Objective: To explore the correlation between preoperative peripheral blood inflammatory markers and pathological features in uterine cervical non-squamous cell carcinoma (UCNS) patients. Methods: 123 UCNS patients who underwent cervical cancer radical surgery and pelvic lymph node dissection were selected as the research subjects. They were divided into LVSI positive group (n = 13) and LVSI negative group (n = 110) based on the presence or absence of lymphovascular space invasion (LVSI), and according to the presence or absence of lymph node metastasis (LNM), they were divided into LNM positive group (n=20) and LNM negative group (n=103). Univariate and multivariate Logistic regression analysis were used to evaluate the correlation between neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR), lymphocyte to monocyte ratio (LMR), systemic immune inflammation index (SII), and systemic immune response index (SIRI) with clinical pathological features such as LVSI and LNM. Receiver operating characteristic (ROC) curve analysis was used to determine the optimal cut-off values for each peripheral blood inflammatory marker, which were then used to categorize patients into high and low inflammatory marker groups. The log-rank test was conducted to compare differences in Disease-Free Survival (DFS) between these groups. The Cox proportional hazards model was employed to assess the impact of preoperative inflammatory markers on DFS. Results: An elevated preoperative LMR level was identified as an independent protective factor for LVSI (OR=0.566, 95% CI: 0.367~0.873, P=0.010), while a higher preoperative FIGO stage was an independent risk factor for LVSI (OR=4.875, 95% CI: 1.334~17.820, P=0.017). ROC curve analysis demonstrated that the preoperative LMR level had a certain accuracy in predicting LVSI in patients with UCNS (AUC=0.750). A statistically significant difference was observed in preoperative LMR levels between the lymph node-positive and lymph node-negative groups of patients with UCNS (P=0.048). Kaplan-Meier survival analysis indicated that the DFS of the high NLR, high SII, and high SIRI groups was shorter than that of the low-level groups (P<0.05). Univariate Cox regression analysis showed that deep stromal invasion (>1/2), high NLR, high SII, and high SIRI were risk factors affecting DFS (P<0.05). Multivariate analysis further confirmed that deep stromal invasion (HR=5.240, 95% CI: 1.144~24.004, P=0.033) and high SIRI (HR=5.545, 95% CI: 1.746~17.613, P=0.004) were independently associated with shorter DFS (P<0.05). Conclusion: Preoperative lower LMR and higher FIGO stage are independent risk factors for LVSI in patients with UCNS. Additionally, a high SIRI and deep stromal invasion are significantly associated with shorter DFS in UCNS patients.