危险分层
子宫内膜癌
贝叶斯网络
医学
肿瘤科
分层(种子)
内科学
癌症
计算机科学
人工智能
生物
种子休眠
植物
发芽
休眠
作者
Marike Lombaers,Casper Reijnen,Ally Sprik,Petra Bretová,Marcel Grube,Stephanie Vrede,Hege F. Berg,Jasmin Asberger,Eva Colás,Jitka Hausnerová,Jutta Huvila,Antonio Gil‐Moreno,Xavier Matías‐Guiu,Michiel Simons,Marc P.L.M. Snijders,Nicole C.M. Visser,Stefan Kommoss,Vít Weinberger,Frédéric Amant,Peter Bronsert
标识
DOI:10.1016/j.ejca.2025.116058
摘要
Incorporation of molecular data and preoperative MI improved the flexibility of ENDORISK with comparable diagnostic accuracy for estimating LNM as when based on low-cost immunohistochemical biomarkers. In addition, the high diagnostic accuracy in patients with low-grade EC demonstrates how ENDORISK-2 could aid clinicians in identifying patients in whom surgical lymph node assessment may safely be omitted. These results underline its power for clinical use in both high and low resource countries.
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