Locoregional recurrence (LRR) is the predominant pattern of relapse after nonsurgical treatment of head and neck squamous cell cancer (HNSCC). Therefore, accurately identifying patients with HNSCC who are at high risk for LRR is important for optimizing personalized treatment plans. In this work, we developed a multi‐classifier, multi‐objective, and multi‐modality (mCOM) radiomics‐based outcome prediction model for HNSCC LRR.

中文翻译：

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用于预测头颈部鳞状细胞癌局部复发的多目标放射学模型。

局部复发（LRR）是头颈鳞状细胞癌（HNSCC）非手术治疗后复发的主要方式。因此，准确识别高LRR风险的HNSCC患者对于优化个性化治疗计划很重要。在这项工作中，我们为HNSCC LRR开发了基于多分类器，多目标和多模式（mCOM）放射学的结果预测模型。