Machine learning-based pathomics model to predict the infiltration of regulatory T cells and prognosis in isocitrate dehydrogenase-wild- type glioblastoma
Shaoli Peng,
Xuezhen Wang,
Jinyang Chen
et al.
Abstract:Purpose
Regulatory T cells (Tregs) have been highlighted as prognostic factors in isocitrate dehydrogenase (IDH)-wild-type (wt) glioblastoma (GBM). However, conventional detection of Tregs with immunohistochemistry is limited for practical application in clinical settings. The aim of this study was to construct a pathomics model to predict Treg infiltration in IDH-wt GBM and explore the related biological processes.
Methods
Using the Pyradiomics package, pathomics features were extracted from hematoxylin and… Show more
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