预测在肝细胞癌中等候名单中断:一个叙事评论
Rafael Calleja1,2, Eva Aguilera1, Manuel Durán1,2
1Hepatobiliary and Liver Transplantation Surgery Department, Reina Sofía University Hospital, Córdoba, Spain.
Translational gastroenterology and hepatology
|November 6, 2024
概括
预测肝细胞癌 (HCC) 患者退出肝移植等待名单至关重要. 目前使用瘤大小,AFP和MELD得分的模型显示出有希望的结果,但需要更好的数据用于临床使用.
科学领域:
- 肝病学 肝病学是一种肝病学.
- 移植医学 移植医学
- 在瘤学瘤学.
背景情况:
- 肝移植是肝细胞癌 (HCC) 的首要治疗方法.
- 器官短缺在分配肝脏移植给HCC患者方面带来了挑战.
- 预测等候名单中断对于公平的器官分配至关重要.
研究的目的:
- 对HCC等候名单中断的现有预测模型进行审查.
- 总结影响等待名单上HCC患者进展的因素.
- 评估目前HCC肝移植预测建模的现状.
主要方法:
- 一个叙述性的回顾发表的文章,直到2023年12月25日.
- 包括使用统计和机器学习 (ML) 模型进行中断预测的研究.
- 排除不关注预测建模的文章.
主要成果:
- 瘤大小,α-胎蛋白 (AFP) 水平,MELD得分和对局部区域治疗 (LRT) 的反应是中断的关键预测因素.
- 大多数现有的模型都是统计的,ML模型的应用有限.
- 尽管进行了许多尝试,但目前在临床实践中尚未实施HCC等候名单中断预测模型.
结论:
- 需要准确可靠的模型来改善肝脏移植中HCC患者分层.
- 改进的研究方法和强大的数据库对于模型开发至关重要.
- 预测模型的临床适用性需要进一步验证和改进.
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