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Survival effect of different lymph node staging methods on ovarian cancer: An analysis of 10 878 patients

机译:不同淋巴结分期方法对卵巢癌的生存效果:10 878例患者的分析

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Background To compare the survival impact of several lymph node staging methods and therapeutic role of lymphadenectomy in patients with epithelial ovarian cancer who had undergone lymphadenectomy. Methods Data were retrospectively collected from the Surveillance, Epidemiology, and End Results program between 1988 and 2013. Results An increasing number of resected lymph nodes (RLNs) was associated with a significant improvement in survival of FIGO stage II and III disease. However, for FIGO stage IV patients, better survival was not significantly associated with a more extensive lymphadenectomy. A higher lymph node ratio (LNR) and log odds of positive lymph nodes (LODDS) were associated with poorer survival regardless of stage. Nevertheless, four‐category classification of LODDS was more suitable for stage IV patients when three‐category classification was compatible with stage I‐III disease. Multivariate analysis demonstrated that LODDS and LNR were significant independent prognostic factors, but not RLN classification. Conclusion Sixteen to thirty RLNs are recommended for stage I disease. For stages II and III patients, the more lymph node excision, the better the prognosis. However, lymphadenectomy was nonessential for stage IV patients. Considering staging methods, for stages II and III patients, three‐category classification of LODDS was recommended to evaluate the prognosis. For stage I and IV, three‐category classification of positive LNR was idoneous.
机译:背景为了比较几种淋巴结分期方法的生存影响以及淋巴结清扫术在接受淋巴结清扫术的上皮性卵巢癌患者中的治疗作用。方法回顾性收集1988年至2013年间的监测,流行病学和最终结果计划的数据。结果切除的淋巴结(RLN)数量的增加与FIGO II和III期疾病的生存率显着提高有关。但是,对于FIGO IV期患者,更好的生存率与更广泛的淋巴结清扫术没有明显关联。较高的淋巴结比率(LNR)和阳性淋巴结的对数比值(LODDS)与较差的存活率相关,而与阶段无关。然而,当三类分类与I-III期疾病兼容时,LODDS的四类分类更适合IV期患者。多因素分析表明,LODDS和LNR是重要的独立预后因素,但不是RLN分类。结论I期疾病建议使用16至30个RLN。对于II和III期患者,淋巴结切除越多,预后就越好。但是,IV期患者不需要进行淋巴结清扫术。考虑分期方法,对于II和III期患者,建议对LODDS进行三类分类以评估预后。对于I和IV期,阳性LNR的三类分类是不明确的。

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