Prediction of Incomplete Response of Primary Tumour Based on Clinical and Radiomics Features in Inoperable Head and Neck Cancers after Definitive Treatment

Prediction of Incomplete Response of Primary Tumour Based on Clinical and Radiomics Features in Inoperable Head and Neck Cancers after Definitive Treatment

Radical treatment of patients diagnosed with inoperable and locally advanced head and neck cancers (LAHNC) is still a challenge for clinicians. Prediction of incomplete response (IR) of primary tumour would be of value to the treatment optimization for patients with LAHNC. Aim of this study was to d...

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Bibliographic Details
Main Authors: Joanna Kaźmierska, Michał R. Kaźmierski, Tomasz Bajon, Tomasz Winiecki, Anna Bandurska-Luque, Adam Ryczkowski, Tomasz Piotrowski, Bartosz Bąk, Małgorzata Żmijewska-Tomczak
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Journal of Personalized Medicine
Subjects:
head and neck cancer
radiotherapy
incomplete response
predictive models
radiomics
Online Access:https://www.mdpi.com/2075-4426/12/7/1092

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