Department of Ultrasound, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China.
Department of Breast Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China.
Eur Radiol. 2018 Apr;28(4):1654-1661. doi: 10.1007/s00330-017-5089-0. Epub 2017 Oct 20.
To explore the feasibility of sentinel lymph node (SLN) identification by contrast-enhanced ultrasound (CEUS) in pre-operative breast cancer patients and the value of enhancement patterns for diagnosing lymph node metastases and characterising axillary nodal burden.
110 consecutive breast cancer patients were enrolled. Before the surgery, microbubbles were injected intradermally. The lymphatic drainage pathway was detected to identify the SLNs. Blue dye and indocyanine green (ICG) fluorescence were used to trace SLNs during the operation. The enhancement patterns of SLNs were recorded and compared with the final pathological diagnosis.
SLN detection rate was 96.4 % of 110 patients, 134 SLNs were detected in total. The sensitivity, specificity, positive-predictive value, negative-predictive value and accuracy of predicting SLNs metastases by CEUS enhancement patterns were 100 %, 52.0 %, 43.4 %, 100 % and 64.9 %, respectively. No metastatic SLNs were presented as homogeneous enhancement. Low nodal burden with 0-2 SLN metastases in 92.5 % nodes presented as heterogeneous enhancement. No enhancement pattern was proved to be SLN metastases in 100 % patients.
CEUS is a feasible approach for SLN identification. CEUS enhancement patterns can be helpful in recognising metastatic SLNs and nodal burden.
• CEUS is a feasible approach for SLN identification and characterisation. • The enhancement patterns on CEUS can be helpful in recognising metastasised SLNs. • Homogeneous enhancement pattern has the highest negative-predictive value.
探索对比增强超声(CEUS)在术前乳腺癌患者中识别前哨淋巴结(SLN)的可行性,以及增强模式在诊断淋巴结转移和描述腋窝淋巴结负荷方面的价值。
纳入 110 例连续的乳腺癌患者。在手术前,皮内注射微泡。检测淋巴管引流途径以识别 SLN。术中使用蓝染料和吲哚菁绿(ICG)荧光追踪 SLN。记录 SLN 的增强模式,并与最终病理诊断进行比较。
110 例患者中 SLN 检出率为 96.4%,共检出 134 个 SLN。CEUS 增强模式预测 SLN 转移的敏感性、特异性、阳性预测值、阴性预测值和准确性分别为 100%、52.0%、43.4%、100%和 64.9%。无转移的 SLN 呈均匀增强。92.5%的低淋巴结负荷(0-2 个 SLN 转移)呈异质性增强。100%的患者无增强模式被证实为 SLN 转移。
CEUS 是一种可行的 SLN 识别方法。CEUS 增强模式有助于识别转移性 SLN 和淋巴结负荷。
• CEUS 是一种可行的 SLN 识别和特征描述方法。
• CEUS 增强模式有助于识别转移性 SLN。
• 均匀增强模式具有最高的阴性预测值。