非对称性致密影、腋前淋巴结肿大与良恶性有相关性。结论BIGRADS分类3、4类乳腺病变的X线表现中肿块形态、肿块边缘、钙化形态、钙化分布、结构扭曲、非对称性致密影、腋前淋巴结肿大对于良恶性的鉴别有意义,有助于提高BIGRADS分类3、4类病变的诊断准确性。Objective To investigate the correlation between mammographic features in BIGRADS 3,4 and the corresponding histological findings.Methods 442 patients with 46 9 lesions categorized as 3 ,4 in BIGRADS on mammography from July 20 1 3 to February 20 1 5 were retrospectively analyzed.The correlation between mammographic features and histological findings was statistically analyzed.Results Among the 469 lesions,130 lesions were categorized as BIGRADS 3,with 13 pathologically confirmed malignant lesions and 117 benign lesions.There were 3 3 9 lesions in BIGRADS 4,with 9 8 malignant lesions and 241 benign lesions.There were statistical differences between benign and malignant lesions (P<0.05)in mass morphology,mass margin,calcification morphology,calcification distribution,architectural distortion,asymmetries and axillary adenopthy.There were no statistically significant differences (P>0.05 )in breast composition, mass density or location.The logistic regression analysis with above mentioned significance indexs showed that the F value was 4.3 1 1 , with the significance probability (P<0.001 ).The mass shape,the edge of the mass,the calcification shape,the calcification distribution,the structure distortion,the asymmetrical compact shadow,and the axillary lymph node enlargement were all correlated with the benign and malignant of the tumors.Conclusion The mammographic features of BIGRADS category 3 and 4 including the mass morphology, margin,calcification morphology,calcification distrubution,architectural distortion,asymmetries,and axillary adenopthy could help us to improve the accuracy diagnoses between benign and malignant lesions.
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