Department of Breast Surgical Oncology, Fujian Medical University Cancer Hospital and Fujian Cancer Hospital, No. 420 Fuma Road, Fuzhou, 350014, Fujian, People's Republic of China.
Department of Ultrasound, Fujian Medical University Cancer Hospital and Fujian Cancer Hospital, Fuzhou, 350014, Fujian, People's Republic of China.
Arch Gynecol Obstet. 2020 Sep;302(3):685-692. doi: 10.1007/s00404-020-05646-8. Epub 2020 Jun 29.
Recent studies show that contrast-enhanced ultrasonography (CEUS) using SonoVue has the potential to improve the performance of sentinel lymph node biopsy (SLNB) in patients with early breast cancer. However, the evidence of SLNB using CEUS in patients converting from cN1 to cN0 after neoadjuvant chemotherapy (NAC) is lacking. The aim of this prospective study is to evaluate the feasibility of CEUS using SonoVue for the identification of sentinel lymph node (SLN) and the value of the combination of CEUS and blue dye (BD) for SLNB in patients converting from cN1 to cN0 following NAC.
Patients with cytology-proven node positive breast cancer at the initial diagnosis (stage T1-T3N1M0) from January 2018 to January 2019, underwent NAC. Patients converting from cN1 to cN0 following NAC were enrolled and randomized into two groups for SLNB: the combination method group using CEUS and BD together, and the single BD method group. Then all patients underwent complete axillary lymph node dissection (ALND) and primary breast surgery. Compared with the final pathological results, the identification rate, sensitivity, specificity, accuracy, false negative rate, negative predictive value, positive predictive value were recorded and compared between two methods.
A total of 400 patients with stage T1-T3N1M0 disease underwent NAC between January 2018 to January 2019, among which 134 (33.5%) patients had clinically negative node confirmed by imaging after NAC and randomized into two groups. Each group included 67 cases. In the combination method group, contrast-enhanced lymphatic vessels in 66 cases of 67 were clearly visualized by US soon after the periareolar injection of SonoVue and the SLNs were accurately localized. The identification rate of the combination method was 98.5%%, which was significantly higher than 83.6% (56/67) using the single BD method. The mean numbers of SLNs identified by the combination method was higher than that by the single BD method. Compared with pathological diagnosis, sensitivity, specificity, accuracy, the positive predictive value, the negative predictive value, and the FNR of the combingation method were 84.4%, 100%, 89.4%, 100%, 75%, and 15.6%, respectively. In contrast, sensitivity, specificity, accuracy, the positive predictive value, the negative predictive value, and the FNR using single blue dye were 73.9%, 100%, 89.3%, 100%, 84.6%, and 26.1%, respectively. The FNR using the combination method was significantly lower than that using single BD.
Identification of SLNs in patients converting from cN1 to cN0 following NAC by CEUS is a technically feasible. The combination of CEUS and BD is more effective than BD alone for SLNB in patients converting from cN1 to cN0 following NAC.
最近的研究表明,使用声诺维的超声造影(CEUS)有可能提高早期乳腺癌患者前哨淋巴结活检(SLNB)的性能。然而,在新辅助化疗(NAC)后从 cN1 转为 cN0 的患者中,CEUS 用于 SLNB 的证据尚缺乏。本前瞻性研究旨在评估 SonoVue 用于 CEUS 识别前哨淋巴结(SLN)的可行性,以及在 NAC 后从 cN1 转为 cN0 的患者中,CEUS 联合蓝色染料(BD)用于 SLNB 的价值。
2018 年 1 月至 2019 年 1 月,细胞学证实的初诊 T1-T3N1M0 期乳腺癌患者接受 NAC。纳入 NAC 后从 cN1 转为 cN0 的患者,并随机分为两组进行 SLNB:CEUS 和 BD 联合组和单 BD 组。然后所有患者均接受完整的腋窝淋巴结清扫术(ALND)和原发性乳房手术。与最终病理结果相比,记录并比较两种方法的识别率、灵敏度、特异性、准确性、假阴性率、阴性预测值、阳性预测值。
2018 年 1 月至 2019 年 1 月期间,共有 400 例 T1-T3N1M0 期疾病患者接受了 NAC,其中 134 例(33.5%)患者经 NAC 后影像学证实临床淋巴结阴性,并随机分为两组。每组包括 67 例。在联合组中,在 SonoVue 乳晕周围注射后不久,67 例中有 66 例的增强淋巴管在 US 下清晰可见,并准确定位了 SLN。联合组的识别率为 98.5%,明显高于单 BD 组的 83.6%(56/67)。联合组识别的 SLN 平均数高于单 BD 组。与病理诊断相比,联合组的灵敏度、特异性、准确性、阳性预测值、阴性预测值和 FNR 分别为 84.4%、100%、89.4%、100%、75%和 15.6%。相比之下,单蓝色染料的灵敏度、特异性、准确性、阳性预测值、阴性预测值和 FNR 分别为 73.9%、100%、89.3%、100%、84.6%和 26.1%。联合组的 FNR 明显低于单 BD 组。
NAC 后从 cN1 转为 cN0 的患者中,CEUS 用于 SLN 的识别是一项技术上可行的方法。CEUS 联合 BD 比单 BD 更有效用于 NAC 后从 cN1 转为 cN0 的患者的 SLNB。