Magnetic resonance imaging-based prediction models for tumor stage and cervical lymph node metastasis of tongue squamous cell carcinoma

Purpose: To evaluate the ability of preoperative MRI-based measurements to predict the pathological T (pT) stage and cervical lymph node metastasis (CLNM) via machine learning (ML)-driven models trained in oral tongue squamous cell carcinoma (OTSCC). Materials and methods: 108 patients with a new di...

Full description

Bibliographic Details

Published in:	Computational and Structural Biotechnology Journal
Main Authors:	Antonello Vidiri, Simona Marzi, Francesca Piludu, Sonia Lucchese, Vincenzo Dolcetti, Eleonora Polito, Francesco Mazzola, Paolo Marchesi, Elisabetta Merenda, Isabella Sperduti, Raul Pellini, Renato Covello
Format:	Article
Language:	English
Published:	Elsevier 2023-01-01
Subjects:	Tongue cancer Depth of invasion Magnetic resonance imaging Lymph node metastasis Machine learning
Online Access:	http://www.sciencedirect.com/science/article/pii/S2001037023002945