Identification of Preoperative Magnetic Resonance Imaging Features Associated with Positive Resection Margins in Breast Cancer: A Retrospective Study.
10.3348/kjr.2018.19.5.897
- Author:
Jung Hyun KANG
1
;
Ji Hyun YOUK
;
Jeong Ah KIM
;
Hye Mi GWEON
;
Na Lae EUN
;
Kyung Hee KO
;
Eun Ju SON
Author Information
1. Department of Radiology, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul 06273, Korea. EJSONRD@yuhs.ac
- Publication Type:Original Article
- Keywords:
Breast cancer;
Breast-conserving surgery;
MRI;
BI-RADS;
Resection margin
- MeSH:
Breast Neoplasms*;
Breast*;
Humans;
Logistic Models;
Magnetic Resonance Imaging*;
Mastectomy, Segmental;
Multivariate Analysis;
Retrospective Studies*
- From:Korean Journal of Radiology
2018;19(5):897-904
- CountryRepublic of Korea
- Language:English
-
Abstract:
OBJECTIVE: 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. MATERIALS AND METHODS: 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. RESULTS: 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). CONCLUSION: 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.
