فهرست نشریات علمی دسترسی آزاد ایران

Background and Objectives: Previous studies on Red Blood Cell Distribution Width (RDW)  and Systemic Immune Inflammatory Index (SII)  have focused on the prognosis of breast cancer, but few studies have explored its diagnosis. The study aimed to determine the clinical value of the RDW and SII in preoperative peripheral blood in differentiating benign from and malignant breast diseases.   Methods: Patients with breast disorders who visited our hospital for the first time between June 2021 and June 2022 were enrolled.The expression levels of RDW, SII, NLR, PLR and LMR were compared between the two groups. These indicators were analyzed useing the ROC. Analysis indicators included the optimal value, AUC, sensitivity, specificity,and their combination. Subsequently, binary logistic regression was performed to establish the RDW+SII diagnostic model. Finally, the correlation between the RDW and SII and related pathological parameters was analyzed.   Results: Except for LMR, the RDW, SII, NLR, and PLR in the breast cancer group than those in the benign breast disease group, and the differences were statistically significant. According to the ROC curve analysis, the AUC of tne RDW was 0.668, which was the highest among the five indicators.The best critical value of the RDW in identifying benign and malignant breast masses was 13.00, with a sensitivity of 57.42% and a specificity of 71.28%.The optimal critical value of the RDW+SII diagnostic model established by binary logistic regression was 0.38, with a sensitivity of 79.78%, a specificity of 50.54%, and an AUC of 0.705. The RDW and RDW+SII diagnostic models were associated with the TNM stage of breast cancer.   Conclusion: The RDW and RDW+SII diagnostic models based on preoperative peripheral blood have guiding significance for the diagnosis and evaluation of breast cancer.