Identification of sentinel lymph nodes using contrast-enhanced ultrasound in breast cancer patients who underwent neoadjuvant chemotherapy.

Xiufeng Wu, Lina Tang, Yi Zeng, Xia Chen
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引用次数: 0

Abstract

59 Background: The aim of this prospective study was to evaluate the feasibility of contrast-enhanced ultrasonography (CEUS) for the identification of sentinel lymph node (SLN) in breast cancer patients with cN0 following neoadjuvant chemotherapy (NAC). Methods: Patients with cN0 following NAC (n=66) received a periareolar injection of SonoVue followed by ultrasound (US) to identify contrast-enhanced SLN before surgery. All patients underwent axillary lymph node dissection for verification of axillary node status after the SLN biopsy. The identification rate, sensitivity, specificity, accuracy, false negative rate, negative predictive value, positive predictive value was recorded. Results: In almost all cases, the SLNs were easily identified with an identification rate of 98.5 % (65/66). Compared with pathological diagnosis, sensitivity, specificity, accuracy, and false negative rate of CEUS for SLN diagnosis were 66.7%, 95.8%, 78.8%, and 14.3% respectively. Conclusions: Identification of SLN by CEUS is a technically feasible method with an identification rate as high as 98.5%. [Table: see text][Table: see text]
应用超声造影识别癌症新辅助化疗患者前哨淋巴结。
59背景:本前瞻性研究的目的是评估超声造影(CEUS)用于识别癌症新辅助化疗(NAC)后cN0患者前哨淋巴结(SLN)的可行性。方法:NAC后cN0患者(n=66)在手术前接受乳晕周注射SonoVue,然后进行超声(US)以识别对比增强的SLN。所有患者均接受了腋窝淋巴结清扫,以验证SLN活检后的腋窝淋巴结状态。记录鉴别率、敏感性、特异性、准确性、假阴性率、阴性预测值、阳性预测值。结果:在几乎所有病例中,SLN都很容易识别,识别率为98.5%(65/66)。与病理诊断相比,CEUS诊断SLN的敏感性、特异性、准确性和假阴性率分别为66.7%、95.8%、78.8%和14.3%。结论:CEUS鉴别SLN是一种技术可行的方法,鉴别率高达98.5%
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来源期刊
自引率
0.00%
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0
审稿时长
20 weeks
期刊介绍: The Journal of Global Oncology (JGO) is an online only, open access journal focused on cancer care, research and care delivery issues unique to countries and settings with limited healthcare resources. JGO aims to provide a home for high-quality literature that fulfills a growing need for content describing the array of challenges health care professionals in resource-constrained settings face. Article types include original reports, review articles, commentaries, correspondence/replies, special articles and editorials.
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