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乳腺肿瘤弹性成像的诊断价值及联合弥散成像的意义 被引量:3

The diagnostic value of ultrasound elastography in breast tumor and analyze the significance of joint DWI
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摘要 目的探讨超声弹性成像(UE)在乳腺肿瘤诊断中的价值,并与弥散成像(DWI)进行对比分析。方法收集经病理检查证实的160例患者影像资料,共182处病灶,术前均行超声UE及DWI,UE采用5分法诊断,DWI依据所测病灶ADC值诊断,分别与病理检查结果进行比较。结果 UE诊断恶性肿瘤89处,其中,正确诊断恶性肿瘤78处,漏诊7处,良性误诊为恶性11处;诊断良性肿瘤93处,正确诊断86处,漏诊11处,恶性误诊为良性7处,敏感性为87.6%,特异性为92.5%,准确性为93.9%。UE联合DWI诊断恶性肿瘤86处,其中,正确诊断恶性肿瘤81处,漏诊4处,良性误诊为恶性5处;诊断良性肿瘤96处,正确诊断92处,漏诊5处,敏感性为94.1%,特异性为95.8%,准确性为97.2%。结论 UE对乳腺良、恶性肿瘤诊断有较高的敏感性、特异性、准确性,联合DWI检查能明显提高对乳腺肿瘤良、恶性诊断的敏感性、特异性及准确性。 Objective To evaluate the value of ultrasound elastography in the diagnosis of breast tumor ,and compared with imaging analysis .Methods To collect the image data of 160 patients ,confirmed by pathology ,a total of 182 ,preoperative ultra-sound elasticity imaging and DWI ,ultra sonic elastography diagnosis by five points method ,DWI on the basis of the measured ADC value in the diagnosis of lesions ,respectively compared with pathology .Results Ultrasound elastography diagnosis of 89 malignant tumors ,of which the correct diagnosis of 78 malignant tumors ,7 misdiagnosis ,11 benign misdiagnosed as malignant diagnosis;93 benign tumors ,86 of correct diagnosis ,11 misdiagnosis ,7 malignant misdiagnosed as benign ,sensitivity was 87 .6% ,specificity of 92 .5% ,the Accuracy was 93 .9% ;ultrasound elastography and DWI combined imaging diagnosis of 86 malignant tumors ,81 correct diagnosis of malignant tumors ,4 misdiagnosis ,5 from the benign misdiagnosed as malignant diagnosis ,96 benign tumors ,92 correct diagnosis ,5 misdiagnosis ,the sensitivity was 94 .1% ,specificity of 95 .8% ,the accuracy was 97 .2% .Conclusion Ultrasound elas-tography in breast benign and malignant tumor diagnosis with higher sensitivity and specificity ,accuracy ,joint DWI can significantly improve the sensitivity and specificity of breast benign and malignant tumor diagnosis ,accuracy .
出处 《重庆医学》 CAS 北大核心 2015年第9期1224-1225,1228,共3页 Chongqing medicine
关键词 弹性成像 乳腺肿瘤 弥散成像 ultrasonic elastography breast neoplasms diffusion weighted imaging
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