Yıldız Ramazan, Urkan Murat, Hancerliogulları Oğuz, Kılbaş Zafer, Ozturk Erkan, Mentes Mustafa Oner, Gorgulu Semih
Department of Surgery, Gulhane Military Medical Academy, Etlik, 06018 Ankara, Turkey.
Springerplus. 2015 Oct 29;4:651. doi: 10.1186/s40064-015-1442-4. eCollection 2015.
Sentinel lymph node biopsy (SLNB) is the current standard of care for breast cancers with no clinically palpable axillary lymph nodes. Almost 50 % of sentinel lymph node positive patients have negative non-sentinel nodes and undergo non-therapeutic axillary dissection. Five different scoring systems, reported in the literature, were compared for their predictive ability of non-SLN involvement in patients with SLN positive breast cancer. 242 patients who underwent breast surgery and SLNB were included in the study. Of these, 70 who were confirmed to have SLN metastasis and received complementary ALND and constituted the final study population. The nomograms (MSKCC, M.D. Anderson Cancer Center, Tenon model, Stanford and Turkish) were statistically compared for their prediction of non-SLN metastasis (95 % confidence interval). We have determined only two clinicopathologic (multifocality and size of the primary tumor) situations which have a statistically significant association between SLN metastasis with using a multivariate logistic regression analysis. Multifocality (P = 0.001) and size of the primary tumor (P = 0.001) were associated with a higher probability of-SLN metastasis. No predictive model was constructed that showed good area under the curve (AUC) discrimination in the validation series. Currently published predictive models lack accuracy when applied to a different population. Multi-institutional heterogenic population studies are important to determine the exact combination of scoring systems and/or nomograms.
前哨淋巴结活检(SLNB)是目前针对临床触诊腋窝淋巴结阴性的乳腺癌的标准治疗方法。几乎50%的前哨淋巴结阳性患者非前哨淋巴结为阴性,需接受非治疗性腋窝淋巴结清扫术。对文献报道的五种不同评分系统预测前哨淋巴结阳性乳腺癌患者非前哨淋巴结受累情况的能力进行了比较。本研究纳入了242例行乳腺手术及前哨淋巴结活检的患者。其中,70例确诊前哨淋巴结转移并接受辅助腋窝淋巴结清扫术的患者构成了最终研究人群。对列线图(纪念斯隆凯特琳癌症中心、MD安德森癌症中心、Tenon模型、斯坦福大学和土耳其列线图)预测非前哨淋巴结转移的情况进行了统计学比较(95%置信区间)。通过多因素逻辑回归分析,我们仅确定了两种临床病理情况(多灶性和原发肿瘤大小)与前哨淋巴结转移之间存在统计学显著关联。多灶性(P = 0.001)和原发肿瘤大小(P = 0.001)与前哨淋巴结转移概率较高相关。在验证系列中,未构建出曲线下面积(AUC)鉴别良好的预测模型。目前发表的预测模型应用于不同人群时缺乏准确性。多机构异质性人群研究对于确定评分系统和/或列线图的确切组合很重要。