Abstract: Objective:To explore the value of preoperative magnetic resonance imaging (MRI) signs combined with inflammatory indexes in predicting lymphovascular invasion (LVI) in lumpy early invasive breast cancer. Methods:A total of 89 female patients with lumpy early invasive breast cancer who underwent preoperative magnetic resonance enhancement examination at the Guangxi Medical University Cancer Hospital from 2018 to 2020 were collected. The patients were divided into LVI(+) and LVI(-) groups according to the postoperative pathological findings. The relationship between preoperative MRI signs, inflammatory indexes and pathological features with LVI in the two groups was evaluated by univariate analysis. Multivariate logistic regression was used to screen for risk factors, and the model of MRI signs and the model of MRI signs combined with inflammatory indexes were established. The diagnostic efficacy of the model was assessed using the area under the curve (AUC) of the receiver operating characteristic (ROC). The z-test was used to compare the differences in AUC. Results:The differences in preoperative peripheral blood neutrophil to lymphocyte ratio (NLR), T-stage, spicule sign, type of time intensity curve (TIC), peritumoural oedema and apparent diffusion coefficient (ADC) values were statistically significant between the LVI(+) and LVI(-) groups (all P＜0.05). Multivariate logistic regression analysis showed that type Ⅲ TIC, spicule sign and peritumoural oedema were independent risk factors for LVI (OR=18.765, 7.965 and 4.018, respectively; all P＜0.05). The AUC of the MRI signs model (TIC type+peritumoural oedema+spicule sign) and the MRI signs combined with inflammatory indexes model (TIC type+peritumoural oedema+spicule sign+NLR) were 0.866 and 0.879, respectively. The Z-test showed that there was no statistically significant difference in the AUC between the two models (Z=-0.248, P=0.804). Conclusion:MRI signs combined with inflammatory indexes model (TIC type+peritumoural oedema+spicule sign+NLR) can help predict LVI in patients with lumpy early invasive breast cancer.