Liu Xiulan
Department of Radiation Oncology, Fengcheng Hospital of Fengxian District, Shanghai, ChinaPublications
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Research Article
Prediction of Human Papillomavirus (HPV) Status in Oropharyngeal Squamous Cell Carcinoma Based on Radiomics and Machine Learning Algorithms: A Multi-Cohort Study
Author(s): Liang Zhinan43652, Zhang Wei43653, You Yudi43654, Dong Yabing43655, Xiao Yuanzhe43656 and Liu Xiulan43657*
Background: Human Papillomavirus status has significant implications for prognostic evaluation and clinical decision-making for Oropharyngeal Squamous Cell Carcinoma patients. As a novel method, radiomics provides a possibility for non-invasive diagnosis. The aim of this study was to examine whether Computed Tomography (CT) radiomics and machine learning classifiers can effectively predict Human Papillomavirus types and be validated in external data in patients with Oropharyngeal Squamous Cell Carcinoma based on imaging data from multi-institutional and multi-national cohorts. Materials and methods: 651 patients from three multi-institutional and multi-national cohorts are collected in this retrospective study: OPC-Radiomics cohort (n=497), MAASTRO cohort (n=74), and SNPH cohort (n=80). OPC-Radiomics cohort was randomized into training cohor.. Read More»
DOI: 10.31858/0975-8453.13.11.744-750
Abstract
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