Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Radiology, Peking University Cancer Hospital & Institute, Beijing 100142, China.
Chin J Cancer Res. 2015 Apr;27(2):209-17. doi: 10.3978/j.issn.1000-9604.2015.03.04.
To determine the value of diffusion-tensor imaging (DTI) as an adjunct to dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) for improved accuracy of differential diagnosis between breast ductal carcinoma in situ (DCIS) and invasive breast carcinoma (IBC).
The MRI data of 63 patients pathologically confirmed as breast cancer were analyzed. The conventional MRI analysis metrics included enhancement style, initial enhancement characteristic, maximum slope of increase, time to peak, time signal intensity curve (TIC) pattern, and signal intensity on FS-T2WI. The values of apparent diffusion coefficient (ADC), directionally-averaged mean diffusivity (Davg), exponential attenuation (EA), fractional anisotropy (FA), volume ratio (VR) and relative anisotropy (RA) were calculated and compared between DCIS and IBC. Multivariate logistic regression was used to identify independent factors for distinguishing IBC and DCIS. The diagnostic performance of the diagnosis equation was evaluated using the receiver operating characteristic (ROC) curve. The diagnostic efficacies of DCE-MRI, DWI and DTI were compared independently or combined.
EA value, lesion enhancement style and TIC pattern were identified as independent factor for differential diagnosis of IBC and DCIS. The combination diagnosis showed higher diagnostic efficacy than a single use of DCE-MRI (P=0.02), and the area of the curve was improved from 0.84 (95% CI, 0.67-0.99) to 0.94 (95% CI, 0.85-1.00).
Quantitative DTI measurement as an adjunct to DCE-MRI could improve the diagnostic performance of differential diagnosis between DCIS and IBC compared to a single use of DCE-MRI.
探究扩散张量成像(DTI)作为动态对比增强磁共振成像(DCE-MRI)的辅助手段,是否能提高乳腺导管原位癌(DCIS)和浸润性乳腺癌(IBC)鉴别诊断的准确性。
分析了 63 例经病理证实为乳腺癌患者的 MRI 数据。常规 MRI 分析指标包括强化方式、初始强化特征、最大斜率、达峰时间、时间信号强度曲线(TIC)模式和 FS-T2WI 上的信号强度。计算并比较了 DCIS 和 IBC 之间表观扩散系数(ADC)、平均扩散系数(Davg)、指数衰减(EA)、各向异性分数(FA)、容积比(VR)和相对各向异性(RA)的数值。采用多变量逻辑回归识别鉴别 IBC 和 DCIS 的独立因素。采用受试者工作特征(ROC)曲线评估诊断方程的诊断性能。分别或联合评估 DCE-MRI、DWI 和 DTI 的诊断效能。
EA 值、病变强化方式和 TIC 模式被确定为鉴别 IBC 和 DCIS 的独立因素。联合诊断比单独使用 DCE-MRI 具有更高的诊断效能(P=0.02),曲线下面积从 0.84(95%CI,0.67-0.99)提高到 0.94(95%CI,0.85-1.00)。
与单独使用 DCE-MRI 相比,定量 DTI 测量作为 DCE-MRI 的辅助手段可提高 DCIS 和 IBC 鉴别诊断的诊断性能。