LAUSR

The treatment decision-making of mucinous pancreatic cystic neoplasm (PCN) has become a common clinical problem since the diagnostic accuracy of current tests in identifying malignancies in pancreatic cysts is limited. In this study, we aimed to validate the predictive value of systemic inflammatory factors in detecting malignant PCNs. Two hundred and forty-five patients with pathologically confirmed mucinous PCNs in a single Chinese institution were retrospectively analyzed. Receiver operating characteristic (ROC) curves were calculated to determine the optimal cut-off values and measure the diagnostic value. The results showed that neutrophil count (P = 0.009), lymphocyte count (P = 0.002), neutrophil-to-lymphocyte ratio (NLR, P < 0.001), platelet-to-lymphocyte ratio (PLR, P < 0.001) and lymphocyte-to-monocyte ratio (LMR, P < 0.001) were distributed differently among the various differentiation groups of PCN. The univariate analyses indicated that a neutrophil count ≥ 2.8 × 109/L (P = 0.024), lymphocyte count ≤ 1.9 × 109/L (P < 0.001), PLR ≥ 125 (P < 0.001), NLR ≥ 1.96 (P < 0.001), and LMR ≤ 4.29 (P < 0.001) were significantly associated with invasive carcinomas in PCN patients. In addition, the multivariate analyses demonstrated that PLR ≥ 125 and LMR ≤ 4.29 were independent predictors of invasive malignancies. The ROC curves exhibited the malignant detection utility of the independent factor-based predictive model with an area under the curve (AUC) of 0.858 (P < 0.001). In conclusion, systemic inflammatory markers provide a supportive and easily accessible tool for the preoperative diagnoses of malignant PCNs.