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AI algorithm may help better guide oropharynx cancer treatmentnexium music a trial that specifically excluded radiographic matted nodes or overt clinical ENE. Four expert head and neck radiologists from National Comprehensive Cancer Network comprehensive cancer centers, and with access to a validated educational guideline for radiographic ENE criteria, individually reviewed the lymph nodes, and made a prediction of node positivity or ENE on a forced Likert scale. ENE classification performance was compared between the deep learning algorithm and the radiologists, with a primary endpoint of area under the receiver operating characteristic curve. 3D=three dimensional. AUC=area under curve. ECOG-ACRIN=Eastern Cooperative Oncology Group and the American College of Radiology Imaging Network. ENE=extranodal extension. ROC=receiver operating characteristic. Credit: The Lancet Digital Health (2023). DOI: 10.1016/S2589-7500(23)00046-8″ width=”800″ height=”530″>
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