Suppr超能文献

乳腺癌患者腋窝淋巴结超声引导下细针抽吸的假阴性。

False-negative ultrasound-guided fine-needle aspiration of axillary lymph nodes in breast cancer patients.

机构信息

Department of Breast Surgery, Tokyo Metropolitan Cancer and Infectious Diseases Center Komagome Hospital, Tokyo, Japan.

Department of Pathology, Tokyo Metropolitan Cancer and Infectious Diseases Center Komagome Hospital, Tokyo, Japan.

出版信息

Cytopathology. 2020 Sep;31(5):463-467. doi: 10.1111/cyt.12877. Epub 2020 Jul 14.

Abstract

INTRODUCTION

The purpose of this study was to clarify the clinicopathological features of patients with false-negative fine needle aspiration cytology (FNAC) and to determine the factors associated with negative FNAC.

METHODS

Patients with negative FNAC from January 2010 to December 2019 were included. The patients with positive sentinel nodes (SN) were divided into two groups: micrometastasis (≤2 mm) group and macrometastasis (>2 mm) group. The clinicopathological characteristics were compared between the two groups using the χ test.

RESULTS

A total of 165 patients with negative FNAC were included; 52 (31.5%) had positive SNs. Of the 52 patients, 13 (25%) had micrometastasis and the remaining 39 (75%) had macrometastasis. Of the 113 patients with negative SNs, none had metastases found in non-SNs. No significant differences were observed in age, cT stage or subtype, and preoperative ultrasound findings between the two groups.

CONCLUSIONS

The false-negative rate of FNAC was high (31.5%). Micrometastatic disease was seen in patients with negative FNAC, and this might be the cause of false-negative FNAC results.

摘要

简介

本研究旨在阐明细针穿刺细胞学检查(FNAC)假阴性患者的临床病理特征,并确定与 FNAC 阴性相关的因素。

方法

纳入 2010 年 1 月至 2019 年 12 月 FNAC 阴性的患者。将阳性前哨淋巴结(SN)的患者分为微转移(≤2mm)组和宏转移(>2mm)组。采用卡方检验比较两组的临床病理特征。

结果

共纳入 165 例 FNAC 阴性患者,52 例(31.5%)SN 阳性。52 例患者中,13 例(25%)为微转移,其余 39 例(75%)为宏转移。113 例 SN 阴性患者中,无非 SN 转移。两组患者年龄、cT 分期或亚型、术前超声表现无显著差异。

结论

FNAC 的假阴性率较高(31.5%)。FNAC 阴性的患者存在微转移性疾病,这可能是 FNAC 假阴性结果的原因。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验