A Predictive Model for Nonsentinel Node Status after Sentinel Lymph Node Biopsy in Sentinel Lymph Node-Positive Chinese Women with Early Breast Cancer. (24th February 2022)

• Record Type: Journal Article
• Authors: He, Lifang; Liang, Peide; Zeng, Huancheng; Huang, Guangsheng; Wu, Jundong; Zhang, Yiwen; Cui, Yukun; Huang, Wenhe
• Other Names: Yang Dong-Hua Academic Editor.
• Is Part Of: Journal of oncology. Volume 2022(2022)
• Publication Date: 2022-02-24
• Subjects: Oncology -- Research -- Periodicals; Tumors -- Periodicals; Neoplasms; Oncology -- Research; Tumors; Periodicals; Periodicals; 616.994
• DOI: 10.1155/2022/7704686
• Languages: English
• ISSNs: 1687-8450

Abstract

Abstract : Background . Axial lymph node dissection (ALND) is needed in patients with positive sentinel lymph node (SLN). ALND is easy to cause upper limb edema. Therefore, accurate prediction of nonsentinel lymph nodes (non-SLN) which may not need ALND can avoid excessive dissection and reduce complications. We constructed a new prognostic model to predict the non-SLN metastasis of Chinese breast cancer patients. Methods . We enrolled 736 patients who underwent sentinel lymph node biopsy (SLNB); 228 (30.98%) were diagnosed with SLNB metastasis which was determined by intraoperative pathological detection and further accepted ALND. We constructed a prediction model by univariate analysis, multivariate analysis, "R" language, and binary logistic regression in the abovementioned 228 patients and verified this prediction model in 60 patients. Results . Based on univariate analysis using α = 0.05 as the significance level for type I error, we found that age (P = 0.045 ), tumor size (P = 0.006 ), multifocality (P = 0.011 ), lymphovascular invasion (P = 0.003 ), positive SLN number (P = 0.009 ), and negative SLN number (P = 0.034 ) were statistically significant. Age was excluded in multivariate analysis, and we constructed a predictive equation to assess the risk of non-SLN metastasis: Logit P = Ln P / 1 − P = 0.267 ∗ a + 1.443 ∗ b + 1.078 ∗ c + 0.471 ∗ d − 0.618 ∗ e − 2.541 (where " a " represents tumor size, " b " represents multifocality, " c " represents lymphovascular invasion, " d " represents the number of metastasis of SLN, and " e " represents the number of SLNs without metastasis). AUCs for the training group and validation group were 0.715 and 0.744, respectively. When setting the risk value below 22.3%, as per the prediction equation's low-risk interval, our model predicted that about 4% of patients could avoid ALND. Conclusions . This study established a model which demonstrated good prognostic performance in assessing the risk of non-SLN metastasis in Chinese patients with positive SLNs.