【摘要】 目的 评价病灶周围组织与病灶表观扩散系数（apparent diffusion coefficient,ADC）的差值在乳腺良恶性病变诊断中的应用价值。方法 64例患者经扩散加权成像（diffusion weighted imaging,DWI）及动态增强T₁WI共发现65个可疑病灶。测量病灶周围腺体的ADC值和病灶ADC值,计算出差值。利用ROC曲线评价ADC差值法在诊断乳腺病灶良恶性中的表现。结果 65个病灶中有35个恶性,30个良性,病灶ADC值最佳诊断点为1.28×10^-3 mm²/s,诊断的敏感性和特异性分别为76.7%和94.3%;ADC差值法最佳诊断点为0.63×10^-3 mm²/s,诊断的敏感性和特异性分别为88.6%和96.7%。结论 ADC差值法能够减少个体生理因素、不同机型、扫描参数对ADC值的影响,在诊断乳腺病灶良恶性方面有较高的诊断价值。更多还原

【Abstract】 Objective To evaluate the difference of the surrounding normal tissue and lesion apparent diffusion coefficient（apparent diffusion coefficient,ADC） value in identify malignant and benign breast lesions.Methods There were 65 suspicious malignant breast lesions received by DWI scan and dynamic contrast-enhanced MRI（DEC-MRI） in 64 patients.The ADC value of breast lesions and peripherial glands were respectively measured,and then the difference was calculated.Receiver operating characteristic curve（ROC） analysis was used to evaluate the difference’ s performance in identification between benign and malignant breast lesions.Results There were 35 malignant lesions and 30 benign lesions.For the malignant lesions,the optimal threshold values for ADC of breast lesions were 1.28×10^-3 mm²/s.The area under the ROC was 92.2%,the sensitivity and specificity were 76.7% and 94.3%.While the optimal threshold values for ADC were 0.63 × 10^-3 mm²/s in the benign lesions.The area under the ROC was 94.9%,the sensitivity and specificity were 88.6% and 96.7%.Conclusion ADC difference can reduce the influences of individual physiological factors,different machine,scanning parameters,which play an important role in identification between benign and malignant breast lesions.更多还原