扩散加权成像作为动态对比增强乳腺 MRI 的补充:它能帮助预测恶性肿瘤、组织学分级和复发吗?

The role of diffusion weighted imaging as supplement to dynamic contrast enhanced breast MRI: Can it help predict malignancy, histologic grade and recurrence?

机构信息

Department of Radiology, Beth Israel Deaconess Medical Center/Harvard Medical School, 330 Brookline Ave, Shapiro 4, Breast Imaging, Boston, MA 02215.

出版信息

Acad Radiol. 2019 Jul;26(7):923-929. doi: 10.1016/j.acra.2018.09.003. Epub 2018 Oct 4.

Abstract

RATIONALE AND OBJECTIVES

To evaluate the value of adding Diffusion Weighted Imaging (DWI) with Apparent Diffusion Coefficient (ADC) mapping to dynamic contrast enhanced (DCE-MRI) to distinguish benign from malignant pathology subtypes and tumor recurrence.

METHOD AND MATERIALS

In this retrospective IRB approved study, 956 consecutive patients underwent bilateral breast MRI between 1/2015 and 12/2015, with 156 BIRADS 4, 5, or 6 lesions detected in 111 patients. DWI imaging at B0, B100, B600, B1000 was performed with DCE-MRI. Values for diffusion and ADC images were recorded by two fellowship-trained breast radiologists. Mean ADC and signal intensity (SI) values were correlated with histology, tumor grade, hormone receptors (ER, PR, and HER-2)and Oncotype DX scores, when available. p ≤ 0.05 was considered significant.

RESULTS

Of 156 lesions, there were 59 (38%) benign lesions, 24 (15%) Ductal Carcinoma In-Situ, 47 (30%) Invasive Ductal Carcinoma (IDC), 15 (10%) Invasive Lobular Carcinoma (ILC) and 2 (2%) Mucinous carcinoma (MC), five (5%) mixed IDC and ILC, and four (4%) other, including tubular and rare types of malignancy. Mean ADC values for malignancy were significantly lower than for benign lesions (1085 ± 343 × 10 vs 1481 ± 276 × 10 mm/s), which is highly predictive (area under curve = 0.82). In addition, tumors with PR negativity and Oncotype score ≥18 (intermediate to high risk for recurrence) demonstrated significantly lower ADC values. SI at B100 and B600 was helpful in distinguishing benign versus IDC. There was no significant correlation between ADC values and tumor grade or ER/HER2 status.

CONCLUSION

ADC value is important factor in distinguishing malignancy, differentiating tumors with higher Oncotype score, and PR negativity. Therefore, it can be used as an important tool to assist appropriate treatment selection.

摘要

背景与目的

评估在动态对比增强磁共振成像(DCE-MRI)中添加弥散加权成像(DWI)及其表观弥散系数(ADC)图对良恶性病变亚型及肿瘤复发进行鉴别诊断的价值。

方法与材料

本研究为回顾性、经机构审查委员会批准的研究,纳入了 2015 年 1 月至 12 月间连续 956 例双侧乳腺 MRI 检查患者,111 例患者共检出 156 个 BI-RADS 4、5、6 类病灶。DCE-MRI 检查同时行 B0、B100、B600、B1000 弥散加权成像。两位接受过放射科乳腺专科培训的医师记录弥散及 ADC 图像的相关值。当组织学、肿瘤分级、激素受体(ER、PR、HER-2)及 Oncotype DX 评分可用时,将 ADC 值及平均信号强度(SI)与上述参数相关联。p≤0.05 为有统计学意义。

结果

156 个病灶中,59 个(38%)为良性病变,24 个(15%)为导管原位癌(DCIS),47 个(30%)为浸润性导管癌(IDC),15 个(10%)为浸润性小叶癌(ILC),2 个(2%)为黏液癌(MC),5 个(5%)为 IDC 和 ILC 混合性癌,4 个(4%)为其他类型癌,包括管状癌和罕见类型的恶性肿瘤。恶性肿瘤的 ADC 值显著低于良性病变(1085±343×10 vs 1481±276×10 mm/s),具有高度预测价值(曲线下面积=0.82)。此外,PR 阴性和 Oncotype 评分≥18(复发中高危)的肿瘤具有显著较低的 ADC 值。B100 和 B600 的 SI 有助于鉴别良性与 IDC。ADC 值与肿瘤分级或 ER/HER-2 状态之间无显著相关性。

结论

ADC 值是鉴别良恶性肿瘤、区分高 Oncotype 评分和 PR 阴性肿瘤的重要因素。因此,它可作为辅助选择适当治疗的重要工具。

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