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基于2000例前哨淋巴结手术建立的用于预测腋窝淋巴结转移的前瞻性验证模型:肿瘤位置的作用[已修正]

A prospective validated model for predicting axillary node metastases based on 2,000 sentinel node procedures: the role of tumour location [corrected].

作者信息

Bevilacqua J, Cody H, MacDonald K A, Tan L K, Borgen P I, Van Zee K J

机构信息

Department of Surgery and Pathology, Memorial Sloan-Kettering Cancer Center, New York, NY 10021, USA.

出版信息

Eur J Surg Oncol. 2002 Aug;28(5):490-500. doi: 10.1053/ejso.2002.1268.

Abstract

AIMS

The purpose was to identify the independent predictive factors of axillary lymph-node metastases (ALNM) in infiltrating ductal carcinoma (IFDC) and to create a prospective, validated statistical model to predict the likelihood of ALNM in patients in the present era of sentinel lymph-node (SLN) biopsy and enhanced histopathology.

METHODS

Univariate and multivariate analyses of 13 clinicopathological variables (including tumour location) were performed to determine predictors of ALNM in 1659 eligible SLN biopsy procedures. A logistic regression model was developed and then prospectively validated on a second population of 187 subsequent consecutive procedures.

RESULTS

Age, pathological tumour size, palpability, lymphovascular invasion (LVI), histological grade, nuclear grade, ductal histological subtype, tumour location (quadrant) and multifocality were associated with ALNM in univariate analyses (P < 0.001). Of these, only palpability and histological grade were not statistically associated with ALNM in the multivariate analysis (P> 0.05). The frequency of ALNM in upper-inner-quadrant (UIQ) tumours was 20.6%, compared with 33.2% for all other quadrants (P<0.0005). There was no statistical difference between UIQ and other-quadrant tumours in any clinicopathological variables analysed. The logistic regression model, developed based on the population of 1659, had the same accuracy, sensitivity, specificity, positive predictive value and negative predictive value when applied prospectively to the second population.

CONCLUSION

Tumour size, LVI, age, nuclear grade, histological subtype, multifocality and location in the breast were independent predictive factors for ALNM in IFDC. ALNM is less frequent in UIQ tumours than in other-quadrant tumours. Our prospectively validated predictive model could be valuable in pre-operative patient discussions, although staging of the axilla in the individual patient remains necessary.

摘要

目的

本研究旨在确定浸润性导管癌(IFDC)腋窝淋巴结转移(ALNM)的独立预测因素,并建立一个经过前瞻性验证的统计模型,以预测在当前前哨淋巴结(SLN)活检和增强组织病理学时代患者发生ALNM的可能性。

方法

对13个临床病理变量(包括肿瘤位置)进行单因素和多因素分析,以确定1659例符合条件的SLN活检手术中ALNM的预测因素。建立逻辑回归模型,然后在随后连续的187例手术的第二组人群中进行前瞻性验证。

结果

在单因素分析中,年龄、病理肿瘤大小、可触及性、淋巴管浸润(LVI)、组织学分级、核分级、导管组织学亚型、肿瘤位置(象限)和多灶性与ALNM相关(P < 0.001)。其中,在多因素分析中,只有可触及性和组织学分级与ALNM无统计学关联(P> 0.05)。内上象限(UIQ)肿瘤的ALNM发生率为20.6%,而所有其他象限为33.2%(P<0.0005)。在分析的任何临床病理变量中,UIQ肿瘤与其他象限肿瘤之间均无统计学差异。基于1659例人群建立的逻辑回归模型在对第二组人群进行前瞻性应用时,具有相同的准确性、敏感性、特异性、阳性预测值和阴性预测值。

结论

肿瘤大小、LVI、年龄、核分级、组织学亚型、多灶性和乳腺位置是IFDC中ALNM的独立预测因素。UIQ肿瘤的ALNM发生率低于其他象限肿瘤。我们经过前瞻性验证的预测模型在术前患者讨论中可能具有重要价值,尽管对个体患者的腋窝分期仍然是必要的。

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