首页> 美国卫生研究院文献>Clinical Molecular Pathology >Benign lymph node inclusions mimicking metastatic carcinoma.
【2h】

Benign lymph node inclusions mimicking metastatic carcinoma.

机译:良性淋巴结包裹体模拟转移性癌。

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

AIMS--To draw attention to non-neoplastic inclusions in axillary lymph nodes removed from women with primary breast cancer which may be mistaken for metastases. METHODS--Five examples of non-malignant inclusions were detected in axillary lymph nodes removed from women with mammary carcinoma. Immunohistochemical staining for CAM 5.2 and S100 markers, as well as morphological assessment were performed. RESULTS--Three of the five cases comprised naevus cells and two heterotopic epithelial elements. One of each was initially mistaken for metastatic carcinoma. Naevus cells in the capsule of axillary nodes are often arranged as lines of small, round cells and may readily be misinterpreted as metastatic lobular carcinoma. Heterotopic epithelial elements, in the form of tubules, can easily be mistaken for metastasis from an infiltrating ductal carcinoma. CONCLUSIONS--Awareness of the occasional occurrence of non-neoplastic nodal inclusions will help avoid misdiagnosis. If immunohistochemical markers for epithelial cells are used to screen lymph nodes for metastasis, such lesions could be detected more frequently. It is important to combine immunohistochemistry with morphological assessment and the use of a panel of antibodies in histological diagnosis.
机译:目的-提请注意原发性乳腺癌女性切除的腋窝淋巴结中的非肿瘤性包裹体,这些包裹体可能被误认为是转移灶。方法-在从乳腺癌女性切除的腋窝淋巴结中检测到五个非恶性包涵体实例。进行了CAM 5.2和S100标记的免疫组织化学染色以及形态学评估。结果:五例病例中有三例包括痣细胞和两个异位上皮成分。最初,每一个都被误认为是转移性癌。腋窝囊中的痣细胞通常排列成小而圆的细胞,可能容易误解为转移性小叶癌。肾小管形式的异位上皮细胞很容易被误认为是浸润性导管癌的转移。结论-意识到非肿瘤性结节偶发性偶发的发生将有助于避免误诊。如果使用上皮细胞的免疫组织化学标记物筛选淋巴结是否转移,则可以更频繁地检测到这种病变。重要的是将免疫组织化学与形态学评估以及一组抗体用于组织学诊断相结合。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号