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应用前哨淋巴结绘图算法在子宫内膜癌分期中的重要性:超越蓝色淋巴结的切除。

The importance of applying a sentinel lymph node mapping algorithm in endometrial cancer staging: beyond removal of blue nodes.

机构信息

Gynecology Service, Department of Surgery, Memorial Sloan-Kettering Cancer Center, New York, NY 10065, USA.

出版信息

Gynecol Oncol. 2012 Jun;125(3):531-5. doi: 10.1016/j.ygyno.2012.02.021. Epub 2012 Feb 22.

Abstract

OBJECTIVE

To determine the false-negative rate of a surgical sentinel lymph node (SLN) mapping algorithm that incorporates more than just removing SLNs in detecting metastatic endometrial cancer.

METHODS

A prospective database of all patients who underwent lymphatic mapping for endometrial cancer was reviewed. Cervical injection of blue dye was used in all cases. The surgical algorithm is as follows: 1) peritoneal and serosal evaluation and washings; 2) retroperitoneal evaluation including excision of all mapped SLNs and suspicious nodes regardless of mapping; and 3) if there is no mapping on a hemi-pelvis, a side-specific pelvic, common iliac, and interiliac lymph node dissection (LND) is performed. Paraaortic LND is performed at the attendings' discretion. The algorithm was retrospectively applied.

RESULTS

From 9/2005 to 4/2011, 498 patients received a blue dye cervical injection for SLN mapping. At least one LN was removed in 95% of cases (474/498); at least one SLN was identified in 81% (401/498). SLN correctly diagnosed 40/47 patients with nodal metastases who had at least one SLN mapped, resulting in a 15% false-negative rate. After applying the algorithm, the false-negative rate dropped to 2%. Only one patient, whose LN spread would not have been caught by the algorithm, had an isolated positive right paraaortic LN with a negative ipsilateral SLN and pelvic LND.

CONCLUSIONS

Satisfactory SLN mapping in endometrial cancer requires adherence to a surgical SLN algorithm and goes beyond just the removal of blue SLNs. Removal of any suspicious node along with side-specific lymphadenectomy for failed mapping are an integral part of this algorithm. Further validation of the false-negative rate of this algorithm is necessary.

摘要

目的

确定一种外科前哨淋巴结 (SLN) 绘图算法的假阴性率,该算法不仅要检测转移性子宫内膜癌,还要检测 SLN。

方法

回顾性分析所有接受淋巴结绘图的子宫内膜癌患者的前瞻性数据库。所有病例均采用宫颈注射蓝色染料。手术算法如下:1)腹膜和浆膜评估和冲洗;2)包括切除所有绘图 SLN 和可疑节点的后腹膜评估,无论是否绘图;3)如果半骨盆没有绘图,则进行特定于一侧的骨盆、髂总、髂内淋巴结清扫术(LND)。主动脉旁 LND 由主治医生酌情进行。该算法是回顾性应用的。

结果

从 2005 年 9 月至 2011 年 4 月,498 例患者接受了蓝染颈注射 SLN 绘图。95%的病例至少切除了一个淋巴结(474/498);81%的病例至少识别了一个 SLN(401/498)。SLN 正确诊断了 47 例至少有一个 SLN 绘图的淋巴结转移患者中的 40 例,假阴性率为 15%。应用该算法后,假阴性率降至 2%。只有 1 例患者的 LN 转移不会被该算法捕获,其右侧主动脉旁 LN 孤立阳性,同侧 SLN 和骨盆 LND 阴性。

结论

满意的子宫内膜癌 SLN 绘图需要遵循外科 SLN 算法,并且不仅仅是切除蓝色 SLN。去除任何可疑的节点以及对失败绘图的特定于一侧的淋巴结切除术是该算法的一个组成部分。需要进一步验证该算法的假阴性率。

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