Article

CT based Intratumor and Peritumoral Features for Predicting Prognosis of Patients with Head and Neck Cancer after Chemoradiotherapy: Using a Features Fusion Model

2025-05-15

Abstract excerpt

<title>Abstract</title> <p><bold>Objective</bold> This study developed a fusion feature model integrating traditional radiomic (Rad) and deep-learning (DL) features from distinct peritumoral areas to predict outcomes in head and neck squamous cell carcinoma (HNSCC) patients after chemoradiotherapy. <bold>Methods</bold> Data from 576 HNSCC patients (TCGA: 77; Center 1: 242; Center 2: 257) were retrospectively anal...

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Literature Corpus work: 557c043b-7cfc-5a4b-9803-34fd9901e071
DOI: 10.21203/rs.3.rs-6516053/v1

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