Vidal Fabien, Rafii Arash
Stem Cell and Microenvironment Laboratory, Weill Cornell Medical College in Qatar, Education City, Qatar Foundation, Doha, Qatar ; Department of Genetic Medicine, Weill Cornell Medical College, New York, NY 10065, USA.
Obstet Gynecol Int. 2013;2013:892465. doi: 10.1155/2013/892465. Epub 2013 Sep 26.
Endometrial cancer (EC) is the most common malignancy of the female reproductive tract and is increasing in incidence. Lymphovascular invasion and lymph node (LN) status are strong predictive factors of recurrence. Therefore, the determination of the nodal status of patients is mandatory to optimally tailor adjuvant therapies and reduce local and distant recurrences. Imaging modalities do not yet allow accurate lymph node staging; thus pelvic and aortic lymphadenectomies remain standard staging procedures. The clinical data accumulated recently allow us to define low- and high-risk patients based on pre- or peroperative findings that will allow the clinician to stratify the patients for their need of lymphadenectomies. More recently, several groups have been introducing sentinel node mapping with promising results as an alternative to complete lymphadenectomy. Finally, the use of peroperative algorithm for risk determination could improve patient's staging with a reduction of lymphadenectomy-related morbidity.
子宫内膜癌(EC)是女性生殖道最常见的恶性肿瘤,其发病率正在上升。淋巴管浸润和淋巴结(LN)状态是复发的强有力预测因素。因此,确定患者的淋巴结状态对于优化辅助治疗方案以及减少局部和远处复发至关重要。目前的影像学检查方法尚不能准确进行淋巴结分期;因此,盆腔和主动脉旁淋巴结切除术仍然是标准的分期手术。最近积累的临床数据使我们能够根据术前或术中发现来定义低风险和高风险患者,这将有助于临床医生根据患者对淋巴结切除术的需求进行分层。最近,一些研究团队引入了前哨淋巴结定位技术,并取得了令人鼓舞的结果,可作为完全淋巴结切除术的替代方法。最后,使用术中风险判定算法可以改善患者的分期,同时降低与淋巴结切除术相关的发病率。