Detection of Cancer Recurrence Using Systemic Inflammatory Markers and Machine Learning after Concurrent Chemoradiotherapy for Head and Neck Cancers

Detection of Cancer Recurrence Using Systemic Inflammatory Markers and Machine Learning after Concurrent Chemoradiotherapy for Head and Neck Cancers

Pretreatment values of the neutrophil-to-lymphocyte ratio (NLR) and the platelet-to-lymphocyte ratio (PLR) are well-established prognosticators in various cancers, including head and neck cancers. However, there are no studies on whether temporal changes in the NLR and PLR values after treatment are...

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Bibliographic Details
Main Authors: Yoon Kyoung So, Zero Kim, Taek Yoon Cheong, Myung Jin Chung, Chung-Hwan Baek, Young-Ik Son, Jungirl Seok, Yuh-Seog Jung, Myung-Ju Ahn, Yong Chan Ahn, Dongryul Oh, Baek Hwan Cho, Man Ki Chung
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Cancers
Subjects:
deep neural network
machine learning
head and neck cancers
cancer recurrence
concurrent chemoradiotherapy
Online Access:https://www.mdpi.com/2072-6694/15/14/3540

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