Suppr超能文献

使用专利蓝V成功识别结肠癌前哨淋巴结。

Successful sentinel node identification in colon carcinoma using Patent Blue V.

作者信息

Braat A E, Oosterhuis J W A, Moll F C P, de Vries J E

机构信息

Department of Surgery, Isala klinieken, locatie Sophia, Dokter van Heesweg 2, P.O. Box 10400, 8000 GK Zwolle, The Netherlands.

出版信息

Eur J Surg Oncol. 2004 Aug;30(6):633-7. doi: 10.1016/j.ejso.2004.03.017.

Abstract

AIM

The aim of this study was to evaluate the use of Patent Blue V for identification of the sentinel node in patients with colon carcinoma.

METHOD

From May 2002, 35 patients operated for colon carcinoma underwent lymphatic mapping using Patent Blue V as marker. Either directly after resection of the colon or during operation 2 ml of Patent Blue V was injected peritumourally, and the first 1 to 4 blue nodes were marked as sentinel nodes. Pathological evaluation was done on a single HE-stained section of all lymph nodes. Only if all sentinel nodes were negative for metastases, serial sectioning and additional immunohistochemical staining against keratine CK 7/8 was performed to reveal micrometastasis in the sentinel nodes.

RESULTS

In 33/35 of patients at least one sentinel node was identified. In 10/33 the sentinel node was positive for metastases, and in 5/10 this was the only node containing metastases. One patient had a false negative sentinel node (accuracy 97%, sensitivity 91%).

CONCLUSION

Using Patent Blue V, it is possible to identify the sentinel node in most patients with colon cancer. The results are comparable with other sentinel node studies using Lymphazurin.

摘要

目的

本研究旨在评估专利蓝V在结肠癌患者前哨淋巴结识别中的应用。

方法

自2002年5月起,35例接受结肠癌手术的患者使用专利蓝V作为标记物进行淋巴绘图。在结肠切除术后或手术过程中,在肿瘤周围注射2毫升专利蓝V,将最初的1至4个蓝色淋巴结标记为前哨淋巴结。对所有淋巴结的单个苏木精-伊红染色切片进行病理评估。仅当前哨淋巴结转移均为阴性时,才进行连续切片和针对角蛋白CK 7/8的额外免疫组化染色,以揭示前哨淋巴结中的微转移。

结果

35例患者中有33例至少识别出一个前哨淋巴结。在33例中有10例前哨淋巴结转移呈阳性,其中5例中这是唯一含有转移灶的淋巴结。1例患者前哨淋巴结出现假阴性(准确率97%,敏感性91%)。

结论

使用专利蓝V,大多数结肠癌患者能够识别出前哨淋巴结。结果与其他使用亚甲蓝的前哨淋巴结研究相当。

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