Improved Cervical Lymph Node Characterization among Patients with Head and Neck Squamous Cell Carcinoma Using MR Texture Analysis Compared to Traditional FDG-PET/MR Features Alone

Improved Cervical Lymph Node Characterization among Patients with Head and Neck Squamous Cell Carcinoma Using MR Texture Analysis Compared to Traditional FDG-PET/MR Features Alone

Accurate differentiation of benign and malignant cervical lymph nodes is important for prognosis and treatment planning in patients with head and neck squamous cell carcinoma. We evaluated the diagnostic performance of magnetic resonance image (MRI) texture analysis and traditional 18F-deoxyglucose...

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Bibliographic Details
Main Authors: Eric K. van Staalduinen, Robert Matthews, Adam Khan, Isha Punn, Renee F. Cattell, Haifang Li, Ana Franceschi, Ghassan J. Samara, Lukasz Czerwonka, Lev Bangiyev, Tim Q. Duong
Format: Article
Language:English
Published: MDPI AG 2023-12-01
Series:Diagnostics
Subjects:
texture analysis
cervical lymphadenopathy
PET-MRI
squamous cell carcinoma
machine learning
Online Access:https://www.mdpi.com/2075-4418/14/1/71

Internet

https://www.mdpi.com/2075-4418/14/1/71

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