RT Journal Article
T1 Diagnostic performance of inflammatory biomarkers and cytological analysis in salivary gland tumors
A1 Abbate, Vincenzo
A1 Barone, Simona
A1 Borriello, Gerardo
A1 Troise, Stefania
A1 Bonavolontá, Paola
A1 Pacella, Daniela
A1 Vaira, Luigi Angelo
A1 Turri Zanoni, Mario
A1 Navarro Cuéllar, Carlos
A1 Califano, Luigi
A1 Dell' Aversana Orabona, Giovanni
AB BackgroundThis study aimed to evaluate the diagnostic performance of serum inflammatory biomarkers in salivary gland tumors with dubious results following cytological analysis.MethodsA retrospective analysis of 239 cases following surgery between January 2011 and June 2022 was performed. Receiver Operating Characteristic curves were drawn and areas under the curves were computed to evaluate the diagnostic performance of the inflammatory biomarkers (SII, SIRI, PLR, and NLR). Optimal cut-offs for each marker were determined by maximizing the Youden index.ResultsAnalysis showed that among the major biomarkers examined, SIRI performed an AUC of 0.77. The best SIRI cut-off was 0.94 with an accuracy of 79.9%. The accuracy, sensitivity, and specificity of cytological analysis were 77.8%, 59.6%, and 90.7% respectively. By combining SIRI with cytological analysis we demonstrated an increase in sensitivity to 82.8%.ConclusionsInflammatory biomarkers could be evaluated to support the diagnosis and treatment of salivary gland tumors in difficult cases.
PB Wiley
SN 1043-3074
YR 2023
FD 2023-09-26
LK https://hdl.handle.net/20.500.14352/107939
UL https://hdl.handle.net/20.500.14352/107939
LA eng
NO Abbate V, Barone S,Borriello G, et al. Diagnostic performance ofinflammatory biomarkers and cytological analysisin salivary gland tumors. Head & Neck. 2023;45(12):3015‐3023. doi:10.1002/hed.27528ABBATE ET AL . 3023
DS Docta Complutense
RD 10 abr 2025