Department of Radiology, Faculty of Medicine, Saga University, 5-1-1 Nabeshima, Saga, 849-8501, Japan.
Department of Surgery, Faculty of Medicine, Saga University, 5-1-1 Nabeshima, Saga, 849-8501, Japan.
Jpn J Radiol. 2021 Mar;39(3):246-253. doi: 10.1007/s11604-020-01049-6. Epub 2020 Oct 1.
To determine the relationship between the maximum slope (MS) of ultrafast dynamic contrast-enhanced (DCE)-MRI and prognostic factors of breast cancer.
One hundred thirteen patients with 118 breast cancers were included in this study. The ultrafast DCE sequence was acquired using a higher parallel imaging factor. Its spatial resolution was 0.9 × 0.9 × 2.5 mm and its temporal resolution was 8.3 s/phase. Each lesion was automatically segmented, and the ROI of highest enhancement in the lesion was identified. In this ROI, the MS was calculated. The MS of each lesion was compared with various prognostic factors of breast cancer.
The MS of invasive cancer (median: 9.81%/sec) was significantly higher than that of ductal carcinoma in situ (median: 7.26%/sec) (p = 0.001). In the ROC analysis, the area under the ROC curve (AUC) was 0.7295. The MS of invasive cancer with axillary lymph node (LN) metastasis (median: 11.97%/sec) was significantly higher than that without axillary LN metastasis (median: 9.425%/sec) (p = 0.0024). In the ROC analysis, the AUC was 0.7177. In addition, the MS became significantly higher as the level of the proliferation marker ki-67 increased (correlation coefficient: 0.3317) (p = 0.0009).
MS of ultrafast DCE-MRI is useful for predicting the prognostic factors of breast cancer. Higher maximum slope (MS) is significantly associated with an invasive breast cancer component. Higher MS is significantly associated with an axillary lymph node metastasis. MS becomes significantly higher with increasing ki-67 (a proliferation marker). Ultrafast MRI is useful for predicting the prognostic factors of breast cancer.
确定超快速动态对比增强(DCE)MRI 的最大斜率(MS)与乳腺癌预后因素之间的关系。
本研究纳入了 113 例 118 个乳腺癌患者。使用更高的并行成像因子获取超快速 DCE 序列。其空间分辨率为 0.9×0.9×2.5mm,时间分辨率为 8.3s/相位。自动对每个病变进行分割,并确定病变中增强程度最高的 ROI。在该 ROI 中,计算 MS。将每个病变的 MS 与乳腺癌的各种预后因素进行比较。
浸润性癌的 MS(中位数:9.81%/sec)明显高于导管原位癌(中位数:7.26%/sec)(p=0.001)。在 ROC 分析中,ROC 曲线下面积(AUC)为 0.7295。腋窝淋巴结(LN)转移的浸润性癌的 MS(中位数:11.97%/sec)明显高于无腋窝 LN 转移的浸润性癌(中位数:9.425%/sec)(p=0.0024)。在 ROC 分析中,AUC 为 0.7177。此外,随着增殖标志物 ki-67 水平的升高,MS 显著升高(相关系数:0.3317)(p=0.0009)。
超快速 DCE-MRI 的 MS 可用于预测乳腺癌的预后因素。较高的 MS 与浸润性乳腺癌成分显著相关。较高的 MS 与腋窝淋巴结转移显著相关。随着 ki-67(增殖标志物)的增加,MS 显著升高。超快速 MRI 可用于预测乳腺癌的预后因素。