摘要
目的探讨彩色多普勒血流成像(CDFI)联合超声弹性成像(UE)检查对乳腺良恶性结节的鉴别诊断价值。方法80例乳腺结节患者(共92个结节)均进行CDFI以及UE检查,以手术病理检查结果作为诊断“金标准”,分析CDFI、UE单独及联合检查对乳腺良恶性结节的鉴别诊断效能。结果CDFI检查诊断乳腺恶性结节的准确度为78.26%(72/92),特异度为77.78%(42/54),灵敏度为78.95%(30/38);UE检查诊断乳腺恶性结节的准确度为76.09%(70/92),特异度为88.89%(48/54),灵敏度为57.89%(22/38);CDFI联合UE检查诊断乳腺恶性结节的准确度为91.30%(84/92),特异度为88.89%(48/54),灵敏度为94.74%(36/38);CDFI联合UE检查诊断乳腺恶性结节的灵敏度及准确度均高于UE、CDFI单独检查。结论CDFI联合UE检查对乳腺良恶性结节具有较高的鉴别诊断效能,比单一诊断更具有优势。
Objective To investigate the differential diagnosis value of color Doppler flow imaging(CDFI)combined with ultrasound elastography(UE)examination in the benign and malignant breast nodules.Method A total of 80 breast nodules patients(92 nodules)were examined by CDFI and UE.The result of pathological examination was used as the"gold standard"to analyze the differential diagnostic efficacy of CDFI and UE alone and combined examination in benign and malignant breast nodules.Result The accuracy,specificity and sensitivity of CDFI examination in the diagnosis of malignant breast nodules were 78.26%(72/92),77.78%(42/54)and 78.95%(30/38),respectively.The accuracy,specificity and sensitivity of UE in the diagnosis of malignant breast nodules were 76.09%(70/92),88.89%(48/54)and 57.89%(22/38).The accuracy,specificity and sensitivity of CDFI combined with UE examination in the diagnosis of malignant breast nodules were 91.30%(84/92),88.89%(48/54)and 94.74%(36/38).The sensitivity and accuracy of CDFI combined with UE examination in the diagnosis of malignant breast nodules were higher than those of UE and CDFI alone examination.Conclusion CDFI combined with UE examination has higher differential diagnostic efficiency for benign and malignant breast nodules,which is more advantageous than single diagnosis.
作者
吴娇
祝中荣
吴晓霞
肖娜
黄晓波
WU Jiao;ZHU Zhongrong;WU Xiaoxia;Xiaona;HUANG Xiaobo(Department of Ultrasound,Pingxiang Ganxi Cancer Hospital,Pingxiang 337000,Jiangxi,China;Department of Ultrasound,Pingxiang Third People’s Hospital,Pingxiang 337000,Jiangxi,China)
出处
《癌症进展》
2024年第1期52-55,共4页
Oncology Progress
基金
江西省卫生健康委科技计划项目(202212111)。