Kidney cancer is a global health concern, and accurate assessment of patient frailty is crucial for optimizing surgical outcomes. This paper introduces AI Age Discrepancy, a novel metric derived from machine learning analysis of preoperative abdominal CT scans, as a potential indicator of frailty and postoperative risk in kidney cancer patients. This retrospective study of 599 patients from the 2023 Kidney Tumor Segmentation (KiTS) challenge dataset found that a higher AI Age Discrepancy is significantly associated with longer hospital stays and lower overall survival rates, independent of established factors. This suggests that AI Age Discrepancy may provide valuable insights into patient frailty and could thus inform clinical decision-making in kidney cancer treatment.

翻译：肾癌是全球性的健康问题，准确评估患者衰弱状态对于优化手术结果至关重要。本文介绍了AI年龄差异，这是一种通过机器学习分析术前腹部CT扫描得出的新型指标，作为肾癌患者衰弱和术后风险的潜在指示器。这项对来自2023年肾肿瘤分割挑战数据集的599名患者进行的回顾性研究发现，较高的AI年龄差异与较长的住院时间和较低的总生存率显著相关，且独立于已知因素。这表明AI年龄差异可能为患者衰弱状态提供有价值的见解，从而为肾癌治疗的临床决策提供参考。