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Predictive value of neutrophil to lymphocyte ratio, platelet to lymphocyte ratio, and systemic inflammatory index for detection of recurrence of pleomorphic adenoma of the major salivary glands: a multicenter study

Articolo
Data di Pubblicazione:
2025
Citazione:
Predictive value of neutrophil to lymphocyte ratio, platelet to lymphocyte ratio, and systemic inflammatory index for detection of recurrence of pleomorphic adenoma of the major salivary glands: a multicenter study / Salzano, G., Barone, S., De Luca, P., Borriello, G., Vaira, L.A., Troise, S., Granata, V., Committeri, U., Perri, F., Esposito, M., di Blasi, F., Petrocelli, M., Ionna, F., Califano, L., Orabona, G.D., Stadio, A.D.. - In: ORAL SURGERY, ORAL MEDICINE, ORAL PATHOLOGY AND ORAL RADIOLOGY. - ISSN 2212-4403. - 139:1(2025), pp. 73-79. [10.1016/j.oooo.2024.08.014]
Abstract:
Objective: The aim of this study was to investigate the correlation among inflammatory biomarkers, such as the systemic immune-inflammation index (SII), the neutrophil-to-lymphocyte ratio (NLR) and the platelet-to-lymphocyte ratio (PLR), and the recurrence of pleomorphic adenomas (PAs). Study Design: This was a retrospective multicenter study. Six hundred eight patients diagnosed with PA and treated by tumor enucleation were included in the analyses. The patients were extracted from a 20-year database of 2 referral centers (January 2000 to January 2020). Data about age, gender, voluntary habits, tumor characteristics, tumor treatment, and values of NLR, PLR, and SII were collected. A receiver operating characteristic (ROC) curve was used to calculate the optimal cutoff values for SII, PLR, and NLR. A linear regression model (LRM) and a nonlinear logistic regression model (NLRM) were implemented for NLR, PLR, and SII. Results: All 3 inflammatory parameters were statistically significant correlated to the recurrence of the tumor. The best performance was achieved by NLR (cutoff of 2.960) with area under the ROC curve (AUC) = 0.91, accuracy of 96.1%, sensitivity of 78.4% and specificity of 97.2%, PPV = 64.4%, and NPV = 98.6%. LRM and NLRM including all hematological parameters did not improve performance in terms of recurrence detection. Conclusions: The use of 3 inflammatory biomarkers could be a useful tool to predict recurrence of tumor in case of PA ≤ 3 cm. NLR in particular could be sensitive with a cutoff of 2.960. The use of NLR, PLR, and SII could be a good reference point for surgical decision making and follow-up in clinical practice. (Oral Surg Oral Med Oral Pathol Oral Radiol YEAR;VOL:page range)
Tipologia CRIS:
1.1 Articolo in rivista
Elenco autori:
Salzano, G.; Barone, S.; De Luca, P.; Borriello, G.; Vaira, L. A.; Troise, S.; Granata, V.; Committeri, U.; Perri, F.; Esposito, M.; di Blasi, F.; Petrocelli, M.; Ionna, F.; Califano, L.; Orabona, G. D.; Stadio, A. D.
Autori di Ateneo:
VAIRA Luigi Angelo
Link alla scheda completa:
https://iris.uniss.it/handle/11388/354890
Pubblicato in:
ORAL SURGERY, ORAL MEDICINE, ORAL PATHOLOGY AND ORAL RADIOLOGY
Journal
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