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使用 3T MRI 上的定量扩散加权序列对乳腺良恶性病变进行鉴别。

Differentiation between benign and malignant breast lesions using quantitative diffusion-weighted sequence on 3 T MRI.

机构信息

Department of Biomedical Imaging, University of Malaya Research Imaging Centre (UMRIC), Kuala Lumpur, Malaysia.

Department of Biomedical Imaging, University of Malaya Research Imaging Centre (UMRIC), Kuala Lumpur, Malaysia.

出版信息

Clin Radiol. 2014 Jan;69(1):63-71. doi: 10.1016/j.crad.2013.08.007. Epub 2013 Oct 22.

DOI:10.1016/j.crad.2013.08.007
PMID:24156797
Abstract

AIM

To investigate the capability and diagnostic accuracy of diffusion-weighted imaging (DWI) in differentiating benign from malignant breast lesions using 3 T magnetic resonance imaging (MRI).

MATERIALS AND METHODS

Women with suspicious or indeterminate breast lesions detected at MRI, mammogram and/or ultrasound were recruited for dynamic contrast-enhanced (DCE)-MRI and DWI prior to their biopsy. Image fusion of DCE-MRI with apparent diffusion coefficient (ADC) map was utilized to select the region of interest (ROI) for ADC calculation in the area that showed the most avid enhancement. DWI was performed using two sets of b-values at 500 and 1000 s/mm(2), respectively.

RESULTS

Fifty women were recruited and the final analysis comprised 44 breast lesions, 31 of which were malignant and 13 were benign. Significant results were obtained between ADC values of benign and malignant lesions (p < 0.001). The cut-off ADC values for benign and malignant lesions were 1.21 × 10(-3) mm(2)/s for b = 500 s/mm(2) and 1.22 × 10(-3) mm(2)/s for b = 1000 s/mm(2), respectively. The sensitivity of DCE-MRI alone was 100% with a specificity of 66.7%. When DCE-MRI was combined with b = 1000 s/mm(2), the specificity rose to 100%, while only mildly affecting sensitivity (90.6%). No significant correlation was found between ADC values and prognostic factors, such as lymph node metastasis, tumour size, oestrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor 2 (HER2) status, and tumour grades.

CONCLUSION

The present study provides consistent evidence to support DWI as a diagnostic tool for breast lesion characterization. A combination of DCE-MRI with DWI is suggested to improve the sensitivity and specificity of lesion characterization.

摘要

目的

利用 3T 磁共振成像(MRI)探讨扩散加权成像(DWI)鉴别乳腺良恶性病变的效能和诊断准确性。

材料与方法

对 MRI、乳腺 X 线摄影及/或超声检查发现的可疑或不确定乳腺病变的女性患者进行前瞻性研究,所有患者均在活检前行动态对比增强(DCE)-MRI 和 DWI 检查。将 DCE-MRI 与表观扩散系数(ADC)图进行图像融合,在强化最活跃的区域选择 ROI 进行 ADC 值计算。DWI 采用 500s/mm²和 1000s/mm² 两个 b 值进行扫描。

结果

共纳入 50 例女性患者,最终分析纳入 44 个乳腺病变,其中 31 个为恶性病变,13 个为良性病变。良性和恶性病变的 ADC 值之间存在显著差异(p<0.001)。b 值为 500s/mm² 时,良性和恶性病变的 ADC 截断值分别为 1.21×10(-3)mm²/s 和 1.22×10(-3)mm²/s;b 值为 1000s/mm² 时,ADC 截断值分别为 1.21×10(-3)mm²/s 和 1.22×10(-3)mm²/s。DCE-MRI 的单独检测灵敏度为 100%,特异度为 66.7%。当 DCE-MRI 与 b 值为 1000s/mm² 联合应用时,特异度升高至 100%,而灵敏度仅略有下降(90.6%)。ADC 值与淋巴结转移、肿瘤大小、雌激素受体(ER)、孕激素受体(PR)、人表皮生长因子受体 2(HER2)状态和肿瘤分级等预后因素之间无显著相关性。

结论

本研究为 DWI 作为一种乳腺病变特征性诊断工具提供了一致的证据。建议将 DCE-MRI 与 DWI 相结合,以提高病变特征性诊断的灵敏度和特异度。

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