Litcius/Paper detail

Prognostic role of pre-treatment magnetic resonance imaging (MRI)-based radiomic analysis in effectively cured head and neck squamous cell carcinoma (HNSCC) patients

Salvatore Alfieri, Rebecca Romanò, Marco Bologna, Giuseppina Calareso, Valentina Corino, Aurora Mirabile, Andrea Ferri, L Bellanti, Tito Poli, Alessandra Marcantoni, E Grosso, Achille Tarsitano, Salvatore Battaglia, F. Blengio, Iolanda De Martino, Sara Valerini, Stefania Vecchio, A. Richetti, Letizia Deantonio, Francesco Martucci, Alberto Grammatica, Marco Ravanelli, Toni Ibrahim, Damiano Caruso, Laura D. Locati, Ester Orlandi, Paolo Bossi, Luca Mainardi, Lisa Licitra

2021Acta Oncologica23 citationsDOIOpen Access PDF

Abstract

OBJECTIVES: To identify and validate baseline magnetic resonance imaging (b-MRI) radiomic features (RFs) as predictors of disease outcomes in effectively cured head and neck squamous cell carcinoma (HNSCC) patients. MATERIALS AND METHODS: . HR. The radiomic-based risk class was used in a multivariate Cox model, including well-established clinical prognostic factors (TNM, sub-site, human papillomavirus [HPV]). RESULTS: . 0.64). CONCLUSIONS: Radiomics of b-MRI can help to predict recurrence and survival outcomes in HNSCC.

Topics & Concepts

MedicineHead and neck squamous-cell carcinomaMagnetic resonance imagingInternal medicineHead and neck cancerProportional hazards modelOncologyHead and neckBasal cellArea under the curveMultivariate analysisRadiologyNuclear medicineCancerSurgeryRadiomics and Machine Learning in Medical ImagingHead and Neck Cancer StudiesColorectal and Anal Carcinomas