Contrast-Enhanced Computed Tomography-Based Machine Learning Radiomics Predicts IDH1 Expression and Clinical Prognosis in Head and Neck Squamous Cell Carcinoma.

Le Wang & Fanglei Ye et al. · 2024

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TL;DR

The developed radiomic model, derived from CECT features, offers a promising approach for diagnosing and prognosticating HNSCC and emerged as a distinct predictive factor in patients with HNSCC.

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Authors
Le Wang, Jilin Peng, Baohong Wen, Ziyu Zhai, Sijie Yuan, Yulin Zhang, Ling Ii, Weijie Li, Yinghui Ding, Yixu Wang, Fanglei Ye