The objective of this study is to determine if the incorporation of perineural invasion (PNI) into the T-classification would improve the prognostic performance of TNM-8. An international, multicenter study of 1049 patients with oral cavity squamous cell carcinoma that were treated from 1994 to 2018 is performed. Various classification models are developed within each T-category and evaluated using the Harrel-concordance index (C-index), Akaike-information criterion (AIC), and visual inspection. Stratification into distinct prognostic categories, with internal validation, is performed using bootstrapping analysis (SPSS and R-software). Through multivariate analysis, PNI is significantly associated with disease-specific survival (p < 0.001). PNI integration into the staging system results in a significantly improved model compared with the current T category alone (lower AIC, p < 0.001). The PNI-integrated model is superior in predicting differential outcomes between T3 and T4 patients. A new model for T-classification of oral cavity squamous cell carcinoma is proposed, which is based on incorporating PNI into the staging system. These data can be used for future evaluations of the TNM staging system.

Primary Tumor Staging for Oral Cancer and a Proposed Modification Incorporating Perineural Invasion: An International Multicenter Study

Ferrari M.;
2023

Abstract

The objective of this study is to determine if the incorporation of perineural invasion (PNI) into the T-classification would improve the prognostic performance of TNM-8. An international, multicenter study of 1049 patients with oral cavity squamous cell carcinoma that were treated from 1994 to 2018 is performed. Various classification models are developed within each T-category and evaluated using the Harrel-concordance index (C-index), Akaike-information criterion (AIC), and visual inspection. Stratification into distinct prognostic categories, with internal validation, is performed using bootstrapping analysis (SPSS and R-software). Through multivariate analysis, PNI is significantly associated with disease-specific survival (p < 0.001). PNI integration into the staging system results in a significantly improved model compared with the current T category alone (lower AIC, p < 0.001). The PNI-integrated model is superior in predicting differential outcomes between T3 and T4 patients. A new model for T-classification of oral cavity squamous cell carcinoma is proposed, which is based on incorporating PNI into the staging system. These data can be used for future evaluations of the TNM staging system.
2023
File in questo prodotto:
Non ci sono file associati a questo prodotto.
Pubblicazioni consigliate

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11577/3510126
Citazioni
  • ???jsp.display-item.citation.pmc??? 0
  • Scopus 0
  • ???jsp.display-item.citation.isi??? 0
social impact