Identification of Preoperative Magnetic Resonance Imaging Features Associated with Positive Resection Margins in Breast Cancer: A Retrospective Study.

Identification of Preoperative Magnetic Resonance Imaging Features Associated with Positive Resection Margins in Breast Cancer: A Retrospective Study.
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DOI:
10.3348/kjr.2018.19.5.897
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发表时间:
2018-09
影响因子:
4.8
通讯作者:
Son EJ
Son EJ
中科院分区:
医学2区
文献类型:
--
作者:
Kang JH;Youk JH;Kim JA;Gweon HM;Eun NL;Ko KH;Son EJ

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确定哪些术前乳房磁共振成像(MRI)结果和临床病理特征与乳腺癌患者保乳手术(BCS)时切除边缘阳性相关。我们回顾了2015年行BCS的120例乳腺癌患者(平均年龄53.3岁,年龄27-79岁)的术前乳房MRI和临床病理特征。分析MRI上肿瘤大小、多灶性、增强病灶类型(肿块无肿块增强[NME] vs肿块伴或不伴肿块的NME)、肿块特征(形状、边缘、内部增强特征)、NME(分布、内部增强模式)和乳腺实质增强(BPE;弱、强)。我们还评估了年龄、肿瘤大小、组织学、淋巴血管浸润、T分期、N分期和激素受体。采用单因素和多因素logistic回归分析来确定临床病理特征、MRI表现和阳性切除边缘之间的相关性。在单因素分析中,MRI上的肿瘤大小,多灶性,有无肿块的NME,以及NME的节段性分布与阳性切除边缘相关。在临床病理因素中,浸润性乳腺癌的肿瘤大小和原位成分与阳性切缘显著相关。多因素分析显示,有无肿块的NME是切除边缘阳性的独立预测因子(比值比[or] = 7.00; p < 0.001)。强BPE是切除边缘阳性的弱预测因子(OR = 2.59; p = 0.076)。有或没有肿块的非肿块增强与乳腺癌患者切除边缘阳性显著相关。在NME患者中,节段性分布与阳性切缘显著相关。
To determine which preoperative breast magnetic resonance imaging (MRI) findings and clinicopathologic features are associated with positive resection margins at the time of breast-conserving surgery (BCS) in patients with breast cancer. We reviewed preoperative breast MRI and clinicopathologic features of 120 patients (mean age, 53.3 years; age range, 27–79 years) with breast cancer who had undergone BCS in 2015. Tumor size on MRI, multifocality, patterns of enhancing lesions (mass without non-mass enhancement [NME] vs. NME with or without mass), mass characteristics (shape, margin, internal enhancement characteristics), NME (distribution, internal enhancement patterns), and breast parenchymal enhancement (BPE; weak, strong) were analyzed. We also evaluated age, tumor size, histology, lymphovascular invasion, T stage, N stage, and hormonal receptors. Univariate and multivariate logistic regression analyses were used to determine the correlation between clinicopathological features, MRI findings, and positive resection margins. In univariate analysis, tumor size on MRI, multifocality, NME with or without mass, and segmental distribution of NME were correlated with positive resection margins. Among the clinicopathological factors, tumor size of the invasive breast cancer and in situ components were significantly correlated with a positive resection margin. Multivariate analysis revealed that NME with or without mass was an independent predictor of positive resection margins (odds ratio [OR] = 7.00; p < 0.001). Strong BPE was a weak predictor of positive resection margins (OR = 2.59; p = 0.076). Non-mass enhancement with or without mass is significantly associated with a positive resection margin in patients with breast cancer. In patients with NME, segmental distribution was significantly correlated with positive resection margins.
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