关键词: axillary lymph node early breast cancer predictors

Mesh : Humans Female Breast Neoplasms / pathology Middle Aged Axilla Tunisia / epidemiology Lymphatic Metastasis / pathology Lymph Nodes / pathology Adult Neoplasm Staging Lymph Node Excision Aged Sentinel Lymph Node Biopsy Prognosis Retrospective Studies

来  源:   DOI:10.4314/ahs.v23i4.30   PDF(Pubmed)

Abstract:
UNASSIGNED: Axillary lymph node involvement (ALNI) is associated with an increased risk of local recurrence and poor prognosis in early breast cancer. The determination of the risk of positive axillary lymph node contributes to therapeutic decisions.
UNASSIGNED: The aim of this study was to identify clinicopathological predictive factors of axillary lymph node metastases in patients with early breast cancer.
UNASSIGNED: We included patients with clinical T0, T1 andT2 invasive breast carcinoma who underwent resection of the primary tumor and axillary staging by sentinel lymph node biopsy and/or axillar lymph node dissection between 2012 and 2018.
UNASSIGNED: Of the 135patients included, 41.5% had ALNI. Regarding univariate analysis, clinical factors correlated with positive ALNM were clinical tumour size>30mm, clinical tumour stage, clinical number of tumours, clinical axillary nodal status and nodal status on ultrasound. Pathologic factors associated with nodal involvement were pathologic tumour stage, tumour grade SBR, number of foci, lymphovascular invasion, perineural invasion and Ki67>20%.In multivariate logistic regression, clinical axillary nodal status, pathologic tumour stage and lymphovascular invasion (LVI) remained as independent predictors of ALNI.
UNASSIGNED: Based on these results, we suggest that clinical axillary nodal status, pathologic tumour stage and LVI are predictive factors for ALNM in Tunisian women with early breast cancer.
摘要:
腋窝淋巴结受累(ALNI)与早期乳腺癌局部复发风险增加和预后不良相关。确定腋窝淋巴结阳性的风险有助于治疗决策。
本研究的目的是确定早期乳腺癌患者腋窝淋巴结转移的临床病理预测因素。
我们纳入了临床T0、T1和T2浸润性乳腺癌患者,这些患者在2012年至2018年期间通过前哨淋巴结活检和/或腋窝淋巴结清扫术进行了原发肿瘤切除和腋窝分期。
在135名患者中,41.5%患有ALNI。关于单变量分析,与ALNM阳性相关的临床因素是临床肿瘤大小>30mm,临床肿瘤分期,肿瘤的临床数量,临床腋窝淋巴结状态和超声淋巴结状态。与淋巴结受累相关的病理因素是病理肿瘤分期,肿瘤级SBR,病灶数量,淋巴管浸润,神经周浸润和Ki67>20%。在多变量逻辑回归中,临床腋窝淋巴结状态,病理肿瘤分期和淋巴管浸润(LVI)仍然是ALNI的独立预测因子。
基于这些结果,我们建议临床腋窝淋巴结状态,病理肿瘤分期和LVI是突尼斯早期乳腺癌女性ALNM的预测因素。
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