CAJ | 학술논문

目的探讨应用乳腺图像报告数据系统(BI-RADS)和超声弹性成像(UE)诊断乳腺良恶性病变的价值.方法 2011年5月-2012年12月在首都医科大学附属北京世纪坛医院超声科共发现117例女性乳腺结节患者(122个乳腺结节).对122个病理证实的乳腺结节进行BI-RADS超声分级和UE评分诊断,参照病理结果对比分析二者级二者联合诊断的敏感性、特异性,用ROC曲线下面积评价其联合应用价值.结果 122个乳腺结节病理证实良性72个、恶性50个；按标准分级和评分诊断时,UE评分和二者联合与BI-RADS分级在特异性间差异有统计学意义(P＜0.05),敏感性间差异无统计学意义(P＞0.05),按Youden指数诊断则在敏感性间差异有统计学意义(P＜0.05),特异性间差异无统计学意义(P＞0.05);UE评分和二者联合诊断间差异无统计学意义(P ＞0.05)；ROC曲线下面积均＞0.7.结论 BI-RADS分级和UE评分诊断乳腺病变均具有较好的应用价值,UE评分在某种程度上优于BI-RADS分级,而两者联合应用可能意义更大.
목적 탐토응용유선도상보고수거계통(BI-RADS)화초성탄성성상(UE)진단유선량악성병변적개치.방법 2011년5월-2012년12월재수도의과대학부속북경세기단의원초성과공발현117례녀성유선결절환자(122개유선결절).대122개병리증실적유선결절진행BI-RADS초성분급화UE평분진단,삼조병리결과대비분석이자급이자연합진단적민감성、특이성,용ROC곡선하면적평개기연합응용개치.결과 122개유선결절병리증실량성72개、악성50개；안표준분급화평분진단시,UE평분화이자연합여BI-RADS분급재특이성간차이유통계학의의(P＜0.05),민감성간차이무통계학의의(P＞0.05),안Youden지수진단칙재민감성간차이유통계학의의(P＜0.05),특이성간차이무통계학의의(P＞0.05);UE평분화이자연합진단간차이무통계학의의(P ＞0.05)；ROC곡선하면적균＞0.7.결론 BI-RADS분급화UE평분진단유선병변균구유교호적응용개치,UE평분재모충정도상우우BI-RADS분급,이량자연합응용가능의의경대.
Objective To explore the diagnostic values of breast imaging and reporting data system (BI-RADS) and ultrasonic elastography (UE) for benign and maglinant breast lesions.Methods A total of 122 breast lesions were studied with BI-RADS and UE scoring to compare the sensitivity and specificity according to the pathologic results.Receiver operating characteristic (ROC) curves were used to assess the diagnostic value of BI-RADS,UE and combination.Results Among them,pathological examinations showed that there were 72 benign and 50 malignant cases.Statistically significant differences in specificity existed between BI-RADS lexicon (as ≥4) and UE or combination (P ＜ 0.05) while sensitivity showed no difference (P ＞ 0.05) ; Statistically significant differences in sensitivity existed between BI-RADS (as ≥ 4B) and UE or combination (P ＜ 0.05) while there was no difference in specificity (P ＞ 0.05) ; No statistically significant differences existed between UE or combination.The area under the ROC curve was above 0.7.Conclusion Both BI-RADS and UE have a great diagnostic value for breast disease.UE is somewhat superior to BI-RADS.However,the value of combination may be more significant.