Department of Radiology, Ehime University Graduate School of Medicine, Shitsukawa, Toon, Ehime, 791-0295, Japan.
Department of Radiology, Ehime University Graduate School of Medicine, Shitsukawa, Toon, Ehime, 791-0295, Japan.
Clin Radiol. 2020 May;75(5):398.e1-398.e8. doi: 10.1016/j.crad.2019.12.021. Epub 2020 Feb 1.
To evaluate the utility of synthetic magnetic resonance imaging (MRI) of the breast in predicting the Ki-67 status in patients with oestrogen receptor (ER)-positive breast cancer.
Forty-nine patients with 50 histopathologically proven breast cancers who underwent additional synthetic MRI were enrolled in the present study. Using synthetic MRI images, T1 and T2 relaxation times and their standard deviations (SD) in the breast lesions before (T1-Pre, T2-Pre, PD-Pre, SD of T1-Pre, SD of T2-Pre, SD of PD-Pre) and after (T1-Gd, T2-Gd, PD-Gd, SD of T1-Gd, SD of T2-Gd, SD of PD-Gd) contrast agent injection were obtained. These quantitative values were compared between the low Ki-67 expression (<14%) lesions (low-proliferation group: n=23) and high Ki-67 expression (≥14%) lesions (high-proliferation group: n=27).
The univariate analysis showed that the SD of T1-Gd (p<0.001) and T2-Gd (p=0.042) were significantly higher in the high-proliferation group than in the low-proliferation group. Multivariate analysis further showed that the SD of T1-Gd was a significant and independent predictor of Ki-67 expression, with an area under the receiver operating characteristic (AUROC) curve of 0.885. The sensitivity, specificity, and accuracy of the SD of T1-Gd with an optimal cut-off value of 98.5 were 77.8%, 87%, and 82%, respectively.
The SD of T1-Gd obtained from synthetic MRI was useful to predict Ki-67 status.
评估合成磁共振成像（MRI）在预测雌激素受体（ER）阳性乳腺癌患者 Ki-67 状态中的作用。
本研究纳入了 49 例经组织学证实的 50 例乳腺病变患者，这些患者均接受了额外的合成 MRI 检查。使用合成 MRI 图像，获得了病变区 T1 和 T2 弛豫时间及其在对比剂注射前后的标准差（T1-Pre、T2-Pre、PD-Pre、T1-Pre 的 SD、T2-Pre 的 SD、PD-Pre 的 SD），并比较了低 Ki-67 表达（<14%）病变（低增殖组：n=23）和高 Ki-67 表达（≥14%）病变（高增殖组：n=27）之间的这些定量值。
单因素分析显示，高增殖组 T1-Gd（p<0.001）和 T2-Gd（p=0.042）的 SD 明显高于低增殖组。多因素分析进一步表明，T1-Gd 的 SD 是 Ki-67 表达的一个显著独立预测因子，其受试者工作特征（ROC）曲线下面积（AUROC）为 0.885。当 T1-Gd 的 SD 的最佳截断值为 98.5 时，其灵敏度、特异度和准确度分别为 77.8%、87%和 82%。
合成 MRI 获得的 T1-Gd 的 SD 有助于预测 Ki-67 状态。
