A Prospectively Validated Prognostic Model for Patients with Locally Advanced Squamous Cell Carcinoma of the Head and Neck Based on Radiomics of Computed Tomography Images

A Prospectively Validated Prognostic Model for Patients with Locally Advanced Squamous Cell Carcinoma of the Head and Neck Based on Radiomics of Computed Tomography Images

Background: Locoregionally advanced head and neck squamous cell carcinoma (HNSCC) patients have high relapse and mortality rates. Imaging-based decision support may improve outcomes by optimising personalised treatment, and support patient risk stratification. We propose a multifactorial prognostic...

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Bibliographic Details
Main Authors: Simon A. Keek, Frederik W. R. Wesseling, Henry C. Woodruff, Janita E. van Timmeren, Irene H. Nauta, Thomas K. Hoffmann, Stefano Cavalieri, Giuseppina Calareso, Sergey Primakov, Ralph T. H. Leijenaar, Lisa Licitra, Marco Ravanelli, Kathrin Scheckenbach, Tito Poli, Davide Lanfranco, Marije R. Vergeer, C. René Leemans, Ruud H. Brakenhoff, Frank J. P. Hoebers, Philippe Lambin
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Cancers
Subjects:
radiomics
machine learning
precision medicine
head and neck cancer
survival study
Online Access:https://www.mdpi.com/2072-6694/13/13/3271

Internet

https://www.mdpi.com/2072-6694/13/13/3271

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