Department of General and Gynecologic Surgery, Rangueil Academic Hospital, Toulouse, France.
Int J Gynecol Cancer. 2013 Sep;23(7):1237-43. doi: 10.1097/IGC.0b013e31829b1b98.
Sentinel lymph node (SLN) removal may be a midterm between no and full pelvic dissection in early endometrial cancer. Whereas the use of blue dye alone in SLN detection has a poor accuracy, its integration in an SLN algorithm may yield better results and overcome hurdles such as the requirement of nuclear medicine facility.
Sixty-six patients with clinical stage I endometrial cancer were prospectively enrolled in a multicentre study between May 2003 and June 2009. Patent blue was injected intraoperatively into the cervix. We retrospectively assessed the accuracy of a previously described SLN algorithm consisting of the following sequence: (1) pelvic node area is inspected for removal of all mapped SLN and (2) excision of every suspicious non-SLN, (3) in the absence of mapping in a hemipelvis, a standard ipsilateral lymphadenectomy is then performed.
Sentinel nodes were identified in 41 patients (62.1%), mostly in interiliac and obturator areas. None was detected in the para-aortic area. Detection was bilateral in 23 cases (56.1%). Seven patients (10.6%) had positive nodes. The false-negative rate was 40% using SLN detection alone. When the algorithm was applied, the false-negative rate was 14.3%. The use of a SLN algorithm would have avoided 53% of lymphadenectomies
Our multicentric evaluation validates the use of a SLN algorithm based on blue-only sentinel node mapping in early-stage endometrial cancer. The application of such SLN algorithm should be evaluated in a prospective context and might lead to decrease unnecessary lymphadenectomies.
前哨淋巴结(SLN)切除可能是早期子宫内膜癌中无盆腔和全盆腔解剖之间的一个中间选择。虽然单独使用蓝色染料进行 SLN 检测准确性较差,但将其整合到 SLN 算法中可能会产生更好的结果,并克服核医学设施等要求的障碍。
2003 年 5 月至 2009 年 6 月,我们在一项多中心研究中前瞻性地纳入了 66 例临床 I 期子宫内膜癌患者。术中向宫颈内注射专利蓝。我们回顾性评估了之前描述的 SLN 算法的准确性,该算法包括以下步骤:(1)盆腔淋巴结区域检查以切除所有标记的 SLN;(2)切除每一个可疑的非 SLN;(3)如果在一个半骨盆中没有进行标记,则进行标准的同侧淋巴结清扫术。
41 例患者(62.1%)的 SLN 被识别出来,主要位于髂内和闭孔区。在腹主动脉旁区域未检测到 SLN。23 例(56.1%)为双侧检测。7 例(10.6%)患者有阳性淋巴结。单独使用 SLN 检测的假阴性率为 40%。当应用该算法时,假阴性率为 14.3%。该算法的应用可避免 53%的淋巴结清扫术。
我们的多中心评估验证了基于蓝色染料的 SLN 检测在早期子宫内膜癌中使用 SLN 算法的有效性。应在前瞻性背景下评估这种 SLN 算法的应用,并可能导致减少不必要的淋巴结清扫术。