Tsushima Yoshito, Takahashi-Taketomi Ayako, Endo Keigo
Department of Diagnostic Radiology and Nuclear Medicine, Gunma University Hospital, Gunma, Japan.
J Magn Reson Imaging. 2009 Aug;30(2):249-55. doi: 10.1002/jmri.21854.
To review the published reports concerning the apparent diffusion coefficient (ADC) value evaluation for the differentiation between malignant and benign breast tumors, articles were searched with the inclusion criteria: (a) a 1.5-T unit was used; (b) the diagnostic criteria were clearly stated; (c) diffusion-weighted images (DWIs) were obtained, and ADC value was calculated; (d) ADC values of breast tumors were reported with mean +/- standard deviation (SD). Meta-analysis from 12 articles revealed that the pooled sensitivity and specificity were 0.89 (95% confidence interval [CI], 0.85-0.91) and 0.77 (95% CI, 0.69-0.84), respectively, and that only the maximum b factor correlated with the mean ADC values of malignant and benign tumors, and the noncancerous breast tissue (P< 0.05,P < 0.01,P< 0.05, respectively). In conclusion, ADC evaluation is useful for the differentiation between malignant and benign breast tumors.
为了回顾已发表的关于表观扩散系数（ADC）值评估在乳腺良恶性肿瘤鉴别诊断中的应用的报告，我们按照以下纳入标准检索了相关文章：（a）使用1.5-T设备；（b）明确阐述诊断标准；（c）获得扩散加权成像（DWI）并计算ADC值；（d）报告乳腺肿瘤的ADC值时采用均值±标准差（SD）。对12篇文章进行的荟萃分析显示，汇总敏感度和特异度分别为0.89（95%置信区间[CI]，0.85 - 0.91）和0.77（95%CI，0.69 - 0.84），并且只有最大b值与恶性和良性肿瘤以及非癌性乳腺组织的平均ADC值相关（分别为P < 0.05、P < 0.01、P < 0.05）。总之，ADC评估对于乳腺良恶性肿瘤的鉴别诊断是有用的。
