Dynamic contrast‐enhanced and diffusion‐weighted MRI of invasive breast cancer for the prediction of sentinel lymph node status

前哨淋巴结 医学 乳腺癌 有效扩散系数 淋巴血管侵犯 乳房磁振造影 转移 放射科 接收机工作特性 置信区间 浸润性小叶癌 优势比 曲线下面积 癌症 磁共振成像 乳腺摄影术 病理 内科学 浸润性导管癌
作者
Eun Jung Choi,Ji Hyun Youk,Hyemi Choi,Ji Soo Song
出处
期刊:Journal of Magnetic Resonance Imaging [Wiley]
卷期号:51 (2): 615-626 被引量:43
标识
DOI:10.1002/jmri.26865
摘要

Background Although sentinel lymph node biopsy (SLNB) is the current standard for identifying lymph metastasis in breast cancer patients, there are complications of SLNB. Purpose To evaluate preoperative dynamic contrast‐enhanced magnetic resonance imaging (DCE‐MRI) and diffusion‐weighted imaging (DWI) of invasive breast cancer for predicting sentinel lymph node metastasis. Study Type Retrospective. Population In all, 309 patients who underwent clinically node‐negative invasive breast cancer surgery Field Strength/Sequence 3.0T, DCE‐MRI, DWI. Assessment We collected clinicopathologic variables (age, histologic and nuclear grade, extensive intraductal carcinoma component, lymphovascular invasion, and immunohistochemical profiles) and preoperative MRI features (tumor size, background parenchymal enhancement, internal enhancement, adjacent vessel sign, whole‐breast vascularity, initial enhancement pattern, kinetic curve types, quantitative kinetic parameters, tumoral apparent diffusion coefficient [ADC], peritumoral maximal ADC, and peritumoral‐tumoral ADC ratio). Statistical Tests Multivariate logistic regressions were performed to determine independent variables associated with SLN metastasis, and the area under the receiver operating characteristic curve (AUC) was analyzed for those variables. Results 41 (13.3%) of the patients showed SLN metastasis. With MRI, tumor size (odds ratio [OR], 1.11; 95% confidence interval [CI], 1.06–1.17), heterogeneous (OR, 5.33; 95% CI, 1.71–16.58), and rim (OR, 15.54; 95% CI, 2.12–113.72) enhancement and peritumoral–tumoral ADC ratio (OR, 72.79; 95% CI, 7.15–740.82) were independently associated with SLN metastasis. Clinicopathologic variables independently associated with SLN metastasis included age (OR, 0.96; 95% CI, 0.92–0.99) and CD31 (OR, 2.90; 95% CI, 1.04–8.92). The area under the curve (AUC) of MRI features (0.80; 95% CI, 0.73–0.87) was significantly higher than for clinicopathologic variables (0.68; 95% CI, 0.60–0.77; P = 0.048) and was barely below statistical significance for combined MRI features with clinicopathologic variables (0.84; 95% CI 0.78–0.90, P = 0.057). Data Conclusion Preoperative internal enhancement on DCE‐MRI and peritumoral‐tumoral ADC ratio on DWI might be useful for predicting SLN metastasis in patients with invasive breast cancer. Level of Evidence: 3 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2020;51:615–626.

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