Ma Yan, Li Gang, Li Jing, Ren Wei-Dong
From the Department of Ultrasound, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China.
Medicine (Baltimore). 2015 Sep;94(36):e1502. doi: 10.1097/MD.0000000000001502.
The correlation between color Doppler flow imaging (CDFI) and Superb Microvascular Imaging (SMI) for detecting blood flow in breast lesions was investigated, as was the diagnostic value of SMI in differentiating benign from malignant breast lesions.These lesions were evaluated using both CDFI and SMI according to Adler's method. Pathologic examination showed 57 malignant lesions and 66 benign lesions. The number of blood vessels in a single mass was detected by 2 techniques (SMI and CDFI), and the difference between the 2 values (SMI-CDFI) was calculated. The optimal threshold for the diagnosis of malignant neoplasms and the diagnostic performances of SMI, CDFI, and SMI-CDFI were calculated.For the total lesions and malignant lesions alone, the difference between SMI and CDFI for detecting blood flow was significant (P < 0.01), but the difference was not significant for benign lesions (P = 0.15). The area under the receiver operating characteristic curve was 0.73 (95% confidence interval [CI]: 0.64-0.82) for CDFI; 0.81 (95% CI: 0.74-0.89) for SMI; and 0.89 (95% CI: 0.82-0.95) for SMI-CDFI. Furthermore, the modality of "SMI-CDFI" showed the best diagnostic performance.SMI provides further microvessel information in breast lesions. The diagnostic modality of "SMI-CDFI" can improve the diagnostic performance of ultrasound in the differentiation between benign and malignant masses.
研究了彩色多普勒血流成像(CDFI)与超微血管成像(SMI)在检测乳腺病变血流方面的相关性,以及SMI在鉴别乳腺良恶性病变中的诊断价值。根据阿德勒方法,使用CDFI和SMI对这些病变进行评估。病理检查显示57个恶性病变和66个良性病变。通过两种技术(SMI和CDFI)检测单个肿块中的血管数量,并计算两个值之间的差异(SMI - CDFI)。计算诊断恶性肿瘤的最佳阈值以及SMI、CDFI和SMI - CDFI的诊断性能。对于全部病变和单独的恶性病变,SMI和CDFI在检测血流方面的差异具有统计学意义(P < 0.01),但对于良性病变差异无统计学意义(P = 0.15)。CDFI的受试者操作特征曲线下面积为0.73(95%置信区间[CI]:0.64 - 0.82);SMI为0.81(95% CI:0.74 - 0.89);SMI - CDFI为0.89(95% CI:0.82 - 0.95)。此外,“SMI - CDFI”模式显示出最佳诊断性能。SMI提供了乳腺病变中更多的微血管信息。“SMI - CDFI”诊断模式可提高超声在鉴别良恶性肿块中的诊断性能。