Pollom Erqi L, Conklin Christopher M J, von Eyben Rie, Folkins Ann K, Kidd Elizabeth A
Departments of Radiation Oncology (E.L.P., R.v.E., E.A.K.) Pathology (A.K.F.), Stanford University School of Medicine, Stanford, California Department of Pathology (C.M.J.C.), Surrey Memorial Hospital, Surrey, BC, Canada.
Int J Gynecol Pathol. 2016 Sep;35(5):395-401. doi: 10.1097/PGP.0000000000000246.
Pelvic lymphadenectomy in early-stage endometrial cancer is controversial, but the findings influence prognosis and treatment decisions. Noninvasive tools to identify women at high risk of lymph node metastasis can assist in determining the need for lymph node dissection and adjuvant treatment for patients who do not have a lymph node dissection performed initially. A retrospective review of surgical pathology was conducted for endometrioid endometrial adenocarcinoma at our institution. Univariate and multivariate logistic regression analysis of selected pathologic features were performed. A nomogram to predict for lymph node metastasis was constructed. From August 1996 to October 2013, 296 patients underwent total abdominal or laparoscopic hysterectomy, bilateral salpingo-oophorectomy, and selective lymphadenectomy for endometrioid endometrial adenocarcinoma. Median age at surgery was 62.7 yr (range, 24.9-93.6 yr). Median number of lymph nodes removed was 13 (range, 1-72). Of all patients, 38 (12.8%) had lymph node metastases. On univariate analysis, tumor size ≥4 cm, grade, lymphovascular space involvement, cervical stromal involvement, adnexal or serosal or parametrial involvement, positive pelvic washings, and deep (more than one half) myometrial invasion were all significantly associated with lymph node involvement. In a multivariate model, lymphovascular space involvement, deep myometrial invasion, and cervical stromal involvement remained significant predictors of nodal involvement, whereas tumor size of ≥4 cm was borderline significant. A lymph node predictive nomogram was constructed using these factors. Our nomogram can help estimate risk of nodal disease and aid in directing the need for additional surgery or adjuvant therapy in patients without lymph node surgery. Lymphovascular space involvement is the most important predictor for lymph node metastases, regardless of grade, and should be consistently assessed.
早期子宫内膜癌的盆腔淋巴结清扫术存在争议,但其结果会影响预后和治疗决策。用于识别淋巴结转移高危女性的非侵入性工具,可帮助确定对于最初未进行淋巴结清扫的患者是否需要进行淋巴结清扫及辅助治疗。我们对本机构的子宫内膜样子宫内膜腺癌手术病理进行了回顾性研究。对选定的病理特征进行了单因素和多因素逻辑回归分析。构建了预测淋巴结转移的列线图。1996年8月至2013年10月,296例患者因子宫内膜样子宫内膜腺癌接受了全腹或腹腔镜子宫切除术、双侧输卵管卵巢切除术及选择性淋巴结清扫术。手术时的中位年龄为62.7岁(范围24.9 - 93.6岁)。切除淋巴结的中位数量为13个(范围1 - 72个)。所有患者中,38例(12.8%)有淋巴结转移。单因素分析显示,肿瘤大小≥4 cm、分级、淋巴管间隙受累、宫颈间质受累、附件或浆膜或宫旁组织受累、盆腔冲洗液阳性以及肌层深层浸润(超过一半)均与淋巴结受累显著相关。在多因素模型中,淋巴管间隙受累、肌层深层浸润和宫颈间质受累仍是淋巴结受累的显著预测因素,而肿瘤大小≥4 cm的显著性接近临界值。利用这些因素构建了淋巴结预测列线图。我们的列线图有助于估计淋巴结疾病的风险,并有助于指导未进行淋巴结手术的患者是否需要额外手术或辅助治疗。无论分级如何,淋巴管间隙受累都是淋巴结转移最重要的预测因素,应持续进行评估。