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.

介绍了一种新的指标 AI Age Discrepancy，通过对术前腹部 CT 扫描的机器学习分析得出，作为评估肾癌患者脆弱性和术后风险的潜在指标。这项回顾性研究发现，较高的 AI Age Discrepancy 与较长的住院时间和较低的总体生存率显著相关，独立于已确立的因素。这表明 AI Age Discrepancy 可能为评估患者脆弱性提供有价值的信息，并在肾癌治疗的临床决策中发挥作用。