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Development and validation of MRI-based radiomics signatures models for prediction of disease-free survival and overall survival in patients with esophageal squamous cell carcinoma.

Funing ChuYun LiuQiuping LiuWeijia LiZhengyan JiaChenglong WangZhaoqi WangShuang LuPing LiYuanli ZhangYubo LiaoMingzhe XuXiaoqiang YaoShuting WangCuicui LiuHongkai ZhangShaoyu WangXu YanIhab R KamelHaibo SunGuang YangYudong ZhangJin-Rong Qu
Published in: European radiology (2022)
• Magnetic resonance-based radiomics features combined with clinical risk factors can predict survival in patients with ESCC. • The radiomics nomogram can be used clinically to predict patient recurrence, DFS, and OS. • Magnetic resonance imaging is highly reproducible in visualizing lesions and contouring the whole tumor.
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