Shen Lu, Zhou Guoxing, Tong Tong, Tang Fei, Lin Yi, Zhou Jie, Wang Yibin, Zong Genlin, Zhang Lei
Department of Radiology, East Hospital, School of Medicine, Tongji University, Shanghai, 200120, China.
Department of Radiology, Shanghai Cancer Center, School of Medicine, Fudan University, Shanghai, 200032, China.
Clin Imaging. 2018 Nov-Dec;52:16-22. doi: 10.1016/j.clinimag.2018.02.010. Epub 2018 Feb 18.
To investigate the role of apparent diffusion coefficient (ADC) as an imaging biomarker for invasive ductal carcinoma (IDC) in the breast.
Seventy-one patients undergoing 3.0 Tesla DWI were retrospectively enrolled. Correlations between the ADC values and prognostic factors were evaluated.
Multivariate regression analyses showed that Ki67 expression and molecular subtype were independently associated with the ADC. Discriminant analysis excluded the ADC as a good biomarker for subtype, but the mean ADC significantly distinguished Ki67-positive (low ADC) from Ki67-negative (high ADC) lesions, as observed in the in ROC curves, with a diagnostic sensitivity of 1.00 and a cut-off value of 0.97 × 10 mm/s.
The ADC may be helpful for predicting Ki67 expression in IDC preoperatively.
探讨表观扩散系数（ADC）作为乳腺浸润性导管癌（IDC）成像生物标志物的作用。
回顾性纳入71例行3.0特斯拉扩散加权成像（DWI）的患者。评估ADC值与预后因素之间的相关性。
多因素回归分析显示，Ki67表达和分子亚型与ADC独立相关。判别分析排除ADC作为亚型的良好生物标志物，但平均ADC显著区分Ki67阳性（低ADC）和Ki67阴性（高ADC）病变，如受试者工作特征（ROC）曲线所示，诊断敏感性为1.00，截断值为0.97×10⁻³mm²/s。
ADC可能有助于术前预测IDC中Ki67的表达。
