医学
多元分析
队列
危险分层
内科学
多元统计
肿瘤科
放射科
机器学习
计算机科学
作者
Eliza Lauer,Ella Riegler,Jurik Mutter,Stefan Alig,Sabine Bleul,Julia Kuehn,Lavanya Ranganathan,Christian Klingler,Theo Demerath,Urs Würtemberger,Alexander Rau,Jakob Weiß,Michel Eisenblaetter,Fabian Bamberg,Marco Prinz,Jürgen Finke,Justus Duyster,Gerald Illerhaus,Maximilian Diehn,Ash A. Alizadeh
出处
期刊:Neuro-oncology
[Oxford University Press]
日期:2023-09-14
卷期号:26 (2): 374-386
被引量:3
标识
DOI:10.1093/neuonc/noad177
摘要
Central nervous system lymphomas (CNSL) display remarkable clinical heterogeneity, yet accurate prediction of outcomes remains challenging. The IPCG criteria are widely used in routine practice for the assessment of treatment response. However, the value of the IPCG criteria for ultimate outcome prediction is largely unclear, mainly due to the uncertainty in delineating complete from partial responses during and after treatment.
科研通智能强力驱动
Strongly Powered by AbleSci AI