Multi-centre radiomics for prediction of recurrence following radical radiotherapy for head and neck cancers: Consequences of feature selection, machine learning classifiers and batch-effect harmonization.

Amal Joseph Varghese,Varsha Gouthamchand,Balu Krishna Sasidharan,Leonard Wee,Sharief K Sidhique, Julia Priyadarshini Rao,Andre Dekker,Frank Hoebers,Devadhas Devakumar,Aparna Irodi,Timothy Peace Balasingh,Henry Finlay Godson, T Joel,Manu Mathew,Rajesh Gunasingam Isiah,Simon Pradeep Pavamani,Hannah Mary T Thomas

Physics and imaging in radiation oncology（2023）

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摘要

Multi-institutional retrospective data accentuates the existing variabilities that affect radiomics. Carefully designed prospective, multi-institutional studies and data sharing are necessary for clinically relevant head-and-neck cancer prognostication models.

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关键词

radical radiotherapy,neck cancers,feature selection,machine learning classifiers,multi-centre,batch-effect

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