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

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...

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Bibliographic Details
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
Series:Computational and Structural Biotechnology Journal
Subjects:
Tongue cancer
Depth of invasion
Magnetic resonance imaging
Lymph node metastasis
Machine learning
Online Access:http://www.sciencedirect.com/science/article/pii/S2001037023002945

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http://www.sciencedirect.com/science/article/pii/S2001037023002945

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