Department of Ultrasound, Pudong New Area People's Hospital affiliated to Shanghai University of Medicine and Health Sciences, Shanghai, China.
Department of Gynaecology & Obstetrics, Pudong New Area People's Hospital affiliated to Shanghai University of Medicine and Health Sciences, Shanghai, China.
Clin Hemorheol Microcirc. 2019;72(2):129-138. doi: 10.3233/CH-180468.
Plasma cell mastitis (PCM), a common type of mastitis often mimics malignancy clinically and radiologically.
The study was designed to explore the diagnostic value of superb microvascular imaging (SMI) in differentiating PCM from malignant breast lesions.
A total of 95 breast lesions underwent conventional ultrasound (US) and SMI examination between May 2016 and April 2018. Vessels were detected in SMI in a quantitative manner. Blood flow parameters including systolic peak velocity (SPV), resistance index (RI), and pulsatility index (PI) were evaluated. We further assessed the diagnostic performances of US and US+SMI.
The majority of PCM were in regular shape and displayed no calcification compared with malignant breast lesions. Regarding blood flow parameters, PCM obtained significantly lower mean value of RI and PI compared with malignant lesions (P < 0.05). The sensitivity, specificity and accuracy rate of US+SMI (84.62%, 76.47%, 83.16%) was significantly higher than those of US (78.21%, 64.71%, 75.59%).
The present study supports that SMI is a novel ultrasound technology in revealing micro-vessels in breast lesions. The combined modality of US+SMI presented a better diagnostic performance in making a distinction between PCM and malignant breast carcinomas.
浆细胞性乳腺炎（PCM）是一种常见的乳腺炎，临床上和影像学上常类似于恶性肿瘤。
本研究旨在探讨超微血流成像（SMI）在鉴别 PCM 与恶性乳腺病变中的诊断价值。
2016 年 5 月至 2018 年 4 月，对 95 例乳腺病变进行了常规超声（US）和 SMI 检查。在 SMI 中以定量方式检测血管。评估血流参数，包括收缩期峰值速度（SPV）、阻力指数（RI）和搏动指数（PI）。进一步评估了 US 和 US+SMI 的诊断性能。
与恶性乳腺病变相比，大多数 PCM 呈规则形状且无钙化。在血流参数方面，PCM 的 RI 和 PI 的平均值明显低于恶性病变（P<0.05）。US+SMI 的敏感性、特异性和准确率（84.62%、76.47%、83.16%）显著高于 US（78.21%、64.71%、75.59%）。
本研究支持 SMI 是一种揭示乳腺病变中微血管的新型超声技术。US+SMI 联合应用在鉴别 PCM 和恶性乳腺癌方面具有更好的诊断性能。
