Contrast enhancement is a prognostic factor in IDH1/2 mutant, but not in wild-type WHO grade II/III glioma as confirmed by machine learning

被引:34
|
作者
Suchorska, Bogdana [1 ,2 ]
Schueller, Ulrich [3 ,4 ,5 ,6 ]
Biczok, Annamaria [1 ,2 ]
Lenski, Markus [1 ,2 ]
Albert, Nathalie L. [2 ,7 ]
Giese, Armin [2 ,3 ]
Kreth, Friedrich-Wilhelm [1 ,2 ]
Ertl-Wagner, Birgit [8 ]
Tonn, Joerg-Christian [1 ,2 ]
Ingrisch, Michael [8 ]
机构
[1] Ludwig Maximilians Univ Munchen, Dept Neurosurg, Marchioninistr 15, D-81377 Munich, Germany
[2] German Canc Res Ctr, German Canc Consortium DKTK, Partner Site Munich, Heidelberg, Germany
[3] Ludwig Maximilians Univ Munchen, Ctr Neuropathol & Prion Res, Munich, Germany
[4] Univ Med Ctr, Inst Neuropathol, Hamburg, Germany
[5] Childrens Canc Ctr, Res Inst, Hamburg, Germany
[6] Univ Med Ctr, Dept Pediat Hematol & Oncol, Hamburg, Germany
[7] Ludwig Maximilians Univ Munchen, Dept Nucl Med, Munich, Germany
[8] Ludwig Maximilians Univ Munchen, Dept Radiol, Munich, Germany
关键词
IDH mutation; Glioma; Contrast enhancement; Co-del; 1p/19q; Machine learning; MOLECULAR CLASSIFICATION; SURVIVAL; ASTROCYTOMAS; ASSOCIATION; MUTATIONS; CRITERIA; ADULTS; TUMORS;
D O I
10.1016/j.ejca.2018.10.019
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Background: Mutation of the isocitrate dehydrogenase (IDH) gene and co-deletion on chromosome 1p/19q is becoming increasingly relevant for the evaluation of clinical outcome in glioma. Among the imaging parameters, contrast enhancement (CE) in WHO II/III glioma has been reported to indicate poor outcome in the past. We aimed at reassessing the prognostic value of CE in these tumours within the framework of molecular markers using a machine learning approach (random survival forests [RSF]) as well as conventional Cox regression modelling. Methods: 301 patients with WHO grade II (n = 181) or grade III glioma (n = 120) were stratified according to their molecular profile. Pre-operative magnetic resonance imaging (MRI) was reviewed and volumetric analyses of CE and T-2 volumes were performed followed by conventional univariate and multivariate Cox analyses. Furthermore, the dataset was split into discovery and validation datasets, and RSFs were trained on the discovery dataset to predict the individual risk of each patient. Concordance indices for Cox and RSF models were determined and the variable importance of explanatory variables was assessed using the minimal-depth concept. Results: In IDH mut tumours only, both conventional Cox regression modelling and RSF analyses showed that CE on initial MRI is a prognostic factor for survival with dependence on volume (p < 0.05). In contrast, presence of CE on initial MRI was not associated with outcome in IDH wt tumours. Conclusions: In patients with diffuse IDH wt gliomas WHO grade II/III, CE is not associated with survival, whereas in tumours with an IDH mutation, presence of CE on initial MRI is linked to inferior survival. (C) 2018 Elsevier Ltd. All rights reserved.
引用
收藏
页码:15 / 27
页数:13
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