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超级微血管成像在鉴别良恶性实性乳腺肿块中的作用。

Role of Superb Microvascular Imaging in Differentiating Between Malignant and Benign Solid Breast Masses.

机构信息

Department of Ultrasound, Huadong Hospital, Fudan University, Shanghai, China.

Department of Ultrasound, Huadong Hospital, Fudan University, Shanghai, China.

出版信息

Clin Breast Cancer. 2020 Dec;20(6):e786-e793. doi: 10.1016/j.clbc.2020.06.009. Epub 2020 Jul 3.

Abstract

INTRODUCTION

The purpose of this study was to evaluate the diagnostic performance of superb microvascular imaging (SMI) in breast lesions.

MATERIALS AND METHODS

Eighty-five solid breast lesions were studied with color Doppler flow imaging (CDFI), power Doppler imaging (PDI), monochromatic SMI (mSMI), and contrast-enhanced ultrasonography (CEUS). The penetrating vessels (PVs) and microvascular morphologic and distribution features of the breast tumors were evaluated for each modality.

RESULTS

The diagnostic accuracies of CDFI, PDI, mSMI, and CEUS were calculated and compared. Surgical pathologic analysis showed 47 benign and 38 malignant lesions. Compared with CDFI and PDI, mSMI and CEUS detected more PVs in breast lesions. The microvascular architecture showed significant differences between benign and malignant lesions. Benign lesions mainly displayed avascular, line-like, and branch-like patterns, and malignant lesions tended to display root hair-like and crab claw-like patterns. mSMI and CEUS identified more root hair-like and crab claw-like patterns in malignant lesions than CDFI and PDI. The sensitivity, negative predictive value, and accuracy of mSMI findings in diagnosing malignancy based on PVs and vascular patterns were both higher than those of CDFI and PDI.

CONCLUSIONS

mSMI is equal to CEUS and superior to CDFI and PDI in identifying microvascular and discriminating malignant and benign breast masses.

摘要

简介

本研究旨在评估超微血流成像(SMI)在乳腺病变中的诊断性能。

材料与方法

对 85 个实性乳腺病变进行彩色多普勒血流成像(CDFI)、能量多普勒成像(PDI)、单色 SMI(mSMI)和超声造影(CEUS)检查。评估每种模式的穿透血管(PVs)和乳腺肿瘤的微血管形态和分布特征。

结果

计算并比较了 CDFI、PDI、mSMI 和 CEUS 的诊断准确率。手术病理分析显示 47 例良性和 38 例恶性病变。与 CDFI 和 PDI 相比,mSMI 和 CEUS 检测到更多的乳腺病变中的 PVs。微血管结构在良性和恶性病变之间存在显著差异。良性病变主要表现为无血管、线状和分支状模式,恶性病变则倾向于表现为毛刷状和蟹足状模式。mSMI 和 CEUS 比 CDFI 和 PDI 更能识别恶性病变中的毛刷状和蟹足状模式。基于 PVs 和血管模式,mSMI 对恶性病变的诊断敏感度、阴性预测值和准确率均高于 CDFI 和 PDI。

结论

mSMI 在识别微血管和鉴别良恶性乳腺肿块方面与 CEUS 相当,优于 CDFI 和 PDI。

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