Random survival forest predicts survival in patients with metastatic laryngeal and hypopharyngeal cancer and the prognostic benefits of surgery and radiotherapy

作者：Yusheng Wang, Chaofan Li, Feilun Yang, Minjie Gong, Jingkun Qu, Ruiping Ma, Zhenzhen Hu, Miao Lou, Xiaoyong Ren, Guoxi Zheng, Yanxia Bai, Ya Zhang, Jin Hou · 发表于：Journal of Cancer · 年份：2024 · DOI：10.7150/jca.103793 · 被引用次数：5 · 研究领域：Head and Neck Cancer Studies、Lung Cancer Diagnosis and Treatment、Radiomics and Machine Learning in Medical Imaging

The clinical and pathological features of metastatic laryngeal/hypopharyngeal cancer were systematically analyzed using an artificial intelligence (AI) model to predict survival. Subgroup analyses identified patients most likely to benefit from primary tumor surgery and radiotherapy. These findings may guide the development of personalized treatment strategies, potentially improving the prognosis of patients with DM.