Li ManMan, Xu Bin, Shao Yingbo, Liu Hui, Du BingJie, Yuan JunHui
The Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou, China.
The First Affiliated Hospital of Henan University of Science and Technology, Luoyang, China.
Breast J. 2017 Nov;23(6):656-662. doi: 10.1111/tbj.12811. Epub 2017 Apr 10.
The objective of this study was to analyze the patterns of breast tumor shrinkage in patients after neo-adjuvant chemotherapy (NAC) based on magnetic resonance imaging (MRI), and to evaluate the influential factors. Preoperative breast dynamic contrast-enhanced MRI was performed on 88 patients before NAC, every 2 weeks during their chemotherapy treatment, and the week before their surgery. The MRI enhancement pattern of the primary tumors was classified into one of four categories based on BI-RADS-MRI: type I (postcontrast mass image), II (multiple small masses image), III (postcontrast mass image with peripheral non-mass enhancement image), and IV (nonmass enhancement image). Multivariate regression and χ test analyses were employed to establish significant associations. Two kinds of tumor regression patterns were observed: concentric shrinkage was observed in 39 lesions of 88 patients (44.3%), and nests or dendritic shrinkage was observed for the other 49 lesions (55.7%). ER+/HER2-, HER2+, and type I lesions were observed in 23 (62.2%), 21 (63.6%), and 29 (60.0%) patients, respectively, out of 49 nest or dendritic shrinkage pattern lesions. Triple negative breast cancer lesions, and type II, III, and IV lesions were observed in 13 (72.2%), 9 (81.8%), 10 (62.5%), and 10 (76.9%) patients, respectively, out of 39 lesions with a concentric shrinkage pattern. Molecular subtypes (χ =7.171, P<.05) and the MRI schedule of enhancement (χ =11.244, P<.05) were significantly associated with the tumor regression patterns. Multivariate analysis showed molecular subtypes (P<.05) and MRI pattern enhancement (P<.05) were significant predictive factors. Molecular subtypes and the MRI enhancement patterns of the primary tumors were significant predictive factors for tumor regression patterns of breast cancer after NAC.
本研究的目的是基于磁共振成像(MRI)分析新辅助化疗(NAC)后患者乳腺肿瘤的缩小模式,并评估影响因素。对88例患者在NAC前、化疗期间每2周以及手术前一周进行术前乳腺动态对比增强MRI检查。根据乳腺影像报告和数据系统(BI-RADS)-MRI,将原发性肿瘤的MRI增强模式分为四类之一:I型(增强后肿块图像)、II型(多个小肿块图像)、III型(增强后肿块图像伴周边非肿块增强图像)和IV型(非肿块增强图像)。采用多因素回归分析和χ²检验分析来确定显著相关性。观察到两种肿瘤退缩模式:88例患者中的39个病灶(44.3%)呈现同心性缩小,另外49个病灶(55.7%)呈现巢状或树枝状缩小。在49个巢状或树枝状缩小模式病灶中,分别有23例(62.2%)、21例(63.6%)和29例(60.0%)患者为雌激素受体阳性/人表皮生长因子受体2阴性(ER+/HER2-)、人表皮生长因子受体2阳性(HER2+)和I型病灶。在39个同心性缩小模式病灶中,分别有13例(72.2%)、9例(81.8%)、10例(62.5%)和10例(76.9%)患者为三阴性乳腺癌病灶以及II型、III型和IV型病灶。分子亚型(χ² =7.171,P<0.05)和MRI增强时间(χ² =11.244,P<0.05)与肿瘤退缩模式显著相关。多因素分析显示分子亚型(P<0.05)和MRI增强模式(P<0.05)是显著的预测因素。原发性肿瘤的分子亚型和MRI增强模式是NAC后乳腺癌肿瘤退缩模式的显著预测因素。