首页> 外文期刊>European journal of cancer: official journal for European Organization for Research and Treatment of Cancer (EORTC) [and] European Association for Cancer Research (EACR) >Distinction of isolated tumour cells and micrometastasis in lymph nodes of breast cancer patients according to the new Tumour Node Metastasis (TNM) definitions.
【24h】

Distinction of isolated tumour cells and micrometastasis in lymph nodes of breast cancer patients according to the new Tumour Node Metastasis (TNM) definitions.

机译:根据新的肿瘤节点转移(TNM)定义,对乳腺癌患者淋巴结中分离的肿瘤细胞和微转移进行区分。

获取原文
获取原文并翻译 | 示例
           

摘要

Isolated tumour cells and micrometastases represent two different staging categories and are often dealt with differently when identified in sentinel lymph nodes of breast cancer patients. The reproducibility of these categories was found to be suboptimal in several studies. The new edition of the TNM (Tumour Node Metastasis) is expected to improve the reproducibility of these categories. Fifty cases of possible low-volume nodal involvement were represented by one to four digital images and were analysed by members of the European Working Group for Breast Screening Pathology (EWGBSP). The kappa value for interobserver agreement of the pN (TNM) staging categories and of the isolated tumour cells category were 0.55 and 0.56 reflecting moderate reproducibility, and the kappa of the micrometastatic category (0.62) reflected substantial reproducibility. This is an improvement over the results gained on the basis of the previous edition of the TNM. Maximal adherence to the category definitions supplemented by explanatory texts in the staging manual should result in more homogeneous nodal staging of breast cancer.
机译:分离的肿瘤细胞和微转移代表两种不同的分期类型,在乳腺癌患者的前哨淋巴结中鉴定时通常以不同的方式处理。在几项研究中发现这些类别的可重复性欠佳。新版的TNM(肿瘤节点转移)有望改善这些类别的可重复性。一到四个数字图像代表了50例可能的小量淋巴结受累,并由欧洲乳房筛查病理学工作组(EWGBSP)的成员进行了分析。 pN(TNM)分期类别和分离的肿瘤细胞类别的观察者之间一致性的kappa值分别为0.55和0.56,反映了中等的可重复性,而微转移分类(0.62)的kappa反映了可重复性。这是在上一版TNM的基础上获得的结果的改进。最大限度地遵守分期手册中解释性说明所补充的类别定义,应会导致乳腺癌的淋巴结分期更加均匀。

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

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