Lee Shin Ho, Cho Nariya, Kim Seung Ja, Cha Joo Hee, Cho Kyung Soo, Ko Eun Sook, Moon Woo Kyung
Department of Radiology, Seoul National University College of Medicine and Institute of Radiation Medicine, Seoul National University Medical Research Center, Chongno-Gu, Seoul, Korea.
Korean J Radiol. 2008 Jan-Feb;9(1):10-8. doi: 10.3348/kjr.2008.9.1.10.
To correlate high resolution dynamic MR features with prognostic factors in breast cancer.
One hundred and ninety-four women with invasive ductal carcinomas underwent dynamic MR imaging using T1-weighted three-dimensional fast low-angle shot (3D-FLASH) sequence within two weeks prior to surgery. Morphological and kinetic MR features were determined based on the breast imaging and reporting data system (BI-RADS) MR imaging lexicon. Histological specimens were analyzed for tumor size, axillary lymph node status, histological grade, expression of estrogen receptor (ER), expression of progesterone receptor (PR), and expression of p53, c-erbB-2, and Ki-67. Correlations between the MR features and prognostic factors were determined using the Pearson chi(2) test, linear-by-linear association, and logistic regression analysis.
By multivariate analysis, a spiculated margin was a significant, independent predictor of a lower histological grade (p < 0.001), and lower expression of Ki-67 (p = 0.007). Rim enhancement was significant, independent predictor of a higher histological grade (p < 0.001), negative expression of ER (p = 0.001), negative expression of PR (p < 0.001) and a larger tumor size (p = 0.006). A washout curve may predict a higher level of Ki-67 (p = 0.05). Most of the parameters of the initial enhancement phase cannot predict the status of the prognostic factors. Only the enhancement ratio may predict a larger tumor size (p = 0.05).
Of the BI-RADS-MR features, a spiculated margin may predict favorable prognosis, whereas rim enhancement or washout may predict unfavorable prognosis of breast cancer.
将乳腺癌的高分辨率动态磁共振成像(MR)特征与预后因素相关联。
194例浸润性导管癌女性患者在手术前两周内采用T1加权三维快速低角度激发(3D-FLASH)序列进行动态MR成像。基于乳腺影像报告和数据系统(BI-RADS)MR成像词典确定形态学和动力学MR特征。对组织学标本分析肿瘤大小、腋窝淋巴结状态、组织学分级、雌激素受体(ER)表达、孕激素受体(PR)表达以及p53、c-erbB-2和Ki-67的表达。采用Pearson卡方检验、线性-线性关联和逻辑回归分析确定MR特征与预后因素之间的相关性。
多因素分析显示,毛刺状边缘是组织学分级较低(p<0.001)和Ki-67表达较低(p = 0.007)的显著独立预测因素。边缘强化是组织学分级较高(p<0.001)、ER阴性表达(p = 0.001)、PR阴性表达(p<0.001)和肿瘤较大(p = 0.006)的显著独立预测因素。廓清曲线可能预示Ki-67水平较高(p = 0.05)。初始强化期的大多数参数不能预测预后因素的状态。只有强化率可能预测肿瘤较大(p = 0.05)。
在BI-RADS-MR特征中,毛刺状边缘可能预示预后良好,而边缘强化或廓清可能预示乳腺癌预后不良。