Does Reorganization of Clinicopathological Information Improve Prognostic Stratification and Prediction of Chemoradiosensitivity in Sinonasal Carcinomas? A Retrospective Study on 145 Patients

Does Reorganization of Clinicopathological Information Improve Prognostic Stratification and Prediction of Chemoradiosensitivity in Sinonasal Carcinomas? A Retrospective Study on 145 Patients

BackgroundThe classification of sinonasal carcinomas (SNCs) is a conundrum. Consequently, prognosis and prediction of response to non-surgical treatment are often unreliable. The availability of prognostic and predictive measures is an unmet need, and the first logical source of information to be in...

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Bibliographic Details
Main Authors: Marco Ferrari, Davide Mattavelli, Alberto Schreiber, Tommaso Gualtieri, Vittorio Rampinelli, Michele Tomasoni, Stefano Taboni, Laura Ardighieri, Simonetta Battocchio, Anna Bozzola, Marco Ravanelli, Roberto Maroldi, Cesare Piazza, Paolo Bossi, Alberto Deganello, Piero Nicolai
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-06-01
Series:Frontiers in Oncology
Subjects:
sinonasal
carcinoma
skull base (head and neck)
classification
machine learning
prognosis
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2022.799680/full

Internet

https://www.frontiersin.org/articles/10.3389/fonc.2022.799680/full

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