医学
子宫内膜癌
分类器(UML)
肿瘤科
内科学
妇科
癌症
人工智能
计算机科学
作者
Amy Jamieson,Marcel Grube,F. Kommoss,Amy Lum,Samuel Leung,Derek S. Chiu,George I. Henderson,Florian Heitz,Sabine Heublein,A G Zeimet,Annette Hasenburg,Joachim Diebold,Christina Barbara Walter,Annette Staebler,John A. Reynolds,Anna Lapuk,Melissa K. McConechy,David G. Huntsman,C. Blake Gilks,Stefan Kommoss,Jessica N. McAlpine
出处
期刊:International Journal of Gynecological Cancer
[BMJ]
日期:2024-10-26
卷期号:: ijgc-005916
标识
DOI:10.1136/ijgc-2024-005916
摘要
We have previously shown that DNA based, single test molecular classification by next generation sequencing (NGS) (Proactive Molecular risk classifier for Endometrial cancer (ProMisE) NGS) is highly concordant with the original ProMisE classifier and maintains prognostic value in endometrial cancer. Our aim was to validate ProMisE NGS in an independent cohort and assess the performance of ProMisE NGS in real world clinical practice to address if there were any practical challenges or learning points for implementation.
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