Department of Radiology and Research, Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
Department of Radiology and Research, Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea; Department of Radiology, Seoul National University Hospital Healthcare System Gangnam Center, Seoul, Republic of Korea.
Clin Breast Cancer. 2018 Feb;18(1):e115-e121. doi: 10.1016/j.clbc.2017.08.003. Epub 2017 Aug 18.
We evaluated the tumor response after neoadjuvant chemotherapy (NAC) in breast cancer patients using dynamic contrast-enhanced (DCE) magnetic resonance (MR) imaging parameters assessed using a commercially available computer-aided system. We also analyzed their correlation with pathologic tumor cellularity.
We retrospectively reviewed the data from 130 patients with breast cancer who had undergone NAC followed by surgery from January to October 2013. Maximum diameter, volume, peak enhancement, and persistent, plateau, and washout-enhancing components were measured using a computer-aided system on DCE MR images and correlated with the Miller-Payne grading system. Patients with a Miller-Payne grade of 5 were classified into the pathologic complete response (pCR) group. Patients with grades 1, 2, 3, and 4 were included in the non-pCR group. Diagnostic performance was evaluated using receiver operating characteristic curve analysis.
Twenty patients were included in the pCR group and 110 patients in the non-pCR group. Of the 6 parameters, the rate of tumor volume reduction (r = 0.729, P < .001) showed the strongest correlation with the Miller-Payne grading system, followed by the maximum diameter (r = 0.706, P < .001) and washout component (r = 0.606, P < .001). The area under the receiver operating characteristic curve (Az value) was the largest for the rate of volume reduction (Az = 0.895), followed by the maximum diameter (Az = 0.891).
The tumor volume changes in breast cancers before and after NAC, measured automatically using a commercially available computer-aided system and a clinical DCE MR imaging protocol might be the most accurate tool for evaluation of the pathologic response after NAC.
我们使用商业上可用的计算机辅助系统评估动态对比增强(DCE)磁共振成像(MR)参数评估新辅助化疗(NAC)后乳腺癌患者的肿瘤反应,并分析其与肿瘤细胞密度的相关性。
我们回顾性分析了 2013 年 1 月至 10 月间接受 NAC 后手术的 130 例乳腺癌患者的数据。使用计算机辅助系统在 DCE-MR 图像上测量最大直径、体积、峰值增强、持续增强、平台期增强和洗脱增强成分,并与 Miller-Payne 分级系统相关联。Miller-Payne 分级为 5 的患者被归类为病理完全缓解(pCR)组,分级为 1、2、3 和 4 的患者被归入非 pCR 组。使用受试者工作特征曲线分析评估诊断性能。
20 例患者归入 pCR 组,110 例归入非 pCR 组。在 6 个参数中,肿瘤体积缩小率(r=0.729,P<0.001)与 Miller-Payne 分级系统相关性最强,其次是最大直径(r=0.706,P<0.001)和洗脱成分(r=0.606,P<0.001)。受试者工作特征曲线下面积(Az 值)最大的是体积缩小率(Az=0.895),其次是最大直径(Az=0.891)。
使用商业上可用的计算机辅助系统和临床 DCE-MR 成像方案自动测量 NAC 前后乳腺癌的肿瘤体积变化可能是评估 NAC 后病理反应最准确的工具。